Ph.D. in Computer Science and Engineering, University of Michigan (2012)
M.S. in Computer Science and Engineering, University of Michigan (2009)
B.S. in Computer Science and Engineering, Shanghai Jiao Tong University (2007)
Feng Qian joined the Department of Computer Science & Engineering in 2018 as an assistant professor. He received his M.S. (2009) and Ph.D. (2012) in computer engineering from the University of Michigan. Prior to joining the University, Qian served as a researcher at AT&T Labs from 2012-14 and as an assistant professor at Indiana University from 2015-18. He received the Digital Technology Initiative Award in 2019 and the Cisco Research Award in 2021.
Qian’s research interests cover the broad areas of intelligent mobile systems (including 5G), virtual, augmented, and mixed reality (VR/AR/MR) systems, cross-layer system design and analysis, application and transport layer protocols, real-world system measurement, and system security.
Research Division
Computing Systems
Current Research
Google Scholar
Ph.D. Graduates
Arvind Narayanan (2021; co-advised with Prof. Zhi-Li Zhang); Xianghang Mi (2020, Indiana University); Xing Liu (2020).
Three papers with Minnesota authors at SIGCOMM 2021
Five CS&E faculty members receive tenure and/or promotion
Collaboration with Cisco explores frontier of data technologies
Qian interviewed for Star Tribune article on 5G in Minneapolis
New papers from CS&E researchers shared at NDSI '21
CS&E research papers accepted to MobiCom 2021
2018: National Science Foundation Faculty Early Career Development Program (CAREER Award)
Selected Grants
Collaborative Research: SaTC: CORE: Medium: Audacity of Exploration: Toward Automated Discovery of Security Flaws in Networked Systems through Intelligent Documentation Analysis
Qian, F.; National Science Foundation; 7/1/22 - 6/30/26
Collaborative Research: CNS Core: Medium: Foundations and Scalable Algorithms for Personalized and Collaborative Virtual Reality Over Wireless Networks
Qian, F.; National Science Foundation; 10/1/21 - 9/30/25
Collaborative Research: CPS: Medium: Transforming Connected and Automated Transportation with Smart Networking, Cooperative Sensing, and Edge Computing
Qian, F.; National Science Foundation; 6/1/21 - 5/31/24