Multiple papers accepted at top-tier conferences: NeurIPS (2022, 2023), ICML (2023, 2024), ICLR (2023, 2024), ICRA (2023, 2024), CoRL 2023 (Oral, top 6%), L4DC 2023, etc.
Published in IEEE Transactions on Robotics (T-RO): 'BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control'
Holds two US provisional patents: 1) Sparse Closed-form Neural Algorithms for Out-of-Distribution Generalization on Edge Robots (Oct 2022); 2) Systems and Methods for Efficient Dataset Distillation Using Non-Deterministic Feature Approximation (Jul 2022)
Developed open-source software PyHopper for hyperparameter optimization
Invited speaker at TEDxMIT, TEDxBoston, New York AI in Finance Summit, Vanguard AI & ML Summit, among others