OpenCV.js: Unleash Computer Vision Web Development

Mohammad (Moh) Haghighat is an expert in web technologies, HTML5, and ambient computing. He joined Intel in 1995 as a charter member of Intel Research and led Intel’s HTML5 technical strategy, including early collaboration with Mozilla* for the first JavaScript* just-in-time (JIT) compiler for Firefox* and the first concurrent JavaScript JIT compiler. Additionally, he created the first prototype of Intel® Parallel Advisor, an interactive tool that harnesses the full power of multicore platforms. He also authored Symbolic Analysis for Parallelizing Compilers, available on Amazon*.

Moh holds a BS in computer science and engineering from Shiraz University (Iran), and a PhD in computer science from the University of Illinois.

Henry is a senior principal engineer in the Intel Software and Services Group, Developer Products Division, and is the editor of The Parallel Universe, Intel’s quarterly magazine for software innovation. He first joined Intel in 2000 to help drive parallel computing inside and outside the company. He transferred to Intel Labs in 2010 to become the program manager for various research programs in academia, including the Universal Parallel Computing Research Centers at the University of California at Berkeley and the University of Illinois at Urbana-Champaign. Prior to joining Intel, Henry was Director of Scientific Computing at the U.S. Army Engineer Research and Development Center MSRC, a Department of Defense high-performance computing facility. Henry holds a B.S. in biochemistry from Louisiana State University, an M.S. in medical informatics from the Northwestern Feinberg School of Medicine, and a PhD in molecular genetics from the University of Alabama at Birmingham School of Medicine. He has published extensively in computational life science and high-performance computing. Henry recently rejoined Intel after spending four years working on a second PhD in information science at the University of Illinois at Urbana-Champaign, where he established an expertise in applied informatics and machine learning for problems in healthcare and chemical exposure.