Xiaoqi Tan
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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 (My name is pronounced as “Shiao-Chee”)

Biography

I am currently a Postdoc at the Dept. of Electrical & Computer Engineering, University of Toronto, hosted by Prof. Alberto Leon-Garcia. Prior to my current position, I received my Ph.D. in Electronic and Computer Engineering from Hong Kong University of Science and Technology, advised by Prof. Danny H.K. Tsang. From Oct. 2015 to April 2016, I was also affiliated with the School of Engineering and Applied Science, Harvard University, hosted by Prof. Na Li.

Research Interests

I work on the algorithmic aspects of the interdisciplinary area between networking, energy and economics. Current topics of interest include

  • online algorithms for optimization, mechanism design, and machine learning.

  • network economics: pricing, auctions, and algorithmic game theory.

  • networking: cloud and edge/fog computing, network resource allocation.

  • energy systems: transactive energy, electric vehicle charging, and electricity markets.

Selected Papers (Full List and Google Scholar)

  • X. Tan, A. Leon-Garcia, Y. Wu, and D.H.K. Tsang, “Online Combinatorial Auctions for Resource Allocation with Supply Costs and Capacity Limits”, preprint. Earlier version appeared in ACM Sigmetrics Workshop on MAMA in 2019.

  • X. Tan, A. Leon-Garcia, B. Sun and D.H.K. Tsang, “Agent-based Real-time Demand-Side Flexibility Management”, preprint. Extended abstract appeared in ACM e-Energy in 2019.

  • X. Tan, A. Leon-Garcia, Y. Wu, and D.H.K. Tsang, “Posted-Price Retailing of Transactive Energy: An Optimal Online Mechanism without Prediction”, preprint.

  • S. Wang, X. Tan, T. Liu, and D.H.K. Tsang, “Aggregation of Demand-Side Flexibility in Electricity Markets: Negative Impact Analysis and Mitigation Method”, preprint.