ACM_Citations
    • Canada-2008

      For contributions to the architecture and computer-aided design of field-programmable gate arrays (FPGAs).

    Experience
    Education
    Bio
    Jonathan Rose is a Professor in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto. He received B.A.Sc. in Engineering Science in 1980, an M.A.Sc in 1984, and the Ph.D. degree in Electrical Engineering in 1986 from the University of Toronto. From 1986 to 1989, he was a Post-Doctoral Scholar and then Research Associate in the Computer Systems Laboratory at Stanford University. In 1989, he joined the faculty of the University of Toronto. He spent the 1995-1996 year as a Senior Research Scientist at Xilinx, in San Jose, CA, and contributed to the development of the Virtex I FPGA architecture. In 1998, he co-founded Right Track CAD Corporation, which delivered architecture and software for FPGAs to FPGA device vendors. He was President and CEO of Right Track until May 1, 2000, when Right Track was acquired by Altera, and became part of the Altera Toronto Technology Centre. He served as Senior Director of Altera Toronto to 2003, where his group shared responsibility for the development of Altera’s FPGAs and software, including the first generations of the Stratix and Cyclone families. He served as Chair of The Edward S. Rogers Sr. Department of Electrical & Computer Engineering from January 2004 through June 2009, and currently serves as Director of the Engineering Business Minor. He was a visiting Professor at Imperial College, in London, in the Fall of 2009, and at the University of California, Berkeley in February, 2010. In May of 2011 he was a visiting Professor at Addis Ababa University in Ethiopia. He is a Senior Fellow of Massey College in the University of Toronto, a Fellow of the IEEE, a Fellow of the ACM, a Fellow of the Canadian Academy of Engineering, and a Foreign Associate of the American National Academy of Engineering. His research covers all aspects of FPGAs including their architecture, Computer-Aided Design (CAD), Field-Programmable Systems, Soft Processors, computer vision and bio-informatics applications of programmable hardware.