Divisional Dean, School of Computing
Contact Information
Email: gsingh36@gmu.edu
Phone: 703-993-6882
In the News
Biography
Gurdip Singh became divisional dean of the School of Computing in the College of Engineering and Computing in January 2023. Before his appointment, he served at the National Science Foundation as Director, of the Division of Computer and Network Systems (CNS) in the Computer and Information Science Engineering (CISE) Directorate. where he oversaw 27 program officers, 12 administrative staff, and a budget of $240 million.
Singh earned his MS and PhD in computer science from SUNY, Stony Brook, in 1989 and 1991 respectively, and his BTech in computer science and engineering from the Indian Institute of Technology, Delhi, in 1986. Singh is an accomplished researcher and educator whose experience aligns well with our plans for the growth and development of academic and multidisciplinary research programs in our School of Computing, completion of the Fuse Building at Mason Square, broadening participation in the Tech Talent Investment Program (TTIP), and advancing inclusive excellence throughout the school.
He is a strong advocate of multidisciplinary teaching and research and building academic-industry partnerships. He was instrumental in starting several multidisciplinary programs and academic-industry partnerships at the National Science Foundation (NSF). He has also been involved in significant curriculum development, K-12 outreach, and diversity initiatives.
His research and teaching interests include real-time embedded systems, sensor networks, network protocols, and distributed computing. His research has been funded by NSF, ARO, National Institutes of Health, DARPA, and several industrial organizations. He received the NSF Research Initiation Award in 1992 and the NSF CAREER Award in 1995.
Degrees
- BTech, Computer Science, Indian Institute of Technology (1986)
- MS, Computer Science, SUNY Stony Brook (1989)
- PhD, Computer Science, SUNY Stony Brook (1991)
Research Interests
- Real-time embedded systems
- Sensor networks
- Network protocols
- Distributed computing