SODALab @ UofA (May 2022)

We are the Systems Optimization & Decision Analytics Lab (SODALab) based at the Department of Computing Science, University of Alberta and the Alberta Machine Intelligence Institute (Amii), Edmonton, Canada. We are committed to optimizing complex decision-making in dynamic and multi-agent systems, striving for theoretically-elegant and practically-relevant research at the interface of systems science, artificial intelligence, and economics & computation.

In the SODALab, we view much of the modern world as systems of interacting and possibly strategic, intelligent agents, sharing and competing for limited resources under different forms of dynamics and uncertainty. This is particularly true for high-impact, safety-critical systems (e.g., electrical grids and transportation systems), where multi-agent interactions are ubiquitous, robust performance against uncertainty is crucial, and unexplainable results are undoubtedly less acceptable if not utterly unbearable. This motivates the long-term goal of our research in the SODALab — to create a common set of mathematical tools that can help develop algorithms and market mechanisms, with formal guarantees on performance, robustness and explainability, for optimization and decision-making under uncertainty.


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Contact Us

SODALab@UofA Dr. Xiaoqi Tan
The SODALab
Central Academic Building (CAB) 385,
University of Alberta,
116 St and 85 Ave, Edmonton, Alberta,
Canada T6G 2E8

Email: $ \textsf{contact}@\textsf{sodalab.ca} $
Web: https://sodalab.ca
Xiaoqi Tan
Athabasca Hall (ATH) 303,
Dept. of Computing Science, University of Alberta,
116 St and 85 Ave, Edmonton, Alberta,
Canada T6G 2E8

Email: $ \textsf{xiaoqi.tan}@\textsf{ualberta.ca} $
Web: https://xiaoqitan.org