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Umair ul Hassan


Dr Umair ul Hassan is Assistant Professor of Business Analytics & Society in J.E. Cairnes School of Business & Economics at University of Galway, where he also serves as Programme Director for MSc (Information Systems Management).

Previously, he has worked as Assistant Professor at Maynooth University and Research Fellow in LERO and Insight Centre for Data Analytics at the University of Galway where he was Principal Investigator for the SHAREPAIR project. He has also worked on several research and innovation projects funded by the European Commission, Enterprise Ireland, and Science Foundation Ireland, including but not limited to Big Data Value Ecosystem (BDVe), Transforming Transport (TT), ICT for Water Resource Management (Waternomics), and Big data roadmap and cross-disciplinarY community for addressing socieTal Externalities (BYTE).

Umair’s research focuses on design, development, and study of information systems, that use technologies such as collective computing, artificial intelligence, dataspaces, and semantic web, to solve interesting business problems and to address societal challenges.

Types of projects he is looking to supervise:
Technical research that involves design, implementation, and evaluation of algorithm approaches to data sharing and interoperability
Analytical research that studies the decision or game theoretic aspects of data governance and ecosystems
Empirical research that studies the design elements and use of data management systems”

Research Areas:

• Data-centric AI, Data Spaces, Human-AI Collaboration, Collective Computing
• Led the team focused on research and development collaboration tools for Data Science.
• Led and contributed to several research and innovation projects funded by European Commission, Science Foundation Ireland, and Enterprise Ireland
• Industry collaborations with Siemens, ATOS, SAP, Schneider Electric, Trilateral Research
• Publications in top-tier journals and conferences in areas of Artificial Intelligence, Knowledge Management, Information Systems, Semantic Web, and Natural Language Processing