Neuromorphic event-based vision sensors may soon power low vision aids and retinal implants, where the visual scene has to be processed quickly and efficiently before it is displayed.
Umang is a graduate student pursuing Integrated MS-PhD program in the ECE Department at UCSB. He is primarily interested in machine learning, vision systems, and computationally efficient brain-inspired algorithms. He is passionate about employing these algorithms to design fast and robust edge-vision systems dedicated to tasks like object recognition and tracking.
Off work, you can generally find him hiking on weekends.
Education
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Ph.D. in Electrical & Computer Engineering, 2026 (expected)
University of California, Santa Barbara
