Genov R

Biography

Roman Genov received the B.S. degree in Electrical Engineering from Rochester Institute of Technology, NY in 1996 and the M.S.E. and Ph.D. degrees in Electrical and Computer Engineering from Johns Hopkins University, Baltimore, MD in 1998 and 2003 respectively. Prof. Genov held engineering positions at Atmel Corporation, Columbia, MD in 1995 and Xerox Corporation, Rochester, NY in 1996. He was a visiting researcher in the Laboratory of Intelligent Systems at Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland in 1998 and in the Center for Biological and Computational Learning at Massachusetts Institute of Technology, Cambridge, MA in 1999. He has been on faculty of The Edward S. Rogers Sr. Department of Electrical & Computer Engineering at the University of Toronto since 2002. Prof. Genov’s research interests include analog and digital VLSI circuits, systems and algorithms for energy-efficient signal processing with applications to electrical, chemical and photonic sensory information acquisition, biosensor arrays, neural interfaces, parallel signal processing, adaptive computing for pattern recognition, and implantable and wearable biomedical electronics. Roman Genov received the B.S. degree in Electrical Engineering from Rochester Institute of Technology, NY in 1996 and the M.S.E. and Ph.D. degrees in Electrical and Computer Engineering from Johns Hopkins University, Baltimore, MD in 1998 and 2003 respectively. Prof. Genov held engineering positions at Atmel Corporation, Columbia, MD in 1995 and Xerox Corporation, Rochester, NY in 1996. He was a visiting researcher in the Laboratory of Intelligent Systems at Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland in 1998 and in the Center for Biological and Computational Learning at Massachusetts Institute of Technology, Cambridge, MA in 1999. He has been on faculty of The Edward S. Rogers Sr. Department of Electrical & Computer Engineering at the University of Toronto since 2002. Prof. Genov’s research interests include analog and digital VLSI circuits, systems and algorithms for energy-efficient signal processing with applications to electrical, chemical and photonic sensory information acquisition, biosensor arrays, neural interfaces, parallel signal processing, adaptive computing for pattern recognition, and implantable and wearable biomedical electronics.

Research Interest

Electronics, Biomedical Engineering