Xiaoqi Tan, PhD

Area of Study / Keywords

optimization decision-making under uncertainty online algorithms mechanism design economics & computation artificial intelligence

Research

Xiaoqi Tan’s research focuses on optimization and decision-making under uncertainty, using tools and insights from computer science, economics, and operations research. On the practical side, Xiaoqi is also interested in developing new algorithmic and computational tools to address societal challenges across various fields, including energy grids and markets, shared mobility, Internet advertising, cloud computing, network optimization, and beyond.

For more details about Xiaoqi’s research, or if you are interested in joining his lab as an undergraduate, graduate, or postdoc, see his SODALab page: https://sodalab.ca.

The SODALab@UofA is constantly looking for highly motivated graduate students at both the MSc and PhD level. If you are already at UofA and want to join us, feel free to email your CV to Xiaoqi. For prospective students who are not currently enrolled at UofA, read Xiaoqi's Letter to Prospective Students first before reaching out.

CMPUT 499 - Topics in Computing Science

This topics course is designed for a one on one individual study course between a student and an instructor. Prerequisites are determined by the instructor in the course outline. See Note (3) above.

CMPUT 605 - Topics in Computing Science

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