Prashant Doshi

Prashant Doshi is a Professor of Computer Science at the University of Georgia's School of Computing. He leads the THINC Lab, focusing on AI and Robotics, particularly multiagent decision-making frameworks like the Interactive POMDP (I-POMDP). His work bridges game theory and decision theory, addressing challenges in uncertain, multiagent environments. Notable contributions include applications of I-POMDPs in counter-terrorism, defense simulations, and human behavior modeling. Doshi has published over 150 papers and holds editorial roles at Springer's Journal of AAMAS.

Research interests span inverse reinforcement learning (IRL), robotic learning from observation, SLAM in occluded settings, and semantic Web technologies. Awards include UGA’s Creative Research Medal (2011) and NSF CAREER Award (2009). He has been recognized three times with the CS Department’s Outstanding Faculty Research Award (2009, 2012, 2018).

• Key Projects: Open Human-Robot Collaboration Systems, I-POMDP framework development, cybersecurity intent recognition.
• Grants: NSF CAREER Award, Collaborative Research grants on multiagent systems.
• Labs: THINC Lab (focusing on human-robot interaction and decision-making).

Recent work explores open multiagent systems, where agents dynamically join/leave, and occluded IRL for robots learning from partial observations. His research has practical applications in disaster response robots, healthcare resource allocation, and autonomous vehicle decision-making.