Undergraduate computer science student at the University of Maryland with an interest in multimodal sensing, embodied intelligence, and human-centered systems. My research focuses on developing privacy-preserving technologies that use computer vision, speech, and biosignals to understand human cognition and behavior.
Research Interests: Multimodal perception, eye tracking & pupil dynamics, speech, computer vision, wearable sensing, artificial intelligence
Applications: Robotics, AR/VR, health, human-computer interaction
B.S. in Computer Science, Math Minor
A.A. in Computer Science
University of Maryland
Advised by Nirupam Roy in the iCoSMoS Lab
University of Maryland
Advised by Yiannis Aloimonos in the Perception and Robotics Group
University of Maryland
Apple | Cupertino, CA
Collins Aerospace | Annapolis, MD
New Energy Equity | Annapolis, MD
Eadom Dessalene, Botao He, Michael Maynord, Yonatan Tussa, et al. (2026) "FEEL (Force-Enhanced Egocentric Learning): A Dataset for Physical Action Understanding". arXiv:2603.15847
Yonatan Tussa and Andy Heredia. (2026) "The Pen: Episodic Cognitive Assistance via an Ear-Worn Interface". In Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26). doi:10.1145/3772363.3799162
Yonatan Tussa, Andy Heredia, and Nirupam Roy. (2025) "Lessons Learned from Developing a Privacy-Preserving Multimodal Wearable for Local Voice-and-Vision Inference". arXiv:2511.11811