Mobirise


Hau Chan
Assistant Professor
School of Computing
University of Nebraska-Lincoln

Office: Avery 363
e-mail: hchan3 [at] unl.edu
Phone: 402-472-5091

Research Areas: AI for Social Good(s), Computational Game Theory, Mechanism Design, Algorithms, Data/Graph Mining, Machine Learning, Discrete Mathematics

My current research aims to address the modeling and computational aspects of societal problems from AI and Machine Learning (ML) perspectives.

My main approach is to introduce computational models and design methods to compactly capture and efficiently solve societal problems. I leverage ideas from AI/computational game theory (CGT)/algorithmic mechanism design (AMD) when the problems involve strategic agents and decision-making, and ML and data science when the problems deal with predictions and inferences. I am also interested in the design of lab and field experiments to improve and evaluate models and methods.

Currently, I lead the Computational Decision Science (CDS) Lab. 

Current Research Areas: 

Game-theoretic Models for Social Domains
Mechanism Design (With or Without Payments) 
Resource Allocation and Optimization
Graph Mining and Social Networks
Social Challenges (to Aid Population Groups)

I am looking for motivated students to work on research projects in the area of computational game theory, graph mining, or AI for social good(s). If you are interested, please contact me (via customized emails discussing my research/papers that you have read) and apply to the UNL CS graduate program. 

(Short) Bio:

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)

2010 - 2015: Ph.D. Candidate in Computer Science, Stony Brook University (Advisor: Luis Ortiz)

        2012 May - August: NSF EAPSI Fellow, Nanyang Technological University (Advisor: Edith Elkind)

2006 - 2010: B. S. Candidate in Computer Science and Mathematics, College of Charleston (Advisor: Dinesh Sarvate)

        2009 May - August: NSF REU Student, Georgia Institute of Technology (Advisor: Plamen lliev)

        2009 August: Summer Program Student in Analysis and Geometry, Princeton University

(Selected) Awards:

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)

Distinguished PC Member, 27th International Joint Conference on Artificial Intelligence (IJCAI 2018)

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

Funding Acknowledgement (Thanks!): 

NSF IIS RI (via NSF-CSIRO International Collaboration) 2023-2026 (Role: PI)  

NIH's NIGMS, COBRE (via Rural Drug Addiction Research Center) 2022-2025 (Role: PI/Early Career Project Leader)

Artificial Intelligence Journal (AIJ) and NSF (for supporting AAMAS DC and Student Scholarships) 2021-2022 (Role: Co-PI/PI)

UNL Collaboration Initiative Planning Grant 2020-2021 and UNL Collaboration Initiative Seed Grant 2020-2022 (Role: Co-PI)

USCYBERCOM (via National Strategic Research Institute) 2018-2019 (Role: Co-PI)

(Selected) Conference/Workshop/Program: 

Co-Chair, Demonstrations (Demos), IJCAI 2024

Co-Chair, The 14th Workshop on Optimization and Learning in Multiagent Systems (OptLearnMAS-23), AAMAS 2023

Co-Chair, Doctoral Consortium, IJCAI 2023

Co-Chair, Finance, AAMAS 2023

Co-Chair, The 13th Workshop on Optimization and Learning in Multiagent Systems (OptLearnMAS-22), AAMAS 2022

Co-Chair, Diversity and Inclusion Activities, AAMAS 2022

Co-Chair, Doctoral Consortium, AAMAS 2022

Co-Chair, Scholarships, AAMAS 2022

Panelist, CSGrad4US Mentoring Program, CRA-WP and CRA-E, 2021

Invited Speaker, Artificial Intelligence (AI) Bootcamp, Data Science Nigeria, 2021

Co-Chair, Doctoral Consortium, AAMAS 2021

Co-Chair, Scholarships, AAMAS 2021

Invited Speaker, 3rd Workshop on Data Science for Social Good (SoGood 2018), ECML-PKDD 2018

Teaching:

Spring 2016: CSCI-1311 Introduction to Programming Logic (at Trinity University)

Fall 2016: CSCI-1311 Introduction to Programming Logic (at Trinity University)

Fall 2018: CSCE 990 Networks, Crowds, and Markets

Spring 2019: CSCE 496/896 Computational Game Theory and Its Applications

Fall 2019: CSCE 310H Honors Data Structures and Algorithms

Spring 2020: CSCE 496/896 Computational Game Theory and Its Applications

Fall 2020: CSCE 310H Honors Data Structures and Algorithms

Spring 2021: CSCE 496/896 Computational Game Theory and Its Applications

Spring 2022: CSCE 990 AI for Social Good

Spring 2022: CSCE 496/896 Computational Game Theory and Its Applications

Spring 2023: CSCE 496/896 Computational Game Theory and Its Applications

Fall 2023: CSCE 310H Honors Data Structures and Algorithms

Spring 2024: CSCE 310 Data Structures and Algorithms

Learning/Tutorial:

AAMAS 2019: Tutorial on Solving Games with Complex Strategy Spaces (with A. Jiang and F. Fang)

IJCAI 2019: Tutorial on Solving Games with Complex Strategy Spaces (with F. Fang)

AAMAS 2020: Tutorial on Computational Game Theory and Its Applications (with A. Sinha and M. Irfan)

IJCAI 2020: Tutorial on Computational Game Theory and Its Applications (with A. Sinha and M. Irfan)

Summer School on Game Theory and Social Choice 2021: Tutorial on Computational Game Theory and Its Applications (organized by the Department of Computer Science, City University of Hong Kong)

IJCAI 2021: Tutorial on Mechanism Design without Money (with H. Aziz, H. Hosseini, and C. Wang)

AAMAS 2022: Tutorial on Mechanism Design without Money (with H. Aziz, H. Hosseini, and C. Wang)

IJCAI 2022: Tutorial on Mechanism Design without Money (with H. Aziz, H. Hosseini, and C. Wang)

AAMAS 2023: Tutorial on Mechanism Design without Money (with H. Aziz, H. Hosseini, and M. Li)

Invited Speaker, Summer School on Algorithmic Game Theory, Department of Computer Science, City University of Hong Kong, 2023

Publications:

2023

Facility Location Games with Ordinal Preferences
H. Chan, Z. Gong, M. Li, C. Wang, and Y. Zhao
Theoretical Computer Science (TCS)
[Link]

Budget-feasible Mechanisms for Proportionally Selecting Agents from Groups
X. Liu, H. Chan, M. Li, W. Wu, and Y. Zhao
Artificial Intelligence Journal (AIJ)
[Link]

Population-size-Aware Policy Optimization for Mean-Field Games
P. Li, X. Wang, S. Li, H. Chan, and B. An
11th International Conference on Learning Representations (ICLR 2023)
[Link]

Altruism in Facility Location Problems
H. Zhou, H. Chan, and M. Li
22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023) [Extended Abstract]
[Link] 

Mechanism Design for Improving Accessibility to Public Facilities
H. Chan and C. Wang
22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)
[Link]

Multi-Stage Facility Location Problems with Transient Agents
X. Wang, V. Chau, H. Chan, C. K. K. Fong, and M. Li
The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)
[Link]

2022

Monotone k-Submodular Secretary Problems: Cardinality and Knapsack Constraints
Z. Tang, C. Wang, and H. Chan
Theoretical Computer Science (TCS)

Preferences Single-Peaked on a Tree: Multiwinner Elections and Structural Results
D. Peters, L. Yu, H. Chan, and E. Elkind
Journal of Artificial Intelligence Research (JAIR)

On Maximizing a Monotone k-Submodular Function under a Knapsack Constraint 
Z. Tang, C. Wang, and H. Chan 
Operations Research Letters

Facility Location Games with Ordinal Preferences
H. Chan, M. Li, C. Wang, and Y. Zhao
28th International Computing and Combinatorics Conference (COCOON 2022)
[Link] Invited to TCS

Analyzing and Designing Strategic Environments in Social Domains
H. Chan
31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence - Early Career Spotlight Track (IJCAI-ECAI 2022)
[Link]

Strategyproof Mechanisms For Group-Fair Facility Location Problems
H. Zhou, M. Li, and H. Chan
31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022)

Sequential Blocked Matching
N. Bishop, H. Chan, D. Mandal, and L. Tran-Thanh
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)

2021

Influence Maximization in the Presence of Vulnerable Nodes: A Ratio Perspective
H. Chen, G. Loukides, S. P. Pissis, and H. Chan
Theoretical Computer Science (TCS)
[Link]

Game-theoretic Analysis of Effort Allocation of Contributors to Public Projects
J. Soundy, C. Wang, C. Stevens, and H. Chan
30th International Joint Conference on Artificial Intelligence (IJCAI 2021) 
[Link] 

Budget-feasible Mechanisms for Representing Groups of Agents Proportionally
X. Liu, H. Chan, M. Li, and W. Wu
30th International Joint Conference on Artificial Intelligence (IJCAI 2021) 

Mechanism Design for Facility Location Problems: A Survey
H. Chan, A. Filos-Ratsikas, B. Li, M. Li, and C. Wang
30th International Joint Conference on Artificial Intelligence - Survey Track (IJCAI 2021) 

Exploring the Efficiency of Self-Organizing Software Teams with Game Theory
C. Stevens, J. Soundy, and H. Chan
The 43rd International Conference on Software Engineering - New Ideas and Emerging Results (ICSE-NIER 2021)

Maximizing Approximately k-Submodular Functions
L. Zheng, H. Chan, G. Loukides, and M. Li
2021 SIAM International Conference on Data Mining (SDM 2021)

Multi-Robot Task Allocation—Complexity and Approximation
H. Aziz, H. Chan, A. Cseh, B. Li, F. Ramezani, and C. Wang
20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021)

Facility’s Perspective to Fair Facility Location Problems
C. Wang, X. Wu, M. Li, and H. Chan
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021)

2020

The Capacity Constrained Facility Location Problem
H. Aziz, H. Chan, B. E. Lee, and D. C. Parkes
Games and Economic Behavior (GEB)

Adversarial Blocking Bandits
N. Bishop, H. Chan, D. Mandal, and L. Tran-Thanh
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020)
[Link]

Algorithms for Optimizing the Ratio of Monotone k-Submodular Functions
H. Chan, G. Loukides, and Z. Su
2020 The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020)
[Link]

Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach
H. Chan, L. Tran-Thanh, and V. Viswanathan
29th International Joint Conference on Artificial Intelligence - AI for CompSust and Human well-being (IJCAI 2020)
[Link]

The Price of Anarchy of Self-Selection in Tullock Contests
H. Chan, D. C. Parkes, and K. Lakhani
19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) [Extended Abstract]
[Link][PDF (Long)]

Schelling Models with Localized Social Influence: A Game-Theoretic Framework
H. Chan, M. Irfan, and C. V. Than
19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020)
[Link] Invited to JAAMAS

Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives
H. Aziz, H. Chan, B. E. Lee, B. Li, and T. Walsh
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)
[Link]

2019

The Capacity Constrained Facility Location Problem
H. Aziz, H. Chan, B. E. Lee, and D. C. Parkes
The 15th Conference on Web and Internet Economics (WINE 2019)

Maximin-Aware Allocations of Indivisible Goods
H. Chan, J. Chen, B. Li, and X. Wu
28th International Joint Conference on Artificial Intelligence (IJCAI 2019)

Weighted Maxmin Fair Share Allocation of Indivisible Chores
H. Aziz, H. Chan, and B. Li
28th International Joint Conference on Artificial Intelligence (IJCAI 2019)

Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity 
X. Wang, B. An, and H. Chan
28th International Joint Conference on Artificial Intelligence - AI for Improving Human Well-being (IJCAI 2019)

Limiting the Influence to Vulnerable Users in Social Networks: A Ratio Perspective
H. Chen, G. Loukides, J. Fan, and H. Chan
The 33rd International Conference on Advanced Information Networking and Applications (AINA 2019)

2018

Linking Homelessness Vulnerability Assessments to Housing Placements and Outcomes for Youth
E. Rice, M. Holguin , H. Hsu , M. Morton, P. Vayanos, M. Tambe and H. Chan
Cityscape
[Link]

An FPTAS for Computing Nash Equilibrium in Resource Graph Games
H. Chan and A. X. Jiang
27th International Joint Conference on Artificial Intelligence (IJCAI 2018)

Learning Game-theoretic Models from Aggregate Behavioral Data with Applications to Vaccination Rates in Public Health
H. Chan and L. E. Ortiz
17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018) [Extended Abstract]
[Link] [PDF (Long)]

From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth
H. Chan, E. Rice, P. Vayanos, M. Tambe, and M. Morton
2018 The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018)
[PDF]

Partially Generative Neural Networks for Gang Crime Classification with Partial Information
S. Seo, H. Chan, P. J. Brantingham, J. Leap, P. Vayanos, M. Tambe, and Y. Liu
The First AAAI/ACM Conference on AI, Ethics, and Society (AIES 2018)
[PDF]

Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks
H. Chan, L. Tran-Thanh, B. Wilder, E. Rice, P. Vayanos, and M. Tambe
The First AAAI/ACM Conference on AI, Ethics, and Society (AIES 2018)
[PDF]

2017

Using social networks to raise HIV awareness among homeless youth
A. Yadav, H. Chan, A. X. Jiang, H. Xu, E. Rice, R. Petering, M. Tambe
IBM Journal of Research and Development
[Link]

Interdependent Defense Games with Applications to Internet Security at the Level of Autonomous Systems
H. Chan, M. Ceyko, and L. Ortiz
Games 
[Link]

Provision-After-Wait with Common Preferences
H. Chan, J. Chen, and G. Srinivasan
ACM Transactions on Economics and Computation (TEAC)
[Link]

Game-theoretic Goal Recognition Models with Applications to Security Domains
S. Ang, H. Chan, A. X. Jiang, and W. Yeoh
2017 Conference on Decision and Game Theory for Security (GameSec 2017)
[PDF]

Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces
A. X. Jiang, H. Chan, and K. Leyton-Brown
The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017)
[Link]

2016

Optimizing Network Robustness by Edge Rewiring: A General Framework
H. Chan and L. Akoglu
Data Mining and Knowledge Discovery
[LINK]

Multilinear Games
H. Chan and A. X. Jiang, K. Leyton-Brown, and R. Mehta
The 12th Conference on Web and Internet Economics (WINE 2016)

Congestion Games with Polytopal Strategy Space
H. Chan and A. X. Jiang
25th International Joint Conference on Artificial Intelligence (IJCAI 2016)

Provision-After-Wait with Common Preferences
H. Chan and J. Chen
15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016)
[PDF]

Budget Feasible Mechanisms for Dealers
H. Chan and J. Chen
15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016)
[PDF]

Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization Under Uncertainty
A. Yadav, H. Chan, A. X. Jiang, H. Xu, E. Rice, and M. Tambe
15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016)
[PDF] Best Student Research Paper

2015

Computing Nash Equilibria in Interdependent Defense Games
H. Chan and L. Ortiz
The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015)
[Link]

Where Graph Topology Matters: The Robust Subgraph Problem
H. Chan, Shuchu Han, and L. Akoglu
2015 SIAM International Conference on Data Mining (SDM 2015)
[Link] Best Research Paper

2014

Computing Nash Equilibria in Interdependent Security Games
H. Chan and L. Ortiz
2014 Neural Information Processing Systems Foundation (NIPS 2014)

Truthful Multi-unit Procurements with Budgets
H. Chan and J. Chen
The 10th Conference on Web and Internet Economics (WINE 2014)
[PDF][Link (long)]

Make It or Break It: Manipulating Robustness in Large Networks
H. Chan, L. Akoglu, and H. Tong
2014 SIAM International Conference on Data Mining (SDM 2014)

2013 - 2012

External Evaluation of Topic Models: A Graph Mining Approach
H. Chan and L. Akoglu
The IEEE 13th International Conference on Data Mining (ICDM 2013)
[PDF]

Multiwinner Elections Under Preferences that Are Single-Peaked on a Tree
L. Yu, H. Chan, and E. Elkind
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013)

Interdependent Defense Games: Modeling Interdependent Security under Deliberate Attacks
H. Chan, M. Ceyko, and L. Ortiz
The 28th Conference on Uncertainty in Artificial Intelligence (UAI 2012)
[PDF] [SUPP]

2012 - 2009 (Discrete Mathematics)

Sarvate-Beam designs: new results and large sets
H. Chan, W. Hein, D. G. Sarvate
The Journal of Combinatorial Mathematics and Combinatorial Computing (JCMCC), (84) 2012
[PDF]

Stanton Graph Decompositions
H. Chan and D. G. Sarvate
Bulletin of Institute of Combinatorics and its Applications (Bulletin of ICA), (64) 2012
[PDF]

On 1-Sarvate-Beam designs
H. Chan and D. G. Sarvate
Discrete Math (DM), (311) 2011

Beautifully Ordered Balanced Incomplete Block Designs
H. Chan and D. G. Sarvate
The Journal of Combinatorial Mathematics and Combinatorial Computing (JCMCC), (74) 2010
[PDF]

A non-existence result and large sets for SB designs
H. Chan and D. G. Sarvate
Ars Combinatoria, (95) 2010
[PDF]

Sets of MOLSs generated from a single Latin square
H. Chan and D. G. Sarvate
Congressus Numerantium, (195) 2009
[PDF]



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