Below is the list of research publications for the School of Computer Science in the academic year 2023/2024.
| Professor Eleni Mangina | |
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Cai, Y., Mangina, E., & Goei, S. L. (2023). Mixed Reality for Education. Springer. |
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| Dr Avishek Nag | |
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Ahmadi, H., Duong, T. Q., Nag, A., Sharma, V., Canberk, B., & Dobre, O. A. (2024). Digital twins for 6G: Fundamental theory, technology and applications. doi:10.1049/PBTE109E - Available Online |
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Mahapatra, R., Bhattacharyya, S., & Nag, A. (2024). Intelligent communication networks: Research and applications. doi:10.1201/9781003303114 - Available Online |
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| Dr Erfan A. Shams | |
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Shams, E. A., & Carson-Berndsen, J. (2024). Attention to Phonetics: A Visually Informed Explanation of Speech Transformers. In Unknown Book (Vol. 15049 LNAI, pp. 81-93). doi:10.1007/978-3-031-70566-3_8 - Available Online |
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| Dr Helard Becerra | |
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Martinez, H. B., Cisek, K., García-Rudolph, A., Kelleher, J. D., & Hines, A. (2024). Transparently Predicting Therapy Compliance of Young Adults Following Ischemic Stroke. In Unknown Book (Vol. 2156 CCIS, pp. 24-41). doi:10.1007/978-3-031-63803-9_2 - Available Online |
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| Professor Julie Carson-Berndsen | |
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Shams, E. A., & Carson-Berndsen, J. (2024). Attention to Phonetics: A Visually Informed Explanation of Speech Transformers. In Unknown Book (Vol. 15049 LNAI, pp. 81-93). doi:10.1007/978-3-031-70566-3_8 - Available Online |
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| Dr Rob Brennan | |
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Pandit, H. J., Ryan, P., Krog, G. P., Crane, M., & Brennan, R. (2023). Towards a Semantic Specification for GDPR Data Breach Reporting. In Unknown Book (Vol. 379, pp. 131-136). doi:10.3233/FAIA230956 - Available Online |
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McDonald, N., Ward, M. E., McKenna, L., Vining, R., Hernandez, J., Doyle, B., et al. (2024). Accountable Risk Management in Healthcare During the COVID-19 Pandemic; the Role of STSA and AI. In Springer Series in Design and Innovation (Vol. 30, pp. 89-98). doi:10.1007/978-3-031-32198-6_10 - Available Online |
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Ebiele, M., Bendechache, M., Ward, M., Geary, U., Byrne, D., Creagh, D., & Brennan, R. (2024). The Impact of Data Valuation on Feature Importance in Classification Models. In Unknown Book (Vol. 917, pp. 601-617). doi:10.1007/978-981-97-0892-5_47 - Available Online |
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| Dr Abey Campbell | |
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Xu, X., Kilroy, D., Kumar, A., Iqbal, M. Z., Mangina, E., & Campbell, A. G. (2023). Mixed Reality Applications in Tertiary Veterinary Education: A Systematic Review. In Gaming Media and Social Effects (pp. 241-264). Springer Nature Singapore. doi:10.1007/978-981-99-4958-8_10 - Available Online |
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Iqbal, M. Z., Xu, X., Nallur, V., Scanlon, M., & Campbell, A. G. (2023). Security, Ethics and Privacy Issues in the Remote Extended Reality for Education. In Gaming Media and Social Effects (pp. 355-380). Springer Nature Singapore. doi:10.1007/978-981-99-4958-8_16 - Available Online |
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| Dr Simon Caton | |
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Qureshi, M. A., Younus, A., & Caton, S. (2024). Inclusive Counterfactual Generation: Leveraging LLMs in Identifying Online Hate. In Unknown Book (Vol. 14629 LNCS, pp. 34-48). doi:10.1007/978-3-031-62362-2_3 - Available Online |
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| Dr Alireza Dehghani | |
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Li, Y., Xu, J., & Dehghani, A. (2024). Logo-SSL: Self-supervised Learning with Self-attention for Efficient Logo Detection. In Unknown Book (Vol. 14403 LNCS, pp. 234-245). doi:10.1007/978-981-97-0376-0_18 - Available Online |
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| Dr Ruihai Dong | |
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Mukande, T., Ali, E., Caputo, A., Dong, R., & O’Connor, N. E. (2024). MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation. In Unknown Book (Vol. 14610 LNCS, pp. 316-325). doi:10.1007/978-3-031-56063-7_23 - Available Online |
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| Dr Daniel Gibert | |
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Gibert, D., Zizzo, G., & Le, Q. (2024). Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing. In Unknown Book (Vol. 14399 LNCS, pp. 683-699). doi:10.1007/978-3-031-54129-2_40 - Available Online |
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| Assoc Professor Derek Greene | |
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O’Shea, N., Greene, D., & Fenelon, M. A. (2024). Artificial Intelligence in Food Safety. In Encyclopedia of Food Safety (pp. 178-184). Elsevier. doi:10.1016/b978-0-12-822521-9.00258-6 - Available Online |
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Datta, S., Ganguly, D., MacAvaney, S., & Greene, D. (2024). A Deep Learning Approach for Selective Relevance Feedback. In Unknown Book (Vol. 14609 LNCS, pp. 189-204). doi:10.1007/978-3-031-56060-6_13 - Available Online |
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| Dr Andrew Hines | |
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Martinez, H. B., Cisek, K., García-Rudolph, A., Kelleher, J. D., & Hines, A. (2024). Transparently Predicting Therapy Compliance of Young Adults Following Ischemic Stroke. In Unknown Book (Vol. 2156 CCIS, pp. 24-41). doi:10.1007/978-3-031-63803-9_2 - Available Online |
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| Assoc Professor Georgiana Ifrim | |
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Aderinola, T., Palmerini,, L., D’Ascanio, I., Chiari, L., Klenk, J., Becker, C., et al. (2024). Accurate and Efficient Real-World Fall Detection Using Time Series Techniques. In Springer. Vilnius, Lithuania: Springer Nature. Retrieved from https://www.researchgate.net/ |
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Serramazza, D. I., Nguyen, T. L., & Ifrim, G. (2024). Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification. In Lecture Notes in Computer Science (pp. 177-195). Springer Nature Switzerland. doi:10.1007/978-3-031-70359-1_11 - Available Online |
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| Dr Aonghus Lawlor | |
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Feely, C., Caulfield, B., Lawlor, A., & Smyth, B. (2024). A Case-Based Reasoning Approach to Post-injury Training Recommendations for Marathon Runners. In Unknown Book (Vol. 14775 LNAI, pp. 338-353). doi:10.1007/978-3-031-63646-2_22 - Available Online |
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| Dr Quan Le | |
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Gibert, D., Zizzo, G., & Le, Q. (2024). Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing. In Unknown Book (Vol. 14399 LNCS, pp. 683-699). doi:10.1007/978-3-031-54129-2_40 - Available Online |
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| Assoc Professor Nhien An Le Khac | |
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Somers, B., Sayakkara, A., Hayes, D. R., & Le-Khac, N. A. (2024). Finding Forensic Artefacts in Long-Term Frequency Band Occupancy Measurements Using Statistics and Machine Learning. In Unknown Book (Vol. 570 LNICST, pp. 227-248). doi:10.1007/978-3-031-56580-9_14 - Available Online |
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Yasarathna, T. L., Munasinghe, L., Kalutarage, H., & Le-Khac, N. A. (2024). Cross-Validation for Detecting Label Poisoning Attacks: A Study on Random Forest Algorithm. In Unknown Book (Vol. 710, pp. 451-464). doi:10.1007/978-3-031-65175-5_32 - Available Online |
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Stenzel, P., & Le-Khac, N. A. (2024). Identify Users on Dating Applications: A Forensic Perspective. In Unknown Book (Vol. 570 LNICST, pp. 58-77). doi:10.1007/978-3-031-56580-9_4 - Available Online |
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| Assoc Professor Madhusanka Liyanage | |
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Sandeepa, C., Senevirathna, T., Siniarski, B., Nguyen, M. D., La, V. H., Wang, S., & Liyanage, M. (2024). From Opacity to Clarity: Leveraging XAI for Robust Network Traffic Classification. In Unknown Book (Vol. 1995, pp. 125-138). doi:10.1007/978-3-031-51135-6_11 - Available Online |
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| Assoc Professor Brian Mac Namee | |
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Hagos, M. T., Belton, N., Killeen, R. P., Curran, K. M., & Mac Namee, B. (2023). Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer’s Disease from MRI Images. In Lecture Notes in Computer Science (pp. 391-403). Springer Nature Switzerland. doi:10.1007/978-3-031-47994-6_35 - Available Online |
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Parise, A., & Mac Namee, B. (2023). Exploring Optimal Configurations in Active Learning for Medical Imaging. In Lecture Notes in Computer Science (pp. 75-88). Springer Nature Switzerland. doi:10.1007/978-3-031-47994-6_6 - Available Online |
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Parise, A., & Mac Namee, B. (2024). Explainable Interactive Machine Learning Using Prototypical Part Networks for Medical Image Analysis. In Unknown Book (Vol. 386, pp. 402-408). doi:10.3233/FAIA240214 - Available Online |
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| Professor Eleni Mangina | |
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Seta, L., Goei, S. L., Chiazzese, G., Arrigo, M., Farella, M., Tosto, C., et al. (2023). Development of AR Interactive Components for Positive Behavioral Interventions and Supports. In Gaming Media and Social Effects (pp. 315-335). Springer Nature Singapore. doi:10.1007/978-981-99-4958-8_14 - Available Online |
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Cai, Y., Mangina, E., & Goei, S. L. (2023). Introduction. In Gaming Media and Social Effects (pp. 1-5). Springer Nature Singapore. doi:10.1007/978-981-99-4958-8_1 - Available Online |
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Psyrra, G., Mangina, E., & Treacy, R. (2023). Case Study of AR Digital Literacy Intervention for Students Diagnosed with ADHD. In Gaming Media and Social Effects (pp. 291-313). Springer Nature Singapore. doi:10.1007/978-981-99-4958-8_13 - Available Online |
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Iqbal, M. Z., Xu, X., Nallur, V., Scanlon, M., & Campbell, A. G. (2023). Security, Ethics and Privacy Issues in the Remote Extended Reality for Education. In Gaming Media and Social Effects (pp. 355-380). Springer Nature Singapore. doi:10.1007/978-981-99-4958-8_16 - Available Online |
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Ryan, G., Murphy, J., McAuliffe, F., & Mangina, E. (2023). VRLE-Based Teaching for Medical Students: VR-Baby. In Gaming Media and Social Effects (pp. 187-213). Springer Nature Singapore. doi:10.1007/978-981-99-4958-8_8 - Available Online |
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Xu, X., Kilroy, D., Kumar, A., Iqbal, M. Z., Mangina, E., & Campbell, A. G. (2023). Mixed Reality Applications in Tertiary Veterinary Education: A Systematic Review. In Gaming Media and Social Effects (pp. 241-264). Springer Nature Singapore. doi:10.1007/978-981-99-4958-8_10 - Available Online |
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Duncan, S., Bampoulas, A., Hoare, C., Ali, U., O’Donnell, J., & Mangina, E. (2024). A User-Friendly Web-Based Interface for Integrated Life-Cycle Cost Analysis and 3D Asset Visualisation in Real Estate Management. In Unknown Book (Vol. 2102 CCIS, pp. 440-451). doi:10.1007/978-3-031-64359-0_34 - Available Online |
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| Assoc Professor Gavin McArdle | |
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Zarbakhsh, N., & McArdle, G. (2024). A Novel Framework for Spatiotemporal POI Analysis. In Unknown Book (Vol. 14673 LNCS, pp. 23-40). doi:10.1007/978-3-031-60796-7_2 - Available Online |
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| Dr Aidan Murphy | |
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Murphy, A., Mahdinejad, M., Ahmad, S. S., Kenny, J., & Ventresque, A. (2024). Optimising a Peer Based Learning Environment. In Unknown Book (Vol. 14798 LNCS, pp. 386-394). doi:10.1007/978-3-031-63028-6_33 - Available Online |
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| Dr Avishek Nag | |
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Chetty, S. B., Ahmadi, H., Tornatore, M., & Nag, A. (2024). Dynamic decomposition of service function chain using a deep reinforcement learning approach. In Digital Twins for 6G: Fundamental theory, technology and applications (pp. 203-235). doi:10.1049/pbte109e_ch8 - Available Online |
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Alaklabi, F., Al-Tahmeesschi, A., Nag, A., & Ahmadi, H. (2024). Digital twins for resilient and reliable 6G networks. In Digital Twins for 6G: Fundamental theory, technology and applications (pp. 1-25). doi:10.1049/pbte109e_ch1 - Available Online |
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| Dr Vivek Nallur | |
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Iqbal, M. Z., Xu, X., Nallur, V., Scanlon, M., & Campbell, A. G. (2023). Security, Ethics and Privacy Issues in the Remote Extended Reality for Education. In Gaming Media and Social Effects (pp. 355-380). Springer Nature Singapore. doi:10.1007/978-981-99-4958-8_16 - Available Online |
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Fhaoláin, L. N., Nallur, V., & Scott, C. (2023). Promoting Social Justice Through the Reflexive Governance of AI. In Les intelligences artificielles au prisme de la justice sociale. Considering Artificial Intelligence Through the Lens of Social Justice (pp. 103-126). Les Presses de l’Université de Laval. doi:10.1515/9782766301850-006 - Available Online |
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Ramanayake, R., & Nallur, V. (2024). Implementing Pro-social Rule Bending in an Elder-Care Robot Environment. In Unknown Book (Vol. 14454 LNAI, pp. 230-239). doi:10.1007/978-981-99-8718-4_20 - Available Online |
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Nallur, V. (2024). Anxiety Among Migrants - Questions for Agent Simulation. In Unknown Book (Vol. 14456 LNAI, pp. 141-150). doi:10.1007/978-3-031-56255-6_8 - Available Online |
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| Assoc Professor Mark Scanlon | |
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Iqbal, M. Z., Xu, X., Nallur, V., Scanlon, M., & Campbell, A. G. (2023). Security, Ethics and Privacy Issues in the Remote Extended Reality for Education. In Gaming Media and Social Effects (pp. 355-380). Springer Nature Singapore. doi:10.1007/978-981-99-4958-8_16 - Available Online |
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| Dr Bartlomiej Siniarski | |
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Sandeepa, C., Senevirathna, T., Siniarski, B., Nguyen, M. D., La, V. H., Wang, S., & Liyanage, M. (2024). From Opacity to Clarity: Leveraging XAI for Robust Network Traffic Classification. In Unknown Book (Vol. 1995, pp. 125-138). doi:10.1007/978-3-031-51135-6_11 - Available Online |
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| Professor Barry Smyth | |
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Feely, C., Caulfield, B., Lawlor, A., & Smyth, B. (2024). A Case-Based Reasoning Approach to Post-injury Training Recommendations for Marathon Runners. In Unknown Book (Vol. 14775 LNAI, pp. 338-353). doi:10.1007/978-3-031-63646-2_22 - Available Online |
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Smyth, B., Feely, C., Berndsen, J., Caulfield, B., & Lawlor, A. (2024). Learning to Run Marathons: On the Applications of Machine Learning to Recreational Marathon Running. In Artificial Intelligence in Sports, Movement, and Health (pp. 209-231). Springer Nature Switzerland. doi:10.1007/978-3-031-67256-9_13 - Available Online |
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| Mr Andrés L. Suárez-Cetrulo | |
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Arazo, E., Stoev, H., Bosch, C., Suárez-Cetrulo, A. L., & Simón-Carbajo, R. (2024). Xpression: A Unifying Metric to Optimize Compression and Explainability Robustness of AI Models. In Unknown Book (Vol. 2153 CCIS, pp. 370-382). doi:10.1007/978-3-031-63787-2_19 - Available Online |
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| Dr Anthony Ventresque | |
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Murphy, A., Mahdinejad, M., Ahmad, S. S., Kenny, J., & Ventresque, A. (2024). Optimising a Peer Based Learning Environment. In Unknown Book (Vol. 14798 LNCS, pp. 386-394). doi:10.1007/978-3-031-63028-6_33 - Available Online |
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| Dr Shen Wang | |
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Sandeepa, C., Senevirathna, T., Siniarski, B., Nguyen, M. D., La, V. H., Wang, S., & Liyanage, M. (2024). From Opacity to Clarity: Leveraging XAI for Robust Network Traffic Classification. In Unknown Book (Vol. 1995, pp. 125-138). doi:10.1007/978-3-031-51135-6_11 - Available Online |
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| Dr Erfan A. Shams | |
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English, P. C., Shams, E. A., Kelleher, J. D., & Carson-Berndsen, J. (2024). FOLLOWING THE EMBEDDING: IDENTIFYING TRANSITION PHENOMENA IN WAV2VEC 2.0 REPRESENTATIONS OF SPEECH AUDIO. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 6685-6689). doi:10.1109/ICASSP48485.2024.10446494 - Available Online |
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| Dr Nima Afraz | |
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Oz, Z., Soygul Oz, C., Malekjafarian, A., Afraz, N., & Golpayegani, F. (2024). subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14352 LNCS (pp. 52-64). doi:10.1007/978-3-031-48803-0_5 - Available Online |
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| Dr Deepak Ajwani | |
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Ajwani, D., Zhang, J., Tayebi, D., & Ray, S. (2024). Learning to Prune Instances of Steiner Tree Problem in Graphs. In https://openproceedings.org/2024/conf/inoc/INOC_31.pdf Vol. International Network Optimization Conference (INOC). Dublin: Open Proceedings. doi:10.48786/INOC.2024.08 - Available Online |
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| Dr Brett Becker | |
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Runa, S. N., McCartan, A., Becker, B. A., & Mooney, C. (2023). Sense of Belonging of Undergraduate Computing Students: A Comparative Analysis of University Entry Routes. In ACM International Conference Proceeding Series. doi:10.1145/3610969.3611139 - Available Online |
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Mahon, J., Mac Namee, B., & Becker, B. A. (2023). No More Pencils No More Books: Capabilities of Generative AI on Irish and UK Computer Science School Leaving Examinations. In ACM International Conference Proceeding Series. doi:10.1145/3610969.3610982 - Available Online |
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Mooney, C., McNeill, F., & Becker, B. A. (2023). Evaluating the Sense of Belonging of Undergraduate Computing Students in the UK and Ireland. In ACM International Conference Proceeding Series. doi:10.1145/3610969.3611145 - Available Online |
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Nolan, K., Faherty, R., Quille, K., Nolan, K., O'Farrell, A., & Becker, B. A. (2023). CS Outreach to Inform Secondary School Students' Perceptions of CS: Initial Findings. In ACM International Conference Proceeding Series. doi:10.1145/3605468.3609758 - Available Online |
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Karvelas, I., Dillane, J., & Becker, B. A. (2023). Programmers' Views on IDE Compilation Mechanisms. In CompEd 2023 - Proceedings of the ACM Conference on Global Computing Education Vol. 1 (pp. 98-104). doi:10.1145/3576882.3617915 - Available Online |
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Campbell, O. O., Adelakun-Adeyemo, O., Akinrinola, F. Y., Chewachong Akih, P., Tshukudu, E., & Becker, B. A. (2023). The Impacts of a Constructionist Scratch Programming Pedagogy on Student Achievement with a Focus on Gender. In CompEd 2023 - Proceedings of the ACM Conference on Global Computing Education Vol. 1 (pp. 29-35). doi:10.1145/3576882.3617911 - Available Online |
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Santos, E. A., Prasad, P., & Becker, B. A. (2023). Always Provide Context: The Effects of Code Context on Programming Error Message Enhancement. In CompEd 2023 - Proceedings of the ACM Conference on Global Computing Education Vol. 1 (pp. 147-153). doi:10.1145/3576882.3617909 - Available Online |
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Bouvier, D. J., Lovellette, E., Santos, E. A., Becker, B. A., Crick, T., Dasigi, V. G., et al. (2023). Teaching Students To Use Programming Error Messages. In CompEd 2023 - Proceedings of the ACM Conference on Global Computing Education Vol. 2 (pp. 207-208). doi:10.1145/3617650.3624950 - Available Online |
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Runa, S. N., McCartan, A., Becker, B. A., & Mooney, C. (2023). Understanding a post-COVID Drop in the Belongingness of Minoritised Men in an Undergraduate Computer Science Course. In CompEd 2023 - Proceedings of the ACM Conference on Global Computing Education Vol. 2 (pp. 202). doi:10.1145/3617650.3624935 - Available Online |
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Raj, R. K., Becker, B. A., Goldweber, M., & Jalote, P. (2023). Perspectives on Computer Science Curricula 2023 (CS2023). In CompEd 2023 - Proceedings of the ACM Conference on Global Computing Education Vol. 2 (pp. 187-188). doi:10.1145/3617650.3624928 - Available Online |
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Prather, J., Denny, P., Leinonen, J., Becker, B. A., Albluwi, I., Craig, M., et al. (2023). The Robots are Here: Navigating the Generative AI Revolution in Computing Education. In ITiCSE-WGR 2023 - Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education (pp. 108-159). doi:10.1145/3623762.3633499 - Available Online |
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Denny, P., Leinonen, J., Prather, J., Luxton-Reilly, A., Amarouche, T., Becker, B. A., & Reeves, B. N. (2024). Prompt Problems: A New Programming Exercise for the Generative AI Era. In SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education Vol. 1 (pp. 296-302). doi:10.1145/3626252.3630909 - Available Online |
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Mason, R., Simon., Becker, B. A., Crick, T., & Davenport, J. H. (2024). A Global Survey of Introductory Programming Courses. In SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education Vol. 1 (pp. 799-805). doi:10.1145/3626252.3630761 - Available Online |
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Poulsen, S., Sarsa, S., Prather, J., Leinonen, J., Becker, B. A., Hellas, A., et al. (2024). Solving Proof Block Problems Using Large Language Models. In SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education Vol. 1 (pp. 1063-1069). doi:10.1145/3626252.3630928 - Available Online |
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Mahon, J., Namee, B. M., & Becker, B. A. (2024). Guidelines for the Evolving Role of Generative AI in Introductory Programming Based on Emerging Practice. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. 1 (pp. 10-16). doi:10.1145/3649217.3653602 - Available Online |
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Margulieux, L. E., Prather, J., Reeves, B. N., Becker, B. A., Cetin Uzun, G., Loksa, D., et al. (2024). Self-Regulation, Self-Efficacy, and Fear of Failure Interactions with How Novices Use LLMs to Solve Programming Problems. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. 1 (pp. 276-282). doi:10.1145/3649217.3653621 - Available Online |
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Denny, P., Smith, D. H., Fowler, M., Prather, J., Becker, B. A., & Leinonen, J. (2024). Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. 1 (pp. 283-289). doi:10.1145/3649217.3653587 - Available Online |
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Aly, S. G., Kumar, A. N., Becker, B. A., & Raj, R. K. (2024). Computer Science Curricula 2023 (CS2023): Rising to the Challenges of Change in AI, Security, and Society. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. 2 (pp. 852-853). doi:10.1145/3649405.3659537 - Available Online |
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Becker, B. A. (2024). Integrating Society, Ethics and the Computing Profession With Computer Science Curricula 2023. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. 2 (pp. 813). doi:10.1145/3649405.3659505 - Available Online |
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Hamouda, S., Tshukudu, E., Dodoo, E. R., Ola, O., Marshall, L., Adelakun-Adeyemo, O., et al. (2024). Working Group Proposal: Computing Education in Africa. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. 2 (pp. 755-756). doi:10.1145/3649405.3659526 - Available Online |
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Nolan, K., O’Farrell, A., Quille, K., Nolan, K., Faherty, R., Jaiswal, R., et al. (2024). Enabling Digital Technology in Primary Schools. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. 2 (pp. 823). doi:10.1145/3649405.3659515 - Available Online |
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Quille, K., Gordon, D., Hofmann, M., Becker, B. A., Harte, M., Nolan, K., et al. (2024). LLMs in Open and Closed Book Examinations in a Final Year Applied Machine Learning Course (Early Findings).. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. 2 (pp. 822). doi:10.1145/3649405.3659514 - Available Online |
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Prather, J., Reeves, B. N., Leinonen, J., Macneil, S., Randrianasolo, A. S., Becker, B. A., et al. (2024). The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers. In ICER 2024 - ACM Conference on International Computing Education Research Vol. 1 (pp. 469-486). doi:10.1145/3632620.3671116 - Available Online |
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| Professor Julie Carson-Berndsen | |
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English, P. C., Shams, E. A., Kelleher, J. D., & Carson-Berndsen, J. (2024). FOLLOWING THE EMBEDDING: IDENTIFYING TRANSITION PHENOMENA IN WAV2VEC 2.0 REPRESENTATIONS OF SPEECH AUDIO. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 6685-6689). doi:10.1109/ICASSP48485.2024.10446494 - Available Online |
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Mai, L., & Carson-Berndsen, J. (2024). ENHANCING CONVERSATION SMOOTHNESS IN LANGUAGE LEARNING CHATBOTS: AN EVALUATION OF GPT4 FOR ASR ERROR CORRECTION. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 11001-11005). doi:10.1109/ICASSP48485.2024.10447641 - Available Online |
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| Professor Michela Bertolotto | |
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Agarwal, N., Vo, A. V., Bertolotto, M., Barnett, A., Khalid, A., & Globin, M. (2024). Effects of Model Drift on Ship Detection Models. In Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications Vol. 2 (pp. 750-754). doi:10.5220/0012443600003660 - Available Online |
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| Dr Oisin Boydell | |
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Grappiolo, C., Gurusiddappa, V., Regan, S., Boydell, O., & Holohan, E. (2024). A Satellite-derived Peatland Ecotype Classification Method Using Artificial Neural Network Hierarchical Ensembles. doi:10.5194/egusphere-egu24-19643 - Available Online |
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| Dr Rob Brennan | |
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Karimian, S., Corrigan, S., & Brennan, R. (2023). Integrating Human Factors into Trustworthy AI for Healthcare. In ACM International Conference Proceeding Series (pp. 45). doi:10.1145/3633083.3633093 - Available Online |
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| Mr Sebastian Cajas Ordonez | |
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Xie, K., Huang, S., Ordonez, S. C., Pfister, H., & Wei, D. (2024). S<sup>3</sup>-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation. In 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 1-5). IEEE. doi:10.1109/isbi56570.2024.10635833 - Available Online |
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| Dr Abey Campbell | |
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Gelana, F., & Campbell, A. (2024). The Possibilities of AI and Augmented Reality in Education. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics. doi:10.1109/ICCE59016.2024.10444487 - Available Online |
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Xu, X., Puggioni, A., Kilroy, D., & Campbell, A. (2024). Enhancing Radiography Education through Co-located Mixed Reality with Tracker-based X-ray Imaging Simulation. In Proceedings - SIGGRAPH 2024 Posters. doi:10.1145/3641234.3671064 - Available Online |
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| Dr Dimitris Chatzopoulos | |
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Tirana, J., Tsigkari, D., Iosifidis, G., & Chatzopoulos, D. (2024). Workflow Optimization for Parallel Split Learning. In Proceedings - IEEE INFOCOM (pp. 1331-1340). doi:10.1109/INFOCOM52122.2024.10621348 - Available Online |
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| Assoc Professor David Coyle | |
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Cooney, O., Doherty, K., Barry, M., Coyle, D., Doherty, G., & Cowan, B. R. (2024). Using Speech Agents for Mood Logging within Blended Mental Healthcare: Mental Healthcare Practitioners' Perspectives. In Proceedings of the 6th Conference on ACM Conversational User Interfaces, CUI 2024. doi:10.1145/3640794.3665540 - Available Online |
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| Professor Pádraig Cunningham | |
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Dissanayake, O., McPherson, S. E., Allyndrée, J., Kennedy, E., Cunningham, P., & Riaboff, L. (2024). Development of a digital tool for monitoring the behaviour of pre-weaned calves using accelerometer neck-collars. In 11th European Conference on Precision Livestock Farming (pp. 632-639). |
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| Dr Alireza Dehghani | |
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Ten Dam, W., Grol, M., Zeegers, Z., Dehghani, A., & Aldewereld, H. (2023). Representative Data Generation of Diabetic Retinopathy Synthetic Retinal Images. In ACM International Conference Proceeding Series (pp. 9-15). doi:10.1145/3633083.3633175 - Available Online |
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Todorova, C., Sharkov, G., Aldewereld, H., Leijnen, S., Dehghani, A., Marrone, S., et al. (2023). The European AI Tango: Balancing Regulation Innovation and Competitiveness. In ACM International Conference Proceeding Series (pp. 2-8). doi:10.1145/3633083.3633161 - Available Online |
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| Dr Soumyabrata Dev | |
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Li, Y., Wang, H., Wang, S., Lee, Y. H., Salman Pathan, M., & Dev, S. (2024). UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 5553-5557). doi:10.1109/IGARSS53475.2024.10640450 - Available Online |
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Dey, P., Dhang, S., Dev, S., & Schoen-Phelan, B. (2024). NES-VIT-NET: A Nested Vision Transformer-Based Network for Near-Surface NO<inf>2</inf> Estimation from Satellite and Ground Observations. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 7300-7303). doi:10.1109/IGARSS53475.2024.10640856 - Available Online |
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Dhang, S., Dey, P., Zhang, M., & Dev, S. (2024). Use-Net: Satellite Data-Based Framework for Optimizing Billboard Placement in Urban Areas. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 4860-4863). doi:10.1109/IGARSS53475.2024.10641669 - Available Online |
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Das, R., Dhang, S., & Dev, S. (2024). Integrated Approach for Simultaneous Estimation of Emotional States and Valence-Arousal Levels in Facial Images. In 26th Irish Machine Vision and Image Processing Conference. |
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Nijhum, I. R., Hossain, M. Y., Rakib, M. M. H., & Dev, S. (2024). On Improving Solar Forecasts with Enhanced IR Imaging and CNNs. In 26th Irish Machine Vision and Image Processing Conference. |
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Hossain, M. Y., Nijhum, I. R., Rakib, M. M. H., & Dev, S. (2024). Can Deep Learning Outperform Traditional Methods in Upscaling IR Images for Solar Irradiance Estimation?. In 26th Irish Machine Vision and Image Processing Conference. |
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Dhang, S., Zhang, M., & Dev, S. (2024). Frame-level Advert Localisation. In 26th Irish Machine Vision and Image Processing Conference. |
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Dhang, S., Idogho, A., Zhang, M., & Dev, S. (2024). Towards Accurate Billboard Detection: An Ablation and Benchmarking Study of Deep Learning Models. In 26th Irish Machine Vision and Image Processing Conference. |
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Nijhum, I. R., Kaloni, D., Kenny, P., & Dev, S. (2024). Enhancing Intra-Hour Solar Irradiance Estimation through Knowledge Distillation and Infrared Sky Images. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 7207-7211). IEEE. doi:10.1109/igarss53475.2024.10642288 - Available Online |
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Wu, J., Orlandi, F., O'Sullivan, D., & Dev, S. (2024). Leveraging Knowledge Graphs For Enhancing Climate-resilient Agricultural Analysis. In 9th IEEE International Conference on Computational Intelligence and Applications. |
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Kumari, S., Wu, J., Ayala-Cabrera, D., & Dev, S. (2024). Effective Water Body Extraction from Hyperspectral Data: A Focus on Unsupervised Band Indices. In 9th IEEE International Conference on Computational Intelligence and Applications. |
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| Dr Sahraoui Dhelim | |
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Li, Y., Zainab, S. S. E., Dhelim, S., & Kechadi, M. T. (2024). Weather Data and Agro-climate Indices - Comparative Study. In ACM International Conference Proceeding Series (pp. 1-7). doi:10.1145/3651671.3651729 - Available Online |
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Li, Y., Dhelim, S., & Kechadi, M. T. (2024). Predicting Winter Wheat Emergence and Stem Elongation Time using CNN. In ACM International Conference Proceeding Series (pp. 153-160). doi:10.1145/3651671.3651728 - Available Online |
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| Dr Ruihai Dong | |
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Yang, B., Liu, D., Suzumura, T., Dong, R., & Li, I. (2023). Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 (pp. 24-34). doi:10.1145/3604915.3608801 - Available Online |
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Mukande, T., Ali, E., Caputo, A., Dong, R., & O'Connor, N. E. (2023). A Flash Attention Transformer for Multi-Behaviour Recommendation. In International Conference on Information and Knowledge Management, Proceedings (pp. 4210-4214). doi:10.1145/3583780.3615206 - Available Online |
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Ruan, Q., Mac Namee, B., & Dong, R. (2023). Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence. In Unknown Conference (pp. 210-215). Springer Nature Switzerland. doi:10.1007/978-3-031-47994-6_17 - Available Online |
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Ma, S., Wu, H., Lawlor, A., & Dong, R. (2024). BREAKING THE BARRIER: SELECTIVE UNCERTAINTY-BASED ACTIVE LEARNING FOR MEDICAL IMAGE SEGMENTATION. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 1531-1535). doi:10.1109/ICASSP48485.2024.10446026 - Available Online |
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Du, H., Ju, Z., An, Y., Du, H., Zhu, D., Tian, Z., et al. (2024). Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases. In Communications in Computer and Information Science Vol. 1969 CCIS (pp. 125-139). doi:10.1007/978-981-99-8184-7_10 - Available Online |
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Ruan, Q., Xu, J., Leavy, S., Mac Namee, B., & Dong, R. (2024). Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting. In UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (pp. 67-77). doi:10.1145/3627043.3659541 - Available Online |
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| Dr Diego Garaialde | |
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Mildner, T., Cooney, O., Meck, A. M., Bartl, M., Savino, G. L., Doyle, P. R., et al. (2024). Listening to the Voices: Describing Ethical Caveats of Conversational User Interfaces According to Experts and Frequent Users. In Conference on Human Factors in Computing Systems - Proceedings. doi:10.1145/3613904.3642542 - Available Online |
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| Dr Iona Gessinger | |
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Jaber, R., Zhong, S., Kuoppamäki, S., Hosseini, A., Gessinger, I., Brumby, D. P., et al. (2024). Cooking With Agents: Designing Context-aware Voice Interaction for Complex Tasks. In Conference on Human Factors in Computing Systems - Proceedings. doi:10.1145/3613904.3642183 - Available Online |
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Seaborn, K., Gessinger, I., Yoshida, S., Cowan, B. R., & Doyle, P. R. (2024). Cross-Cultural Validation of Partner Models for Voice User Interfaces. In Proceedings of the 6th Conference on ACM Conversational User Interfaces, CUI 2024. doi:10.1145/3640794.3665537 - Available Online |
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| Dr Daniel Gibert | |
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Gibert, D., Zizzo, G., & Le, Q. (2023). Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. In AISec 2023 - Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security (pp. 173-184). doi:10.1145/3605764.3623914 - Available Online |
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| Dr Fatemeh Golpayegani | |
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Safavifar, Z., Mechalikh, C., & Golpayegani, F. (2024). Fault Tolerant Robust Adaptive Workload Orchestration in Pure Edge Computing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14546 LNAI (pp. 370-386). doi:10.1007/978-3-031-55326-4_18 - Available Online |
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Oz, Z., Soygul Oz, C., Malekjafarian, A., Afraz, N., & Golpayegani, F. (2024). subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14352 LNCS (pp. 52-64). doi:10.1007/978-3-031-48803-0_5 - Available Online |
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| Dr Corrado Grappiolo | |
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Grappiolo, C., Gurusiddappa, V., Regan, S., Boydell, O., & Holohan, E. (2024). A Satellite-derived Peatland Ecotype Classification Method Using Artificial Neural Network Hierarchical Ensembles. doi:10.5194/egusphere-egu24-19643 - Available Online |
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| Assoc Professor Derek Greene | |
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Sawant, S., Thakare, S., Greene, D., Meaney, G., & Smeaton, A. F. (2023). Handwriting Analysis on the Diaries of Rosamond Jacob. In ACM International Conference Proceeding Series (pp. 217-223). doi:10.1145/3617233.3617255 - Available Online |
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Guan, S., & Greene, D. (2024). Advancing Post-OCR Correction: A Comparative Study of Synthetic Data. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 6036-6047). |
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| Dr Andrew Hines | |
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Sun, P., Santos, F. H., & Hines, A. (2024). Browser-Based Game Design for Cognitive Effort Aware Quality of Experience Evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14475 LNCS (pp. 457-463). doi:10.1007/978-3-031-49065-1_49 - Available Online |
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Faolain, C. O., & Hines, A. (2024). Speech Feature Fidelity from a Generative Auditory Transduction Model. In Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024. doi:10.1109/ISSC61953.2024.10603120 - Available Online |
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Bayona, M. G. A., Hines, A., & Dhonnchadha, E. U. (2024). Listenability Assessment for Language Learning Through the Quality of Experience Lens. In 2024 16th International Conference on Quality of Multimedia Experience, QoMEX 2024 (pp. 254-257). doi:10.1109/QoMEX61742.2024.10598296 - Available Online |
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| Assoc Professor Neil Hurley | |
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Singha Roy, A., D'Amico, E., Tragos, E., Lawlor, A., & Hurley, N. (2023). Scalable Deep Q-Learning for Session-Based Slate Recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 (pp. 877-882). doi:10.1145/3604915.3608843 - Available Online |
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O’Reilly Morgan, D., Tragos, E., Geraci, J., Wang, Q., Hurley, N., Smyth, B., & Lawlor, A. (2024). A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. In EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems (pp. 161-168). doi:10.1145/3642970.3655841 - Available Online |
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Hurley, N., Duriakova, E., Geraci, J., O’Reilly-Morgan, D., Tragos, E., Smyth, B., & Lawlor, A. (2024). ALS Algorithm for Robust and Communication-Efficient Federated Learning. In EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems (pp. 56-64). doi:10.1145/3642970.3655842 - Available Online |
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| Assoc Professor Georgiana Ifrim | |
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Ifrim, G. (2023). Going The Distance: Reflections on Using Robot Racing Cars for Teaching Machine Learning. In Proceedings of the 2023 Conference on Human Centered Artificial Intelligence: Education and Practice (pp. 1). ACM. doi:10.1145/3633083.3633478 - Available Online |
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| Dr Anca Delia Jurcut | |
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Shafique, R., Rustam, F., Choi, G. S., & Jurcut, A. D. (2024). Enhancing In-Vehicle Network Security Against AI-Generated Cyberattacks Using Machine Learning. In IEEE Wireless Communications and Networking Conference, WCNC. doi:10.1109/WCNC57260.2024.10571300 - Available Online |
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Rustam, F., Ranaweera, P., & Jurcut, A. D. (2024). AI on the Defensive and Offensive: Securing Multi-Environment Networks from AI Agents. In IEEE International Conference on Communications (pp. 4287-4292). doi:10.1109/ICC51166.2024.10622943 - Available Online |
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Shafique, R., Rustam, F., Choi, G. S., Posa, S. K., & Jurcut, A. D. (2024). In-Vehicle Networks Security Using Transfer Learning Approach Against AI-Generated Cyberattacks. In Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024. doi:10.1109/ISSC61953.2024.10603221 - Available Online |
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| Professor Mark Keane | |
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Aryal, S., & Keane, M. T. (2024). Testing Most Distant Neighbor (MDN) Variants for Semi-Factual Explanations in XAI. In CEUR Workshop Proceedings Vol. 3708 (pp. 40-48). |
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| Professor Mohand Tahar Kechadi | |
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Xu, C., & Kechadi, M. T. (2023). Fuzzy Deep Hybrid Network for Fake News Detection. In ACM International Conference Proceeding Series (pp. 118-125). doi:10.1145/3628797.3628971 - Available Online |
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Phan, D. T. B., Le, P. V. L., Luong, N. H., Kechadi, T., & Ngo, H. Q. (2023). Domain Adaptation in Nested Named Entity Recognition From Scientific Articles in Agriculture. In ACM International Conference Proceeding Series (pp. 48-55). doi:10.1145/3628797.3628958 - Available Online |
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Li, Y., Zainab, S. S. E., Dhelim, S., & Kechadi, M. T. (2024). Weather Data and Agro-climate Indices - Comparative Study. In ACM International Conference Proceeding Series (pp. 1-7). doi:10.1145/3651671.3651729 - Available Online |
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Li, Y., Dhelim, S., & Kechadi, M. T. (2024). Predicting Winter Wheat Emergence and Stem Elongation Time using CNN. In ACM International Conference Proceeding Series (pp. 153-160). doi:10.1145/3651671.3651728 - Available Online |
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Bimonte, S., Bellocchi, G., Pinet, F., Charrier, G., Sacharidis, D., Sakr, M., et al. (2024). Technological and Research Challenges in Data Engineering for Sustainable Agriculture. In Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, BIDEDE 2024, in conjunction with the 2024 ACM SIGMOD/PODS Conference. doi:10.1145/3663741.3664786 - Available Online |
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| Dr Aonghus Lawlor | |
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Singha Roy, A., D'Amico, E., Tragos, E., Lawlor, A., & Hurley, N. (2023). Scalable Deep Q-Learning for Session-Based Slate Recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 (pp. 877-882). doi:10.1145/3604915.3608843 - Available Online |
|
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Du, H., Ju, Z., An, Y., Du, H., Zhu, D., Tian, Z., et al. (2024). Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases. In Communications in Computer and Information Science Vol. 1969 CCIS (pp. 125-139). doi:10.1007/978-981-99-8184-7_10 - Available Online |
|
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Ma, S., Wu, H., Lawlor, A., & Dong, R. (2024). BREAKING THE BARRIER: SELECTIVE UNCERTAINTY-BASED ACTIVE LEARNING FOR MEDICAL IMAGE SEGMENTATION. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 1531-1535). doi:10.1109/ICASSP48485.2024.10446026 - Available Online |
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Atputharuban, D. A., Theopold, C., & Lawlor, A. (2024). Enhancing Surgical Visualization: Feasibility Study on GAN-Based Image Generation for Post Operative Cleft Palate Images. In International Conference on Pattern Recognition Applications and Methods Vol. 1 (pp. 939-945). doi:10.5220/0012576900003654 - Available Online |
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Hurley, N., Duriakova, E., Geraci, J., O’Reilly-Morgan, D., Tragos, E., Smyth, B., & Lawlor, A. (2024). ALS Algorithm for Robust and Communication-Efficient Federated Learning. In EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems (pp. 56-64). doi:10.1145/3642970.3655842 - Available Online |
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|
O’Reilly Morgan, D., Tragos, E., Geraci, J., Wang, Q., Hurley, N., Smyth, B., & Lawlor, A. (2024). A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. In EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems (pp. 161-168). doi:10.1145/3642970.3655841 - Available Online |
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| Dr Quan Le | |
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Gibert, D., Zizzo, G., & Le, Q. (2023). Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. In AISec 2023 - Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security (pp. 173-184). doi:10.1145/3605764.3623914 - Available Online |
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| Assoc Professor Nhien An Le Khac | |
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Nicholls, J., Kuppa, A., & Le-Khac, N. A. (2023). FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification. In ACM International Conference Proceeding Series (pp. 324-336). doi:10.1145/3627106.3627200 - Available Online |
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Nguyen-Le, H. H., Tran, V. T., Nguyen, D. T., & Le-Khac, N. A. (2024). D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack. In Proceedings of the International Joint Conference on Neural Networks. doi:10.1109/IJCNN60899.2024.10650401 - Available Online |
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Kuppa, A., Nicholls, J., & Le-Khac, N. A. (2024). Manipulating Prompts and Retrieval-Augmented Generation for LLM Service Providers. In Proceedings of the International Conference on Security and Cryptography (pp. 777-785). doi:10.5220/0012803100003767 - Available Online |
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Nguyen, D. A., & Le-Khac, N. A. (2024). SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning. In Proceedings of the International Joint Conference on Neural Networks. doi:10.1109/IJCNN60899.2024.10650322 - Available Online |
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| Dr David Lillis | |
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Lu, Z., Delaney, D., Li, T., & Lillis, D. (2024). Towards Building a Reputation-Based Microservices Trust Model Using Similarity Domains. In Proceedings of the 19th International Conference on Software Technologies (pp. 169-176). SCITEPRESS - Science and Technology Publications. doi:10.5220/0012838000003753 - Available Online |
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Lu, Z., Delaney, D. T., & Lillis, D. (2024). Comparing the Similarity of OpenAPI-Based Microservices. In Proceedings of the ACM Symposium on Applied Computing (pp. 1201-1208). doi:10.1145/3605098.3635963 - Available Online |
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Assoc Professor Madhusanka Liyanage
Perera, L., Ranaweera, P., Kusaladharma, S., Wang, S., & Liyanage, M. (2024). Unlocking Spectrum Potential: A Blockchain-Powered Paradigm for Dynamic Spectrum Management. In 2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 (pp. 1181-1186). doi:10.1109/EuCNC/6GSummit60053.2024.10597118
Wang, S., Sandeepa, C., Senevirathna, T., Siniarski, B., Nguyen, M. D., Marchal, S., & Liyanage, M. (2024). Towards Accountable and Resilient AI-Assisted Networks: Case Studies and Future Challenges. In 2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 (pp. 818-823). doi:10.1109/EuCNC/6GSummit60053.2024.10597060
Madawalage, N., Thalgahagoda, T., Gunatilake, I., Fernando, P., Wijesiri, G., Seneviratne, C., & Liyanage, M. (2024). Blockchain-Enabled RF Radiation Exposure Level Measurement in Wireless Mobile Networks. In Proceedings - IEEE Consumer Communications and Networking Conference, CCNC (pp. 392-395). doi:10.1109/CCNC51664.2024.10454816
Liyanage, M., Porambage, P., Zeydan, E., Senavirathne, T., Siriwardhana, Y., Yadav, A. K., & Siniarski, B. (2024). Advancing Security for 6G Smart Networks and Services. In 2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 (pp. 1169-1174). doi:10.1109/EuCNC/6GSummit60053.2024.10597131
Kehelwala, J., Siriwardhana, Y., Hewa, T., Liyanage, M., & Ylianttila, M. (2024). Decentralized Learning for 6G Security: Open Issues and Future Directions. In 2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 (pp. 1175-1180). doi:10.1109/EuCNC/6GSummit60053.2024.10597004
Sandeepa, C., Senevirathna, T., Siniarski, B., Wang, S., & Liyanage, M. (2024). Navigating Explainable Privacy in Federated Learning. In 2024 IFIP Networking Conference, IFIP Networking 2024 (pp. 763-768). doi:10.23919/IFIPNetworking62109.2024.10619875
Ottun, A. R., Marasinghe, R., Elemosho, T., Liyanage, M., Ragab, M., Bagave, P., et al. (2024). The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications. In Proceedings - International Conference on Distributed Computing Systems (pp. 947-959). doi:10.1109/ICDCS60910.2024.00092
Kusaladharma, S., Adve, R. S., & Liyanage, M. (2024). A Q-Learning Based Transmission Management Strategy for Energy Harvesting Sensors. In IEEE International Conference on Communications (pp. 4761-4766). doi:10.1109/ICC51166.2024.10622672
Yapa, C., De Alwis, C., Wijewardhana, U., & Liyanage, M. (2024). A Dedicated Consensus Algorithm for Improving Performance of Futuristic Energy Blockchain. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics. doi:10.1109/ICCE59016.2024.10444184
Ratnayake, R., Liyanage, M., & Murphy, L. (2024). Machine Learning for Data Trust Evaluations in Blockchain-Enabled IoT Systems. In 2024 IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2024 (pp. 1-2). doi:10.1109/ICBC59979.2024.10634433
Thennakoon, R., Wanigasundara, A., Weerasinghe, S., Seneviratne, C., Siriwardhana, Y., & Liyanage, M. (2024). Decentralized Defense: Leveraging Blockchain against Poisoning Attacks in Federated Learning Systems. In Proceedings - IEEE Consumer Communications and Networking Conference, CCNC (pp. 950-955). doi:10.1109/CCNC51664.2024.10454688
Senevirathna, T., Siniarski, B., Liyanage, M., & Wang, S. (2024). Deceiving Post-Hoc Explainable AI (XAI) Methods in Network Intrusion Detection. In Proceedings - IEEE Consumer Communications and Networking Conference, CCNC (pp. 107-112). doi:10.1109/CCNC51664.2024.10454633
McEnroe, P., Wang, S., & Liyanage, M. (2024). Towards Faster DRL Training: An Edge AI Approach for UAV Obstacle Avoidance by Splitting Complex Environments. In Proceedings - IEEE Consumer Communications and Networking Conference, CCNC (pp. 396-399). doi:10.1109/CCNC51664.2024.10454660
Sandeepa, C., Siniarski, B., Wang, S., & Liyanage, M. (2024). SHERPA: Explainable Robust Algorithms for Privacy-Preserved Federated Learning in Future Networks to Defend Against Data Poisoning Attacks. In Proceedings - IEEE Symposium on Security and Privacy (pp. 4772-4790). doi:10.1109/SP54263.2024.00271
Siriwardhana, Y., Porambage, P., Liyanage, M., Marchal, S., & Ylianttila, M. (2024). Robust Aggregation Technique Against Poisoning Attacks in Multi-Stage Federated Learning Applications. In Proceedings - IEEE Consumer Communications and Networking Conference, CCNC (pp. 956-962). doi:10.1109/CCNC51664.2024.10454789
- Available Online
Assoc Professor Brian Mac Namee
Mahon, J., Mac Namee, B., & Becker, B. A. (2023). No More Pencils No More Books: Capabilities of Generative AI on Irish and UK Computer Science School Leaving Examinations. In ACM International Conference Proceeding Series. doi:10.1145/3610969.3610982
Ruan, Q., Mac Namee, B., & Dong, R. (2023). Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence. In Unknown Conference (pp. 210-215). Springer Nature Switzerland. doi:10.1007/978-3-031-47994-6_17
Ruan, Q., Xu, J., Leavy, S., Mac Namee, B., & Dong, R. (2024). Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting. In UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (pp. 67-77). doi:10.1145/3627043.3659541
Mahon, J., Namee, B. M., & Becker, B. A. (2024). Guidelines for the Evolving Role of Generative AI in Introductory Programming Based on Emerging Practice. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. 1 (pp. 10-16). doi:10.1145/3649217.3653602
- Available Online
Professor Eleni Mangina
Mulay, H., Mangina, E., & Redfern, S. (2023). Automated Lip Reading: Potential to enhance accessibility in XR. In ACM International Conference Proceeding Series (pp. 42). doi:10.1145/3633083.3633191
Dillon, G., Dunlop, K., McEvoy, A., Kane, D., Higgins, S., Mangina, E., & McAuliffe, F. M. (2024). The virtual reality classroom: a randomized control trial of medical student knowledge of postpartum hemorrhage emergency management.. In BMFMS 2024. Frontiers in Medicine (Lausanne). doi:10.3389/fmed.2024.1371075
Kanta, A., Psyrra, G., Sobhani, N., Bafes, K., Gollini, I., & Mangina, E. (2024). Empowering and Inspiring Higher Education Students in the STEM/ STEAM Fields: A Review for UK and Ireland. In IEEE Global Engineering Education Conference, EDUCON. doi:10.1109/EDUCON60312.2024.10578727
- Available Online
Dr Mark Matthews
Brozena, J., Blair, J., Richardson, T., Matthews, M., Mukherjee, D., Saunders, E. F. H., & Abdullah, S. (2024). Supportive Fintech for Individuals with Bipolar Disorder: Financial Data Sharing Preferences for Longitudinal Care Management. In Conference on Human Factors in Computing Systems - Proceedings. doi:10.1145/3613904.3642645
- Available Online
Assoc Professor Gavin McArdle
Gupta, P., Rabiei-Dastjerdi, H., & McArdle, G. (2024). Mapping Activity-Based Segregation of Names in Dublin Using Google Point of Interest Data †. In Engineering Proceedings Vol. 63. doi:10.3390/engproc2024063018
- Available Online
Dr Andrew McCartan
Runa, S. N., McCartan, A., Becker, B. A., & Mooney, C. (2023). Sense of Belonging of Undergraduate Computing Students: A Comparative Analysis of University Entry Routes. In ACM International Conference Proceeding Series. doi:10.1145/3610969.3611139
Runa, S. N., McCartan, A., Becker, B. A., & Mooney, C. (2023). Understanding a post-COVID Drop in the Belongingness of Minoritised Men in an Undergraduate Computer Science Course. In CompEd 2023 - Proceedings of the ACM Conference on Global Computing Education Vol. 2 (pp. 202). doi:10.1145/3617650.3624935
- Available Online
Professor Catherine Mooney
Mooney, C., McNeill, F., & Becker, B. A. (2023). Evaluating the Sense of Belonging of Undergraduate Computing Students in the UK and Ireland. In ACM International Conference Proceeding Series. doi:10.1145/3610969.3611145
Runa, S. N., McCartan, A., Becker, B. A., & Mooney, C. (2023). Sense of Belonging of Undergraduate Computing Students: A Comparative Analysis of University Entry Routes. In ACM International Conference Proceeding Series. doi:10.1145/3610969.3611139
Wei, L., McHugh, J. C., & Mooney, C. (2023). Interictal Epileptiform Discharge Classification for the Prediction of Epilepsy Type in Children. In ACM International Conference Proceeding Series (pp. 180-184). doi:10.1145/3637732.3637737
Edoho, M., Mamad, O., Henshall, D. C., Mooney, C., & Wei, L. (2023). Prediction of Epilepsy Phenotype in Intra-amygdala Kainic Acid Mouse Model of Epilepsy. In ACM International Conference Proceeding Series (pp. 196-200). doi:10.1145/3637732.3637740
Runa, S. N., McCartan, A., Becker, B. A., & Mooney, C. (2023). Understanding a post-COVID Drop in the Belongingness of Minoritised Men in an Undergraduate Computer Science Course. In CompEd 2023 - Proceedings of the ACM Conference on Global Computing Education Vol. 2 (pp. 202). doi:10.1145/3617650.3624935
Wei, L., & Mooney, C. (2024). An EEG-based Automatic Classification Model for Epilepsy with Explainable Artificial Intelligence. In 2024 14th International Conference on Biomedical Engineering and Technology (pp. 44-50). ACM. doi:10.1145/3678935.3678943
- Available Online
Dr Aidan Murphy
Reyes Fernández De Bulnes, D., De Lima, A., Murphy, A., Mota Dias, D., & Ryan, C. (2024). Feature Encapsulation by Stages Using Grammatical Evolution. In GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion (pp. 531-534). doi:10.1145/3638530.3654097
Bin Murtaza, S., Mccoy, A., Ren, Z., Murphy, A., & Banzhaf, W. (2024). LLM Fault Localisation within Evolutionary Computation Based Automated Program Repair. In GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion (pp. 1824-1829). doi:10.1145/3638530.3664174
- Available Online
Professor Liam Murphy
Ratnayake, R., Liyanage, M., & Murphy, L. (2024). Machine Learning for Data Trust Evaluations in Blockchain-Enabled IoT Systems. In 2024 IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2024 (pp. 1-2). doi:10.1109/ICBC59979.2024.10634433
- Available Online
Dr Camille Nadal
Jardine, J., Nadal, C., Barry, M., Snow, D., Mcdermott, F., & Robinson, S. (2024). Design for the Long Now: Temporal Tools for Navigating Ethics in HCI. In DIS 2024 - Proceedings of the 2024 ACM Designing Interactive Systems Conference (pp. 433-437). doi:10.1145/3656156.3658392
- Available Online
Dr Avishek Nag
Liu, Y., Yu, X., Zhao, Y., & Nag, A. (2024). Power-scheduled Routing Strategy for Quantum Key Distribution over Classical Optical Networks. In 2024 International Conference on Computing, Networking and Communications (ICNC) (pp. 382-386). IEEE. doi:10.1109/icnc59896.2024.10556172
Liu, Y., Yu, X., Zhao, Y., Zhu, Q., Nag, A., & Zhang, J. (2024). From Unilateral Adaptive to Bilateral Synergistic Routing and Wavelength Assignment: Enabling End-to-End Quantum Key Distribution over Classical Optical Networks. In ICC 2024 - IEEE International Conference on Communications (pp. 497-502). IEEE. doi:10.1109/icc51166.2024.10622746
- Available Online
Dr Vivek Nallur
Kodate, N., & Nallur, V. (2024). Workshop 3: Can Robots Care and Be Trusted?. In N. Kodate (Ed.), Robophilosophy Conference 2024.
Assoc Professor Mel Ó Cinnéide
Bree, D. C., & Cinnéide, M. (2024). Weighted Metrics for the Development of Energy Efficient Software. In Proceedings - 2024 IEEE/ACM International Workshop on Designing Software, Designing 2024 (pp. 64-69). doi:10.1145/3643660.3643946
- Available Online
Professor Gregory O'Hare
Wu, M., Wang, X., Lu, T., & O'Hare, G. M. P. (2024). A Blended Learning Strategy for English-Based Programming Courses in China's Higher Education. In 2024 13th International Conference on Educational and Information Technology, ICEIT 2024 (pp. 160-164). doi:10.1109/ICEIT61397.2024.10540986
- Available Online
Dr Rajnish Rakholia
Goktas, P., Rakholia, R., & Carbajo, R. S. (2024). Answering Key Questions About Air Pollution Dynamics in Ho Chi Minh City: A Spatiotemporal Analysis Using the XAI-SHAP Clustering Approach. In IFIP Advances in Information and Communication Technology Vol. 693 (pp. 189-203). doi:10.1007/978-3-031-61069-1_14
Goktas, P., Rakholia, R., & Carbajo, R. S. (2024). Investigating Air Pollution Dynamics in Ho Chi Minh City: A Spatiotemporal Study Leveraging XAI-SHAP Clustering Methodology. In Communications in Computer and Information Science Vol. 1948 CCIS (pp. 201-207). doi:10.1007/978-3-031-50485-3_20
Rajyagor, B., & Rakholia, R. (2024). Handwritten Digit Recognition for Native Gujarati Language Using Convolutional Neural Network. In Lecture Notes in Networks and Systems Vol. 731 LNNS (pp. 393-405). doi:10.1007/978-981-99-4071-4_31
- Available Online
Dr Seán Russell
Alaofi, S., & Russell, S. (2023). The Use of English Language to Teach CS1 to Non-Native English Speakers: Students Perspective. In CompEd 2023 - Proceedings of the ACM Conference on Global Computing Education Vol. 1 (pp. 15-21). doi:10.1145/3576882.3617931
Bouvier, D. J., Lovellette, E., Santos, E. A., Becker, B. A., Crick, T., Dasigi, V. G., et al. (2023). Teaching Students To Use Programming Error Messages. In CompEd 2023 - Proceedings of the ACM Conference on Global Computing Education Vol. 2 (pp. 207-208). doi:10.1145/3617650.3624950
Alaofi, S., & Russell, S. (2024). Improving Knowledge of CS1 Terminology Through a Peer Reviewed Translation Activity: Results and Feedback. In SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education Vol. 1 (pp. 46-52). doi:10.1145/3626252.3630876
Izu, C., Connamacher, H., Haldeman, G., Liu, D., Carneiro de Oliveira, E., Mirolo, C., et al. (2024). Introducing Code Quality in the CS1 Classroom. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. 2 (pp. 773-774). doi:10.1145/3649405.3659535
- Available Online
Dr Takfarinas Saber
Zhang, Z., & Saber, T. (2024). Assessing the Code Clone Detection Capability of Large Language Models. In ICCQ 2024 - Proceedings of the 4th International Conference on Code Quality (pp. 75-83). doi:10.1109/ICCQ60895.2024.10576803
Mittermaier, M., Saber, T., & Botterweck, G. (2024). Learning Graph Configuration Spaces with Graph Embedding in Engineering Domains. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14506 LNCS (pp. 334-348). doi:10.1007/978-3-031-53966-4_25
Chadli, K., Botterweck, G., & Saber, T. (2024). The Environmental Cost of Engineering Machine Learning-Enabled Systems: A Mapping Study. In EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems (pp. 200-207). doi:10.1145/3642970.3655828
Farayola, M. M., Bendechache, M., Saber, T., Connolly, R., & Tal, I. (2024). Enhancing Algorithmic Fairness: Integrative Approaches and Multi-Objective Optimization Application in Recidivism Models. In ACM International Conference Proceeding Series. doi:10.1145/3664476.3669978
- Available Online
Assoc Professor Mark Scanlon
Wickramasekara, A., & Scanlon, M. (2024). A Framework for Integrated Digital Forensic Investigation Employing AutoGen AI Agents. In 12th International Symposium on Digital Forensics and Security, ISDFS 2024. doi:10.1109/ISDFS60797.2024.10527235
Zunaidi, M. R., Sayakkara, A., & Scanlon, M. (2024). A Digital Forensic Methodology for Encryption Key Recovery from Black-Box IoT Devices. In 12th International Symposium on Digital Forensics and Security, ISDFS 2024. doi:10.1109/ISDFS60797.2024.10527284
- Available Online
Dr Bartlomiej Siniarski
Ottun, A. R., Marasinghe, R., Elemosho, T., Liyanage, M., Ragab, M., Bagave, P., et al. (2024). The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications. In Proceedings - International Conference on Distributed Computing Systems (pp. 947-959). doi:10.1109/ICDCS60910.2024.00092
Senevirathna, T., Siniarski, B., Liyanage, M., & Wang, S. (2024). Deceiving Post-Hoc Explainable AI (XAI) Methods in Network Intrusion Detection. In Proceedings - IEEE Consumer Communications and Networking Conference, CCNC (pp. 107-112). doi:10.1109/CCNC51664.2024.10454633
Liyanage, M., Porambage, P., Zeydan, E., Senavirathne, T., Siriwardhana, Y., Yadav, A. K., & Siniarski, B. (2024). Advancing Security for 6G Smart Networks and Services. In 2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 (pp. 1169-1174). doi:10.1109/EuCNC/6GSummit60053.2024.10597131
Siniarski, B., Sandeepa, C., Wang, S., Liyanage, M., Ayyildiz, C., Yildirim, V. C., et al. (2024). ROBUST-6G: Smart, Automated, and Reliable Security Service Platform for 6G. In International Conference on Ubiquitous and Future Networks, ICUFN (pp. 384-389). doi:10.1109/ICUFN61752.2024.10624832
Sandeepa, C., Senevirathna, T., Siniarski, B., Wang, S., & Liyanage, M. (2024). Navigating Explainable Privacy in Federated Learning. In 2024 IFIP Networking Conference, IFIP Networking 2024 (pp. 763-768). doi:10.23919/IFIPNetworking62109.2024.10619875
Wang, S., Sandeepa, C., Senevirathna, T., Siniarski, B., Nguyen, M. D., Marchal, S., & Liyanage, M. (2024). Towards Accountable and Resilient AI-Assisted Networks: Case Studies and Future Challenges. In 2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 (pp. 818-823). doi:10.1109/EuCNC/6GSummit60053.2024.10597060
Sandeepa, C., Siniarski, B., Wang, S., & Liyanage, M. (2024). SHERPA: Explainable Robust Algorithms for Privacy-Preserved Federated Learning in Future Networks to Defend Against Data Poisoning Attacks. In Proceedings - IEEE Symposium on Security and Privacy (pp. 4772-4790). doi:10.1109/SP54263.2024.00271
- Available Online
Professor Barry Smyth
Muijlwijk, H., Willemsen, M. C., Smyth, B., & Ijsselsteijn, W. A. (2024). Benefits of Human-AI Interaction for Expert Users Interacting with Prediction Models: a Study on Marathon Running. In ACM International Conference Proceeding Series (pp. 245-258). doi:10.1145/3640543.3645205
Hurley, N., Duriakova, E., Geraci, J., O’Reilly-Morgan, D., Tragos, E., Smyth, B., & Lawlor, A. (2024). ALS Algorithm for Robust and Communication-Efficient Federated Learning. In EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems (pp. 56-64). doi:10.1145/3642970.3655842
O’Reilly Morgan, D., Tragos, E., Geraci, J., Wang, Q., Hurley, N., Smyth, B., & Lawlor, A. (2024). A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. In EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems (pp. 161-168). doi:10.1145/3642970.3655841
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Dr Kata Szita
Kukshinov, E., Tu, J., Szita, K., Nathan, K. S., & Nacke, L. E. (2024). "Never the Same": Systematic Analysis of the Methodological Issues in the Presence Studies That Employ Questionnaires. In Conference on Human Factors in Computing Systems - Proceedings. doi:10.1145/3613905.3651074
Kukshinov, E., Harley, D., Szita, K., Hadi Mogavi, R., Macarthur, C., & Nacke, L. E. (2024). Disembodied, Asocial, and Unreal: How Users Reinterpret Designed Affordances of Social VR. In Designing Interactive Systems Conference (pp. 1914-1925). ACM. doi:10.1145/3643834.3661548
- Available Online
Dr Carl Timothy Tolentino
Tolentino, C. T., & De Leon, F. (2023). Classification of Plucking Techniques from the Audio and Video of a Classical Guitar Performance. In 2023 22nd International Symposium on Communications and Information Technologies (ISCIT) (pp. 116-121). IEEE. doi:10.1109/iscit57293.2023.10376130
Abu, S. K., Jorquia, J. R., Mendoza, J. M., Tolentino, C. T., & Lucas, C. R. (2023). Lossless Audio Compression using DWT, DCT and Huffman-based LZW Encoding. In 2023 22nd International Symposium on Communications and Information Technologies (ISCIT) (pp. 357-362). IEEE. doi:10.1109/iscit57293.2023.10376073
Barimbao, C. J., Tolentino, C. T., Buenconsejo, J., & Soriano, M. (2024). The pentatonicity of two bevelled bamboo flutes from Obo of South Cotabato and Maguindanao, Philippines. In 2024: Proceedings of the 42nd Samahang Pisika ng Pilipinas Physics Conference.
Singha Roy, A., D'Amico, E., Tragos, E., Lawlor, A., & Hurley, N. (2023). Scalable Deep Q-Learning for Session-Based Slate Recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 (pp. 877-882). doi:10.1145/3604915.3608843
O’Reilly Morgan, D., Tragos, E., Geraci, J., Wang, Q., Hurley, N., Smyth, B., & Lawlor, A. (2024). A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. In EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems (pp. 161-168). doi:10.1145/3642970.3655841
Hurley, N., Duriakova, E., Geraci, J., O’Reilly-Morgan, D., Tragos, E., Smyth, B., & Lawlor, A. (2024). ALS Algorithm for Robust and Communication-Efficient Federated Learning. In EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems (pp. 56-64). doi:10.1145/3642970.3655842
- Available Online
Dr Anthony Ventresque
Doyle, J., Laurent, T., & Ventresque, A. (2024). PADRAIG: Precise Android Automated Input Generation. In IEEE International Conference on Software Quality, Reliability and Security, QRS (pp. 72-83). doi:10.1109/QRS62785.2024.00017
Holmes, R., Rushe, E., & Ventresque, A. (2024). The Key Points: Using Feature Importance to Identify Shortcomings in Sign Language Recognition Models. In 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings (pp. 15970-15975).
Agarwal, N., Vo, A. V., Bertolotto, M., Barnett, A., Khalid, A., & Globin, M. (2024). Effects of Model Drift on Ship Detection Models. In Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications Vol. 2 (pp. 750-754). doi:10.5220/0012443600003660
- Available Online
Dr Shen Wang
Wang, S., Sandeepa, C., Senevirathna, T., Siniarski, B., Nguyen, M. D., Marchal, S., & Liyanage, M. (2024). Towards Accountable and Resilient AI-Assisted Networks: Case Studies and Future Challenges. In 2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 (pp. 818-823). doi:10.1109/EuCNC/6GSummit60053.2024.10597060
Guo, J., Cheng, L., & Wang, S. (2024). CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles Using Deep Reinforcement Learning. In IEEE Intelligent Vehicles Symposium, Proceedings (pp. 3155). doi:10.1109/IV55156.2024.10588855
Siniarski, B., Sandeepa, C., Wang, S., Liyanage, M., Ayyildiz, C., Yildirim, V. C., et al. (2024). ROBUST-6G: Smart, Automated, and Reliable Security Service Platform for 6G. In International Conference on Ubiquitous and Future Networks, ICUFN (pp. 384-389). doi:10.1109/ICUFN61752.2024.10624832
Ottun, A. R., Marasinghe, R., Elemosho, T., Liyanage, M., Ahmed, A. H., Boerger, M., et al. (2024). SPATIAL: Practical AI Trustworthiness with Human Oversight. In Proceedings - International Conference on Distributed Computing Systems (pp. 1427-1430). doi:10.1109/ICDCS60910.2024.00138
Sandeepa, C., Siniarski, B., Wang, S., & Liyanage, M. (2024). SHERPA: Explainable Robust Algorithms for Privacy-Preserved Federated Learning in Future Networks to Defend Against Data Poisoning Attacks. In Proceedings - IEEE Symposium on Security and Privacy (pp. 4772-4790). doi:10.1109/SP54263.2024.00271
Ottun, A. R., Marasinghe, R., Elemosho, T., Liyanage, M., Ragab, M., Bagave, P., et al. (2024). The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications. In Proceedings - International Conference on Distributed Computing Systems (pp. 947-959). doi:10.1109/ICDCS60910.2024.00092
Perera, L., Ranaweera, P., Kusaladharma, S., Wang, S., & Liyanage, M. (2024). Unlocking Spectrum Potential: A Blockchain-Powered Paradigm for Dynamic Spectrum Management. In 2024 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2024 (pp. 1181-1186). doi:10.1109/EuCNC/6GSummit60053.2024.10597118
Sandeepa, C., Senevirathna, T., Siniarski, B., Wang, S., & Liyanage, M. (2024). Navigating Explainable Privacy in Federated Learning. In 2024 IFIP Networking Conference, IFIP Networking 2024 (pp. 763-768). doi:10.23919/IFIPNetworking62109.2024.10619875
McEnroe, P., Wang, S., & Liyanage, M. (2024). Towards Faster DRL Training: An Edge AI Approach for UAV Obstacle Avoidance by Splitting Complex Environments. In Proceedings - IEEE Consumer Communications and Networking Conference, CCNC (pp. 396-399). doi:10.1109/CCNC51664.2024.10454660
Senevirathna, T., Siniarski, B., Liyanage, M., & Wang, S. (2024). Deceiving Post-Hoc Explainable AI (XAI) Methods in Network Intrusion Detection. In Proceedings - IEEE Consumer Communications and Networking Conference, CCNC (pp. 107-112). doi:10.1109/CCNC51664.2024.10454633
Edoho, M., Mamad, O., Henshall, D. C., Mooney, C., & Wei, L. (2023). Prediction of Epilepsy Phenotype in Intra-amygdala Kainic Acid Mouse Model of Epilepsy. In ACM International Conference Proceeding Series (pp. 196-200). doi:10.1145/3637732.3637740
Wei, L., McHugh, J. C., & Mooney, C. (2023). Interictal Epileptiform Discharge Classification for the Prediction of Epilepsy Type in Children. In ACM International Conference Proceeding Series (pp. 180-184). doi:10.1145/3637732.3637737
Wei, L., & Mooney, C. (2024). An EEG-based Automatic Classification Model for Epilepsy with Explainable Artificial Intelligence. In 2024 14th International Conference on Biomedical Engineering and Technology (pp. 44-50). ACM. doi:10.1145/3678935.3678943
| Mr Sebastian Cajas Ordonez | |
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Cajas Ordonez, S., David, R., Dana, M., Kuan, T. K., Chenwei, W., David Santiago, G. C., et al. (2024). A Multi-Modal Satellite Imagery Dataset for Public Health Analysis in Colombia. doi:10.13026/s5kt-3p13 - Available Online |
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| Assoc Professor Brian Mac Namee | |
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Hagos, M. T., Belton, N., Curran, K. M., & Namee, B. M. (2023). Distance-Aware eXplanation Based Learning. IEEE. |
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| Dr Nima Afraz | |
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Wadud, A., Golpayegani, F., & Afraz, N. (2024). QACM: QoS-Aware xApp Conflict Mitigation in Open RAN. IEEE Transactions on Green Communications and Networking, 8(3), 978-993. doi:10.1109/TGCN.2024.3431945 - Available Online |
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Wilhelmi, F., Afraz, N., Guerra, E., & Dini, P. (2024). The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies. Computer Networks, 245. doi:10.1016/j.comnet.2024.110361 - Available Online |
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| Dr Hamda Ajmal | |
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Ajmal, H., Melia, R., Young, K., Bogue, J., Wood, H., O' Sullivan, M., & Duggan, J. (2023). Using crisis text messaging service data to measure the impact of the COVID-19 Pandemic on mental health in Ireland. Behaviour & Information Technology, 1-18. doi:10.1080/0144929x.2023.2284242 - Available Online |
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Ajmal, H., Hunter, E., Duggan, J., Timoney, C., & Walsh, C. (2024). Agent-Based Modelling of Mpox Infection Dynamics: Simulating Disease Transmission and Control Strategies. JASSS, 27(2). doi:10.18564/jasss.5380 - Available Online |
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| Dr Nyo Thiri Aung | |
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Dhelim, S., Chen, L., Aung, N., Zhang, W., & Ning, H. (2023). A hybrid personality-aware recommendation system based on personality traits and types models. Journal of Ambient Intelligence and Humanized Computing, 14(9), 12775-12788. doi:10.1007/s12652-022-04200-5 - Available Online |
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| Dr Félix Balado | |
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Balado, F., & Silvestre, G. C. M. (2024). General distributions of number representation elements. Probability in the Engineering and Informational Sciences, 38(3), 594-616. doi:10.1017/S0269964823000207 - Available Online |
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| Dr Brett Becker | |
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Prather, J., Reeves, B. N., Denny, P., Becker, B. A., Leinonen, J., Luxton-Reilly, A., et al. (2023). “It’s Weird That it Knows What I Want”: Usability and Interactions with Copilot for Novice Programmers. ACM Transactions on Computer-Human Interaction, 31(1). doi:10.1145/3617367 - Available Online |
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Becker, B. A., Faherty, R., Leinonen, J., Quille, K., Aldewereld, H., Marrone, S., & Nolan, K. (2023). HCAI-ep 2023 Chairs Welcome. ACM International Conference Proceeding Series, III. |
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Quille, K., Alattyanyi, C., Becker, B. A., Faherty, R., Gordon, D., Harte, M., et al. (2024). Machine vs Machine: Large Language Models (LLMs) in Applied Machine Learning High-Stakes Open-Book Exams. Revista de Educación a Distancia, 24(78). doi:10.6018/red.603001 - Available Online |
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Denny, P., Prather, J., Becker, B. A., Finnie-Ansley, J., Hellas, A., Leinonen, J., et al. (2024). Computing Education in the Era of Generative AI. Communications of the ACM, 67(2), 56-67. doi:10.1145/3624720 - Available Online |
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| Professor Julie Carson-Berndsen | |
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O'Neill, E., & Carson-Berndsen, J. (2023). Investigating the Sensitivity of Automatic Speech Recognition Systems to Phonetic Variation in L2 Englishes. Penn Working Papers: Selected Papers from NWAV 50. Retrieved from https://repository.upenn.edu/handle/20.500.14332/58897 |
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| Professor Michela Bertolotto | |
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Burse, R., Bertolotto, M., & McArdle, G. (2023). Enhancing Semantic Web Technologies Using Lexical Auditing Techniques for Quality Assurance of Biomedical Ontologies. BioMedInformatics, 3(4), 962-984. doi:10.3390/biomedinformatics3040059 - Available Online |
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| Dr Oisin Boydell | |
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Preet, I., Boydell, O., & John, D. (2024). Class-Separation Preserving Pruning for Deep Neural Networks. IEEE Transactions on Artificial Intelligence, 5(1), 290-299. doi:10.1109/TAI.2022.3228511 - Available Online |
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| Dr Rob Brennan | |
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Basereh, M., Caputo, A., & Brennan, R. (2023). Automatic transparency evaluation for open knowledge extraction systems. Journal of Biomedical Semantics, 14(1). doi:10.1186/s13326-023-00293-9 - Available Online |
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Kumar, T., Brennan, R., Mileo, A., & Bendechache, M. (2024). Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions. IEEE Access. doi:10.1109/ACCESS.2024.3470122 - Available Online |
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Ward, M. E., Geary, U., Brennan, R., Vining, R., McKenna, L., O’Connell, B., et al. (2024). A systems approach to managing the risk of healthcare acquired infection in an acute hospital setting supported by human factors ergonomics, data science, data governance and AI. Ergonomics. doi:10.1080/00140139.2024.2396527 - Available Online |
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Yaman, B., Thompson, K., Fahey, F., & Brennan, R. (2024). LinkedDataOps:quality oriented end-to-end geospatial linked data production governance. Semantic Web, 15(2), 555-581. doi:10.3233/SW-233293 - Available Online |
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| Dr Abey Campbell | |
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Iqbal, M., & Campbell, A. (2023). Metaverse as Tech for Good: Current Progress and Emerging Opportunities. Virtual Worlds, 2(4), 326-342. doi:10.3390/virtualworlds2040019 - Available Online |
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Banjar, A., Xu, X., Iqbal, M. Z., & Campbell, A. (2023). A systematic review of the experimental studies on the effectiveness of mixed reality in higher education between 2017 and 2021. Computers and Education: X Reality, 3. doi:10.1016/j.cexr.2023.100034 - Available Online |
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Iqbal, M. Z., & Campbell, A. G. (2023). Real-time hand interaction and self-directed machine learning agents in immersive learning environments. Computers and Education: X Reality, 3. doi:10.1016/j.cexr.2023.100038 - Available Online |
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Zheng, M., Lillis, D., & Campbell, A. G. (2024). Current state of the art and future directions: Augmented reality data visualization to support decision-making. Visual Informatics, 8(2), 80-105. doi:10.1016/j.visinf.2024.05.001 - Available Online |
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| Dr Simon Caton | |
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Caton, S. (2024). Message from the organizing committee Chairs. Proceedings - 2024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2024, XIII. doi:10.1109/PDP62718.2024.00006 - Available Online |
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Caton, S., & Haas, C. (2024). Fairness in Machine Learning: A Survey. ACM Computing Surveys, 56(7), 1-38. doi:10.1145/3616865 - Available Online |
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Kilroy, D., Healy, G., & Caton, S. (2024). Prediction of future customer needs using machine learning across multiple product categories. PLoS ONE, 19(8). doi:10.1371/journal.pone.0307180 - Available Online |
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| Dr Dimitris Chatzopoulos | |
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Koutsos, V., Damle, S., Papadopoulos, D., Chatzopoulos, D., & Gujar, S. (2024). AVeCQ: Anonymous Verifiable Crowdsourcing with Worker Qualities. IEEE Transactions on Dependable and Secure Computing. doi:10.1109/TDSC.2024.3396342 - Available Online |
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| Assoc Professor Rem Collier | |
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Janmaijaya, M., Rauniyar, A., Shukla, A. K., Kumar, S., Collier, R., & Muhuri, P. K. (2024). Multi-Dilated Convolutional LSTM With U-Net for Global Sea Surface Temperature Forecasting. IEEE Access, 12, 157746-157760. doi:10.1109/access.2024.3486914 - Available Online |
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Kalyani, Y., Vorster, L., Whetton, R., & Collier, R. (2024). Application Scenarios of Digital Twins for Smart Crop Farming through Cloud–Fog–Edge Infrastructure. Future Internet, 16(3). doi:10.3390/fi16030100 - Available Online |
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| Assoc Professor Fintan Costello | |
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Costello, F., & Watts, P. (2023). Underestimating the uncertainty of aggregated results: the case of W-Boson mass. European Physical Journal C, 83(9). doi:10.1140/epjc/s10052-023-11973-2 - Available Online |
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Costello, F., Watts, P., & Howe, R. (2023). A model of behavioural response to risk accurately predicts the statistical distribution of COVID-19 infection and reproduction numbers. Scientific Reports, 13(1). doi:10.1038/s41598-023-28752-4 - Available Online |
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Howe, R., Grice, C., Costello, F., Downey, V., Sammin, D., Perrotta, C., et al. (2024). COVID-19 transmission between the community and meat processing plants in Ireland: A retrospective modelling study. Heliyon, 10(10). doi:10.1016/j.heliyon.2024.e30919 - Available Online |
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| Assoc Professor David Coyle | |
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Pretorius, C., McCashin, D., & Coyle, D. (2024). Supporting personal preferences and different levels of need in online help-seeking: a comparative study of help-seeking technologies for mental health. Human-Computer Interaction, 39(5-6), 288-309. doi:10.1080/07370024.2022.2077733 - Available Online |
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| Assoc Professor Fred Cummins | |
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Cummins, F., & Longo, L. (2023). The empirical discovery of domains of assembly and communion. Language Sciences, 100. doi:10.1016/j.langsci.2023.101586 - Available Online |
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| Mr Damian Dalton | |
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Gebreyesus, Y., Dalton, D., De Chiara, D., Chinnici, M., & Chinnici, A. (2024). AI for Automating Data Center Operations: Model Explainability in the Data Centre Context Using Shapley Additive Explanations (SHAP). Electronics (Switzerland), 13(9). doi:10.3390/electronics13091628 - Available Online |
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| Dr Soumyabrata Dev | |
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Paletta, Q., Terrén-Serrano, G., Nie, Y., Li, B., Bieker, J., Zhang, W., et al. (2023). Advances in solar forecasting: Computer vision with deep learning. Advances in Applied Energy, 11. doi:10.1016/j.adapen.2023.100150 - Available Online |
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Das, R., & Dev, S. (2024). Enhancing frame-level student engagement classification through knowledge transfer techniques. Applied Intelligence, 54(2), 2261-2276. doi:10.1007/s10489-023-05256-2 - Available Online |
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Jain, M., Yadav, P., & Dev, S. (2024). Holistic and Lightweight Approach for Solar Irradiance Forecasting. IEEE Transactions on Geoscience and Remote Sensing. doi:10.1109/TGRS.2024.3415413 - Available Online |
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Saeed, M., He, J., Zhu, N., Farhan, M., Dev, S., Gadekallu, T., & Almadhor, A. (2024). An Intelligent Reinforcement Learning–Based Method for Threat Detection in Mobile Edge Networks. International Journal of Network Management. doi:10.1002/nem.2294 - Available Online |
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Wang, H., Li, Y., Gong, K., Pathan, M. S., Xi, S., Zhu, B., et al. (2024). MFCSNet: A Musician–Follower Complex Social Network for Measuring Musical Influence. Entertainment Computing, 48. doi:10.1016/j.entcom.2023.100601 - Available Online |
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Habib, S., Ahmad, M., Haq, Y. U., Sana, R., Muneer, A., Waseem, M., et al. (2024). Advancing Taxonomic Classification through Deep Learning: A Robust Artificial Intelligence Framework for Species Identification Using Natural Images. IEEE Access. doi:10.1109/ACCESS.2024.3450016 - Available Online |
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Dey, P., Dev, S., & Phelan, B. S. (2024). CombineDeepNet: A Deep Network for Multistep Prediction of Near-Surface PM2.5 Concentration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 788-807. doi:10.1109/JSTARS.2023.3333269 - Available Online |
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Wu, J., Orlandi, F., O'Sullivan, D., & Dev, S. (2024). On the Use of Virtual Knowledge Graphs to Improve Environmental Sensor Data Accessibility. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 6671-6682. doi:10.1109/JSTARS.2024.3370389 - Available Online |
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Wu, J., Orlandi, F., O'Sullivan, D., & Dev, S. (2024). LinkedGeoClimate: An Interoperable Platform for Climate Data Access Within Geographical Context. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 10352-10366. doi:10.1109/JSTARS.2024.3391922 - Available Online |
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Dey, P., Dev, S., & Phelan, B. S. (2024). Predicting Multivariate Air Pollution: A Gaussian-Mixture Nested Factorial Variational Autoencoder Approach. IEEE Geoscience and Remote Sensing Letters, 21. doi:10.1109/LGRS.2024.3416343 - Available Online |
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Wajahat, A., He, J., Zhu, N., Mahmood, T., Nazir, A., Ullah, F., et al. (2024). Securing Android IoT devices with GuardDroid transparent and lightweight malware detection. Ain Shams Engineering Journal, 15(5). doi:10.1016/j.asej.2024.102642 - Available Online |
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Imam, M., Adam, S., Dev, S., & Nesa, N. (2024). Air quality monitoring using statistical learning models for sustainable environment. Intelligent Systems with Applications, 22. doi:10.1016/j.iswa.2024.200333
Ullah, F., He, J., Zhu, N., Wajahat, A., Nazir, A., Qureshi, S., et al. (2024). Blockchain-enabled EHR access auditing: Enhancing healthcare data security. Heliyon, 10(16). doi:10.1016/j.heliyon.2024.e34407
- Available Online
Dr Sahraoui Dhelim
Dhelim, S., Chen, L., Aung, N., Zhang, W., & Ning, H. (2023). A hybrid personality-aware recommendation system based on personality traits and types models. Journal of Ambient Intelligence and Humanized Computing, 14(9), 12775-12788. doi:10.1007/s12652-022-04200-5
Dhelim, S., Chen, L., Das, S. K., Ning, H., Nugent, C., Leavey, G., et al. (2023). Detecting Mental Distresses Using Social Behavior Analysis in the Context of COVID-19: A Survey. ACM Computing Surveys, 55(14 S). doi:10.1145/3589784
Naouri, A., Nouri, N. A., Khelloufi, A., Sada, A. B., Naouri, S., Ning, H., & Dhelim, S. (2024). BusCache: V2V-Based Infrastructure-Free Content Dissemination System for the Internet of Vehicles. IEEE Access, 12, 37663-37678. doi:10.1109/ACCESS.2024.3374881
Ben Sada, A., Khelloufi, A., Naouri, A., Ning, H., & Dhelim, S. (2024). Energy-Aware Selective Inference Task Offloading for Real-Time Edge Computing Applications. IEEE Access, 12, 72924-72937. doi:10.1109/ACCESS.2024.3404272
Khelloufi, A., Khelil, A., Naouri, A., Sada, A. B., Ning, H., Aung, N., & Dhelim, S. (2024). A Hybrid Feature and Trust-Aggregation Recommender System in the Social Internet of Things. IEEE Access, 12, 126460-126477. doi:10.1109/ACCESS.2024.3411887
Mohamed Hadjkouider, A., Kerrache, C. A., Korichi, A., Sahraoui, Y., Calafate, C. T., Dhelim, S., & Adnane, A. (2024). A Review of Service Selection Strategies in Mobile IoT Networks. IEEE Open Journal of the Communications Society, 5, 3229-3244. doi:10.1109/OJCOMS.2024.3400981
Khelloufi, A., Ning, H., Naouri, A., Sada, A. B., Qammar, A., Khalil, A., et al. (2024). A Multimodal Latent-Features-Based Service Recommendation System for the Social Internet of Things. IEEE Transactions on Computational Social Systems, 11(4), 5388-5403. doi:10.1109/TCSS.2024.3360518
Odeh, J. O., Yang, X., Nwakanma, C. I., & Dhelim, S. (2024). Asynchronous Privacy-Preservation Federated Learning Method for Mobile Edge Network in Industrial Internet of Things Ecosystem. Electronics (Switzerland), 13(9). doi:10.3390/electronics13091610
Malek, R., Yang, Q., & Dhelim, S. (2024). Toward Sustainable Global Product Development Performance: Exploring the Criticality of Organizational Factors and the Moderating Influence of Global Innovation Culture. Sustainability (Switzerland), 16(10). doi:10.3390/su16103911
Aung, N., Dhelim, S., Chen, L., Ning, H., Atzori, L., & Kechadi, T. (2024). Edge-Enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing. Tsinghua Science and Technology, 29(3), 795-805. doi:10.26599/TST.2023.9010052
Odeh, J. O., Yang, X., Nwakanma, C. I., & Dhelim, S. (2024). Context Privacy Preservation for User Validation by Wireless Sensors in the Industrial Metaverse Access System. Algorithms, 17(6). doi:10.3390/a17060225
Shi, F., Ning, H., Chen, L., & Dhelim, S. (2024). Cyber-Syndrome: Concept, Theoretical Characterization, and Control Mechanism. Tsinghua Science and Technology, 29(3), 721-735. doi:10.26599/TST.2023.9010046
Ben Sada, A., Khelloufi, A., Naouri, A., Ning, H., Aung, N., & Dhelim, S. (2024). Multi-Agent Deep Reinforcement Learning-Based Inference Task Scheduling and Offloading for Maximum Inference Accuracy under Time and Energy Constraints. Electronics (Switzerland), 13(13). doi:10.3390/electronics13132580
- Available Online
Dr Ruihai Dong
Zhang, C., Zu, T., Hou, Y., He, J., Yang, S., & Dong, R. (2023). Human activity recognition based on multi-modal fusion. CCF Transactions on Pervasive Computing and Interaction, 5(3), 321-332. doi:10.1007/s42486-023-00132-x
Deng, S., Wu, L., Shi, G., Xing, L., Jian, M., Xiang, Y., & Dong, R. (2024). Learning to compose diversified prompts for image emotion classification. Computational Visual Media. doi:10.1007/s41095-023-0389-6
Wang, X., Liu, J., Dong, R., Gilchrist, M. D., & Zhang, N. (2024). High-precision digital light processing (DLP) printing of microstructures for microfluidics applications based on a machine learning approach. Virtual and Physical Prototyping, 19(1). doi:10.1080/17452759.2024.2318774
Ruan, Q., Mac Namee, B., & Dong, R. (2024). The Effects of Media Bias on News Recommendations. IEEE Access, 12, 83391-83404. doi:10.1109/ACCESS.2024.3413772
Wang, J., Ma, S., An, Y., & Dong, R. (2024). A Comparative Study of Vision Transformer and Convolutional Neural Network Models in Geological Fault Detection. IEEE Access, 12, 136148-136159. doi:10.1109/ACCESS.2024.3433612
Feng, T. W., Edros, R., Ghani, N. A., Mokhtar, S. U., & Dong, R. (2024). Prediction of Blood-Brain Barrier Permeability of Compounds by Machine Learning Algorithms. Journal of Advanced Research in Applied Sciences and Engineering Technology, 33(2), 269-276. doi:10.37934/araset.33.2.269276
Ma, S., Mathur, P., Ju, Z., Lawlor, A., & Dong, R. (2024). Model-data-driven adversarial active learning for brain tumor segmentation. Computers in Biology and Medicine, 176. doi:10.1016/j.compbiomed.2024.108585
Liu, D., Greene, D., Li, I., Jiang, X., & Dong, R. (2024). Topic-Centric Explanations for News Recommendation. ACM Transactions on Recommender Systems. doi:10.1145/3680295
- Available Online
Dr Daniel Gibert
Gibert, D., Zizzo, G., Le, Q., & Planes, J. (2024). Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing. IEEE Access, 12, 61152-61162. doi:10.1109/ACCESS.2024.3392391
Crespo, A., Gibert, D., de Gracia, Á., & Fernández, C. (2024). Optimal control of a solar-driven seasonal sorption storage system through deep reinforcement learning. Applied Thermal Engineering, 238. doi:10.1016/j.applthermaleng.2023.121905
- Available Online
Dr Polat Goktas
Goktas, P., Karakaya, G., Kalyoncu, A. F., & Damadoglu, E. (2023). Artificial Intelligence Chatbots in Allergy and Immunology Practice: Where Have We Been and Where Are We Going?. Journal of Allergy and Clinical Immunology: In Practice, 11(9), 2697-2700. doi:10.1016/j.jaip.2023.05.042
Goktas, P., Karakaya, G., Kalyoncu, A. F., & Damadoglu, E. (2023). Reply to “Artificial intelligence's potential in tailoring prescription of biological therapy for chronic rhinosinusitis”. Journal of Allergy and Clinical Immunology: In Practice, 11(10), 3286-3287. doi:10.1016/j.jaip.2023.07.044
Goktas, P., & Agildere, A. M. (2024). Transforming Radiology with Artificial Intelligence Visual Chatbot: A Balanced Perspective. Journal of the American College of Radiology, 21(2), 224-225. doi:10.1016/j.jacr.2023.07.023
Bodur, G., Turhan, Z., Kucukkaya, A., & Goktas, P. (2024). Assessing the virtual reality perspectives and self-directed learning skills of nursing students: A machine learning-enhanced approach. Nurse Education in Practice, 75. doi:10.1016/j.nepr.2024.103881
- Available Online
Dr Fatemeh Golpayegani
Malekjafarian, A., Sarrabezolles, C. A., Khan, M. A., & Golpayegani, F. (2023). A Machine-Learning-Based Approach for Railway Track Monitoring Using Acceleration Measured on an In-Service Train. Sensors, 23(17). doi:10.3390/s23177568
Wadud, A., Golpayegani, F., & Afraz, N. (2024). QACM: QoS-Aware xApp Conflict Mitigation in Open RAN. IEEE Transactions on Green Communications and Networking, 8(3), 978-993. doi:10.1109/TGCN.2024.3431945
Safavifar, Z., Gyamfi, E., Mangina, E., & Golpayegani, F. (2024). Multi-Objective Deep Reinforcement Learning for Efficient Workload Orchestration in Extreme Edge Computing. IEEE Access, 12, 74558-74571. doi:10.1109/ACCESS.2024.3405411
Ghanadbashi, S., Safavifar, Z., Taebi, F., & Golpayegani, F. (2024). Handling uncertainty in self-adaptive systems: an ontology-based reinforcement learning model. Journal of Reliable Intelligent Environments, 10(1), 19-44. doi:10.1007/s40860-022-00198-x
Golpayegani, F., Ghanadbashi, S., & Zarchini, A. (2024). Advancing Sustainable Manufacturing: Reinforcement Learning with Adaptive Reward Machine Using an Ontology-Based Approach. Sustainability (Switzerland), 16(14). doi:10.3390/su16145873
- Available Online
Assoc Professor Derek Greene
Delaney, E., Pakrashi, A., Greene, D., & Keane, M. T. (2023). Counterfactual explanations for misclassified images: How human and machine explanations differ. Artificial Intelligence, 324. doi:10.1016/j.artint.2023.103995
Cunningham, E., & Greene, D. (2023). Surrogate explanations for role discovery on graphs. Applied Network Science, 8(1). doi:10.1007/s41109-023-00551-w
Cross, J. P., Greene, D., Umansky, N., & Calò, S. (2024). Speaking in unison? Explaining the role of agenda-setter constellations in the ECB policy agenda using a network-based approach. Journal of European Public Policy, 31(11), 3676-3702. doi:10.1080/13501763.2023.2242891
Delaney, E., Pakrashi, A., Greene, D., & Keane, M. T. (2024). Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). Proceedings of the AAAI Conference on Artificial Intelligence, 38(20), 22696. doi:10.1609/aaai.v38i20.30596
Greene, D., O’Sullivan, J., & O’Reilly, D. (2024). Topic modelling literary interviews from The Paris Review. Digital Scholarship in the Humanities, 39(1), 142-153. doi:10.1093/llc/fqad098
Liu, D., Greene, D., Li, I., Jiang, X., & Dong, R. (2024). Topic-Centric Explanations for News Recommendation. ACM Transactions on Recommender Systems. doi:10.1145/3680295
- Available Online
Dr Alzubair Hassan
Yousif, A., Shohdy, M., Hassan, A., & Ali, A. (2023). Internet of Things Data Cloud Jobs Scheduling Using Modified Distance Cat Swarm Optimization. Electronics (Switzerland), 12(23). doi:10.3390/electronics12234784
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Dr Andrew Hines
Anwar, M. S., Choi, A., Ahmad, S., Aurangzeb, K., Laghari, A. A., Gadekallu, T. R., & Hines, A. (2024). A Moving Metaverse: QoE challenges and standards requirements for immersive media consumption in autonomous vehicles. Applied Soft Computing, 159. doi:10.1016/j.asoc.2024.111577
- Available Online
Assoc Professor Georgiana Ifrim
Nguyen, T. T., Le Nguyen, T., & Ifrim, G. (2024). Robust explainer recommendation for time series classification. Data Mining and Knowledge Discovery. doi:10.1007/s10618-024-01045-8
Ma, S., Mathur, P., Ju, Z., Lawlor, A., & Dong, R. (2024). Model-data-driven adversarial active learning for brain tumor segmentation. Computers in Biology and Medicine, 176. doi:10.1016/j.compbiomed.2024.108585
- Available Online
Dr Anca Delia Jurcut
Mousa, A. R., ElSayed, M. S., Jurcut, A., & Azer, M. A. (2023). A lightweight-X-authentication protocol over automotive gateway. Computers and Electrical Engineering, 110. doi:10.1016/j.compeleceng.2023.108887
Mukhtar, B. I., Elsayed, M. S., Jurcut, A. D., & Azer, M. A. (2023). IoT Vulnerabilities and Attacks: SILEX Malware Case Study. Symmetry, 15(11). doi:10.3390/sym15111978
Chithaluru, P., Singh, A., Dhatterwal, J. S., Sodhro, A. H., Albahar, M. A., Jurcut, A., & Alkhayyat, A. (2023). An Optimized Privacy Information Exchange Schema for Explainable AI Empowered WiMAX-based IoT networks. Future Generation Computer Systems, 148, 225-239. doi:10.1016/j.future.2023.06.003
Nazir, M., Butt, Z., Sabah, A., Yaseen, A., & Jurcut, A. (2023). Machine learning-based business risk analysis for big data: A case study of Pakistan. International Journal of Computational Economics and Econometrics, 14(1), 23-41. doi:10.1504/IJCEE.2024.135648
Yi, Y., Zhu, N., He, J., Jurcut, A. D., Ma, X., & Luo, Y. (2024). A privacy-sensitive data identification model in online social networks. Transactions on Emerging Telecommunications Technologies, 35(1). doi:10.1002/ett.4876
Yamany, B., Elsayed, M. S., Jurcut, A. D., Abdelbaki, N., & Azer, M. A. (2024). A Holistic Approach to Ransomware Classification: Leveraging Static and Dynamic Analysis with Visualization. Information (Switzerland), 15(1). doi:10.3390/info15010046
Ali, Z., Hussain, T., Su, C. L., Sadiq, M., Jurcut, A. D., Tsao, S. H., et al. (2024). A New Paradigm for Adaptive Cyber-Resilience of DC Shipboard Microgrids Using Hybrid Signal Processing with Deep Learning Method. IEEE Transactions on Transportation Electrification. doi:10.1109/TTE.2024.3459856
Ranaweera, P., Yadav, A. K., Liyanage, M., & Jurcut, A. D. (2024). A Novel Authentication Protocol for 5G gNodeBs in Service Migration Scenarios of MEC. IEEE Transactions on Dependable and Secure Computing, 21(4), 2930-2948. doi:10.1109/TDSC.2023.3320647
Abid, M. A., Amjad, M., Munir, K., Siddique, H. U. R., & Jurcut, A. D. (2024). IoT-Based Smart Biofloc Monitoring System for Fish Farming Using Machine Learning. IEEE Access, 12, 86333-86345. doi:10.1109/ACCESS.2024.3384263
Rustam, F., Raza, A., Qasim, M., Posa, S. K., & Jurcut, A. D. (2024). A Novel Approach for Real-Time Server-Based Attack Detection Using Meta-Learning. IEEE Access, 12, 39614-39627. doi:10.1109/ACCESS.2024.3375878
Rustam, F., & Jurcut, A. D. (2024). Malicious traffic detection in multi-environment networks using novel S-DATE and PSO-D-SEM approaches. Computers and Security, 136. doi:10.1016/j.cose.2023.103564
Shafique, R., Rustam, F., Murtala, S., Jurcut, A. D., & Choi, G. S. (2024). Advancing Autonomous Vehicle Safety: Machine Learning to Predict Sensor-Related Accident Severity. IEEE Access, 12, 25933-25948. doi:10.1109/ACCESS.2024.3366990
Yi, Y., Zhu, N., He, J., Jurcut, A. D., Ma, X., & Luo, Y. (2024). An Evolutionary Game Theory-Based Cooperation Framework for Countering Privacy Inference Attacks. IEEE Transactions on Computational Social Systems, 11(3), 4367-4384. doi:10.1109/TCSS.2024.3359254
- Available Online
Professor Mark Keane
Delaney, E., Pakrashi, A., Greene, D., & Keane, M. T. (2023). Counterfactual explanations for misclassified images: How human and machine explanations differ. Artificial Intelligence, 324. doi:10.1016/j.artint.2023.103995
Warren, G., Delaney, E., Guéret, C., & Keane, M. T. (2024). Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14775 LNAI, 206-222. doi:10.1007/978-3-031-63646-2_14
Aryal, S., & Keane, M. T. (2024). Even-Ifs from If-Onlys: Are the Best Semi-factual Explanations Found Using Counterfactuals as Guides?. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14775 LNAI, 33-49. doi:10.1007/978-3-031-63646-2_3
Aryal, S. (2024). Semi-factual Explanations in AI. Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23379-23380. doi:10.1609/aaai.v38i21.30390
Delaney, E., Pakrashi, A., Greene, D., & Keane, M. T. (2024). Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). Proceedings of the AAAI Conference on Artificial Intelligence, 38(20), 22696. doi:10.1609/aaai.v38i20.30596
Kenny, E. M., Ruelle, E., Keane, M. T., & Shalloo, L. (2024). A Hybrid Model that Combines Machine Learning and Mechanistic Models for Useful Grass Growth Prediction. Computers and Electronics in Agriculture, 219. doi:10.1016/j.compag.2024.108805
Warren, G., Byrne, R. M. J., & Keane, M. T. (2024). Categorical and Continuous Features in Counterfactual Explanations of AI Systems. ACM Transactions on Interactive Intelligent Systems. doi:10.1145/3673907
- Available Online
Professor Mohand Tahar Kechadi
Xu, C., & Kechadi, M. T. (2024). An Enhanced Fake News Detection System With Fuzzy Deep Learning. IEEE Access, 12, 88006-88021. doi:10.1109/ACCESS.2024.3418340
Bansal, Y., Lillis, D., & Kechadi, M. T. (2024). Correction to: A neural meta model for predicting winter wheat crop yield (Machine Learning, (2024), 10.1007/s10994-023-06455-1). Machine Learning, 113(5), 3353. doi:10.1007/s10994-024-06535-w
Bansal, Y., Lillis, D., & Kechadi, M. T. (2024). A neural meta model for predicting winter wheat crop yield. Machine Learning, 113(6), 3771-3788. doi:10.1007/s10994-023-06455-1
- Available Online
Assoc Professor Alexey Lastovetsky
Khaleghzadeh, H., Reddy Manumachu, R., & Lastovetsky, A. (2023). Efficient exact algorithms for continuous bi-objective performance-energy optimization of applications with linear energy and monotonically increasing performance profiles on heterogeneous high performance computing platforms. Concurrency and Computation: Practice and Experience, 35(20). doi:10.1002/cpe.7285
Farrelly, S., Manumachu, R. R., & Lastovetsky, A. (2024). OpenH: A Novel Programming Model and API for Developing Portable Parallel Programs on Heterogeneous Hybrid Servers. IEEE Access, 12, 23666-23694. doi:10.1109/ACCESS.2024.3364672
Nuriyev, E., Manumachu, R. R., Aseeri, S., Verma, M. K., & Lastovetsky, A. L. (2024). SUARA: A scalable universal allreduce communication algorithm for acceleration of parallel deep learning applications. Journal of Parallel and Distributed Computing, 183. doi:10.1016/j.jpdc.2023.104767
???????, ?., ?????????, ?., ???????????, ?., & ????????, ?. (2024). ???????????? ???????????? ????????? ??????? ?????? ????????????? ????????? ? ??????? ?????? ????? ? ?????????? ????????????. BULLETIN OF THE L.N. GUMILYOV EURASIAN NATIONAL UNIVERSITY. Mathematics. Computer science. Mechanics series, 146(1), 6-16. doi:10.32523/2616-7182/bulmathenu.2024/1.1
- Available Online
Dr Aonghus Lawlor
Konkolewska, A., Phang, S., Conaghan, P., Milbourne, D., Lawlor, A., & Byrne, S. (2023). Genomic prediction of seasonal forage yield in perennial ryegrass. Grassland Research, 2(3), 167-181. doi:10.1002/glr2.12058
Kelly, B. S., Judge, C., Hoare, S., Colleran, G., Lawlor, A., & Killeen, R. P. (2023). How to apply evidence-based practice to the use of artificial intelligence in radiology (EBRAI) using the data algorithm training output (DATO) method. British Journal of Radiology, 96(1150). doi:10.1259/bjr.20220215
Kelly, B. S., Mathur, P., Plesniar, J., Lawlor, A., & Killeen, R. P. (2023). Using deep learning–derived image features in radiologic time series to make personalised predictions: proof of concept in colonic transit data. European Radiology, 33(11), 8376-8386. doi:10.1007/s00330-023-09769-9
Kelly, B. S., Quinn, C., Belton, N., Lawlor, A., Killeen, R. P., & Burrell, J. (2023). Cybersecurity considerations for radiology departments involved with artificial intelligence. European Radiology, 33(12), 8833-8841. doi:10.1007/s00330-023-09860-1
Potocnik, J., Thomas, E., Lawlor, A., Kearney, D., Heffernan, E. J., Killeen, R. P., & Foley, S. J. (2024). Machine learning and deep learning for classifying the justification of brain CT referrals. European Radiology. doi:10.1007/s00330-024-10851-z
Kelly, B. S., Mathur, P., McGuinness, G., Dillon, H., Lee, E. H., Yeom, K. W., et al. (2024). A Radiomic “Warning Sign” of Progression on Brain MRI in Individuals with MS. American Journal of Neuroradiology, 45(2), 236-243. doi:10.3174/ajnr.A8104
Kelly, B. S., Mathur, P., Vaca, S. D., Duignan, J., Power, S., Lee, E. H., et al. (2024). iSPAN: Explainable prediction of outcomes post thrombectomy with Machine Learning. European Journal of Radiology, 173. doi:10.1016/j.ejrad.2024.111357
Ma, S., Mathur, P., Ju, Z., Lawlor, A., & Dong, R. (2024). Model-data-driven adversarial active learning for brain tumor segmentation. Computers in Biology and Medicine, 176. doi:10.1016/j.compbiomed.2024.108585
Belton, N., Hagos, M. T., Lawlor, A., & Curran, K. M. (2024). Towards a unified approach for unsupervised brain MRI Motion Artefact Detection with few shot Anomaly Detection. Computerized Medical Imaging and Graphics, 115. doi:10.1016/j.compmedimag.2024.102391
Gibert, D., Zizzo, G., Le, Q., & Planes, J. (2024). Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing. IEEE Access, 12, 61152-61162. doi:10.1109/ACCESS.2024.3392391
- Available Online
Assoc Professor Nhien An Le Khac
Larsen, O. H., Ngo, H. Q., & Le-Khac, N. A. (2023). A quantitative study of the law enforcement in using open source intelligence techniques through undergraduate practical training. Forensic Science International: Digital Investigation, 47. doi:10.1016/j.fsidi.2023.301622
Ngo, H. Q., & Le-Khac, N. A. (2023). Ontology-based case study management towards bridging training and actual investigation gaps in digital forensics. Forensic Science International: Digital Investigation, 47. doi:10.1016/j.fsidi.2023.301621
Navanesan, L., Le-Khac, N. A., Oren, Y., De Zoysa, K., & Sayakkara, A. P. (2024). Cross-device Portability of Machine Learning Models in Electromagnetic Side-Channel Analysis for Forensics. Journal of Universal Computer Science, 30(10), 1390-1423. doi:10.3897/jucs.109788
Nguyen, D. A., Pham, C., & Le-Khac, N. A. (2024). Virtual Fusion with Contrastive Learning for Single-Sensor-Based Activity Recognition. IEEE Sensors Journal, 24(15), 25041-25048. doi:10.1109/JSEN.2024.3412397
Nicholls, J., Kuppa, A., & Le-Khac, N. A. (2024). The next phase of identifying illicit activity in Bitcoin. International Journal of Network Management. doi:10.1002/nem.2259
Yasarathna, T. L., Navanesan, L., Barcque, S., Sayakkara, A., & Le-Khac, N. A. (2024). Crossed-IoT Device Portability of Electromagnetic Side Channel Analysis: Challenges and Dataset. Vietnam Journal of Computer Science. doi:10.1142/S2196888824500052
Navanesan, L., Le-Khac, N. A., Scanlon, M., De Zoysa, K., & Sayakkara, A. P. (2024). Ensuring cross-device portability of electromagnetic side-channel analysis for digital forensics. Forensic Science International: Digital Investigation, 48. doi:10.1016/j.fsidi.2023.301684
Ngo, H. Q., Nguyen, H. D., & Le-Khac, N. A. (2024). Ontology Knowledge Map Approach Towards Building Linked Data for Vietnamese Legal Applications<sup>¤</sup>. Vietnam Journal of Computer Science, 11(2), 323-342. doi:10.1142/S2196888824500015
Nguyen, D. A., Pham, C., Argent, R., Caulfield, B., & Le-Khac, N. A. (2024). Model and Empirical Study on Multi-tasking Learning for Human Fall Detection. Vietnam Journal of Computer Science, 11(3), 363-376. doi:10.1142/S2196888824500040
- Available Online
Dr David Lillis
Bansal, Y., Lillis, D., & Kechadi, M. T. (2024). Correction to: A neural meta model for predicting winter wheat crop yield (Machine Learning, (2024), 10.1007/s10994-023-06455-1). Machine Learning, 113(5), 3353. doi:10.1007/s10994-024-06535-w
Bansal, Y., Lillis, D., & Kechadi, M. T. (2024). A neural meta model for predicting winter wheat crop yield. Machine Learning, 113(6), 3771-3788. doi:10.1007/s10994-023-06455-1
Zheng, M., Lillis, D., & Campbell, A. G. (2024). Current state of the art and future directions: Augmented reality data visualization to support decision-making. Visual Informatics, 8(2), 80-105. doi:10.1016/j.visinf.2024.05.001
- Available Online
Assoc Professor Madhusanka Liyanage
Weerasinghe, N., Mishra, R., Porambage, P., Liyanage, M., & Ylianttila, M. (2023). Proof-of-Monitoring (PoM): A Novel Consensus Mechanism for Blockchain-Based Secure Service Level Agreement Management. IEEE Transactions on Network and Service Management, 20(3), 2783-2803. doi:10.1109/TNSM.2023.3234862
Yadav, A. K., Wijethilaka, S., Braeken, A., Misra, M., & Liyanage, M. (2023). An Enhanced Cross-Network-Slice Authentication Protocol for 5G. IEEE Transactions on Sustainable Computing, 8(4), 555-573. doi:10.1109/TSUSC.2023.3283615
Fernando, P., Dadallage, K., Gamage, T., Seneviratne, C., Braeken, A., Madanayake, A., & Liyanage, M. (2023). Distributed-Proof-of-Sense: Blockchain Consensus Mechanisms for Detecting Spectrum Access Violations of the Radio Spectrum. IEEE Transactions on Cognitive Communications and Networking, 9(5), 1110-1125. doi:10.1109/TCCN.2023.3291366
Javed, A. R., Saadia, A., Mughal, H., Gadekallu, T. R., Rizwan, M., Maddikunta, P. K. R., et al. (2023). Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions. Cognitive Computation, 15(6), 1767-1812. doi:10.1007/s12559-023-10153-4
Bashir, A. K., Victor, N., Bhattacharya, S., Huynh-The, T., Chengoden, R., Yenduri, G., et al. (2023). Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions. IEEE Internet of Things Journal, 10(24), 21873-21891. doi:10.1109/JIOT.2023.3304790
Zeydan, E., Blanco, L., Mangues-Bafalluy, J., Arslan, S. S., Turk, Y., Yadav, A. K., & Liyanage, M. (2024). Blockchain-Based Self-Sovereign Identity: Taking Control of Identity in Federated Learning. IEEE Open Journal of the Communications Society. doi:10.1109/OJCOMS.2024.3449692
Wijethilaka, S., Kumar Yadav, A., Braeken, A., & Liyanage, M. (2024). Blockchain-Based Secure Authentication and Authorization Framework for Robust 5G Network Slicing. IEEE Transactions on Network and Service Management, 21(4), 3988-4005. doi:10.1109/TNSM.2024.3416418
Ranaweera, P., Yadav, A. K., Liyanage, M., & Jurcut, A. D. (2024). A Novel Authentication Protocol for 5G gNodeBs in Service Migration Scenarios of MEC. IEEE Transactions on Dependable and Secure Computing, 21(4), 2930-2948. doi:10.1109/TDSC.2023.3320647
Yapa, C., Alwis, C. D., Wijewardhana, U., Liyanage, M., & Ekanayake, J. (2024). Power Line Monitoring-Based Consensus Algorithm for Performance Enhancement of Energy Blockchain Applications in Smart Grid 2.0. IEEE Transactions on Smart Grid. doi:10.1109/TSG.2024.3445659
Wang, S., Qureshi, M. A., Miralles-Pechuan, L., Huynh-The, T., Gadekallu, T. R., & Liyanage, M. (2024). Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges. IEEE Open Journal of the Communications Society, 5, 2490-2540. doi:10.1109/OJCOMS.2024.3386872
Perera, L., Ranaweera, P., Kusaladharma, S., Wang, S., & Liyanage, M. (2024). A Survey on Blockchain for Dynamic Spectrum Sharing. IEEE Open Journal of the Communications Society, 5, 1753-1802. doi:10.1109/OJCOMS.2024.3376233
Senevirathna, T., La, V. H., Marchal, S., Siniarski, B., Liyanage, M., & Wang, S. (2024). A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions. IEEE Communications Surveys and Tutorials. doi:10.1109/COMST.2024.3437248
De Alwis, C., Porambage, P., Dev, K., Gadekallu, T. R., & Liyanage, M. (2024). A Survey on Network Slicing Security: Attacks, Challenges, Solutions and Research Directions. IEEE Communications Surveys and Tutorials, 26(1), 534-570. doi:10.1109/COMST.2023.3312349
Zeydan, E., Arslan, S. S., & Liyanage, M. (2024). Managing Distributed Machine Learning Lifecycle for Healthcare Data in the Cloud. IEEE Access, 12, 115750-115774. doi:10.1109/ACCESS.2024.3443520
Yadav, A. K., Misra, M., Pandey, P. K., Ranaweera, P., Liyanage, M., & Kumar, N. (2024). A Secure Authentication Protocol for IoT-WLAN using EAP framework. IEEE Transactions on Dependable and Secure Computing. doi:10.1109/TDSC.2024.3388467
Siriwardhana, Y., Porambage, P., Liyanage, M., Marchal, S., & Ylianttila, M. (2024). SHIELD-Secure Aggregation against Poisoning in Hierarchical Federated Learning. IEEE Transactions on Dependable and Secure Computing. doi:10.1109/TDSC.2024.3472869
Sandeepa, C., Siniarski, B., Wang, S., & Liyanage, M. (2024). Rec-Def: A Recommendation-Based Defence Mechanism for Privacy Preservation in Federated Learning Systems. IEEE Transactions on Consumer Electronics, 70(1), 2716-2728. doi:10.1109/TCE.2023.3333560
Boopathy, P., Liyanage, M., Deepa, N., Velavali, M., Reddy, S., Maddikunta, P. K. R., et al. (2024). Deep learning for intelligent demand response and smart grids: A comprehensive survey. Computer Science Review, 51. doi:10.1016/j.cosrev.2024.100617
Kalla, A., De Alwis, C., Gochhayat, S. P., Gur, G., Liyanage, M., & Porambage, P. (2024). Emerging Directions for Blockchainized 6G. IEEE Consumer Electronics Magazine, 13(2), 42-51. doi:10.1109/MCE.2022.3164530
Yapa, C., De Alwis, C., Liyanage, M., & Ekanayake, J. (2024). Utilization of a blockchainized reputation management service for performance enhancement of Smart Grid 2.0 applications. Journal of Industrial Information Integration, 39. doi:10.1016/j.jii.2024.100580
Sandeepa, C., Siniarski, B., Kourtellis, N., Wang, S., & Liyanage, M. (2024). A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks. ACM Computing Surveys, 56(10). doi:10.1145/3662179
Ma, S., Mathur, P., Ju, Z., Lawlor, A., & Dong, R. (2024). Model-data-driven adversarial active learning for brain tumor segmentation. Computers in Biology and Medicine, 176. doi:10.1016/j.compbiomed.2024.108585
- Available Online
Assoc Professor Brian Mac Namee
Pakrashi, A., & Mac Namee, B. (2023). ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter. SN Computer Science, 4(6). doi:10.1007/s42979-023-02280-4
Ruan, Q., Mac Namee, B., & Dong, R. (2024). The Effects of Media Bias on News Recommendations. IEEE Access, 12, 83391-83404. doi:10.1109/ACCESS.2024.3413772
- Available Online
Professor Eleni Mangina
Bampoulas, A., Pallonetto, F., Mangina, E., & Finn, D. P. (2023). A Bayesian deep-learning framework for assessing the energy flexibility of residential buildings with multicomponent energy systems. Applied Energy, 348. doi:10.1016/j.apenergy.2023.121576
Domínguez, A., Pacho, G., Bowers, L., Wild, F., Alcock, S., Chiazzese, G., et al. (2023). Dataset of user interactions across four large pilots on the use of augmented reality in learning experiences. Scientific Data, 10(1). doi:10.1038/s41597-023-02743-6
Dunlop, K., Dillon, G., McEvoy, A., Kane, D., Higgins, S., Mangina, E., & McAuliffe, F. M. (2024). The virtual reality classroom: a randomized control trial of medical student knowledge of postpartum hemorrhage emergency management. Frontiers in Medicine, 11. doi:10.3389/fmed.2024.1371075
Mangina, E., Psyrra, G., Screpanti, L., & Scaradozzi, D. (2024). Robotics in the Context of Primary and Preschool Education: A Scoping Review. IEEE Transactions on Learning Technologies, 17, 342-363. doi:10.1109/TLT.2023.3266631
Safavifar, Z., Gyamfi, E., Mangina, E., & Golpayegani, F. (2024). Multi-Objective Deep Reinforcement Learning for Efficient Workload Orchestration in Extreme Edge Computing. IEEE Access, 12, 74558-74571. doi:10.1109/ACCESS.2024.3405411
Walsh, J. J., Mangina, E., & Negrão, S. (2024). Advancements in Imaging Sensors and AI for Plant Stress Detection: A Systematic Literature Review. Plant Phenomics, 6. doi:10.34133/plantphenomics.0153
Carroll, P., Singh, B., & Mangina, E. (2024). Uncovering gender dimensions in energy policy using Natural Language Processing. Renewable and Sustainable Energy Reviews, 193. doi:10.1016/j.rser.2024.114281
Chen, S., Laefer, D. F., Zeng, X., Truong-Hong, L., & Mangina, E. (2024). Volumetric Pothole Detection from UAV-Based Imagery. Journal of Surveying Engineering, 150(2). doi:10.1061/JSUED2.SUENG-1458
Stephens, M., Mathana., Morrow, M. J., McBride, K., Mangina, E., Havens, J. C., et al. (2024). The Emerging “Metaverse” and Its Implications for International Business. AIB Insights, 24(2). doi:10.46697/001c.118572
- Available Online
Dr Ravi Manumachu
Khaleghzadeh, H., Reddy Manumachu, R., & Lastovetsky, A. (2023). Efficient exact algorithms for continuous bi-objective performance-energy optimization of applications with linear energy and monotonically increasing performance profiles on heterogeneous high performance computing platforms. Concurrency and Computation: Practice and Experience, 35(20). doi:10.1002/cpe.7285
Nuriyev, E., Manumachu, R. R., Aseeri, S., Verma, M. K., & Lastovetsky, A. L. (2024). SUARA: A scalable universal allreduce communication algorithm for acceleration of parallel deep learning applications. Journal of Parallel and Distributed Computing, 183. doi:10.1016/j.jpdc.2023.104767
Farrelly, S., Manumachu, R. R., & Lastovetsky, A. (2024). OpenH: A Novel Programming Model and API for Developing Portable Parallel Programs on Heterogeneous Hybrid Servers. IEEE Access, 12, 23666-23694. doi:10.1109/ACCESS.2024.3364672
Ma, S., Mathur, P., Ju, Z., Lawlor, A., & Dong, R. (2024). Model-data-driven adversarial active learning for brain tumor segmentation. Computers in Biology and Medicine, 176. doi:10.1016/j.compbiomed.2024.108585
- Available Online
Dr Mark Matthews
McInerney, A. M., Schmitz, N., Matthews, M., & Deschênes, S. S. (2024). <b>"</b>Anything that would help is a positive development": feasibility, tolerability, and user experience of smartphone-based digital phenotyping for people with and without type 2 diabetes.. BMC digital health, 2(1), 55. doi:10.1186/s44247-024-00116-6
Wallace, M. L., Frank, E., McClung, C. A., Cote, S. E., Kendrick, J., Payne, S., et al. (2024). A translationally informed approach to vital signs for psychiatry: a preliminary proof of concept. NPP—Digital Psychiatry and Neuroscience, 2(1). doi:10.1038/s44277-024-00015-8
- Available Online
Assoc Professor Gavin McArdle
Burse, R., Bertolotto, M., & McArdle, G. (2023). Enhancing Semantic Web Technologies Using Lexical Auditing Techniques for Quality Assurance of Biomedical Ontologies. BioMedInformatics, 3(4), 962-984. doi:10.3390/biomedinformatics3040059
Rabiei-Dastjerdi, H., Amini, S., McArdle, G., & Homayouni, S. (2023). City-region or city? That is the question: modelling sprawl in Isfahan using geospatial data and technology. GeoJournal, 88, 135-155. doi:10.1007/s10708-021-10554-8
Pirbasti, M. A., McArdle, G., & Akbari, V. (2024). Hedgerows Monitoring in Remote Sensing: A Comprehensive Review. IEEE Access, 12, 156184-156207. doi:10.1109/access.2024.3485512
Gupta, P., Anand, A., Agarwal, P., & McArdle, G. (2024). Neural network inspired efficient scalable task scheduling for cloud infrastructure. Internet of Things and Cyber-Physical Systems, 4, 268-279. doi:10.1016/j.iotcps.2024.02.002
Gheisari, M., Khan, W. Z., Najafabadi, H. E., McArdle, G., Rabiei-Dastjerdi, H., Liu, Y., et al. (2024). CAPPAD: a privacy-preservation solution for autonomous vehicles using SDN, differential privacy and data aggregation. Applied Intelligence, 54(4), 3417-3428. doi:10.1007/s10489-023-04991-w
- Available Online
Dr Andrew McCartan
McCartan, A. (2024). Glasgow’s contested LGBT pride spaces: examining dimensions of variegated homonormativities. Social and Cultural Geography, 25(1), 68-86. doi:10.1080/14649365.2022.2121982
- Available Online
Dr Omid Memarian Sorkhabi
Sorkhabi, O. M., & Asgari, J. (2023). Multi-sensor observations for monitoring groundwater depletion and land subsidence. Journal of Hydrology: Regional Studies, 50, 101529. doi:10.1016/j.ejrh.2023.101529
Memarian Sorkhabi, O., Khajehzadeh, M., & Keawsawasvong, S. (2023). Landslides monitoring with SBAS-InSAR and GNSS. Physics and Chemistry of the Earth, 132. doi:10.1016/j.pce.2023.103486
Sorkhabi, O. M., & Djamour, Y. (2024). 4D modeling of precipitable water vapor to assess flood forecasting by using GPS signals. Natural Hazards, 120(1), 181-195. doi:10.1007/s11069-023-06185-6
- Available Online
Professor Catherine Mooney
Edoho, M., Mamad, O., Henshall, D. C., Mooney, C., & Wei, L. (2024). Classification System for Predicting Emergent Epilepsy Phenotype in the Intra-amygdala Kainic Acid Mouse Model of Epilepsy. IEEE Transactions on Biomedical Engineering. doi:10.1109/TBME.2024.3481897
Wei, L., Mchugh, J. C., & Mooney, C. (2024). Transfer Learning for the Identification of Paediatric EEGs With Interictal Epileptiform Abnormalities. IEEE Access, 12, 86073-86082. doi:10.1109/ACCESS.2024.3415786
Wei, L., & Mooney, C. (2024). Pediatric and Adolescent Seizure Detection: A Machine Learning Approach Exploring the Influence of Age and Sex in Electroencephalogram Analysis †. BioMedInformatics, 4(1), 796-810. doi:10.3390/biomedinformatics4010044
Edoho, M., Mooney, C., & Wei, L. (2024). AI-Based Electroencephalogram Analysis in Rodent Models of Epilepsy: A Systematic Review. Applied Sciences (Switzerland), 14(16). doi:10.3390/app14167398
- Available Online
Dr Aidan Murphy
Oakley, S., Manning, M., Macfarlane, A., Murphy, A., Loftus-Moran, O., & Markey, K. (2024). Factors influencing general practice nurse's implementation of culturally responsive care, using normalization process theory: A cross-sectional study. Journal of Advanced Nursing. doi:10.1111/jan.16321
- Available Online
Professor John Murphy
Cheng, L., Liu, Q., Yang, L., & Murphy, J. (2024). Guest Editorial of the Special Section on Intelligent Computing for Big Data in Consumer Internet of Things. IEEE Transactions on Consumer Electronics, 70(2), 4958-4960. doi:10.1109/TCE.2024.3383389
- Available Online
Dr Camille Nadal
Nadal, C., Earley, C., Enrique, A., Sas, C., Richards, D., & Doherty, G. (2023). Patient Acceptance of Self-Monitoring on a Smartwatch in a Routine Digital Therapy: A Mixed-Methods Study. ACM Transactions on Computer-Human Interaction, 31(1). doi:10.1145/3617361
Jardine, J., Nadal, C., Robinson, S., Enrique, A., Hanratty, M., & Doherty, G. (2024). Between Rhetoric and Reality: Real-world Barriers to Uptake and Early Engagement in Digital Mental Health Interventions. ACM Transactions on Computer-Human Interaction, 31(2). doi:10.1145/3635472
- Available Online
Dr Avishek Nag
Wang, G., Shanker, S., Nag, A., Lian, Y., & John, D. (2024). ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors. IEEE Journal of Biomedical and Health Informatics. doi:10.1109/JBHI.2024.3455803
Chakraborty, M., Mukherjee, A., Nag, A., & Chandra, S. (2024). Hybrid Quantum Noise Model to Compute Gaussian Quantum Channel Capacity. IEEE Access, 12, 14671-14689. doi:10.1109/ACCESS.2024.3355789
Chetty, S. B., Ahmadi, H., & Nag, A. (2024). A DDPG-Based Zero-Touch Dynamic Prioritization to Address Starvation of Services for Deploying Microservices-Based VNFs. IEEE Transactions on Machine Learning in Communications and Networking, 2, 526-545. doi:10.1109/tmlcn.2024.3386152
Chetty, S. B., Nag, A., Al-Tahmeesschi, A., Wang, Q., Canberk, B., Marquez-Barja, J., & Ahmadi, H. (2024). Optimized Resource Allocation for Cloud-Native 6G Networks: Zero-Touch ML Models in Microservices-based VNF Deployments. IEEE Network, 1. doi:10.1109/mnet.2024.3486623
Lian, M., Zhao, Y., Li, Y., Nag, A., & Zhang, J. (2024). Dynamic slicing of multidimensional resources in DCI-EON with penalty-aware deep reinforcement learning. Journal of Optical Communications and Networking, 16(2), 112-126. doi:10.1364/JOCN.502374
Zhu, Q., Yu, X., Zhao, Y., Nag, A., & Zhang, J. (2024). QKD Key Provisioning with Multi-Level Pool Slicing for End-to-End Security Services in Optical Networks. IEEE Transactions on Network Science and Engineering, 11(2), 2153-2169. doi:10.1109/TNSE.2023.3338734
Ning, Y., Zhao, Y., Nag, A., Wang, H., & Zhang, J. (2024). Biphase routing scheme for optimal throughput in large-scale optical satellite networks. Journal of Optical Communications and Networking, 16(5), 553-564. doi:10.1364/JOCN.514819
Zhu, Q., Yu, X., Wang, Z., Zhao, Y., Nag, A., Wang, S., et al. (2024). Autonomic end-to-end quality-of-service assurance over QKD-secured optical networks. Optics Express, 32(10), 18317-18333. doi:10.1364/OE.516443
Mahapatra, R., Nag, A., & Bhattacharyya, S. (2024). Preface. Intelligent Communication Networks: Research and Applications, ix-xiii.
Wang, G., Wang, Q., Nag, A., & John, D. (2024). A Task-Generic High-Performance Unsupervised Pre-Training Framework for ECG. IEEE Sensors Journal, 24(13), 21776-21785. doi:10.1109/JSEN.2024.3404141
- Available Online
Dr Vivek Nallur
Tao, N., Ventresque, A., Nallur, V., & Saber, T. (2024). Enhancing Program Synthesis with Large Language Models Using Many-Objective Grammar-Guided Genetic Programming. Algorithms, 17(7). doi:10.3390/a17070287
- Available Online
Assoc Professor Mel Ó Cinnéide
Connolly Bree, D., & Ó Cinnéide, M. (2023). Energy efficiency of the Visitor Pattern: contrasting Java and C++ implementations. Empirical Software Engineering, 28(6). doi:10.1007/s10664-023-10387-8
Ouni, A., AlOmar, E. A., Hamdi, O., Cinnéide, M., Mkaouer, M. W., & Saied, M. A. (2023). On the impact of single and co-occurrent refactorings on quality attributes in android applications. Journal of Systems and Software, 205. doi:10.1016/j.jss.2023.111817
Hemati Moghadam, I., Ó Cinnéide, M., Sardarian, A., & Zarepour, F. (2024). Model-based source code refactoring with interaction and visual cues. Journal of Software: Evolution and Process, 36(5). doi:10.1002/smr.2596
- Available Online
Dr Michael O'Grady
Roszczynska-Kurasinska, M., Domaradzka, A., O'grady, M., Bedessem, B., Tempini, N., Trochymiak, M., & Wroblewska, N. (2023). Beyond Data: Recognizing the Democratic Potential of Citizen Science. IEEE Technology and Society Magazine, 42(4), 47-56. doi:10.1109/MTS.2023.3344904
Dempsey, S., & Grady, M. J. O. (2024). Current management of neonatal abstinence syndrome: a survey of practice in the UK and Ireland. Archives of Disease in Childhood: Fetal and Neonatal Edition, 109(3), 261-264. doi:10.1136/archdischild-2023-326204
- Available Online
Professor Gregory O'Hare
Zhang, T., Ma, F., Peng, C., Yu, Y., Yue, D., Dou, C., & O'Hare, G. M. P. (2023). A Very-Short-Term Online PV Power Prediction Model Based on RAN With Secondary Dynamic Adjustment. IEEE Transactions on Artificial Intelligence, 4(5), 1214-1224. doi:10.1109/TAI.2022.3179353
Nolan, T. M., Sala-Comorera, L., Reynolds, L. J., Martin, N. A., Stephens, J. H., O'Hare, G. M. P., et al. (2023). Bacteriophages from faecal contamination are an important reservoir for AMR in aquatic environments. Science of the Total Environment, 900. doi:10.1016/j.scitotenv.2023.165490
Nolan, T. M., Martin, N. A., Reynolds, L. J., Sala-Comorera, L., O'Hare, G. M. P., O'Sullivan, J. J., & Meijer, W. G. (2024). Agricultural and urban practices are correlated to changes in the resistome of riverine systems. Science of the Total Environment, 927. doi:10.1016/j.scitotenv.2024.172261
Martin, N. A., Reynolds, L. J., Sala-Comorera, L., Nolan, T. M., Stephens, J. H., Gitto, A., et al. (2024). Quantitative source apportionment of faecal indicator bacteria from anthropogenic and zoogenic sources of faecal contamination. Marine Pollution Bulletin, 205. doi:10.1016/j.marpolbul.2024.116591
- Available Online
Dr Arjun Pakrashi
Pakrashi, A., & Mac Namee, B. (2023). ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter. SN Computer Science, 4(6). doi:10.1007/s42979-023-02280-4
Delaney, E., Pakrashi, A., Greene, D., & Keane, M. T. (2023). Counterfactual explanations for misclassified images: How human and machine explanations differ. Artificial Intelligence, 324. doi:10.1016/j.artint.2023.103995
Delaney, E., Pakrashi, A., Greene, D., & Keane, M. T. (2024). Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). Proceedings of the AAAI Conference on Artificial Intelligence, 38(20), 22696. doi:10.1609/aaai.v38i20.30596
- Available Online
Dr Liliana Pasquale
Pasquale, L., Ramkumar, K., Cai, W., McCarthy, J., Doherty, G., & Nuseibeh, B. (2024). The Rocky Road to Sustainable Security. IEEE Security and Privacy, 22(5), 82-86. doi:10.1109/MSEC.2024.3429888
Baresi, L., Ma, X., & Pasquale, L. (2024). Message from the Chairs SEAMS 2024. Proceedings - 2024 IEEE/ACM 19th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2024, IX.
Nhu, V. H., Phan, D. C., Hoa, P. V., Vinh, P. T., & Bui, D. T. (2024). A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential. IEEE Access, 12, 26344-26363. doi:10.1109/ACCESS.2024.3360337
- Available Online
Assoc Professor Gianluca Pollastri
Gillani, M., & Pollastri, G. (2024). SCLpred-ECL: Subcellular Localization Prediction by Deep N-to-1 Convolutional Neural Networks. International Journal of Molecular Sciences, 25(10). doi:10.3390/ijms25105440
- Available Online
Dr Claudette Pretorius
Pretorius, C., McCashin, D., & Coyle, D. (2024). Supporting personal preferences and different levels of need in online help-seeking: a comparative study of help-seeking technologies for mental health. Human-Computer Interaction, 39(5-6), 288-309. doi:10.1080/07370024.2022.2077733
- Available Online
Dr Rajnish Rakholia
Rakholia, R., Suarez-Cetrulo, A. L., Singh, M., & Simon Carbajo, R. (2024). Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges, and Future Direction. IEEE Access, 12, 131621-131637. doi:10.1109/ACCESS.2024.3458830
- Available Online
Dr Amit Rauniyar
Chowdury, M. A. M., Nath, R., Shukla, A. K., Rauniyar, A., & Muhuri, P. K. (2024). Multi-task optimization in reliability redundancy allocation problem: A multifactorial evolutionary-based approach. Reliability Engineering and System Safety, 244. doi:10.1016/j.ress.2023.109807
- Available Online
Dr Takfarinas Saber
De Lombaerde, P., Naeher, D., Vo, H. T., & Saber, T. (2023). Regional economic integration and machine learning: Policy insights from the review of literature. Journal of Policy Modeling, 45(5), 1077-1097. doi:10.1016/j.jpolmod.2023.07.001
Saber, T., Naeher, D., & De Lombaerde, P. (2023). On the Optimal Size and Composition of Customs Unions: An Evolutionary Approach. Computational Economics, 62(4), 1457-1479. doi:10.1007/s10614-022-10307-w
Saber, T., Naeher, D., & Bendechache, M. (2024). Intelligent computational methods for economics. Expert Systems, 41(2). doi:10.1111/exsy.13523
Tao, N., Ventresque, A., Nallur, V., & Saber, T. (2024). Enhancing Program Synthesis with Large Language Models Using Many-Objective Grammar-Guided Genetic Programming. Algorithms, 17(7). doi:10.3390/a17070287
- Available Online
Assoc Professor Mark Scanlon
Scanlon, M., Breitinger, F., Hargreaves, C., Hilgert, J. N., & Sheppard, J. (2023). ChatGPT for digital forensic investigation: The good, the bad, and the unknown. Forensic Science International: Digital Investigation, 46. doi:10.1016/j.fsidi.2023.301609
Navanesan, L., Le-Khac, N. A., Scanlon, M., De Zoysa, K., & Sayakkara, A. P. (2024). Ensuring cross-device portability of electromagnetic side-channel analysis for digital forensics. Forensic Science International: Digital Investigation, 48. doi:10.1016/j.fsidi.2023.301684
Breitinger, F., Hilgert, J. N., Hargreaves, C., Sheppard, J., Overdorf, R., & Scanlon, M. (2024). DFRWS EU 10-year review and future directions in Digital Forensic Research. Forensic Science International: Digital Investigation, 48. doi:10.1016/j.fsidi.2023.301685
Zunaidi, M. R., Sayakkara, A., & Scanlon, M. (2024). Revealing IoT Cryptographic Settings through Electromagnetic Side-Channel Analysis. Electronics (Switzerland), 13(8). doi:10.3390/electronics13081579
Kanta, A., Coisel, I., & Scanlon, M. (2024). A comprehensive evaluation on the benefits of context based password cracking for digital forensics. Journal of Information Security and Applications, 84. doi:10.1016/j.jisa.2024.103809
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Dr Arsalan Shahid
Riddell, M. C., Lewis, D. M., Turner, L. V., Lal, R. A., Shahid, A., & Zaharieva, D. P. (2024). Refining Insulin on Board with netIOB for Automated Insulin Delivery. Journal of Diabetes Science and Technology. doi:10.1177/19322968241267820
Lewis, D. M., & Shahid, A. (2024). Glycemic Variability Assessment in Newly Treated Exocrine Pancreatic Insufficiency With Type 1 Diabetes. Journal of Diabetes Science and Technology, 18(2), 430-437. doi:10.1177/19322968221108414
Zafar, A., Parthasarathy, V. B., Van, C. L., Shahid, S., Khan, A. I., & Shahid, A. (2024). Building Trust in Conversational AI: A Review and Solution Architecture Using Large Language Models and Knowledge Graphs. Big Data and Cognitive Computing, 8(6). doi:10.3390/bdcc8060070
- Available Online
Assoc Professor Guenole Silvestre
Balado, F., & Silvestre, G. C. M. (2024). General distributions of number representation elements. Probability in the Engineering and Informational Sciences. doi:10.1017/S0269964823000207
- Available Online
Ms Bhawna Singh
Carroll, P., Singh, B., & Mangina, E. (2024). Uncovering gender dimensions in energy policy using Natural Language Processing. Renewable and Sustainable Energy Reviews, 193. doi:10.1016/j.rser.2024.114281
- Available Online
Dr Bartlomiej Siniarski
Senevirathna, T., La, V. H., Marchal, S., Siniarski, B., Liyanage, M., & Wang, S. (2024). A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions. IEEE Communications Surveys and Tutorials. doi:10.1109/COMST.2024.3437248
Sandeepa, C., Siniarski, B., Wang, S., & Liyanage, M. (2024). Rec-Def: A Recommendation-Based Defence Mechanism for Privacy Preservation in Federated Learning Systems. IEEE Transactions on Consumer Electronics, 70(1), 2716-2728. doi:10.1109/TCE.2023.3333560
Sandeepa, C., Siniarski, B., Kourtellis, N., Wang, S., & Liyanage, M. (2024). A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks. ACM Computing Surveys, 56(10). doi:10.1145/3662179
- Available Online
Professor Barry Smyth
Hagemann, N., O’Mahony, M. P., & Smyth, B. (2023). Visual Module Exploration: A Live-User Evaluation. KI - Kunstliche Intelligenz, 37(2-4), 213-225. doi:10.1007/s13218-023-00800-1
- Available Online
Mr Andrés L. Suárez-Cetrulo
Rakholia, R., Suarez-Cetrulo, A. L., Singh, M., & Simon Carbajo, R. (2024). Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges, and Future Direction. IEEE Access, 12, 131621-131637. doi:10.1109/ACCESS.2024.3458830
- Available Online
Dr Kata Szita
Szita, K., Moss-Wellington, W., Sun, X., & Ch'ng, E. (2024). Going to the movies in VR: Virtual reality cinemas as alternatives to in-person co-viewing. International Journal of Human Computer Studies, 181. doi:10.1016/j.ijhcs.2023.103150
Szita, K., & Rooney, B. (2024). Smartphone spectatorship in unenclosed environments: The physiological impacts of visual and sonic distraction during movie watching on mobile devices. Entertainment Computing, 48. doi:10.1016/j.entcom.2023.100598
- Available Online
Dr Hadi Tabatabaee
Elahi, F., Fazlali, M., Malazi, H. T., & Elahi, M. (2024). Parallel Fractional Stochastic Gradient Descent With Adaptive Learning for Recommender Systems. IEEE Transactions on Parallel and Distributed Systems, 35(3), 470-483. doi:10.1109/TPDS.2022.3185212
- Available Online
Assoc Professor Tony Veale
Despot, K., Anic, A. O., & Veale, T. (2023). Somewhere along your pedigree, a bitch got over the wall! A proposal of implicitly offensive language typology. Lodz Papers in Pragmatics, 19(2), 385-414. doi:10.1515/lpp-2023-0019
- Available Online
Dr Anthony Ventresque
Tao, N., Ventresque, A., Nallur, V., & Saber, T. (2024). Enhancing Program Synthesis with Large Language Models Using Many-Objective Grammar-Guided Genetic Programming. Algorithms, 17(7). doi:10.3390/a17070287
- Available Online
Dr Shen Wang
Guo, J., Cheng, L., & Wang, S. (2023). CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles Using Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems, 24(10), 10501-10512. doi:10.1109/TITS.2023.3276416
Wang, S., Qureshi, M. A., Miralles-Pechuan, L., Huynh-The, T., Gadekallu, T. R., & Liyanage, M. (2024). Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges. IEEE Open Journal of the Communications Society, 5, 2490-2540. doi:10.1109/OJCOMS.2024.3386872
Perera, L., Ranaweera, P., Kusaladharma, S., Wang, S., & Liyanage, M. (2024). A Survey on Blockchain for Dynamic Spectrum Sharing. IEEE Open Journal of the Communications Society, 5, 1753-1802. doi:10.1109/OJCOMS.2024.3376233
Senevirathna, T., La, V. H., Marchal, S., Siniarski, B., Liyanage, M., & Wang, S. (2024). A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions. IEEE Communications Surveys and Tutorials. doi:10.1109/COMST.2024.3437248
Yan, Y., Tong, X., & Wang, S. (2024). Clustered Federated Learning in Heterogeneous Environment. IEEE Transactions on Neural Networks and Learning Systems, 35(9), 12796-12809. doi:10.1109/TNNLS.2023.3264740
Sandeepa, C., Siniarski, B., Wang, S., & Liyanage, M. (2024). Rec-Def: A Recommendation-Based Defence Mechanism for Privacy Preservation in Federated Learning Systems. IEEE Transactions on Consumer Electronics, 70(1), 2716-2728. doi:10.1109/TCE.2023.3333560
Sandeepa, C., Siniarski, B., Kourtellis, N., Wang, S., & Liyanage, M. (2024). A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks. ACM Computing Surveys, 56(10). doi:10.1145/3662179
Edoho, M., Mamad, O., Henshall, D. C., Mooney, C., & Wei, L. (2024). Classification System for Predicting Emergent Epilepsy Phenotype in the Intra-amygdala Kainic Acid Mouse Model of Epilepsy. IEEE Transactions on Biomedical Engineering. doi:10.1109/TBME.2024.3481897
Wei, L., Mchugh, J. C., & Mooney, C. (2024). Transfer Learning for the Identification of Paediatric EEGs With Interictal Epileptiform Abnormalities. IEEE Access, 12, 86073-86082. doi:10.1109/ACCESS.2024.3415786
Wei, L., & Mooney, C. (2024). Pediatric and Adolescent Seizure Detection: A Machine Learning Approach Exploring the Influence of Age and Sex in Electroencephalogram Analysis †. BioMedInformatics, 4(1), 796-810. doi:10.3390/biomedinformatics4010044
Edoho, M., Mooney, C., & Wei, L. (2024). AI-Based Electroencephalogram Analysis in Rodent Models of Epilepsy: A Systematic Review. Applied Sciences (Switzerland), 14(16). doi:10.3390/app14167398
| Assoc Professor Georgiana Ifrim | |
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Marcianò, V., Bertuletti, S., Caruso, M., Bonci, T., Alcock, L., Gazit, E., et al. (2024). Discriminating between indoor and outdoor environments during daily living activities using local magnetic field characteristics and machine learning techniques. doi:10.21203/rs.3.rs-3817204/v1 - Available Online |
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| Dr Vivek Nallur | |
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Ramanayake, R., & Nallur, V. (2023). Implementing Pro-social Rule Bending in an Elder-care Robot Environment. doi:10.20944/preprints202310.0788.v1 - Available Online |
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| Assoc Professor Gianluca Pollastri | |
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Meng, D., & Pollastri, G. (2024). PUNCH2: explore the strategy for Intrinsically Disordered Protein predictor. doi:10.1101/2024.10.03.616458 - Available Online |
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| Assoc Professor Mark Scanlon | |
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Zunaidi, M. R., Sayakkara, A., & Scanlon, M. (2024). Systematic Literature Review of EM-SCA Attacks on Encryption. doi:10.36227/techrxiv.170831690.06196196/v1 - Available Online |
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| Professor Catherine Mooney | |
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Edoho, M., Mooney, C., & Wei, L. (n.d.). AI-Based EEG Analysis in Rodent Models of Epilepsy: A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols. doi:10.37766/inplasy2024.7.0108 - Available Online |
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| Ms Lan Wei | |
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Edoho, M., Mooney, C., & Wei, L. (n.d.). AI-Based EEG Analysis in Rodent Models of Epilepsy: A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols. doi:10.37766/inplasy2024.7.0108 - Available Online |
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| Dr Alessandro Ragano | |
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Ragano, A. (2023). NOMAD: Non-Matching Audio Distance [Computer Software]. GitHub, PIP. |
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