I am Sarit, a Postdoctoral Researcher at Temple University.

I am currently a postdoctoral researcher at Institute for Genomics and Evolutionary Medicine working with professor Maciej Boni on mathematical modeling of infectious diseases. The lab specializes in individual-based malaria simulation to plan interventions in response to the evolution of drug-resistant parasites. I graduated with a PhD in Computer Science from University of Illinois at Chicago specializing in Multi-Agent Artificial Intelligence. I completed my thesis under Professor Ian Kash. My doctoral research involves developing scalable algorithms to study communication and interaction among autonomous agents in partially observable and stochastic environments. More broadly, my research work revolves around extension and approximation of multi-agent automated decision making framework called Interactive Partially Observable Markov Decision Processes (IPOMDPs). My research interests are Decision Theoretic planning, Reinforcement Learning, Multi-Agent Systems, and Computational Epidemiology. Before joining PhD program, I spent more than 3 years in the industry working as a software engineer. I received my Bachelor's in Computer Engineering from Institute of Engineering, Central Campus, Tribhuvan University.

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Publications

• Adhikari S., Gmytrasiewicz P. Bayesian Learning for literal POMDP in Communicative IPOMDPs Multi Agent Sequential Decision Making Under Uncertainty, MSDM 2023
• Adhikari S., Gmytrasiewicz P. Communicative Interactive Partially Observable Monte Carlo Planning. Computational Theory of Mind for Human-Machine Teams, AAAI Fall Symposium 2021
• Adhikari S., Gmytrasiewicz P. Point Based Solution Method for Communicative IPOMDPs. In: Rosenfeld A., Talmon N. (eds) Multi-Agent Systems. EUMAS 2021.
• Adhikari S., Gmytrasiewicz P. Telling Friend from Foe - Towards a Bayesian Approach to Sincerity and Deception. Proceedings of the 22nd International Workshop on Trust in Agent Societies, London, UK. 2021
• Gmytrasiewicz P., Adhikari S. Optimal Sequential Planning for Communicative Actions: A Bayesian Approach. AAMAS 2019

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