Hau Chan
Scholar

Hau Chan

Google Scholar ID: R1w52RIAAAAJ
Assistant Professor, University of Nebraska-Lincoln
AI for societyAI for social goodgame theorymechanism designmachine learning
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Citations & Impact
All-time
Citations
1,139
 
H-index
18
 
i10-index
28
 
Publications
20
 
Co-authors
31
list available
Contact
No contact links provided.
Publications
8 items
Large Language Models for Designing Participatory Budgeting Rules
2026
Cited
0
Obnoxious Facility Location Problems: Strategyproof Mechanisms Optimizing $L_p$-Aggregated Utilities and Costs
2025
Cited
0
Centralized Group Equitability and Individual Envy-Freeness in the Allocation of Indivisible Items
2025
Cited
0
Strategyproof Mechanisms for Facility Location with Prediction Under the Maximum Cost Objective
2025
Cited
0
RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models
2025
Cited
0
Distance Preservation Games
2025
Cited
0
CARE: Compatibility-Aware Incentive Mechanisms for Federated Learning with Budgeted Requesters
2025
Cited
0
Large Language Models for Multi-Facility Location Mechanism Design
2025
Cited
0
Resume (English only)
Academic Achievements
  • Early Career Spotlight, 31st International Joint Conference on Artificial Intelligence (IJCAI 2022)
  • Distinguished SPC Member, 31st International Joint Conference on Artificial Intelligence (IJCAI 2022)
  • Outstanding PC Member, 15th ACM International WSDM Conference (WSDM 2022)
  • Best Student Research Paper Award, 15th Autonomous Agents and Multiagent Systems (AAMAS 2016)
  • Best Research Paper Award, 2015 SIAM International Conference on Data Mining (SDM 2015)
  • National Science Foundation Graduate Research Fellowship, 2012 - 2015
Research Experience
  • 2018 - Current: Assistant Professor, University of Nebraska-Lincoln
  • 2017 - 2018: Postdoctoral Fellow, Laboratory for Innovation Science at Harvard (Advisors: David Parkes and Karim Lakhani)
  • 2017 May - August: Postdoctoral Fellow, USC Center for Artificial Intelligence in Society (Advisors: Milind Tambe and Eric Rice)
  • 2015 - 2017: Postdoctoral Research Associate, Trinity University (Advisor: Albert Jiang)
Education
  • 2010 - 2015: Ph.D. Candidate in Computer Science, Stony Brook University (Advisor: Luis Ortiz)
  • 2006 - 2010: B.S. Candidate in Computer Science and Mathematics, College of Charleston (Advisor: Dinesh Sarvate)
Background
  • Research Interests: Artificial Intelligence (AI), AI for Society and Social Good, Game Theory, Mechanism Design, Machine Learning. Main research area lies in multi-agent aspects of AI for Society and Social Good, focusing on developing modeling and algorithmic foundations for tackling societal problems and predicting agent behavior in societal contexts, leveraging AI, game theory, mechanism design, and machine learning to better inform policymaking and collective decision-making.
Miscellany
  • Currently leading the Computational Decision Science (CDS) Lab.
Co-authors
31 total
Minming LI
Minming LI
City University of Hong Kong
Milind Tambe
Milind Tambe
Professor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google Research
Eric Rice
Eric Rice
Associate Professor of Social Work, University of Southern California
Haris Aziz
Haris Aziz
UNSW Sydney
Leman Akoglu
Leman Akoglu
Associate Professor, Carnegie Mellon University
Amulya Yadav
Amulya Yadav
Assistant Professor, Penn State
Phebe Vayanos
Phebe Vayanos
Associate Professor at University of Southern California; Co-Director of Center for AI in Society
Haifeng Xu
Haifeng Xu
University of Chicago