Scholar
Fengbo Ren
Google Scholar ID: f-wp99AAAAAJ
Associate Professor, Arizona State University
Citations & Impact
Citations
2,183
H-index
21
i10-index
33
Publications
20
Co-authors
76
list available
Resume (English only)
Academic Achievements
- Received the Broadcom Fellowship in 2012; the prestigious National Science Foundation (NSF) Faculty Early Career Development (CAREER) Award in 2017; the Google Faculty Research Award in 2018; and the Top 5 percent Best Teacher Awards from the Fulton Schools of Engineering at ASU in 2017, 2018, and 2019.
Research Experience
- Currently an Associate Professor in the School of Computing and Augmented Intelligence at Arizona State University, directing the Parallel Systems and Computing Laboratory (PSCLab), and affiliated with the NSF Industry/University Cooperative Research Center for Embedded Systems.
Education
- Ph.D. in Electrical Engineering from the University of California, Los Angeles in 2015; M.S. in Electrical Engineering from the University of California, Los Angeles in 2010; B.Eng. in Electrical Engineering from Zhejiang University, China in 2008.
Background
- Research interests include hardware acceleration, embedded, reconfigurable, and parallel computing solutions for data analytics and information processing, energy-efficient computing, data-driven compressive sensing, and hardware-friendly machine learning.
Miscellany
- Senior member of both IEEE and ACM; member of the Digital Signal Processing Technical Committee and VLSI Systems & Applications Technical Committee of the IEEE Circuits and Systems Society.
