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 Tan’s research focuses on optimization and decision-making under uncertainty. He develops new methodologies and applies existing ones from online optimization, algorithmic game theory, and machine learning. On the applied side, his research aims to address environmental and economic sustainability challenges across various domains, including energy, transportation, and communications. 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).