Working papers and preprints
Mediated Bayesian Persuasion Request Copy ]Protecting Consumers Against Personalized Pricing: A Stopping Time Approach Preprint ]
Published papers
Reinforcement Learning for Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games in Multiple Populations Dynamic Games and Applications How Does a Rational Agent Act in an Epidemic? Proc. 61st IEEE Conference on Decision and Control (CDC 2022) Modeling Presymptomatic Spread in Epidemics via Mean-Field Games Proc. 2022 American Control Conference (ACC 2021) Approximate Testing in Uncertain Epidemic Processes Proc. 60th IEEE Conference on Decision and Control (CDC 2021) Discrete-Time Linear-Quadratic Regulation via Optimal Transport Proc. 60th IEEE Conference on Decision and Control (CDC 2021) A Data-Informed Approach for Analysis, Validation, and Identification of COVID-19 Models Proc. 2021 American Control Conference (ACC 2021) Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning Proc. IEEE 59th Conference on Decision and Control (CDC 2020) Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games Proc. IEEE 59th Conference on Decision and Control (CDC 2020) Secure Contingency Prediction and Response for Cyber-Physical Systems Proc. 4th IEEE Conference on Control Technology and Applications (CCTA 2020) Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games Proc. 2020 American Control Conference (ACC 2020) Monotonicity Properties for Two-Action Partially Observable Markov Decision Processes on Partially Ordered Spaces European Journal of Operational Research Non-Cooperative Inverse Reinforcement Learning Proc. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) Strategic Inference with a Single Private Sample Proc. 58th IEEE Conference on Decision and Control (CDC 2019) Online Planning for Decentralized Stochastic Control with Partial History Sharing Proc. 2019 American Control Conference (ACC 2019) A Bayesian Multi-armed Bandit Approach for Identifying Human Vulnerabilities Proc. 9th International Conference on Decision and Game Theory for Security (GameSec 2018) A POMDP Approach to the Dynamic Defense of Large-Scale Cyber Networks IEEE Transactions on Information Forensics & Security A Decentralized Mechanism for Computing Competitive Equilibria in Deregulated Electricity Markets Proc. 2016 American Control Conference (ACC 2016) Award: Best Speaker in Session Optimal Defense Policies for Partially Observable Spreading Processes on Bayesian Attack Graphs Proc. Second ACM Workshop on Moving Target Defense (MTD 2015) Multilateral Trades in Interconnected Power Systems: A Local Public Goods Approach Proc. 3rd International Conference on High Confidence Networked Systems (HiCoNS 2014) A Supervisory Control Approach to Dynamic Cyber-Security Proc. 5th International Conference on Decision and Game Theory for Security (GameSec 2014) Sequential Detection with Mutual Information Stopping Cost IEEE Transactions on Signal Processing
Book chapters
Control-Theoretic Approaches to Cyber-Security Adversarial and Uncertain Reasoning for Adaptive Cyber Defense (Editors: Sushil Jajodia, George Cybenko, Peng Liu, Cliff Wang, Michael Wellman), 2019A Scalable Decomposition Method for the Dynamic Defense of Cyber Networks Game Theory for Security Risk Management: From Theory to Practice (Editors: Stefan Rass, Stefan Schauer), 2018
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