Theocharis Theocharides

Registered user since Tue 15 Jun 2021

Name:Theocharis Theocharides

Theocharis (Theo) Theocharides is an Associate Professor in the Department of Electrical and Computer Engineering, at the University of Cyprus and a faculty member of the KIOS Research and Innovation Center of Excellence where he serves as the Research Director. Theocharis received his Ph.D. in Computer Engineering from Penn State University, working in the areas of low-power computer architectures and reliable system design, where he was honored with the Robert M. Owens Memorial Scholarship, in May 2005. He has been with the Electrical and Computer Engineering department at the University of Cyprus since 2006, where he directs the Embedded and Application-Specific Systems-on-Chip Laboratory. His research focuses on the design, development, implementation, and deployment of low-power and reliable on-chip application-specific architectures, low-power VLSI design, real-time embedded systems design and exploration of energy-reliability trade-offs for Systems on Chip and Embedded Systems. His focus lies on acceleration of computer vision and artificial intelligence algorithms in hardware, geared towards edge computing, and in utilizing reconfigurable hardware towards self-aware, evolvable edge computing systems. His research has been funded by several National and European agencies and the industry, and he is currently involved in over ten funded research projects. He serves on several organizing and technical program committees of various conferences (currently serving as the Application Track Chair for the DATE Conference), is a Senior Member of the IEEE and a member of the ACM. Theo is currently an Associate Editor for IEEE Consumer Electronics magazine, ACM Transactions on Emerging Technologies in Computer Systems, IET’s Computers and Digital Techniques, the ETRI journal and Springer Nature Computer Science. He also serves on the Editorial Board of IEEE Design & Test magazine.

Affiliation:University of Cyprus
Research interests:Embedded Computer Vision, Embedded Machine Learning, Embedded Systems , Edge Intelligence


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