IBM Neuro-Symbolic AI Workshop 2022     

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IBM Neuro-Symbolic AI Workshop 2022 - Organizers


Alex Alexander Gray
IBM Research 

Alexander Gray serves as VP of Foundations of AI at IBM, and currently leads IBM’s Neuro-Symbolic AI Theme (distinct from the work in the MIT-IBM Lab). He received AB degrees in Applied Mathematics and Computer Science from UC Berkeley and a PhD in Computer Science from Carnegie Mellon University. BeforeIBM he worked at NASA, served as a tenured Associate Professor at the Georgia Institute of Technology, and co-founded and sold an AI startup in Silicon Valley. His work on machine learning, statistics, and algorithms for massive datasets, predating the movement of "big data" in industry, has been honored with a number of research awards including the NSF CAREER Award, multiple best paper awards, selection as a National Academy of Sciences Kavli Scholar, and service as a member of the 2010 National Academy of Sciences Committee on the Analysis of Massive Data. His current interests generally revolve around the injection of non-mainstream ideas into ML/AI to attempt to break through long-standing bottlenecks of the field.
FR Francesca Rossi
IBM Research 

Francesca Rossi is an IBM fellow and the IBM AI Ethics Global Leader. She works at the T.J. Watson IBM Research Lab, New York.
Her research interests focus on artificial intelligence, specifically they include constraint reasoning, preferences, multi-agent systems, computational social choice, and collective decision making. She is also interested in ethical issues in the development and behaviour of AI systems, in particular for decision support systems for group decision making. She has published over 200 scientific articles in journals and conference proceedings, and as book chapters. She has co-authored a book and she has edited 17 volumes, between conference proceedings, collections of contributions, special issues of journals, and a handbook. She is a fellow of both the worldwide association of AI (AAAI) and of the European one (EurAI). She has been president of IJCAI (International Joint Conference on AI), an executive councillor of AAAI, and the Editor in Chief of the Journal of AI Research. She is a member of the scientific advisory board of the Future of Life Institute (Cambridge, USA) and a deputy director of the Leverhulme Centre for the Future of Intelligence (Cambridge, UK). She is in the executive committee of the IEEE global initiative on ethical considerations on the development of autonomous and intelligent systems and she is a member of the board of directors of the Partnership on AI, where she represents IBM as one of the founding partners. She has been a member of the European Commission High Level Expert Group on AI and the general chair of the AAAI 2020 conference. She is a member of the Responsible AI working group of the Global Partnership on AI and the industry representative in its Steering Committee. She will be the AAAI President in 2022-2024.
MC Murray Campbell
IBM Research 

Murray Campbell is a Distinguished Research Scientist in artificial intelligence at the IBM T. J. Watson Research Center. He received his B.Sc. and M.Sc. in computing science from the University of Alberta, and his Ph.D. in computer science from Carnegie Mellon University. He was a member of the IBM team that developed Deep Blue, which was the first computer to defeat the human world chess champion in a match. He received numerous awards for Deep Blue, including the Allen Newell Medal for Research Excellence and the Fredkin Prize. He is an ACM Distinguished Scientist and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI).
LH Lior Horesh
IBM Research 

Dr. Lior Horesh is a Principal Research Staff Member, Master Inventor and a Senior Manager of the ‎Mathematics of AI group at IBM Research. His group’s mission is to approach some of the big ‎challenges the field of AI is facing, from a principled mathematical angle. This involves both conceiving ‎and bringing in state-of-the-art mathematical theories, algorithms and analysis tools, in hope of ‎advancing fundamentally generalizability, scalability and interpretability of AI. Additionally, Dr. Horesh ‎holds an adjunct Associate Professor position at the Computer Science department of Columbia ‎University where he teaches graduate level Advanced Machine Learning and Quantum Computing ‎courses. Dr. Horesh Received his Ph.D. in 2006 from UCL and joined IBM in 2009. Dr. Horesh's research ‎work focuses on algorithmic and theoretical aspects of tensor algebra, numerical analysis, simulation ‎of complex systems, inverse problems, non-linear optimization, experimental design, machine learning, quantum ‎computing and the interplay between first principles models and AI in the context of symbolic scientific discovery.
AM Asim Munawar
IBM Research 

Dr. Asim Munawar is a Program Director of Neuro-Symbolic AI at IBM Research. Dr. Munawar received his PhD from Hokkaido University in evolutionary algorithms. He joined IBM Research in 2012 and has been working in the field of deep learning since 2013. Dr. Munawar has actively participated in and led several deep learning-related research projects. He has also been involved in customer engagement in computer vision, robotics, and acoustic analysis. His main research interest is the creation of next-generation AI by combining symbolic and learning-based methods. He is also interested in neuromorphic computing to better mimic the human brain, as well as reinforcement learning algorithms for the training of networks from weak reward signals. Dr. Munawar has over 50 publications in international journals and peer-reviewed conferences.