Xiaoqi Tan, PhD

Area of Study / Keywords

systems and theory decision-making under uncertainty artificial intelligence online optimization algorithmic game theory energy sustainability

Research

Xiaoqi Tan’s research lies broadly at the intersection of systems and theory. He develops algorithms with provable guarantees to optimize decision-making under uncertainty and possibly strategic behaviors, using tools and insights from optimization, machine learning, economics, and operations research. On the applied side, his research aims to address environmental and economic sustainability challenges across various domains, including energy, transportation, and networking.

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.