Fengbo Ren received the B.Eng. degree in Electrical Engineering from Zhejiang University in 2008, and the M.S. and Ph.D. degree in Electrical Engineering from University of California, Los Angeles, in 2010 and 2014, respectively. He joined the School of Computing, Informatics and Decision Systems Engineering at Arizona State University as an Assistant Professor in January 2015. He is directing the Parallel Systems and Computing Laboratory (PSCLab), and he is affiliated with the NSF Industry/University Cooperative Research Center for Embedded Systems. His current research focuses on bringing energy efficiency and data/signal intelligence into a wide spectrum of today’s computing infrastructures, from data center server systems to wearable/IoT devices.
He received the Broadcom Fellowship in 2012, the NSF Faculty Early Career Development (CAREER) Award in 2017, and the Google Faculty Research Award in 2018. He is a member of the Technical Committees of Digital Signal Processing and VLSI Systems & Applications in the IEEE Circuits and Systems Society.
Parallel Systems and Computing Laboratory (PSCLab)
Ph.D., Electrical Engineering, University of California, Los Angeles, 2014
M.S., Electrical Engineering, University of California, Los Angeles, 2010
B.Eng., Electrical Engineering, Zhejiang University, 2008
Hardware acceleration, embedded, reconfigurable, and parallel computing solutions for data analytics and information processing, energy-efficient computing, data-driven compressive sensing, hardware-friendly machine learning.
Honors and Awards
Broadcom-UCLA Fellow, awarded by Broadcom Inc., 2012.
NSF Faculty Early Career Development (CAREER) Award, awarded by National Science Foundation (NSF), 2017
Google Faculty Research Award, awarded by Google LLC, 2018
Technical Committee Member, IEEE Circuits and Systems Society – Digital Signal Processing Technical Committee , 2016-now
Technical Committee Member, IEEE Circuits and Systems Society – VLSI Systems & Applications Technical Committee, 2016-now