Prof. Björn Schuller

Fellow of IEEE & ACM, Imperial College London, UK

Brief Introduction: Björn Schuller received the Ph.D. and Habilitation degrees in electrical engineering and information technology from the Technical University of Munich (TUM), Munich, Germany, in 2006 and 2012, respectively. He is currently a Full Professor and the Head of the Chair of Health Informatics, TUM, and a Professor in artificial intelligence with the Department of Computing, Imperial College London, U.K. He has coauthored seven books and more than 1 000 publications in peer-reviewed books, journals, and conference proceedings leading to more than 61 200 citations (H-index = 109). He is a Fellow of the ACM, Fellow of the IEEE and Golden Core Awardee of the IEEE Computer Society, Fellow of the BCS, Fellow of the ELLIS, Fellow of the ISCA, Fellow and President-Emeritus of the AAAC, and Elected Full Member Sigma Xi. He (co-)authored 1,400+ publications (60,000+ citations, h-index=110 ranking him number 8 in the UK for Computer Science), is Field Chief Editor of Frontiers in Digital Health and was Editor in Chief of the IEEE Transactions on Affective Computing amongst manifold further commitments and service to the community. His 50+ awards include having been honoured as one of 40 extraordinary scientists under the age of 40 by the WEF in 2015. Currently, he was awarded IEEE Signal Processing Society Distinguished Lecturer 2024. He served as Coordinator/PI in 20+ European Projects, is an ERC Starting and DFG Reinhart-Koselleck Grantee, and consultant of companies such as Barclays, GN, Huawei, Informetis, or Samsung. Schuller counts more than 300 public press appearances including in Business Insider, Guardian, International Business Times, Newsweek, Scientific American, Times, The Economist 1843, UK Daily Mail, and national and international podcast, radio, and television contributions such as in MIT Technology Review and “The World” and “The Why”.

Prof. Roman Słowiński

IEEE Fellow, Poznań University of Technology, Poland

Brief Introduction: Roman Słowiński is a Professor and Founding Chair of the Laboratory of Intelligent Decision Support Systems at the Institute of Computing Science, Poznań University of Technology, Poland. Since 2003 he is also Professor at the Systems Research Institute of the Polish Academy of Sciences in Warsaw. He is a Vice President of the Polish Academy of Sciences (2019-2022) and a Full Member of this Academy. He has been president of the Poznań Branch of the Polish Academy of Sciences in years 2011-2018. In years 2016-2019 he was also chairing the Committee on Informatics of the Polish Academy of Sciences. Since 2013 he is a member of the Informatics Section of Academia Europaea. Roman Słowiński has conducted extensive research on methodology and techniques of intelligent decision support where he combines Operational Research and Artificial Intelligence. His particular interest is focused on: addressing robustness issues in decision analysis; ordinal data mining; preference learning; modeling of uncertainty and imprecision in decision problems; rough set theory; fuzzy set theory; evolutionary multiobjective optimization; project scheduling, including multiple category resources, multiple job modes, multiple criteria and uncertainty; decision support in medicine, technology, economics and environmental studies. As author, co-author or editor, he has published 16 books and more than 500 articles, including 300 papers in major scientific journals (Web of Science h-index=63, Scopus h-index=67, Google Scholar h-index=90). He advised 27 Ph.D. theses in Operational Research and Computer Science; his 16 former PhD students are professors in academia.