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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, and the NSF Faculty Early Career Development (CAREER) Award in 2017. He is a member of the Technical Committees of Digital Signal Processing and VLSI Systems & Applications in the IEEE Circuits and Systems Society.
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.
Ren,Fengbo,
CAREER: Building Energy-Efficient IoT FrameworksA DataDriven and Hardware-Friendly Approach Tailored for Wearable Applications.
NSF-CISE-IIS (2/15/2017 - 1/31/2022)
Zhao,Ming, Candan,Kasim Selcuk, Davulcu,Hasan, He,Jingrui, Li,Baoxin, Liu,Huan, Maciejewski,Ross, Ren,Fengbo, Tong,Hanghang,
II-New: GEARS - An Infrastructure for Energy-Efficient Big Data Research on Heterogenous and Dynamic Data.
NSF-CISE-CRI (9/1/2016 - 8/31/2019)
Ren, Fengbo, Vrudhula, Sarma
CES Project: Building Data-Driven Compressive Sensing Based Wireless Sensor Node for Personalized IoT.
Center for Embedded Systems (CES) (8/1/16 → 8/31/17)
Ren,Fengbo,
Building Energy-Efficient Data Center Accelerator for Deep Neuron Network by Harnessing the Power of Multi-FPGA Cluster.
CISCO SYSTEMS INC (4/4/2016 - 12/31/2017)
Ren, Fengbo, Vrudhula, Sarma
CES Project: Building Energy-Efficient Adaptive and Secure Wireless Sensor Node By Harnessing Randomness.
Center for Embedded Systems (CES) (8/1/15 → 8/31/16)
| Fall 2017 | |
|---|---|
| Course Number | Course Title |
| CSE 320 | Design/Syn Digital Hardware |
| CEN 580 | Practicum |
| CSE 580 | Practicum |
| CEN 584 | Internship |
| EEE 590 | Reading and Conference |
| CEN 598 | Special Topics |
| EEE 599 | Thesis |
| CEN 790 | Reading and Conference |
| CEN 792 | Research |
| Summer 2017 | |
|---|---|
| Course Number | Course Title |
| CEN 584 | Internship |
| CEN 790 | Reading and Conference |
| CEN 792 | Research |
| Spring 2017 | |
|---|---|
| Course Number | Course Title |
| ASU 101-CSE | The ASU Experience |
| CSE 492 | Honors Directed Study |
| CSE 493 | Honors Thesis |
| CEN 580 | Practicum |
| EEE 592 | Research |
| CEN 598 | Special Topics |
| CEN 790 | Reading and Conference |
| CEN 792 | Research |
| Fall 2016 | |
|---|---|
| Course Number | Course Title |
| CSE 320 | Design/Syn Digital Hardware |
| CSE 492 | Honors Directed Study |
| CEN 580 | Practicum |
| CEN 792 | Research |
| Spring 2016 | |
|---|---|
| Course Number | Course Title |
| CEN 580 | Practicum |
| EEE 592 | Research |
| CEN 598 | Special Topics |
| CEN 792 | Research |
| Fall 2015 | |
|---|---|
| Course Number | Course Title |
| CSE 320 | Design/Syn Digital Hardware |
| CEN 580 | Practicum |
| CEN 792 | Research |