Xiaoqi Tan, PhD
Contact
Assistant Professor, Faculty of Science - Computing Science
- xt7@ualberta.ca
- Address
-
3-03 Athabasca Hall
9119 116 St NWEdmonton ABT6G 2E8
Overview
Area of Study / Keywords
Algorithms Decision-making under uncertainty Online algorithms Algorithmic economics
Research
Xiaoqi Tan’s research focuses on algorithms and decision-making under uncertainty (course), and their role in systems and networks shaped by dynamics and strategic behavior. His current research focuses on two key challenges in algorithm design: (i) making sequential decisions without access to the full input in advance (online algorithms), and (ii) managing and allocating resources, incentives, and interactions in economic settings while ensuring computational feasibility and performance guarantees (algorithmic economics).
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.
Announcements
The SODALab@UofA is constantly looking for highly motivated graduate students at both the MSc and PhD level. For more details, read Xiaoqi's Letter to Prospective Students first before reaching out.
Courses
CMPUT 204 - Algorithms I
The first of two courses on algorithm design and analysis, with emphasis on fundamentals of searching, sorting, and graph algorithms. Examples include divide and conquer, dynamic programming, greedy methods, backtracking, and local search methods, together with analysis techniques to estimate program efficiency. Prerequisites: CMPUT 175 or 275, and CMPUT 272; and one of MATH 100, 114, 117, 134, 144, or 154.