Stanley H. Chan

SC 

Elmore Associate Professor of Electrical and Computer Engineering and Associate Professor of Statistics
Purdue University

Contact Information:
School of Electrical and Computer Engineering,
465 Northwestern Ave,
West Lafayette, IN 47907-2035.

Office: MSEE 338
Phone: +1 (765) 496 0230
Email: stanchan AT purdue DOT edu

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Education

  • Postdoctoral Research Fellow, Harvard University, 2012-2014

  • PhD in Electrical Engineering, University of California, San Diego, 2011

  • MA in Mathematics, University of California, San Diego, 2009

  • BEng in Electrical Engineering, University of Hong Kong, 2007

Bio Sketch

Stanley H. Chan is currently an Elmore Associate Professor in the School of Electrical and Computer Engineering and the Department of Statistics at Purdue University, West Lafayette, IN.

Dr. Chan received the Ph.D. degree in Electrical Engineering and the M.A. degree in Mathematics from the University of California at San Diego, in 2011 and 2009, respectively, and the B.Eng. degree (with first class honor) in Electrical Engineering from the University of Hong Kong in 2007. He was a postdoctoral research fellow at Harvard John A. Paulson School of Engineering and Applied Sciences from 2012 to 2014. He joined Purdue University in 2014.

Dr. Chan is the recipient of the IEEE Signal Proecssing Society Best Paper Award 2022 for the Plug-and-Play ADMM paper he co-authored with students Xiran Wang and Omar Elgendy. He is also the recipient of the Best Paper Award in IEEE International Conference on Image Processing 2016 (with PhD student Omar Elgendy). He has won numerous teaching awards, including the Ruth and Joel Sipra Outstanding Teaching Award in 2019, Purdue College of Engineering Exceptional Early Career Teaching Award in 2019, Purdue Teaching for Tomorrow Fellow, 2018, Eta Kappa Nu (HKN) Purdue Outstanding Professor Award in 2018, Purdue College of Engineering Outstanding Graduate Mentor Award in 2016, and Eta Kappa Nu (HKN) Purdue Outstanding Teaching Award 2015. Prior to joining Purdue, he was a recipient of the Croucher Foundation Postdoctoral fellowship, and the Croucher Foundation PhD Scholarship.

He is currently serving on the editorial board of the IEEE Transactions on Computational Imaging (Associate Editor 2019-2022, Senior Area Editor 2022-present), and IEEE Open Journal on Signal Processing (Senior Area Editor, 2022-present). He was a former Associate Editor of the OSA Optics Express (2016-2019). Dr. Chan is an elected member of the IEEE Signal Processing Society Technical Committee on Image, Video, and Multidimensional Signal Processing (2022-present). Previouly, he was an elected member of the IEEE Signal Processing Society Technical Committee on Computational Imaging (2015-2021). He is the recipient of the IEEE Signal Processing Society Outstanding Editorial Board Award 2021, and the CVPR 2022 Outstanding Reviewer Award.

Dr. Chan does research in computational imaging. His research mission is to build intelligent cameras by co-desigining sensors and algorithms to enable seeing in all imaging conditions. His research is supported by the National Science Foundation, Air Force Research Lab, Army Research Office, and other federal and industrial sponsors.

Professional Service

Awards

  • Samsung Global Research Outreach Award, 2022

  • Best Paper Award, IEEE Signal Processing Society, 2022

  • Outstanding reviewer for CVPR 2022

  • IEEE Signal Processing Society Outstanding Editorial Board Member 2021

  • Ruth and Joel Spira Outstanding Teaching Award 2019

  • Purdue College of Engineering Exceptional Early Career Teaching Award 2019

  • Purdue Teaching for Tomorrow Fellow, 2018

  • Eta Kappa Nu (HKN) Purdue Outstanding Professor Award, 2018

  • Best Paper Award, IEEE ICIP 2016

  • Second Prize, IEEE Signal Processing Cup 2016

  • Purdue College of Engineering Outstanding Graduate Mentor Award, 2016

  • Eta Kappa Nu (HKN) Purdue Outstanding Teaching Award, 2015

  • Croucher Foundation Postdoc Fellowship 2012-2013

  • Croucher Foundation PhD Scholarship 2008-2010