I am a Ph.D. Candidate in Robotics and AI, advised by Dr. Julie A. Adams at Oregon State University. My dissertation develops scalable coaltition formation algoritms for heterogeneous multi-robot collectives of up to 10,000 robots. I utilize game-theoretic and sequential decision-making techniques to design distributed coordination frameworks for dynamic and uncertain environments. I envision developing hybrid AI systems integrating foundation model reasoning with game-theoretic coordination guarantees for long-duration autonomy.
I graduated with a Masters in Robotics from the University of Michigan, Ann Arbor in May 2021. At UM, I worked at the Laboratory for Progress directed by Dr. Chad Jenkins, and at the UM Ford Center for Autonomous Vehicles. I completed my Bachelors in Electronics and Communication Engineering from VNIT Nagpur, India in May 2018.
Research Interests:
- Multi-Robot Systems and Large Scale Collectives: Task Allocation and Planning
- Multi-Objective Optimization
- Game Theory
- Reinforcement Learning
I am open to industry/academic research positions starting January 2027.
Feel free to reach out if I might be a good fit for your organization.
Recent News
- : Paper titled "Preemptive Multiple Robot Coalition Reformation" accepted at DARS 2026.
- : Selected as a Future Leader of AI at the ACM AI Leadership Summit 2026.
- : Recipient of the AAMAS 2026 Student Scholarship.
- : Selected for the Doctoral Consortium at AAMAS 2026.
- : Paper titled "Extremely Large Collective Coalition Formation: Scalability" accepted at AAMAS 2026.
- : Successfully completed my Ph.D. Preliminary Examination!
- : Paper titled "Leader-Based Coalition Formation for Extremely Large Scale Collectives" received the Best Paper Award at IEEE CAI 2025.