معرفی
Stanley Chan is the Elmore Family Professor of Electrical and Computer Engineering at Purdue University, located in West Lafayette. He holds a B.Eng. from the University of Hong Kong (2007), an M.A. in Mathematics from UC San Diego (2009), and a Ph.D. in Electrical Engineering from UC San Diego (2011), followed by a postdoc at Harvard (2012-2014). His research focuses on computational imaging, photon-limited imaging, and statistical signal processing, with particular expertise in turbulence mitigation, generative models, and LiDAR systems. In 2024, he was promoted to full professor and became Chair of the CNSIP area in ECE.
His research lab, the Intelligent Imaging Lab (i2Lab), explores innovative sensors and algorithms for imaging under challenging conditions. Key projects include generative photography, turbulence mitigation via transformers, and high-dynamic-range imaging. Chan’s work has been recognized with awards such as the IEEE Signal Processing Society Best Paper Award (2023) and the Outstanding Engineering Teacher distinction (2021).
Chan advises numerous graduate students, many of whom have successfully defended their theses, and teaches courses on probability, machine learning, and imaging theory. His lab is funded by agencies like DARPA, NSF, and Samsung, with projects addressing topics like adversarial robustness and single-photon sensor reconstruction.
