I am an Assistant Professor in the Department of Information Science and Applied Artificial Intelligence at Bar-Ilan University, and I lead the Physical Human Intelligence (PHI) Lab. My research combines machine learning, computer vision, and multimodal sensing to understand human movement, with applications in clinical assessment and personalized rehabilitation. I hold bachelor's and master's degrees in Electrical and Electronic Engineering. I earned my Ph.D. in Mechanical Engineering from Tel Aviv University and completed my postdoctoral research in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT).
My research interests are physical AI, computer vision, deep learning, human–robot interaction, and clinical assessment of movement and motor function.
Six recent papers. The rest of the list is below, and the full record is on Google Scholar.
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2026
Smartphone video and a model trained across related conditions estimate balance when data from a rare neurologic disorder are scarce.
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2026
A diffusion model and a graph network assess gait and motor function in cerebral palsy from ordinary video.
ACM Transactions on Human-Robot Interaction, 2026
Recognizes dynamic hand gestures at distances up to 30 meters using only an RGB camera.
Intelligent Service Robotics, 2026
Maps spoken guidance directly to robot motion, without a fixed list of commands.
Engineering Applications of Artificial Intelligence, 2024
Recognizes human gestures at up to 25 meters from a simple RGB camera.
IEEE Robotics and Automation Letters, 2025
A wearable sensor on the shoulder estimates arm pose so a robot can avoid collisions when cameras fail.
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