Xiaoqi Tan, University of Alberta

Research

Beyond Worst Case Analysis Competitive Analysis Fairness Mechanism Design Online Algorithms Resource Allocation

Latest funding

A Unified Framework for Balancing Robustness, Effectiveness, and Fairness in Online Mechanism Design
NSERC · 2022 · Principal investigator
$87,000
A Unified Framework for Balancing Robustness, Effectiveness, and Fairness in Online Mechanism Design
NSERC · 2022 · Principal investigator
$12,500

A Unified Framework for Balancing Robustness, Effectiveness, and Fairness in Online Mechanism Design

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Tan, Xiaoqi

Keywords: online algorithms; mechanism design; resource allocation; competitive analysis; fairness; beyond worst case analysis

$87,000

A Unified Framework for Balancing Robustness, Effectiveness, and Fairness in Online Mechanism Design

Principal investigatorNSERC2022Discovery Launch Supplement

Principal investigators: Tan, Xiaoqi

$12,500

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their NSERC grant from 2022

Subject: Prospective PhD student: Beyond Worst Case Analysis Dear Professor Tan, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on beyond worst case analysis connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "A Unified Framework for Balancing Robustness, Effectiveness, and Fairness in Online Mechanism Design" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]