Fengbo Ren received a bachelor's degree in electrical engineering from Zhejiang University in 2008, and his master's and doctoral degrees in electrical engineering from the 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 is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM). He serves as a member of the Digital Signal Processing Technical Committee and VLSI Systems and Applications Technical Committee of the IEEE Circuits and Systems Society. 

Ren 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. He also received the Top 5 percent Best Teacher Awards from the Fulton Schools of Engineering at ASU in 2017, 2018, and 2019.