I am an assistant professor in the Mechanical and Aerospace Engineering program at SEMTE at ASU. I received Master of Engineering and PhD degrees in Aerospace Engineering from the University of Michigan in 2019 and 2021. Before joining ASU, I was a postdoctoral associate in the Laboratory for Information & Decision Systems (LIDS) and the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology. I was a 2022 DAAD AInet Fellow for the Postdoctoral Networking Tour in Artificial Intelligence in the AI and Robotics domain. I received the Professor Pierre T. Kabamba Award for Excellence in Control Systems, and the Richard and Eleanor Towner Prize for Distinguished Academic Achievement for my PhD research work in 2021. My research interests include robust control synthesis for multi-agent coordination using machine learning methods, finite- and fixed-time control synthesis for spatiotemporal specifications, and continuous-time optimization.
For students interested in working with me, see the details here.
[Jul 2025]: I am offering a new course, MAE 494/598, in Fall 2025 on Design and Analysis of Nonlinear Controls. If you are generally interested in robotics, analysis, and design of control algorithms for complex systems, consider taking this course!
[Apr 2025]: Workshop paper on using foundation models for deadlock resolution for connected multi-robot systems accepted at ICRA'25 Workshop on Foundation Models and Neuro-Symbolic AI for Robotics (see project website here)
[Mar 2025]: New paper on using sum-of-squares framework to obtain bounds on the settling time for finite-time stable systems accepted at NOLCOS 2025 (see the preprint here)
[Jan 2025]: Our paper on distributed safe control design for large-scale multi-robot systems using Graph Control Barrier Functions (GCBF) has been accepted in IEEE Transactions on Robotics (TRO)
The work was also featured on the MIT homepage (see here)
[Dec 2024]: I presented our recent work on deadlock resolution in connected multi-robot systems at the 2024 IEEE Conference on Decision and Control in Milan (see paper here)
[Dec 2024]: My co-author presented our preliminary findings on failure predictions from limited demonstrations at the NeurIPS Workshop on Bayesian Decision-making and Uncertainty (see the workshop paper here and an extended version here)
