56 min
WashU's William Yeoh on Fairness in Ride-Sharing Apps The Prepare.ai Podcast
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- Technology
William Yeoh is an associate professor in the Department of Computer Science and Engineering and a co-director of the Division of Computational and Data Sciences at Washington University in St. Louis. His research interests are in optimization, heuristic search, and planning under uncertainty, especially in the context of multi-agent systems. He is an NSF CAREER recipient and was named in IEEE's AI's 10-to-Watch list in 2015. He currently serves on the editorial board of the Artificial Intelligence Journal, on the International Foundation for Autonomous Agents and Multiagent Systems Board of Directors, and on the Symposium on Combinatorial Search Council. He has served on the committees of numerous AI-related conferences including AAAI, AAMAS, ICAPS, and IJCAI. He was also a conference co-chair of the 2019 Symposium of Combinatorial Search (SoCS 2019) and is a program co-chair of the 2022 International Conference on Automated Planning and Scheduling (ICAPS 2022).
William Yeoh is an associate professor in the Department of Computer Science and Engineering and a co-director of the Division of Computational and Data Sciences at Washington University in St. Louis. His research interests are in optimization, heuristic search, and planning under uncertainty, especially in the context of multi-agent systems. He is an NSF CAREER recipient and was named in IEEE's AI's 10-to-Watch list in 2015. He currently serves on the editorial board of the Artificial Intelligence Journal, on the International Foundation for Autonomous Agents and Multiagent Systems Board of Directors, and on the Symposium on Combinatorial Search Council. He has served on the committees of numerous AI-related conferences including AAAI, AAMAS, ICAPS, and IJCAI. He was also a conference co-chair of the 2019 Symposium of Combinatorial Search (SoCS 2019) and is a program co-chair of the 2022 International Conference on Automated Planning and Scheduling (ICAPS 2022).
56 min