CRML Affiliated Faculty
Professor, Electrical and Computer Engineering
Dr. Pradeep Sen's research focuses on applying machine learning to generative (synthesis) problems in the fields of computer graphics, computational image processing, and computer vision. In computer graphics, he has worked on using machine learning to improve and accelerate the rendering process for computing photorealistic images from scene descriptions. His research team was among the first to apply machine learning to this problem by proposing the world's first learning-based Monte Carlo denoiser, which has led to a wide range of learning-based denoising systems deployed in industry today. He is also interested in other applications in computer graphics, such as content creation and video synthesis. In computer vision, Dr. Sen applies machine learning to problems such as 3D reconstruction from stereo or structure-from-motion, as well as developing novel image enhancement and deconvolution algorithms to solve ill-posed problems in imaging.
Pradeep Sen is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. He graduated from Purdue University with a B.S. in Computer and Electrical Engineering and from Stanford University with an M.S. and Ph.D. in Electrical Engineering. During his Ph.D., he was advised by Dr. Pat Hanrahan and conducted research in real-time rendering and computational photography in the Stanford Graphics Lab. His research interests include algorithms for image synthesis, computational image processing, and computer vision, and he is a co-author of over 50 technical publications, including many at SIGGRAPH and SIGGRAPH Asia. Dr. Sen has been awarded more than $2.2 million in research funding, including an NSF CAREER award in 2009.