Haifeng Xu is an assistant professor in the Department of Computer Science at UChicago. He directs the Strategic IntelliGence for Machine Agents (SIGMA) research lab which focuses on designing algorithms/systems that can effectively elicit, process and exploit information, particularly in strategic environments. Haifeng has published more than 55 publications at leading venues on computational economics, machine learning and theoretical computer science, such as EC, ICML, NeurIPS, STOC and SODA. His research has been recognized by multiple awards, including the Google Faculty Research Award, ACM SIGecom Dissertation Award (honorable mention), IFAAMAS Victor Lesser Distinguished Dissertation Award (runner-up), Google PhD fellowship, and multiple best paper awards.

Focus Areas: computational economics, machine learning, multi-agent systems, algorithms

More descriptions:
The following research themes are the recent focus of our research lab. Please refer to our lab’s website for more details.

  • The economics of data/information, including selling, acquiring, and exploiting information
  • Machine learning in multi-agent setups under information asymmetry, incentive conflicts, and deception
  • Resource allocation in adversarial domains, with applications to security and privacy protection

Research

AI & Machine Learning

Foundations and applications of computer algorithms making data-centric models, predictions, and decisions

Theory

The mathematical foundations of computation, including algorithm design, complexity and logic

Labs & Groups

Strategic IntelliGence for Machine Agents (SIGMA) Lab

Haifeng Xu
Develops cutting-edge machine learning and decision making techniques that can excel in uncertain and complex strategic environments, ranging from national...

News & Events

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New 2022-23 CS Faculty Add Expertise in Linguistics, Visualization, Economics, and Data Science Education

Aug 11, 2022
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