Research Bio
Ren Ng is a professor in Electrical Engineering and Computer Science at the University of California, Berkeley. His research interests are in imaging, graphics, computer vision, human vision and artificial intelligence. Prior to Berkeley, Ren was founder and CEO of Lytro, Inc., which commercialized his Ph.D. research and brought consumer light field cameras to market. Ren completed his Ph.D. in computer science at Stanford University, and received the ACM Doctoral Dissertation Award and Stanford's Arthur Samuel Award. Ren has received the Jim and Donna Gray Faculty Award for Undergraduate Teaching, Hellman Faculty Fellowship, Sloan Research Fellowship, the HIPA Photographic Research Award, PMDA Technical Achievement Award, R.I.T.'s Imaging Hall of Fame, the Selwyn Award from the Royal Photographic Society, MIT Tech Review's TR35 and Entrepreneur of the Year, Fast Company's 100 Most Creative People in Business, and Silicon Valley Journal's 40 under 40.
Research Expertise and Interest
imaging systems, computational photography, graphics, optics, computer vision, human vision, signal processing, artificial intelligence
In the News
Scientists Trick the Eye Into Seeing New Color ‘Olo’
Featured in the Media
Study author James Fong, a computer science graduate student, and Ren Ng, a professor in Electrical Engineering and Computer Science, discuss the new color.
Teaching
Individual Research [COMPSCI 299]
Professional Preparation: Supervised Teaching of Computer Science [COMPSCI 399]
Professional Preparation: Supervised Teaching of Computer Science [COMPSCI 399]
Individual Research [ELENG 299]
Supervised Independent Study [COMPSCI 199]
Individual Research [COMPSCI 299]
Senior Honors Thesis Research [COMPSCI H196A]
Individual Research [ELENG 299]
Foundations of Computer Graphics [COMPSCI 184]
Supervised Independent Study [COMPSCI 199]
Foundations of Computer Graphics [COMPSCI 284A]
Individual Research [COMPSCI 299]
Professional Preparation: Supervised Teaching of Computer Science [COMPSCI 399]
Professional Preparation: Supervised Teaching of Computer Science [COMPSCI 399]
Individual Research [ELENG 299]