Longbo Huang

Dr. Longbo Huang is an Associate Professor at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, Beijing, China. He earned his Ph.D. in Electrical Engineering from the University of Southern California and completed a postdoctoral fellowship in the EECS Department at University of California, Berkeley.

• Research Focus: Decision Intelligence (AI for Decisions), Deep Reinforcement Learning, Online Learning, Stochastic Network Optimization, Distributed Optimization, and Machine Learning.
• Visiting Roles: LIDS Lab (MIT), Chinese University of Hong Kong, Bell-labs France, Microsoft Research Asia (MSRA), Simons Institute for the Theory of Computing (UC Berkeley, Fall 2016).
• Service Roles: Served on 50+ TPCs and 10+ organizing committees for ACM/AI/IEEE conferences, including General Chair for ACM Sigmetrics 2021, TPC Co-Chair for ITC 2022, WiOpt 2020, NetEcon 2020, and editorial board memberships for IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, and IEEE/ACM Transactions on Networking.
• Recognition: Senior member of ACM and IEEE, IEEE ComSoc Distinguished Lecturer, ACM Distinguished Speaker, and 5 best paper nominations/premier recognitions at top-tier conferences.