Peter van Beek

 Ph.D., Electrical Engineering, Delft University of Technology

 Intel Corp, Imaging and Camera Group, Santa Clara, CA. 

Peter van Beek is a senior algorithms engineer with the Intel Imaging and Camera Group. He is supporting development of efficient deep learning inference engines as well as optimization of camera imaging pipelines for computer vision tasks and image quality. 

Previously, he was with the Autonomous Driving Group at Intel / Mobileye, where he supported development of Mobileye's data collection and driving scenario simulation technology for safe autonomous vehicles.  

Before joining Intel, Peter was a technical lead and group manager at Sharp Laboratories of America (Camas, WA).  His team researched and developed technology in the areas of vision-based navigation for mobile robot applications and image/video processing for ultra-high definition (4K and 8K) and HDR TV.  At Sharp Labs, he also developed image/video/vision technology for automated visual inspection; security cameras; network streaming; and video indexing, search, and personalized viewing applications. 

From 1996 to 1998, he was a visiting research associate with the Department of Electrical and Computer Engineering at the University of Rochester, Rochester, NY.

He is (co-)author of over 50 technical papers in peer-reviewed conferences and journals, and wrote several book chapters.  He is also (co-)inventor of over 60 granted U.S. patents in the areas of computer vision, image/video processing, and video streaming.  Peter contributed technology to the MPEG-4 and MPEG-7 standards, and TV-Anytime Forum specification, and was a co-editor of the MPEG-7 standard. 

He is a senior member of the IEEE, and alumnus of the National Academy of Engineering’s 2012 Frontiers of Engineering Symposium.

Peter received the M.Sc.Eng. and Ph.D. degrees in Electrical Engineering from the Delft University of Technology, the Netherlands, in 1990 and 1995, respectively.