Kyle Hunt

Assistant Professor
Management Science and Systems

Education

PhD, Industrial Engineering, University at Buffalo
MS, Industrial Engineering, University at Buffalo
BS, Industrial Engineering, University at Buffalo

Vita

Teaching

Predictive Analytics

Research Methodologies

Operations research
Game theory
Machine learning
Decision analysis

Research Topics

Security/defense
Healthcare
Information management

Selected Publications

Steever, Z., K. Hunt, M. Karwan, J. Yuan, and C. Murray, “A Graph-based Approach for Relating Integer Programs,” INFORMS Journal on Computing, forthcoming.

Agarwal, P., K. Hunt, E. Jose, and J. Zhuang, “Shutdown and Compliance Decisions in the Face of a Viral Pandemic: A Game between Governments and Citizens,” Decision Support Systems, 178: 114128, 2024.

Hunt, K. and J. Zhuang, “A Review of Attacker-defender Games: Current State and Paths Forward,” European Journal of Operational Research, 313(2): 401-417, 2024.

Chen, X., Y. Dong, K. Hunt, and J. Zhuang, “Counterterrorism Resource Allocation during a Pandemic: The Effects of Dynamic Target Valuations when Facing a Strategic Terrorist,” Risk Analysis, 43(6): 1235-1253, 2023.

Hunt, K., P. Agarwal, and J. Zhuang, “On the Adoption of New Technology to Enhance Counterterrorism Measures: An Attacker-defender Game with Risk Preferences,” Reliability Engineering and System Safety, 218: 108151, 2022.

Wan, Q., X. Xuanhua, K. Hunt, and J. Zhuang, “Stay Home or Not? Modeling Individuals' Decisions during the COVID-19 Pandemic,” Decision Analysis, 19(4): 319-336, 2022.

External Grants

“STTR Phase 2: Machine Learning Detection and Response for Space Force Ground Systems,” supported by the Air Force Research Lab; 2024-2025; co-PI; total funding: $540,000.
“Assessing and Mitigating Risks in the Arctic (AMiRA): A Multi-Stakeholder Framework,” supported by the United States Department of Homeland Security; 2024-2025; co-PI; total funding: $460,000.
“DDRIG in DRMS: Multi-target Technology Deployment and Information Disclosure in Attacker-defender Settings: Analyzing Game-theoretic Prescriptions and Human Decisions,” supported by the U.S. National Science Foundation; 2022-2023; co-PI; total funding: $15,325.