Kyle Hunt

Education

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

Teaching

• Predictive Analytics

Research Methodologies

• Operations research
• Game theory
• Machine learning
• Decision analysis

Research Topics

• Homeland security and defense
• Emergency management
• Fake news/misinformation
• Production/manufacturing

Selected Publications

Dong, Y., X. Chen, K. Hunt, and J. Zhuang, “Counterterrorism Resource Allocation during a Pandemic: The Effects of Dynamic Target Valuations when Facing a Strategic Terrorist,” Risk Analysis, forthcoming.

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.

Hunt, K., A. Narayanan, and J. Zhuang, “Blockchain in Humanitarian Operations Management: A Review of Research and Practice,” Socio-Economic Planning Sciences, 80: 101175, 2022.

Hunt, K., P. Agarwal, and J. Zhuang, “Monitoring Misinformation on Twitter during Crisis Events: A Machine Learning Approach,” Risk Analysis, 42(8):1728-1748, 2022.

Hunt, K., P. Agarwal, and J. Zhuang, “Technology Adoption for Airport Security: Modeling Public Disclosure and Secrecy in an Attacker-defender Game,” Reliability Engineering and System Safety, 207: 107355, 2021.

Wan, Q., X. Xuanhua, K. Hunt, and J. Zhuang, “Stay Home or Not? Modeling Individuals' Decisions during the COVID-19 Pandemic,” Decision Analysis, https://doi.org/1 0.1287/deca. 2021.0437, 2021.

Hunt, K., B. Wang, and J. Zhuang, “Misinformation Debunking and Cross-Platform Information Sharing through Twitter During Hurricanes Harvey and Irma: A Case Study on Shelters and ID Checks,” Natural Hazards, 103(1): 861-883, 2020.

External Grants and Awards

• Co-PI on project: “DDRIG in DRMS: Multi-target Technology Deployment and Information Disclosure in Attacker-defender Settings: Analyzing Game-theoretic Prescriptions and Human Decisions,” supported by the National Science Foundation (NSF) via the Decision, Risk, and Management Sciences (DRMS) program, 2022-2023.
• Graduate Research Fellowship, National Science Foundation (NSF)

Professional Affiliations

• Society for Risk Analysis (SRA)
• Institute for Operations Research and the Management Sciences (INFORMS)
• Institute of Industrial and Systems Engineers (IISE)