Rate My Professor Kanad Ghose

Kanad Ghose is a Distinguished Professor and Center Director in the School of Computing at Binghamton University, State University of New York, where he has been a faculty member in Computer Science since 1987. He served as Chair of the Computer Science Department from 1999 to 2016. Ghose earned his B.Tech. and M.Tech. degrees in Electronics Engineering from the University of Calcutta in 1977 and 1980, respectively, followed by an M.S. in 1986 and a Ph.D. in 1988, both in Computer Science from Iowa State University. He is the Site Director for the Center for Energy-Smart Electronic Systems (ES2), an NSF Industry-University Cooperative Research Center, and holds leadership roles in other research centers. Ghose has mentored 21 to 30 Ph.D. students and numerous M.S. students, many of whom have pursued successful careers in industry.

Ghose's research interests encompass computer architecture and parallel processing, power-aware systems, high-performance computing and communication systems, power-aware microarchitectures, computer systems, and cyber-physical systems. He is recognized for contributions in energy-aware computing and architectures, systems security, and sensors for monitoring human biometric parameters. He has authored over 130 peer-reviewed publications, including MARSS: A full system simulator for multicore x86 CPUs (2011, 561 citations), Analytical energy dissipation models for low-power caches (1997, 479 citations), and Flexible hybrid electronics: Direct interfacing of soft and hard electronics for wearable health monitoring (2016, 389 citations). Ghose holds 25 patents, with several licensed and transitioned to industry partners such as Lockheed Martin and BAE Systems. His awards include SUNY Distinguished Professor (2019), Fellow of the National Academy of Inventors (2016), SUNY Chancellor’s Award for Excellence in Scholarship and Creative Activities (2005-06), SUNY Chancellor’s Premier Inventor Award, and IBM Faculty Award. He has secured millions in research funding from federal, state, and industrial sources and co-founded startups in energy-efficient computing.