Biography of Xiaoqi Tan

Xiaoqi Tan is an Assistant Professor in the Dept. of Computing Science at the University of Alberta and a Fellow of Alberta Machine Intelligence Institute (Amii). Prior to July 2021, he was a Postdoctoral Fellow at the University of Toronto. He received his Ph.D. from HKUST in 2018. During his Ph.D., he was also a visiting research fellow at the School of Engineering and Applied Science, Harvard University.

Xiaoqi’s research focuses on developing algorithms for decision-making under uncertainty. His current work centers on algorithm design problems, particularly in resource allocation, that involve two key types of uncertainty: (i) the need to make sequential decisions before the full input is revealed, and (ii) the private, unknown preferences of strategic agents. Xiaoqi is a member of ACM, INFORMS, and IEEE. He has acted as technical reviewer for CS/OR journals such as Journal of Artificial Intelligence Research, Management Science, Stochastic Systems, Transportation Research (Part B), Performance Evaluation, European Journal of Operations Research, and Computers & Operations Research. He is also a frequent reviewer for IEEE journals including IEEE/ACM Transactions on Networking (ToN), IEEE Transactions on Automatic Control (TAC), IEEE Journal on Selected Areas in Communications (JSAC), IEEE Transactions on Power Systems (TPS), IEEE Transactions on Smart Grid (TSG), and IEEE Transactions on Intelligent Transportation Systems (TITS).