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TU Dublin has core strengths in computer science, data science and machine learning. TU Dublin has been working in the field of Artificial Intelligence for over 20 years, and has been working on developing data driven computational models for clinical decision support for the last 5 years. TU Dublin team has an excellent track record of engaging and partnering with industry and other research partners (at both a national and international level) in data driven model development and validation. TU Dublin is involved in a number of ongoing European research projects, several dealing with the stroke, and in many of them TU Dublin is leading the research on Artificial Intelligence and machine learning. TU Dublin is also involved in several national scale projects where it is bringing its expertise in health and machine learning to lead the development and validation of data driven clinical support systems. The Validate project will be based at the ICE Research Institute in TU Dublin, a dedicated research space supporting over 70 full-time researchers and with access to HPC equipment. Through the ICE research institute the Validate project will be linked in research ecosystem that includes partnerships with research institutions across Ireland, Europe and North America.

Technological University Dublin (TU Dublin) is one of Ireland’s largest universities with over 20,000 students, and over 2,000 members of staff. TU Dublin is a full member of the European University Association (EUA) and the International Association of Universities (IAU), and it ranked in the top 3% of universities worldwide. TU Dublin has extensive research expertise in Artificial Intelligence (AI) and Data Science, with a particular focus on AI for Health. For example, TU Dublin leads the AI and machine learning research in a number of Irish national research programmes, including the Science Foundation Ireland (SFI) ADAPT Centre for AI Driven Digital Content Technology (www.adaptcentre.ie), and the SFI Centre for research training in Digitally Enhance Reality (D-REAL) (https://d-real.ie). TU Dublin has extensive experience in international collaborative research. It is a member of the European University of Technology (EUt+), which is a European university transnational alliance with 8 members from across 8 European countries and over 100,000 students. TU Dublin also has extensive experience in participating in European framework programmes, examples of current EU projects that TU Dublin team are involved in include: PRECISE4Q (https://precise4q.eu), CISC (https://www.ciscproject.eu), and Teaming.AI (https://www.teamingai-project.eu).

TU Dublin will primarily contribute to the clinical model development work within the project, in WP2. Contributing to tasks 2.1-2.5, TU Dublin will lead on task 2.6, monitoring data distribution and model performance shift during clinical validation.

TU Dublin John Kelleher
John Kelleher