Talks + Posters

Self-Supervised Learning using Geometric Assessment-driven Topological Smoothing (GATS) for Neuron Tracing and Active Learning Environment

Developing a Threat Model of Laser-Induced Acoustic Interference in Computer Vision-Assisted Vehicles

3D Self-Supervised Learning to Improve Neuron Segmentation for Brain Mapping

Real-time Estimation of Cognitive States via fNIRS-based Time Series Classification

Poster @ FENS Forum, 2024.

Poster @ New England Hardware Security Day 2024.

Poster @ MIT Lincoln Laboratory/Recent Advances in AI for National Security (RAAINS), 2022.

Presentation @ International Conference on Applied Human Factors and Ergonomics, 2021.

Select Awards + Scholarships

• FENS Forum 2024 Ethical Future with NeuroAI Hackathon “Finding Most Hidden Dangers” Distinction — Summer 2024.
• Symposium on Vehicle Security and Privacy (VehicleSec) 2024 Travel Grant Award — Spring 2024.
• 2023 MIT Climate Hack, Finalist (1 of 9 teams) — Fall 2023.
• 2nd Prize in Department of Homeland Security SENTRY Student Design Challenge — Spring 2023.
• SDU Robotics Scholarship (1 of 6 selected in Massachusetts) — Summer 2022.
• National Science Foundation i-Corps Award — Spring 2022.
• Northeastern University Electrical and Computer Engineering Fellowship — August 2021.
• Tau Beta Pi membership — initiated April 2021.