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Optica Imaging Congress

Edmund Lam

An Eventful Exploration with Computational Neuromorphic Imaging

In this talk, I will discuss computational neuromorphic imaging, which involves the use of event sensors to capture rapid changes in pixel intensities. I will outline their usage in a computational optical imaging setting and efforts in processing the event data for different applications.


About the Speaker

Edmund Lam received the BS, MS, and PhD degrees in electrical engineering from Stanford University. He is a Professor in Electrical and Electronic Engineering and Associate Dean of the Graduate School at the University of Hong Kong. He directs the Imaging Systems Laboratory with research work focusing on computational optics and imaging, which spans from the design of algorithms and systems to applications especially in environmental monitoring and biomedicine.

He is a founding member of the Hong Kong Young Academy of Sciences, and a Fellow of Optica, SPIE, IEEE, IS&T and IOP.

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