Research Interests

Task and motion planning (TAMP)
Multi-agent robot systems
Differential privacy (DP)
Secure multi-party protocols
Computational geometry

Current Work

DP and Motion Planning

I am currently working on DP guarantees for robotic coverage planning. My research focuses on bridging the gap between theoretical privacy frameworks and its application on multi-robot planning algorithms in sensitive environments.

Previous Work

Multi-Robot SPITE

I researched an improved over-approximation based collision detection scheme for multi-robot planning, leveraging hierarchical swept-volume representations organized in an AABB tree to efficiently detect potential collisions between robots.

Mind in Vitro Project

I researched evolutionary training methods for biological spiking neural networks as part of the Mind in Vitro (MiV) Project. This work was supported by the U.S. National Science Foundation Expeditions in Computing award, Mind in Vitro: Computing with Living Neurons, award no. IIS-2123781.

Computational Geometry Approximation Algorithms

I worked with Professor Sariel Har-Peled on computational geometry problems involving approximations of disk coverage unions, as well as applications of max-flow algorithms to chains and antichains in partially ordered sets.