Spintronics Memory, Logic Devices and Circuits for Neuromorphic Computing SystemsApply
In this project, the interns will work with senior PhD students and one postdoc on developing a platform for the emerging field of neuromorphic (aka brain-inspired) computing, based on beyond-CMOS devices, namely spintronics memory cells and logic gates. This project tries to address the well-known problems of the dominant CMOS technology, such as increased leakage, power density and reaching the limits of scaling. The project includes modelling, simulation, fabrication, characterization and system integration, and the intern(s) will have the opportunity to get involved in some or all stages of the work.
Program - Electrical Engineering
Division - Computer, Electrical and Mathematical Sciences and Engineering
Field of Study - Electrical Engineering, Microelectronics, Spintronics
Assistant Professor, Electrical and Computer Engineering
Professor Fariborzi's research interests include design, modeling and optimization of ultra-low power integrated circuits and systems (mixed-signal/digital), implemented with emerging switching technologies. In particular, he's interested in a fusion of the mainstream switching devices (CMOS) and a range of novel solutions, such as electromechanical nanorelays and nanoresonators, spintronic-based devices, memristors. He's also exploring the application of such devices and systems in the field of biomedical instrumentation and wireless, wearable healthcare.