Xiaoqi TanAssistant Professor
Department of Computing Science
University of Alberta
Office: Athabasca Hall 303
Email: xiaoqi.tan$\textsf{@}$ualberta.ca
Xiaoqi Tan is an Assistant Professor 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 mathematical models and algorithms for optimization and decision-making under uncertainty. Specifically, his work addresses resource allocation problems characterized by (i) the need to make sequential decisions before the full input is known and (ii) the private and unknown preferences of strategic agents. Real-world examples of such resources include slots in online advertising, distributed energy resources in electrical grids, CPU and memory in cloud computing, and bandwidth in networks.
For more details about Xiaoqi’s research, see his SODALab page. For information on joining his lab as an undergraduate, graduate, or postdoc, see here.