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Prashant Doshi

Blurred image of the arch used as background for stylistic purposes.
Professor of Computer Science
Ph.D.: University of Illinois at Chicago, 2005

Prof. Doshi's research interests broadly fall in AI and Robotics. In the area of AI, he is an expert on autonomous decision making with specific interests in decision making under uncertainty in multiagent settings. In robotics, Prof. Doshi investigates ways to make learning by observing pragmatic for robots and is an expert on inverse reinforcement learning. He also studies methods for SLAM in occluded, multi-robot settings. His past research experience also includes the semantic Web and specifically in ontology alignment and learning; and in services-oriented computing, specifically in composing Web services and adapting the compositions.

In collaboration with Prof. Piotr Gmytrasiewicz at UIC, Prof. Doshi co-pioneered the Interactive POMDP (I-POMDP) framework, which complements the predominant focus of previous multiagent research on team decision making. I-POMDP departs from several traditional game-theoretic solution concepts (such as equilibria) and its subjective perspective permits a natural consideration of issues related to interactive epistemology (nested modeling) and computability (finite nesting) in decision making. I-POMDPs are now well recognized within the multiagent community as a leading framework for decision making in complex, general settings. Recent use cases of I-POMDPs by researchers testify to its significance and growing appeal. They are being used to explore strategies for countering money laundering by terrorists, enhanced to include trust levels for facilitating defense simulations, and building empirical models for simulating human behavior pertaining to strategic thought and action. Survey articles published by Prof. Doshi in the AI Magazine and the AI Journal offer easy readings for a contextual understanding of this framework. THINC Lab also maintains a one-stop repository of all papers related to the I-POMDP framework. In 2011, Prof. Doshi received UGA's Creative Research Medal for his work related to I-POMDPs, which acknowledges exceptional achievements in creativity and research by UGA faculty.

Prof. Doshi would like to see robots learn tasks simply by observing others perform them. Toward this ambitious goal, his research investigations focus on generalizing inverse reinforcement learning (IRL) to operate in contexts involving noisy sensor models and where portions of the observed task may be occluded from view. A recent survey article published by him and his doctoral student offers an informative review and comparison of various IRL methods and their extensions. This research is being evaluated by teaching collaborative robotic manipulators on a produce processing line to accurately sort onions.

Prof. Doshi is the recipient of the 2009 NSF CAREER award for his research on multiagent decision making. His sustained research excellence has earned him the Outstanding Faculty Research award from the CS department three times (2009, 2012, and 2018). He has published extensively in journals, conferences, and other forums in the fields of agents, AI, Robotics, Semantic Web, and Web services with over 150 archival publications. He has given numerous presentations in conferences and invited talks at research institutions and universities. His papers are available from this website's publication page or from his Google Scholar profile. He currently serves on the editorial board of Springer's Journal of AAMAS as a coordinating editor and as the area chair in various AI conferences.


B.E. (Computer Science), V. J. Technological Institute, University of Mumbai, 1999

M.S. (Computer Science), Drexel University, 2001

Ph.D. (Computer Science), University of Illinois at Chicago, 2005.

Research Interests:

Research Focus:

Artificial intelligence & Robotics

Decision-Making under Uncertainty, Multi-Agent Systems

Reinforcement Learning, Learning from demonstrations

Other Affiliations:
Courses Regularly Taught:
Articles Featuring Prashant Doshi

GA Farm Monitor, a weekly TV program on Georgia agriculture recently did a feature on the use-inspired collaborative robotics being developed by Prof. Doshi and students of the THINC Lab in the School of Computing. It recently aired on GPB TV and…

Four years ago, when the pandemic was at its height, labor shortage had become an issue for jobs across the country including farms. Short-staffed and supply chains impacted solutions were needed to treat those current issues and future ones as well. With…

The School of Computing would like to congratulate Professor Prashant Doshi on becoming the newest Senior Member of the Association for the Advancement of AI (AAAI). The Association for the Advancement of Artificial Intelligence (AAAI) is the premier scientific…

Profs. Ramviyas Parasuraman (PI) and Prashant Doshi (Co-PI) received a new grant from the U.S. Army Research Lab for the project titled "Cooperative Multi-Agent Systems". This is a 3-year grant with a $1.68 million budget.

Professor Prashant Doshi is leading a three-way research collaboration on a new $1.2M NSF grant with colleagues at the Universities of Nebraska-…

Prof. Prashant Doshi and graduate alumni Evan Johnston have been awarded a Small Business Technology Transfer (STTR) grant from NSF to conduct R&D in order to make technology derived in part from THINC Lab research ready for commercialization.

Staff from Georgia’s Governor’s Office of Budget and Planning, Georgia Research Alliance, and GRA student scholars visited the THINC Lab in June to engage with Prof. Doshi and his students on the outcomes of a GRA-funded research project in agricultural…

A paper on cyber deception for attacker’s intent recognition co-authored by Professor Prashant Doshi and graduate students Aditya Shinde and Omid Setayeshfar from the THINC lab is the winner of the…

Prof. Doshi is collaborating on a new 3-year NSF grant with faculty at Oberlin College and UNL-Lincoln on scalable and decentralized planning in open multi-agent systems. Such systems are characterized by agents entering and…

Congratulations to Dr. Ramviyas Nattanmai Parasuraman and Dr. Prashant Doshi for being funded a project titled “From Toys to Robots for Active Learning in Robotics and AI Education” under the Learning Technologies Grant (LTG)…

Congratulations to our 2018-2019 academic year award winners:

Dr. Bill Hollingsworth - Faculty Teaching Excellence Award

Dr. Prashant Doshi and Dr. Shannon Quinn - Outstanding Faculty Research Award

Shu Zhang -

Congratulations to Dr. Prashant Doshi (PI) and Dr. Yi Hong (Co-PI) for receiving a 3-year NSF grant for the proposal titled: "NRI: FND: Robust Inverse Learning for Human-Robot Collaboration."

Congratulations to Dr.  Prashant Doshi (PI) and Dr. Kyu Hyung Lee (Co-PI)  for receiving a 3-year U.S. Army research grant for the proposal titled: "A Framework for Asymmetric Information Interactions among (Cyber) Defenders and Attackers…

Congratulations to Dr. Prashant Doshi for receiving a 3-year NSF grant for the proposal titled: "Tractable Decision-Theoretic Planning Driven by Data." 

Profs. Doshi and Goodie (Psychology) received a 1-year NSF grant for computationally modeling the decision making of individuals in impending disaster areas. 

Prashant Doshi and Lakshmish Ramaswamy will be joining the Computer Science Department at UGA as Assistant Professors, in August, 2005.…

Congratulations to Prof. Doshi, Prof. Ramaswamy and Prof. Miller and…

Prof. Doshi was invited to the SensorNet 2.0 panel at the Microsoft Research Faculty Summit held in Seattle in July 2007. The MSR summit is an annual invitation-only event attended by several…

Congratulations to Ph.D. candidate, Haibo Zhao, for winning the 2008-09 UGA's Dissertation Completion Award. Haibo's research on Web services is supervised by Prof. Doshi.

Congratulations to Prof. Doshifor winning the 2009 NSF CAREER award for his project titled, "Scalable Algorithms for Individual Decision Making in Multiagent Settings". The CAREER award…

Congratulations to Prof. Doshifor winning the Creative Research Medal

UGA's Red and Black student newspaper features CSCI 4530/6530 (taught by Prof. Potter) and CSCI 4550/6550 (taught by Prof.

THINC lab's ontology alignment tool, Optima+, developed by doctoral student Uthayasanker Thayasivam and Prof.

Major Professor

My Graduate Students

Prasanth Sengadu Suresh

Graduate Research Assistant

Aditya Prakash Shinde

Graduate Student

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