IEEE EDS Distinguished Lecture Talk On "Near-/in-sensor computing for neuromorphic machine vision"

#sensor #computing #neuromorphic #machine #vision #sensing #systems
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The number of nodes typically used in sensory networks is growing rapidly, leading to large amounts of redundant data being exchanged between sensory terminals and computing units. To efficiently process such large amounts of data, and decrease power consumption, it is
necessary to develop approaches to computing that operate close to or inside sensory networks, and that can reduce the redundant data movement between sensing and processing units. Here we examine the concept of near-sensor and in-sensor computing, in which computation tasks are moved partly to the sensory terminals. We classify functions into lowlevel and high-level processing, and discuss the implementation of near-sensor and in-sensor computing for different physical sensing systems. We also provide examples for near-/insensor computing for neuromorphic machine vision.


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  • Date: 15 Sep 2021
  • Time: 11:00 AM to 12:00 PM
  • All times are (GMT+09:00) Asia/Dili
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  • Co-sponsored by Dr. Sneha Kabra

  Speakers

Dr.Yang Chai of The Hong Kong Polytechnic University

Topic:

Near-/in-sensor computing for neuromorphic machine vision


Associate Professor
Department of Applied Physics
The Hong Kong Polytechnic University

Biography:

Dr. Yang Chai is an Associate Professor in Department of Applied Physics, Vice President
of Physical Society of Hong Kong, a member of The Hong Kong Young Academy of
Sciences, the IEEE Distinguished Lecturer since 2016, and was the Chair of IEEE ED/SSC
Hong Kong Chapter (2017-2019). He is a recipient of RGC Early Career Award in 2014, the
Semiconductor Science and Technology Early Career Research Award in 2017, PolyU FAST
Faculty Award in Research and Scholar Activities in 2018/2019, Young Scientist Award of
ICON-2DMAT in 2019, PolyU President’s Award in Research and Scholar Activities in
2019/2020, NR45 Young Innovators Award in 2021, and Young Scientist of World Laurate
Association. His current research interest mainly focuses on emerging electronic devices.