Kurt Keutzer is a professor in the EECS department of UC Berkeley. Kurt received his Ph.D. degree in Computer Science from Indiana University in 1984 and then joined the research division of ATT Bell Laboratories. In 1991 he joined Synopsys, Inc. where he ultimately became Chief Technical Officer and Senior Vice-President of Research. In 1998 Kurt became Professor of Electrical Engineering and Computer Science at the University of California at Berkeley. Kurt’s research group is currently focused on using parallelism to accelerate the training and deployment of Deep Neural Networks for applications in computer vision, speech recognition, multi-media analysis, and computational finance. Kurt has published six books, over 250 refereed articles, and is among the most highly cited authors in Hardware and Design Automation. Kurt was elected a Fellow of the IEEE in 1996.
Deep Learning
Machine Learning
Parallel Programming Languages, Libraries, and Models
Scalable Computing
Sparse Computation
BSP Finalist
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