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SUMMARY:EE Distinguished Speakers Seminar: Stacked Sensors and Smart Camer
 as
DTSTART:20191213T131500
DTEND:20191213T141500
DTSTAMP:20260916T044020Z
UID:a206cb6f44cabd7d8913daed4c3477e4f818bc78d05b203813bee767
CATEGORIES:Conferences - Seminars
DESCRIPTION:Marilyn Claire Wolf is the new chair of the Department of Comp
 uter Science and Engineering at University of Nebraska-Lincoln\, and began
  her new position on Sept. 1\, 2019. Previously\, Prof. Wolf was the Rhesa
  “Ray” S. Farmer Distinguished Chair of Embedded Computing Systems and
  Georgia Research Alliance Eminent Scholar at the Georgia Institute of Tec
 hnology. Before joining Georgia Tech\, she was a faculty member at Princet
 on University (1989-2007) and also worked at AT&T Bell Laboratories (1984-
 89). Wolf earned bachelor's\, master's\, and doctoral degrees in electrica
 l engineering from Stanford University and is a co-founder of Verificon Co
 rporation in 2003\, which designs smart camera systems. She has developed 
 a number of techniques for embedded computing\, and her research areas hav
 e included embedded systems\, video and computer vision\, and VLSI systems
 . She received the ASEE/CSE and HP Frederick E. Terman Award in 2003\, the
  IEEE Circuits and Systems Society Education Award in 2006\, and the IEEE 
 Computer Society Harry H. Goode Memorial Award in 2019. She is a Fellow of
  the IEEE and ACM\, as well as an IEEE Computer Society Golden Core member
 . She has been elected to Phi Beta Kappa and Tau Beta Pi. \nAbstract: Ad
 vances in 3D VLSI are created a new generation of smart cameras for embedd
 ed computer vision. Stacked sensors include multiple layers for sensing\, 
 conversion\, memory\, and computing. Further advances in sensors have made
  possible multi-band sensors possible that integrate visible\, infrared\, 
 and LIDAR. The rapid advances in neural networks for computer vision need 
 to be adapted harness the full capabilities of stacked sensors. Closed-loo
 p computer vision systems require low latency and high confidence in the r
 esults. This talk will review the CAMEL project by Profs. Mukhopodhyay and
  Wolf. After introducing stacked sensor architectures\, the talk will disc
 uss multi-band computer vision in the presence of challenging environments
 .\n 
LOCATION:ELA 2 https://plan.epfl.ch/?room==ELA%202
STATUS:CANCELLED
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