Honorable Mention, King-Sun Fu Memorial Best Paper Award, IEEE Transactions on Robotics, 2021
Best Student Paper Award, Robotics: Science and Systems (RSS), 2020
RSS Pioneer, Robotics: Science and Systems, 2019
Best Paper Award, International Workshop on the Algorithmic Foundations of Robotics, 2016
Authored notable publications including 'Multi-Irreducible Spectral Synchronization for Robust Rotation Averaging' and 'OASIS: Optimal Arrangements for Sensing in SLAM'
Background
Assistant Professor in the Departments of Electrical & Computer Engineering (ECE) and Mathematics, and by courtesy in the Khoury College of Computer Sciences at Northeastern University
Leads the Robust Autonomy Lab
Broadly interested in the mathematical and algorithmic foundations of trustworthy autonomy
Applies tools from nonlinear optimization, differential geometry and topology, abstract algebra, and probability and statistics to design principled, computationally efficient, and provably robust algorithms for machine learning, perception, and control
Focuses on designing practical estimation and control algorithms for nonlinear systems with explicit performance guarantees
Recent work explores convex relaxation as a general strategy for obtaining provably-good approximate solutions to hard AI problems