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Wray Buntine

Wray Buntine

VinUniversity
Bio:Wray Buntine is Professor at VinUniversity and Director of Computer Science Programs in College of Engineering and Computer Science at VinUniversity. Prior to his current appointment at VinUniversity, Wray Buntine was a full professor, foundation director of the Master of Data Science, and director of the Machine Learning Group at Monash University. Previously, he was conducting research projects at Helsinki Institute for Information Technology, NASA Ames Research Center, University of California, Berkeley, and Google. In the `90s he was involved in a number of startups for both Silicon Valley and Wall Street. Professor Wray is known for his theoretical and applied work and in probabilistic methods for document and text analysis, social networks, data mining and machine learning. More recently he has been heavily involved in medical informatics. He will be general chair for Asian Conference on Machine Learning in Hanoi 2024. He is also co-Editor-in-Chief for the new ACM Transactions on Probabilistic Machine Learning and on several other journal editorial boards, and has been a senior program committee member for premier conferences such as IJCAI, UAI, AAAI, EMNLP, ICLR, ACML and NeurIPS. He has 18 book chapters, 48 journal articles and 81 refereed conference papers, several software products and two patents, with over 13,000 citations and a Google h-index of 49.
William Cohen

William Cohen

Carnegie Mellon University
Bio:William Cohen is a Visiting Professor at Carnegie Mellon University in the Machine Learning Department. He is a past president of the International Machine Learning Society. In the past he has also served as an action editor for the the AI and Machine Learning series of books published by Morgan Claypool, for the journal Machine Learning, the journal Artificial Intelligence, the Journal of Machine Learning Research, and the Journal of Artificial Intelligence Research. He was General Chair for the 2008 International Machine Learning Conference, held July 6-9 at the University of Helsinki, in Finland; Program Co-Chair of the 2006 International Machine Learning Conference; and Co-Chair of the 1994 International Machine Learning Conference. He is a AAAI Fellow, and was a winner of the 2008 the SIGMOD “Test of Time” Award for the most influential SIGMOD paper of 1998, the 2014 SIGIR “Test of Time” Award for the most influential SIGIR paper of 2002-2004, and the 2023 Semantic Web Science Association's Ten-Year Award for the most influential paper of the ISWC-2013 conference. His research interests include include question answering, machine learning for NLP tasks, and neuro-symbolic reasoning, and he has a long-standing interest in statistical relational learning. He holds seven patents related to learning, discovery, information retrieval, and data integration, and is the author of more than 300 publications.
Anthony Cohn

Anthony Cohn

University of Leeds
Bio:Anthony (Tony) Cohn is Professor of Automated Reasoning in the School of Computing, University of Leeds and seconded part-time to the Alan Turing Institute where he is Foundational Models Theme lead. His research interests range from theoretical work on spatial calculi (receiving a KR test-of-time classic paper award in 2020) and spatial ontologies, to cognitive vision, modelling spatial information in the hippocampus, and Decision Support Systems, particularly for the built environment, robotics, and most recently, evaluating the capabilities of Foundation/Frontier models, especially in the area of commonsense reasoning. He is Editor-in-Chief of Spatial Cognition and Computation and was previously Editor-in-chief of the AI journal. He is the recipient of the 2021 Herbert A Simon Cognitive Systems Prize, as well as Distinguished Service Awards from IJCAI and AAAI. He is a Fellow of the Royal Academy of Engineering, and is also a Fellow of the AI societies AAAI, AISB, EurAI and AAIA.
Luc De Raedt

Luc De Raedt

KU Leuven
Bio:Luc De Raedt is currently Director of Leuven.AI, the KU Leuven Institute for AI, full professor of Computer Science at KU Leuven. His research interests are in Artificial Intelligence and Machine Learning as well as their applications. He is well known for his contributions in the areas of learning and reasoning, in particular, for his contributions to neurosymbolic AI, statistical relational AI, probabilistic and inductive programming. He has co-authored over 400 works, including 3 books, 13 papers in Artificial Intelligence (journal), 20 in Machine Learning (journal), and over 50 at core AI conferences such as IJCAI, AAAI and ECAI in addition to about 40 in core machine learning and data mining conferences such as NeurIPS, ICML, KDD, SDM, UAI and ECMLPKDD. He is editor of 7 volumes with Lecture Notes in Computer Science. He has delivered numerous tutorials at major AI and machine learning conferences and events such as IJCAI, the AAAI and NeurIPS.
Sašo Džeroski

Sašo Džeroski

Jozef Stefan International Postgraduate School
Bio:Sašo Džeroski is a scientific councilor (senior researcher) at JSI, full professor at the Jozef Stefan International Postgraduate School, and visiting professor at the European Space Agency. He is a fellow of EurAI, the European Association of AI, in recognition of his “Pioneering Work in the field of AI”. He is a member of the Macedonian Academy of Sciences and Arts and a member of Academia Europea. His work focusses on the topic of Artificial Intelligence for Science. His group has developed machine learning methods that learn explainable models from complex data in the presence of domain knowledge: These include methods for multi-target prediction, semi-supervised and relational learning, and learning from data streams. His group has also developed methods for computational scientific discovery, including methods that learn explainable models of dynamical systems. He participated in two EU-funded projects in the area of systems biology (E.E.T. Pipeline, PHAGOSYS).

Katsumi Inoue

Katsumi Inoue

National Institute of Informatics
Bio:Katsumi Inoue received the Doctor of Engineering degree from Kyoto University in 1993 for studies on abductive and nonmonotonic reasoning. He is currently a Professor of Principles of Informatics Research Division, National Institute of Informatics, and is a Professor of Informatics Program, Graduate Institute for Advanced Studies, SOKENDAI. He is also a Visiting Professor of School of Computing, Tokyo Institute of Technology, a Collaborative Professor of The University of Electro-Communications, a Visiting Professor of The Kyoto College of Graduate Studies for Informatics, and a Visiting Professor of École Centrale de Nantes (France). His research interests are Artificial Intelligence, in particular, Knowledge Representation and Reasoning, Machine Learning and their integration. He has developed several theories, methods, and applications in these fields, resulting in over 300 peer-reviewed papers. In the series of Inductive Logic Programming (ILP) conferences, he was a co-chair of ILP 2015, has served as a Program Committee member 19 times, has (co-)authored 27 papers, and has been awarded best (student) papers in ILP 2010, 2019 and 2022.

Xue Li

Xue Li

University of Edinburgh
Bio:Xue Li is a postdoctoral researcher in the School of Informatics at the University of Edinburgh. She is interested in knowledge representation and in applying automated reasoning to the detection and repair of faulty well-formed formulae. She developed the ABC repair system to automatically repair formal representations. Her team has successfully employed the ABC repair system in case studies modelling game theory, root-cause analysis in system logs, and law modification for autonomous vehicles. In addition to reasoning via symbolic AI methods, she is also interested in natural language inference (NLI). Her team won second place in the ArgMining2022-Shared Task, a worldwide competition on an NLI task. They aided natural language processing (NLP) models with knowledge graphs and performed the best in ruling out a generative AI model, such as GPT. By combining symbolic AI and NLP, she hopes to boost the healthcare of mental health. Therefore, she is studying Psychology part-time.

Denis Mareschal

Denis Mareschal

Birkbeck University of London
Bio:Denis Mareschal is Professor of Psychology and Director of the Centre for Brain and Cognitive Development at Birkbeck University of London. He obtained his first degree from Cambridge in Physics and Theoretical Physics, an MA from McGill in Psychology and AI, and a DPhil from Oxford in Psychology. His research focuses on identifying the mechanisms of learning and development across a broad range of cognitive and perceptual domains in infancy and childhood. He has been awarded a number of international prizes including the Marr Prize (Cognitive Science Society), the Young Investigator Award (International Congress on Infancy), and the Margaret Donaldson Prize (BPS Developmental Section). Recent monographs include Neuroconstructivism: How the Brain Constructs Cognition (OUP), and Educational Neuroscience (Wiley-Blackwell).
Claude Sammut

Claude Sammut

University of New South Wales
Bio:Claude Sammut is a Professor in the School of Computer Science and Engineering, University of New South Wales. His early work on relational learning helped to the lay the foundations for the field ofInductive Logic Programming (ILP). With Donald Michie, he also did pioneering work in Behavioural Cloning. His current research focuses on Machine Learning applications in Robotics. He led the UNSW teams to victory at the RoboCup four-legged robot competitions in 2000, 2001, and 2003, the 2014 and 2015 Standard Platform League, and received the award for best autonomous robot at RoboCup Rescue from 2009 to 2011. He has served on editorial boards of several journals, including the Journal of Machine Learning Research. Sammut was the program and general chair of the 2002 ICML, the general chair of ICML 2007, and the general chair of RoboCup 2019 in Sydney. He is currently co-editor-in-chief of Springer's Encyclopedia of Machine Learning and Data Mining, and a member of the RoboCup Federation's board of trustees.
Ute Schmid

Ute Schmid

University of Bamberg
Bio:Ute Schmid is full professor of Cognitive Systems at University of Bamberg (Germany), director of the Bamberg Center of AI (BaCAI) and on the board of directors of the Bavarian Research Institute for Digital Transformation (bidt). Her research interests are in cognitive AI, interpretable machine learning and inductive programming, knowledge-informed, explainable and interactive machine learning. Application domains of interest are in education, health, and manufacturing. Ute Schmid is fellow of the German Informatics Society and EurAI fellow. For her engagement in supporting women in computer science, she won the Minerva Gender Equality Award of Informatics Europe for her university. Furthermore, since many years she is active in educating the general public about artificial intelligence and is offering workshops for teachers as well as high-school students. For her outreach activities she has been honored with the Rainer-Markgraf-Award.
Ehud Shapiro

Ehud Shapiro

Weizmann Institute of Science
Bio:Ehud Shapiro is an Israeli scientist, entrepreneur, artist, and political activist who is Professor of Computer Science and Biology at the Weizmann Institute of Science. With international reputation, he made fundamental contributions to many scientific disciplines, laying in each a long-term research agenda by asking a novel basic question and offering a first step towards answering it, including how to computerize the process of scientific discovery, by providing an algorithmic interpretation to Karl Popper's methodology of conjectures and refutations; how to automate program debugging, by algorithms for fault localization; how to unify parallel, distributed, and systems programming with a high-level logic-based programming language; how to use the metaverse as a foundation for social networking; how to devise molecular computers that can function as smart programmable drugs; how to uncover the human cell lineage tree, via single-cell genomics; how to support digital democracy, by devising an alternative grassroots architecture to the digital realm. Shapiro was also an internet pioneer, entrepreneur, and a pioneer and proponent of global digital democracy. Shapiro is the founder of the Ba Rock Band and a founder of the Israeli political party “Democratit”. He is a winner of two ERC (European Research Council) Advanced Grants.
Jiajun Wu

Jiajun Wu

Stanford University
Bio:Jiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University, working on computer vision, machine learning, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Wu's research has been recognized through the Young Investigator Programs (YIP) by ONR and by AFOSR, the NSF CAREER award, paper awards and finalists at ICCV, CVPR, SIGGRAPH Asia, CoRL, and IROS, dissertation awards from ACM, AAAI, and MIT, the 2020 Samsung AI Researcher of the Year, and faculty research awards from J.P. Morgan, Samsung, Amazon, and Meta.
Jun Zhu

Jun Zhu

Tsinghua University
Bio:Jun Zhu is a Bosch AI professor in the Department of Computer Science and Technology at Tsinghua University. He is an IEEE/AAAI Fellow. He received the B.E., M.S., and Ph.D. degrees in computer science from Tsinghua University, Beijing, China, in 2005, 2007, and 2009, respectively. He was an Adjunct Faculty and a Post-Doctoral Fellow with the Machine Learning Department, Carnegie Mellon University. His current work involves both the foundations of statistical learning, including theory and algorithms for probabilistic methods, Bayesian methods, adversarial learning and deep learning; and the applications in data mining, computer vision, and multi-media analysis. Prof. Zhu has published over 100 peer-reviewed papers in the prestigious conferences and journals, including ICML, NeurIPS, KDD, JMLR, PAMI, etc. He is an associate editor-in-chief for IEEE Trans. on PAMI, and associate editors for Artificial Intelligence and Acta Automatica Sinica. He regularly served as area chair/senior PC for ICML, NeurIPS, IJCAI, UAI, and AAAI. He was a local co-chair of ICML2014 and workshop co-chair of ICML2021. He is a recipient of Microsoft Fellowship , CCF Distinguished PhD Thesis Award , IEEE Intelligent Systems “AI's 10 to Watch” Award, NSFC Excellent Young Scholar Award, CCF Young Scientist Award, MIT TR35 China, ICME 2018 best paper award, and XPlorer Prize. His work is supported by the National Youth top-notch Talents Program and the “221 Basic Research Plan for Young Talents” at Tsinghua.