Professor of electrical engineering with more than four decades of experience in the field of digital image and video processing and digital signal processing.   Has significant expertise in the JPEG image and MPEG video compression standards. His research interests include computer vision, pattern recognition, and machine learning.

Formal Education

  • Ph.D. in Electrical and Computer Engineering, University of Wisconsin
  • M.S. in Electrical and Computer Engineering, University of Wisconsin
  • B.S. in Electrical Engineering, Sharif Institute of Technology, Tehran

Career Highlights

  • At Kodak Research Laboratories, developed various innovative technologies that found their way into numerous products, including for video stabilization, red eye reduction, digital watermarking, several file formats, and the compression technology for the SV9600 Transceiver System (for which work he received an Emmy Award) 
  • Responsible for building a world class research department in the area of semantic understanding of images and video 
  • Chairman of the Coding Efficiency Group (comprising over fifty scientists) of the JPEG-2000 committee from 1998 until 2000
  • Author of book chapters on JPEG compression in medical imaging and digital watermarking
  • Principal investigator (PI) on a $750,000 grant from the U.S. Army Research Lab to conduct research in the area of image and video processing using deep learning 
  • Named inventor on more than forty issued U.S. patents relating to digital imaging technology, from the capture and compression of images and videos, to their enhancement, encoding, and transmission

Expert Qualifications

  • Has been retained as expert by both plaintiffs and defendants in patent litigations relating to technologies used by such companies as Apple, Kodak, Lexmark, Samsung, and USAA bank
  • Retained by Bank of America, Google, Intel, Maxell, and Olympus as a testifying expert in image and video compression expert for various IPRs (Inter Partes Reviews)
  • Hired by various law enforcement agencies, including the FBI and Canadian Royal Police, to train staff video analysts in the methods of image and video processing and compression
  • Hired to serve as an expert witness to digitally enhance a crucial video