Bo An is a Professor in the College of Computing & Data Science, and Co-Director of Artificial Intelligence Research Institute (AI.R) at Nanyang Technological University, Singapore. He received the Ph.D degree in Computer Science from the University of Massachusetts, Amherst. His current research interests include artificial intelligence, multiagent systems, computational game theory, reinforcement learning, and optimization. His research results have been successfully applied to many domains including infrastructure security and e-commerce. He has published over 100 referred papers at AAMAS, IJCAI, AAAI, ICAPS, KDD, UAI, EC, WWW, ICLR, NeurIPS, ICML, JAAMAS, AIJ and ACM/IEEE Transactions. Dr. An was the recipient of the 2010 IFAAMAS Victor Lesser Distinguished Dissertation Award, an Operational Excellence Award from the Commander, First Coast Guard District of the United States, the 2012 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice, and 2018 Nanyang Research Award (Young Investigator). His publications won the Best Innovative Application Paper Award at AAMAS’12, the Innovative Application Award at IAAI’16, and the best paper award at DAI’20. He was invited to give Early Career Spotlight talk at IJCAI’17. He led the team HogRider which won the 2017 Microsoft Collaborative AI Challenge. He was named to IEEE Intelligent Systems' "AI's 10 to Watch" list for 2018. He is PC Co-Chair of AAMAS’20 and will be General Co-Chair of AAMAS’23. He is a member of the editorial board of JAIR and is the Associate Editor of AIJ, JAAMAS, IEEE Intelligent Systems, ACM TAAS, and ACM TIST. He was elected to the board of directors of IFAAMAS, senior member of AAAI, and Distinguished member of ACM.

I am a Professor in the Department of Computer Science and Engineering, and the Director of the Center for Innovation, Technology, and Aging at the University of South Florida (Assistant Professor 2009-2015, Associate Professor 2015-2020, Associate Chair of Graduate Affairs 2018-2020). I was a Visiting Associate Professor at Stanford University from 2016 to 2017. I received his Ph.D. degree in Computer Science from the University of Utah in 2007. Then I had his Postdoctoral training at Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA (2007-2008) and the University of Utah (2008-2009). I initiated the IEEE RAS Technical Committee on Robotic Hands, Grasping, and Manipulation and served as its first co-Chair. I have also served on several editorial boards as an Associate Editor and Senior Editor, including IEEE Transactions on Robotics, IEEE Robotics and Automation Letters (RA-L), ICRA, and IROS.

My research interests are in robotics, machine learning and applied nonlinear control. They encompass robot learning and control, object grasping and manipulation, human-robot interaction, robotic hand and tactile sensing, and neuroscience. I am particularly interested in finding the deep connections between dynamics of intelligent systems and learning algorithms (learning from humans or from optimizations), which enables adaptive, efficient and robust control design for complex systems. The goal of my research is to enable robots to perform skills with the level of dexterity and flexibility that humans demonstrate in similar tasks. I am also particularlly interested in finding the novel application of robotic grasping and manipulation in the real world. Short Bio: Before joining Wuhan University as an associate professor, I was a PhD student at the Learning Algorithms and Systems Laboratory (LASA) at EPFL in Switzerland, with Professor Aude Billard, working on dynamic grasp adaptation- from humans to robots. Before that, I spent several years of my undergraduate and graduate studies at Huazhong University of Science and Technology, China.

Yang Yu is a Professor in the School of Artificial Intelligence, Nanjing University, China. His research interest is in machine learning, focusing on real-world reinforcement learning and general intelligence for decision-making. He has published more than 40 papers in Artificial Intelligence, TPAMI, TKDE, NeurIPS, IJCAI, AAAI, KDD, etc. He has been granted several conference best paper awards including IDEAL'16, GECCO'11 (theory track), PAKDD'08, etc. He was in the Champion Team of 2021 ICAPS L2RPN Challenge with Trust, 2018 OpenAI RetroContest, and the Grand Champion Team of PAKDD 2006 Data Mining Competition. He received CCF-IEEE Early Career Award in 2020, was recognized as one of the “AI’s 10 to Watch” by IEEE Intelligent Systems in 2018, and received the PAKDD Early Career Award in 2018. He was invited to give an Early Career Spotlight Talk in IJCAI'18. He has served as an Area Chair of NeurIPS, IJCAI, AAAI, and ACML for multiple years. He was a Publicity Co-chair of IJCAI'16/17 and IEEE ICDM'16; a Workshop Co-chair of ACML'16 and PRICAI’18. He co-founded the International Conference on Distributed Artificial Intelligence (DAI) and the Asian Workshop on Reinforcement Learning (AWRL).