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DTSTAMP:20261007T105620Z
UID:25C9D206-7DDB-4984-BEBF-90418616B3CB
DTSTART;TZID=Europe/Zurich:20261027T102100
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DESCRIPTION:Title: Processing-in-Sensor: Circuit Techniques for Intelligent
  and Energy-Efficient Vision\nDate and time: 27 October\, 10:30 AM\nLocati
 on: TU Delft EWI Elektron HB01.230\n\nAbstract\nProcessing-in-Sensor (PIS)
  integrates feature extraction and early processing directly within image 
 sensors to reduce data bandwidth\, power consumption\, and latency. This l
 ecture surveys PIS architectures from in-pixel to in-column and near-senso
 r processing\, and discusses spatial- and temporal-domain feature extracti
 on from a circuit design perspective. The talk highlights how mixed-signal
  in-sensor computing enables always-on and energy-efficient intelligent vi
 sion systems.\n\nAbout the speaker\nChih-Cheng Hsieh received his B.S.\, M
 .S.\, and Ph.D. degrees from National Chiao Tung University\, Taiwan. He i
 s currently a Full Professor at National Tsing Hua University. His researc
 h interests include intelligent CMOS image sensors\, processing-in-sensor 
 architectures\, and energy-efficient data converters. He has served on the
  ISSCC and A-SSCC Technical Program Committees and is an IEEE SSCS Disting
 uished Lecturer.\n\nRoom: EWI Elektron HB01.230\, Delft\, Zuid-Holland\, N
 etherlands
LOCATION:Room: EWI Elektron HB01.230\, Delft\, Zuid-Holland\, Netherlands
ORGANIZER:filip.tavernier@kuleuven.be
SEQUENCE:16
SUMMARY:DL talk by prof. Chih-Cheng Hsieh
URL;VALUE=URI:https://events.vtools.ieee.org/m/583145
X-ALT-DESC:Description: <br /><div class="elementToProof"><strong>Title: Pr
 ocessing-in-Sensor: Circuit Techniques for Intelligent and Energy-Efficien
 t Vision<br>Date and time: 27 October\, 10:30 AM<br>Location: TU Delft EWI
  Elektron HB01.230</strong></div>\n<div class="elementToProof">&nbsp\;</di
 v>\n<div class="elementToProof">Abstract<br>Processing-in-Sensor (PIS) int
 egrates feature extraction and early processing directly within image sens
 ors to reduce data bandwidth\, power consumption\, and latency. This lectu
 re surveys PIS architectures from in-pixel to in-column and near-sensor pr
 ocessing\, and discusses spatial- and temporal-domain feature extraction f
 rom a circuit design perspective. The talk highlights how mixed-signal in-
 sensor computing enables always-on and energy-efficient intelligent vision
  systems.</div>\n<div class="elementToProof">&nbsp\;</div>\n<div class="el
 ementToProof">About the speaker<br>Chih-Cheng Hsieh received his B.S.\, M.
 S.\, and Ph.D. degrees from National Chiao Tung University\, Taiwan. He is
  currently a Full Professor at National Tsing Hua University. His research
  interests include intelligent CMOS image sensors\, processing-in-sensor a
 rchitectures\, and energy-efficient data converters. He has served on the 
 ISSCC and A-SSCC Technical Program Committees and is an IEEE SSCS Distingu
 ished Lecturer.</div>
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