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€7 million joint investment announced for US-Ireland Research Programme

Tuesday, 18 March, 2025

UCD Researchers awarded over €4m in ERC grants for Biomedical Engineering projects
Prof Niamh Nowlan, Full Professor of Biomedical Engineering at UCD School of Mechanical and Materials Engineering and a fellow of the Conway Institute, is lead applicant on one of the new US-Ireland Research Programme projects.

18th March 2025: A joint funding investment of over €7 million was announced today through the US-Ireland R&D Partnership Programme. This tripartite research and development (R&D) partnership between the United States of America (USA), the Republic of Ireland (RoI) and Northern Ireland (NI) increases collaborations among researchers and industry across the three jurisdictions. 

Four awards have been funded under the programme, spanning 10 higher education institutions and supporting approximately 20 research positions. The projects funded include research on communications networks and healthcare.

Since its launch in 2006, the US-Ireland R&D Partnership has funded 98 partnership projects with a combined government investment of €158 million. This unique funding initiative aims to increase collaborative R&D, generating valuable discoveries and innovations.

The funding agencies involved in today’s announcement are Research Ireland and the Health Research Board (HRB) in RoI, the Department for the Economy (DFE) and the Health & Social Care R&D Division (HSC R&D) in NI, and the National Science Foundation (NSF) and the National Institutes of Health (NIH) in the USA.

Celine FitzGerald, Interim CEO of Research Ireland, said: “Research Ireland congratulates the US-Ireland R&D Partnership Programme award recipients - their innovative projects in the areas of healthcare and telecommunications will provide mutual benefit to societies and economies across all three jurisdictions. Strong international research partnerships are vital to address the global challenges of our time. Through this significant tri-partite investment, the US-Ireland R&D Partnership continues supporting and encouraging world-class, impactful, collaborative research projects between our countries.”

“The US-Ireland R&D Partnership Program provides a unique opportunity to advance world-class technological innovations,” said NSF Director Sethuraman Panchanathan. “Working together, we are furthering a global ecosystem of innovation — one that not only responds to today’s challenges but anticipates the needs of tomorrow.”

Mark Lee, Director of Higher Education at Northern Ireland’s Department for the Economy, said “International research collaborations are key to building a strong research and innovation landscape in Northern Ireland to deliver on the Economy Minister’s vision of a regionally balanced, net zero economy which supports good jobs and higher productivity. The US Ireland R&D Partnership is an important flagship programme bringing world-class researchers together across the north and south of Ireland and the US to collaborate on ground-breaking scientific research that delivers benefits for all.”

Mairead O’Driscoll, CEO of the Health Research Board, said: “Collaboration is key when tackling grand challenges with health. The US-Ireland R&D Partnership Programme funds essential research to improve health and advance care for people throughout Ireland, Northern Ireland and the United States.”

The 10 collaborating institutions are: South East Technological University (SETU), Teagasc, University College Dublin (UCD) and University College Cork (UCC) in the Republic of Ireland; Queen’s University Belfast (QUB) and Ulster University (UU) in Northern Ireland; and Virginia Tech, University of California Los Angeles (UCLA), University of Pennsylvania and Rochester Institute of Technology in the United States.

For more information about the US-Ireland R&D Partnership Programme, visit the (opens in a new window)programme webpage.

US-Ireland R&D Programme project details:

Project title and award details

Summary

Title: Effects of Maternal Exercise on Fetal Akinesia-Impaired Bone and Joint Development

Lead applicant: Niamh Nowlan

Co-applicants: Gareth Davison & Joel Boerckel

Lead RoI institution: University College Dublin

Value of award:

RoI: €907,950

NI: £523064

US: $513183

Partner Institutions: Ulster University & University of Pennsylvania

Mechanical forces exerted by foetal movement during development influence skeletal morphogenesis. Fetal akinesia (insufficient movement), caused by low amniotic fluid volume, breech position or impaired muscle development, can cause skeletal disorders such as hip dysplasia, arthrogryposis, and impaired bone development. The latest findings by this group of applicants suggest that maternal exercise could serve as a therapeutic intervention. To accomplish this, there is a need to understand when and how maternal exercise rescues akinesia-impaired bone and joint development. This proposal aims to determine the cells that respond to timed maternal exercise during akinesia-impaired limb development and to define the underlying signalling mechanisms. This will provide new insights into fetal akinesia and potentially identify maternal exercise as a therapeutic intervention.

Title: Discriminative Adversarial Networks that are Generic, Efficient, and Robust for IoT Malware Detection (DANGER-IoT)

Lead applicant: Utz Roedig

Co-applicants: Niall McLaughlin & Matthew Wright

Lead RoI institution: University College Cork

Value of award:

RoI: €447,567

NI: £278232

US: $600,000

Partner Institutions: Queen’s University Belfast & Rochester Institute of Technology

This project is focused on detecting malware on ‘internet of things’ (IoT) devices (e.g. sensors, actuators, appliances and machines). Malware detection on traditional PCs, servers and mobile devices is relatively mature, with solutions based on machine learning having become the industry standard. These solutions cannot be directly applied to IoT devices due to the devices being very heterogeneous in type and having low power requirements, among other reasons. Existing malware models are also vulnerable to adversarial evasion attacks – where carefully crafted inputs are fed in that can confuse/fool even state-of-the-art malware models. Discriminative Adversarial Networks that are General, Efficient, and Robust for IoT Malware Detection (DANGER-IoT) will build upon the success of previous work by researchers to create the first generation of malware detection models that are practical and effective for IoT systems.

Title: Fungibility in Mobile Networks for Resilient 6G

Lead applicant: Indrakshi Dey

Co-applicants: Michalis Matthaiou & Joao Santos

Lead RoI institution: South East Technological University

Value of award:

RoI: €451,814

NI: £299,876

US: $552.893

Partner Institutions: Queens University Belfast & Virginia Tech

This proposal is focused on transforming resilience in the next generation (6G) of mobile networks. It addresses the concept of ‘fungibility’ - where networks are capable of reallocating internal resources in response to changes, such as the loss of function of one part of the network (e.g. due to a cyberattack). The research is focused on three main areas: fungibility of algorithms and resources/components within networks, security of future radio access technologies (which are the underlying physical connection methods for any given communications network), and the ‘topology’ of mobile networks – their ability to reconfigure or adapt their physical or logical structure without significant disruption in function or performance.

Title: MAEVE: Microbiota mediated flavonoid metabolites for cognitive health

Lead applicant: Catherine Stanton

Co-applicants: Chris Gill & Arpana Gupta

Lead RoI institution: Teagasc

Value of award:

RoI: €908,996

NI: £459,256

US: $1,563,756

Partner Institutions: Ulster University & University of California Los Angeles

The proposal aims to test the hypothesis that a high dietary intake of polyphenols (PPs) by elderly subjects with enhanced Alzheimer’s disease risk would maintain healthier brain and cognitive functions as well as have beneficial gut microbiota effects. The potential impact of dietary PPs is proposed to be assessed using multiple approaches such as animal models, imaging, assessment of cognitive function and inflammatory status as well as profiling of the gut microbiome and its metabolites. 

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