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Fengbo Ren

Asst Professor
Faculty, TEMPE Campus, Mailcode 8809
Biography

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/edge node 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.

Education

Ph.D., Electrical Engineering, University of California, Los Angeles, 2014
M.S., Electrical Engineering, University of California, Los Angeles, 2010
B.Eng., Electrical EngineeringZhejiang University, 2008

Research Interests

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.

Research Activity

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 NumberCourse Title
CSE 320Design/Syn Digital Hardware
CEN 580Practicum
CSE 580Practicum
CEN 584Internship
EEE 590Reading and Conference
CEN 598Special Topics
EEE 599Thesis
CEN 790Reading and Conference
CEN 792Research
Summer 2017
Course NumberCourse Title
CEN 584Internship
CEN 790Reading and Conference
CEN 792Research
Spring 2017
Course NumberCourse Title
ASU 101-CSEThe ASU Experience
CSE 492Honors Directed Study
CSE 493Honors Thesis
CEN 580Practicum
EEE 592Research
CEN 598Special Topics
CEN 790Reading and Conference
CEN 792Research
Fall 2016
Course NumberCourse Title
CSE 320Design/Syn Digital Hardware
CSE 492Honors Directed Study
CEN 580Practicum
CEN 792Research
Spring 2016
Course NumberCourse Title
CEN 580Practicum
EEE 592Research
CEN 598Special Topics
CEN 792Research
Fall 2015
Course NumberCourse Title
CSE 320Design/Syn Digital Hardware
CEN 580Practicum
CEN 792Research
Honors / Awards
  • Broadcom-UCLA Fellow, awarded by Broadcom Inc., 2012.
  • NSF Faculty Early Career Development (CAREER) Award, awarded by National Science Foundation (NSF), 2017