Kobi Gal elected fellow of the European Association for Artificial Intelligence
Kobi Gal, reader in Artificial Intelligence and Human-Machine Intelligence at the School of Informatics, has been elected a 2022 EurAI Fellow by the European Association for Artificial Intelligence (EurAI) for his contributions promoting AI research in Europe.
EurAI was established in July 1982 as a representative body for the European Artificial Intelligence community. Its aim is to promote the study, research and application of Artificial Intelligence in Europe.
The Fellows Program recognises individuals who have made significant, sustained contributions to the field of artificial intelligence (AI) in Europe, fellows are selected from the top 3% AI researchers in Europe. Only current members of an EurAI member organisation, who have made contributions to AI for a decade or more after receiving their PhD (or are at an equivalent career stage) are selected. Nominations are made by an EurAI member society or two EurAI Fellows.
About Kobi Gal
Kobi Gal is Reader in the School of Informatics and professor in the Faculty of Engineering at Ben-Gurion University. He received his PhD in Computer Science from Harvard University.
Gal’s contributions to AI research in multi-agent collaboration, human-computer decision-making and intelligent user interfaces include novel representations and algorithms for autonomous decision-making in heterogeneous groups comprising people and computational agents and the design of AI technologies for addressing real world problems in such domains as education, citizen science, participatory democracy, and negotiation.
Gal is the recipient of the Wolf foundation's 2013 Krill prize for young Israeli scientists, a Marie Curie International fellowship, and a three-time recipient of Harvard University's outstanding teacher award. He was appointed a Senior Member of the Association for the Advancement of Artificial Intelligence in 2020. He has received best paper awards at ACM Conference on User Modeling Adaptation and Personalization 2019 (UMAP-19), ACM conference on Economics and Computation 2016 (EC-16) and Educational Data Mining 2014 (EDM-14). He is an Associate Editor of the IEEE Transactions on Learning Technologies (TLT) and a member of the Editorial Board of the Journal of Artificial Intelligence (JAIR).