Recognized by an NSF CAREER Award (2025), two NVIDIA Academic Awards (2025, 2024), two IBM Academic Awards (2023, 2021), a Google Research Scholar Award (2021), the Columbia Engineering Morton B. Friedman Memorial Prize for Excellence (2021), the Columbia University Eli Jury Award (2021), a Facebook Fellowship (2019), and a Wei Family Private Foundation (WFPF) Fellowship (2014). Received multiple paper awards from IEEE/Optica OFC’24 (Top-Scored Paper), IEEE/Optica OFC’23 (Top-Scored Paper), ECOC’23 (Best Paper Award), ACM CoNEXT’16 (Best Paper Award), ACM MobiHoc’19 (Best Paper Finalist), and IEEE MTT-S IMS’19 (Advanced Practice Paper Finalist). Ph.D. thesis received the ACM SIGMOBILE Dissertation Award Runner-up. WiLO Networks Inc. has been supported by NSF SBIR Phase I and Phase II Awards (TI-2108012 and TI-2345381).
Research Experience
Nortel Networks assistant professor of Electrical & Computer Engineering with a secondary appointment in Computer Science at Duke University. Directs the FuNCtions Lab, working with a group of talented students on various projects cutting across the networking, communication, sensing, and energy-efficient computing aspects of wireless, mobile, optical, and quantum networked systems. Also a co-founder and advisor of WiLO Networks Inc., a start-up focusing on low-power sensor hardware and end-to-end systems.
Education
Ph.D. in Electrical Engineering from Columbia University in 2020 (advisor: Prof. Gil Zussman); B.Eng. in Electronic Engineering from Tsinghua University in 2014 (advisors: Prof. Zhisheng Niu and Prof. Sheng Zhou). Postdoc in the Department of Electrical Engineering at Yale University in 2020–2021, working with Prof. Leandros Tassiulas and Prof. Lin Zhong.
Background
Interests include future wireless, mobile, optical, and quantum networks as well as intelligent IoT systems. Recent research focuses on both theoretical and experimental aspects of massive antenna systems and millimeter-wave networks, optical and quantum networks, and spectrum sharing systems, and their convergence with edge cloud, energy-efficient computing, and AI/ML. Also enjoys building efficient hardware-software systems and experimental testbeds at scale.
Miscellany
Always looking for motivated and creative B.S., M.S., Ph.D. students, and Postdocs to join the group in Duke ECE.