Selected Publications
For a complete list of my publications, please see my Google Scholar profile.
A Data-driven Analysis and Optimization of the Impact of Prescribed Fire Programs on Wildfire Risk in Different Regions of the USA
Jose, Esther, Puneet Agarwal, and Jun Zhuang. 2023. "A data-driven analysis and optimization of the impact of prescribed fire programs on wildfire risk in different regions of the USA." Natural Hazards, 1-27.
Monitoring Misinformation on Twitter during Crisis Events: A Machine Learning Approach
Hunt, Kyle, Puneet Agarwal, and Jun Zhuang. 2022. "Monitoring misinformation on Twitter during crisis events: a machine learning approach." Risk Analysis, 42(8): 1728-1748.
A Multi-criteria Decision Making Approach to Evaluating the Performance of Indian Railway Zones
Jose, Esther, Puneet Agarwal, Jun Zhuang, and Jose Swaminathan. 2022. "A multi-criteria decision making approach to evaluating the performance of Indian railway zones." Annals of Operations Research, Appeared Online.
Interplay of Rumor Propagation and Clarification on Social Media during Crisis Events - A Game-theoretic Approach
Agarwal, Puneet, Ridwan Al Aziz, and Jun Zhuang. 2022. "Interplay of rumor propagation and clarification on social media during crisis events-A game-theoretic approach." European Journal of Operational Research, 298(2): 714-733.
On the Adoption of New Technology to Enhance Counterterrorism Measures: An Attacker–defender Game with Risk Preferences
Hunt, Kyle, Puneet Agarwal, and Jun Zhuang. 2022. "On the adoption of new technology to enhance counterterrorism measures: An attacker–defender game with risk preferences." Reliability Engineering & System Safety, 218: 108151.
An Exploratory Analysis for Performance Assessment of State Police Forces in India: An Eclectic Approach
Agarwal, Puneet, Kyle Hunt, Jun Zhuang, Bijan Sarkar, Amitrajit Sarkar, and Ramesh Sharma. 2021. "An exploratory analysis for performance assessment of state police forces in India: an eclectic approach." Operational Research, 21(2): 1125-1151.
A Two‐stage Data‐driven Spatiotemporal Analysis to Predict Failure Risk of Urban Sewer Systems Leveraging Machine Learning Algorithms
Fontecha, John E., Puneet Agarwal, María N. Torres, Sayanti Mukherjee, Jose L. Walteros, and Juan P. Rodríguez. 2021. "A two‐stage data‐driven spatiotemporal analysis to predict failure risk of urban sewer systems leveraging machine learning algorithms." Risk Analysis, 41(12): 2356-2391.
Technology Adoption for Airport Security: Modeling Public Disclosure and Secrecy in an Attacker-defender Game
Hunt, Kyle, Puneet Agarwal, and Jun Zhuang. 2021. "Technology adoption for airport security: Modeling public disclosure and secrecy in an attacker-defender game." Reliability Engineering & System Safety, 207: 107355.
Fire Code Inspection and Compliance: A Game-theoretic Model between Fire Inspection Agencies and Building Owners
Agarwal, Puneet, Kyle Hunt, Shivasubramanian Srinivasan, and Jun Zhuang. 2020. "Fire code inspection and compliance: A game-theoretic model between fire inspection agencies and building owners." Decision Analysis, 17(3): 208-226.
Big Data and Predictive Analytics in Fire Risk using Weather Data
Agarwal, Puneet, Junlin Tang, Adithya Narayanan Lakshmi Narayanan, and Jun Zhuang. 2020. "Big data and predictive analytics in fire risk using weather data." Risk Analysis, 40(7): 1438-1449.