Xiaoqi Tan's Homepage

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Postdoctoral Fellow
Electrical & Computer Engineering,
University of Toronto

Bahen Centre for Information Technology, Room 7137
40 St. George Street, Toronto, Ontario M5S 2E4, Canada

Email: x.y\({\text{[at]}}\)utoronto.ca, where x=xiaoqi, y=tan


I am currently a Postdoctoral Fellow at the Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, hosted by Professor Alberto Leon-Garcia. I received my Ph.D. degree from the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, in Jan. 2018, and my B.Eng. degree with First Class Honor from the Department of Information Engineering, Xi'an Jiaotong University, Xi'an, China, in 2012. From Oct. 2015 to May 2016, I was a visiting research fellow in the School of Engineering and Applied Science, Harvard University, Cambridge, MA, USA.


  • Sequential Decision Making. Sequential decision making is concerned about designing algorithms that take the dynamics of the world into consideration, and thus enable intelligent agents to take appropriate actions where earlier decisions influences the later ones. Key theoretic frameworks to studying sequential decision making under uncertainty include Markov decision process, reinforcement learning and approximate dynamic programming.

  • Algorithmic Mechanism Design. Algorithmic mechanism design is concerned about designing distributed protocols that will lead to a desired objective despite the existence of self-interested participants or agents. In particular, online mechanism design of multi-agent systems in the presence of uncertainty lies at the intersection of economic game theory and theoretic computer science where analytical tools such as worst-case analysis of online algorithms and approximation algorithms are frequently used.

  • Performance Evaluation. Performance evaluation plays an important role in modeling and analyzing the quality-of- service of real-world service systems subject to uncertainty. The goal is to derive analytical solutions and insight into the design and operation of real-world service systems based on stochastic models including queueing theory and Markov chain, etc.

I am ehusiastic in applying the above techniques to applications that have profound environmental, economic and societal impact, including smart power grids, electric vehicle networks, and urban mobility systems.

For more information about my current research projects, please see Research and Publication.

Latest News

09/2018: Our paper, “Asymptotic Performance Evaluation of Battery Swapping and Charging Station for Electric Vehicles”, appears in the list of Most Downloaded Performance Evaluation Articles.

07/2018: Our paper, “Online Price-based Vehicle-to-Station Recommendations for EV Battery Swapping”, was accepted by IEEE SmartGridComm 2018.

07/2018: Our paper, “Eliciting Multi-dimensional Flexibility from Electric Vehicles: A Mechanism Design Approach”, was accepted by IEEE Transactions on Power Systems.

07/2018: I joined University of Toronto as a Postdoctoral Fellow at the Edward S. Rogers Sr. Department of Electrical & Computer Engineering, hosted by Professor Alberto Leon-Garcia.

06/2018: Our research proposal, “Harnessing Electric Vehicles for Energy Management Optimization in Sustainable Smart Cities”, got funded by Research Grants Council, Hong Kong.

01/2018: I successfully defended my Ph.D. thesis, “Smart Grid with Distributed Energy Storage and Electric Vehicles: Performance Evaluation and Optimization”, on January 5, 2018. My sincere gratitude goes to my supervisor Professor Danny H.K. Tsang.

12/2017: Our paper, “Asymptotic Performance Evaluation of Battery Swapping and Charging Station for Electric Vehicles”, was accepted by Performance Evaluation (Elsevier).

10/2017: Our paper, “Optimal Scheduling of Battery Charging Stations Serving Electric Vehicles Based on Battery Swapping”, was accepted by IEEE Transactions on Smart Grid