Urmee Maitra

Hello! Thanks for visiting my webpage. I am a postdoctoral researcher attache to the Department of Industrial and Systems Engineering at Texas A&M University, advised by Dr. Ceyhun Eksin and co-advised by Dr. Keith Paarporn (University of Colorado, Colorado Springs). I received my Ph.D. in Electrical Engineering from the Indian Insitute of Technology Kharagpur in 2026, where I was advised by Dr. Ashish R. Hota. Prior to my graduation, I was attached to the Electrical Engineering Department, Jadavpur University, where I also served as a visiting faculty, after completing my Masters in Electrical Engineering, with a specialization in Control Systems.


I am fortunate to have worked in collaboration with researchers, such as, Dr. Vaibhav Srivastava (Michigan State University), Dr. Saverio Bolognani and Dr. Ezzat Elokda (ETH Zurich), Dr. Philip E. Pare (Purdue University), Dr. Alfred O. Hero (University of Michigan), and Dr. Rohit Gupta (IIT Bombay). My research interests include stochastic optimization, mathematical modeling of large-scale non-linear systems, population games and learning-based algorithms. Beyond game theory and epidemics in specific (and spreading process in general), I am also interested in exploring complex problems pertaining to multi-agent reinforcement-learning (MARL), explainable AI and deep RL. If you find an intersection in the research interests, please feel free to contact me and I will be happy to discuss further.


Email: umaitra1309@tamu.edu

Research Interests

My research area is focussed on game-theoretic treatments within the framework of epidemiological settings. To address certain research gaps and solve some of the critical problems that arises during a pandemic, I have adopted the following methodologies:


• By modeling forward-looking individuals, and applying Dynamic Population Game Theory, I have characterized the Nash strategies, and obtained the optimal policies for various parameter regimes.


• Due to presence of asymptomatic agents, individuals are unaware of their infection status, resulting in smart phone applications (e.g., Aarogya Setu App) providing noisy information about the state. By posing the information design problem within the lens of Bayesian Persuasion, I have obtained the optimal signaling schemes of the sender that minimize infection level.


• Mutating strains (such as Omicron, Delta etc.) induce high uncertainty in the dynamics of epidemics, and hence arresting infection spread becomes extremely demanding for policy-makers. I am currently investigating the impact of human decision-making on epidemic evolution when the strains undergo mutation processes

Publications/Work in Progress

• SIS Epidemic Containment under Game-theoretic Rational Learning, U. Maitra, K. Paarporn, and C. Eksin, Submitted, 2026.
• Signaling Policies for Stabilizing Feedback-evolving Games, Y Vahmian, U. Maitra, C. Eksin, and K. Paarporn, Submitted, 2026.
• Discrete-Time Sequential Persuasive Game for Containing SIS Epidemic Propagation, U. Maitra, and A. R. Hota, INFORMS Decision Analysis, 2026.
• SIS Epidemic Propagation under Virus Mutation and Game-Theoretic Protection, U. Maitra, A. R. Hota, and V. Srivastava, presented at IEEE Conference on Decision and Control (CDC), 2025.
• Bi-Virus SIS Epidemic Propagation under Mutation and Game-theoretic Protection Adoption, U. Maitra, A. R. Hota, and V. Srivastava, Submitted.
• Optimal protection and vaccination against epidemics with reinfection risk, U. Maitra, A. R. Hota, R. Gupta, and A. O. Hero, AIMS Mathematics, 2025.
• Optimal Bayesian persuasion for containing SIS epidemics, U. Maitra, A. R. Hota, and P. E. Pare, IEEE Control Systems Letters, 2024. Also presented at the American Control Conference (ACC), 2025.
• Bayesian persuasion for containing SIS epidemic with asymptomatic infection, A. R. Hota, A. Satapathi, and U. Maitra, Submitted, 2024.
• Learning to mitigate epidemic risks: A dynamic population game approach, A. R. Hota, U. Maitra, E. Elokda, and S. Bolognani, Dynamic Games and Applications, 2023.
• SIS Epidemic Propagation under Strategic Non-myopic Protection: A Dynamic Population Game Approach, U. Maitra, A. R. Hota, and V. Srivastava, IEEE Control Systems Letters, 2023. Also presented at the CDC, 2023.

News

• 2026/06 - Joined as a postoc at ISEN Texas A&M University.
• 2026/06 - Presented our work "Evolution of Epidemics under Strategic Information Disclosure" at the Economics and Planning Unit, Indian Statistical Institute Delhi.
• 2026/06 - Presented our work "Evolution of Epidemics under Non-myopic Decision-making and Strategic Information Disclosure" at the Department of Electronics and Communications Engineering, Indraprastha Institute of Information Technology Delhi.
• 2026/06 - Presented our work "Evolution of Epidemics under Non-myopic Decision-making and Strategic Information Disclosure" at the Department of Electrical Engineering, Indian Institute of Technology Delhi.
• 2026/05 - Our work "Sequential Persuasion Games for SIS Epidemic Control in Large Population" is accepted for presentation at the INFORMS Annual Meeting, 2026. See you in San Francisco!
• 2025/09 - Selected as a Future Digileader to attend Future Digileaders Event, 2025, held in Stockholm. See you in Stockholm!
• 2025/09 - Presented our work "Epidemic Propagation under Game-theoretic Non-myopic Strategies and Bayesian Persuasion" at the Automatic Control Laboratory, ETH Zurich.
• 2025/07 - Our work, "SIS Epidemic Propagation under Virus Mutation and Game-Theoretic Protection", is accepted for presentation to Conference on Decision and Control, 2025. See you in Rio!
• 2025/07 - Presented our work, "Optimal Bayesian persuasion for containing SIS epidemics", at the American Control Conference, 2025, at Sheraton Downtown Denver, USA.
• 2025/06 - Awarded with the Travel Grant by NCCR Automation to attend, and present our work at the Swiss CLOCK Summit, 2025 held in Engelberg. See you in Engelberg!
• 2025/03 - Attended and presented our work at ICTS program on Decisions, Games, and Evolution at ICTS-TIFR, Bengaluru, India.

Teaching Experience

During my PhD course, I served as the instructor of the following courses:


• Machine Learning and Signal Processing Laboratory
• Control and Instrumentation Laboratory
• Signals and Networks Laboratory
• Measurements and Electronic Instruments Laboratory
• Electrical Technology Tutorial
• Electrical Technology Laboratory


In addition, during my service as a visiting faculty at Jadavpur University, I was as the instructor of the following courses:


• Theory on Sequential Systems and Microprocessors
• Basic Electrical Engineering Laboratory

Miscellaneous

• Serving as the Finance Co-chair to the prestigious IEEE CSS supported NextCom committee.
• Playing chess is one of my favourite passtime. Happy to play a friendly match!