Events Calendar

EE-Electrophysics Seminar

Speaker: Suma George, Georgia Institute of Technology

Talk Title: Reconfigurable Mixed Signal Neuromorphic Architectures

Abstract: Many decades ago, Carver Mead established the foundations of neuromorphic systems. Neuromorphic systems are analog circuits that emulate biology. These circuits utilize subthreshold dynamics of CMOS transistors to mimic the behavior of neurons. The objective is to not only simulate the human brain, but also to build useful applications using these bio-inspired circuits for ultra low power speech processing, image processing, and robotics. This can be achieved using reconfigurable hardware, like field programmable analog arrays (FPAAs), which enable configuring different applications on a cross platform system. As digital systems saturate in terms of power efficiency, this alternate approach has the potential to improve computational efficiency by approximately eight orders of magnitude. These systems, which include analog, digital, and neuromorphic elements combine to result in a very powerful reconfigurable processing machine.

Biography: Suma George completed her PhD and M.S. in Electrical and Computer Engineering at Georgia Institute of Technology in 2015 and 2011 respectively. Her research interests are in the areas of neuromorphic systems, reconfigurable architectures, system IC design, mixed signal CAD tools, and speech recognition applications. She also has industry experience, working at Blackberry designing new system architectures as well as being part of a startup nSys (later acquired by Synopsis) modeling 100/40 GHz ethernet systems. In her spare time, she is an avid vocalist, amateur guitarist, and loves to compose music.

Host: EE-Electrophysics

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

Audiences: Everyone Is Invited

Contact: Marilyn Poplawski