Georgios Dimou

Research & Engineering

I enjoy designing custom hardware to efficiently solve problems that existing architectures cannot. I find every step in the process equally interesting from inception, to architecture and ultimately to physical implementation. On the implementation side I am always interested in applying asynchronous circuit design techniques as part of the design process. Currently, I am working on low-power processor and inference solutions. The long term goal is to enable computationally demanding applications in extremely small power envelopes and push more intelligent solutions to the edge.

Background

Dr. Georgios D. Dimou is a Hardware Researcher at Galois Inc. He has 20+ years of experience in hardware design with expertise spanning from architecture to implementation. On the architecture side his research interests include the fields of telecommunication, signal processing and in more recent years AI and Neuromorphic computing. On the implementation side he has led several commercial and research projects in asynchronous circuit design with particular emphasis on low-power design techniques.

Previously, Georgios was part of Reduced Energy Microsystems where he worked on low-power machine vision. Prior to that, he was part of Intel, initially as part of the Datacenter group and later at Intel Labs. Most notable work there includes the Loihi neuromorphic processor architecture and implementation. Earlier Georgios spent time doing research on asynchronous circuits and EDA tools, which included co-founding TimeLess Design Automation in order to bring the technology to market. TimeLess design automation was acquired in 2010 by Fulcrum and later Intel in 2011. Before that he spent 8 year in telecommunications at TrellisWare Technologies, creating industry-leading hardware implementations for advanced Forward Error Correcting codes and signal processing.

 

Dr. Dimou holds a BS in Electronic and Computer Engineering from the Technical University of Crete in Greece, and MS and PhD degrees in Electrical and Computer Engineering from the University of Southern California.