Cat P. Le received the B.S. degree with Summa Cum Laude in electrical and computer engineering from Rutgers University, in 2016 and the M.S. degree in electrical engineering from California Institute of Technology (Caltech), in 2017. He is currently pursuing a Ph.D. degree in electrical and computer engineering at Duke University, under the supervision of Dr. Vahid Tarokh.
His research interest includes image processing, computer vision, machine learning, with a focus on transfer learning, and neural architecture search. His awards and honors include the Matthew Leydt Award, John B. Smith Award, Nikola Tesla Scholar, Rutgers University Outstanding Engineering Scholar, E. M. Toomey Scholarship. He is a member of the Tau Beta Pi, Eta Kappa Nu honor societies.
Current Research Interests
Machine Learning, Computer Vision, Signal Processing, Applied Statistics
Current Appointments & Affiliations
Advising & Mentoring
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