Yonatan Tussa

Yonatan Tussa

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

LinkedIn | Google Scholar | GitHub

Education

B.S. in Computer Science, Math Minor

A.A. in Computer Science

Research Experience

Undergraduate Researcher

Advised by Nirupam Roy in the iCoSMoS Lab

Research Assistant

Advised by Yiannis Aloimonos in the Perception and Robotics Group

GRAD-MAP Undergraduate Research Program

Industry Experience

Software Engineer Intern

Product & Technology Intern

Energy Support Services Intern

Papers

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

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