I am the Nortel Networks Assistant Professor of Electrical & Computer Engineering with a secondary appointment in Computer Science at Duke University. I direct the FuNCtions Lab, working with a group of talented students on projects across the networking, communication, sensing, and energy-efficient computing aspects of wireless, mobile, optical, and quantum networked systems.

My 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. I enjoy building efficient hardware–software systems and experimental testbeds at scale.

Before joining Duke in Fall 2021, I was a postdoc in Electrical Engineering at Yale University (2020–2021), working with Prof. Leandros Tassiulas and Prof. Lin Zhong. I received my Ph.D. in Electrical Engineering from Columbia University in 2020 (advisor: Prof. Gil Zussman) and my B.Eng. in Electronic Engineering from Tsinghua University in 2014.

I am always looking for motivated B.S., M.S., Ph.D. students and Postdocs to join my group at Duke ECE. If interested, email me your CV, transcript, and a brief note on your research interests.

Research areas

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Selected publications

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News

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Jun 26, 2026

A paper on 5G mmWave ISAC through sub-symbol beam switching with CSI extraction and reconstruction was accepted to IEEE Transactions on Mobile Computing (TMC). A preliminary version of the work was also presented at IEEE MTT-S RFSA’26.

Jun 15, 2026

Received the Thomas Lord Educational Innovation Grant Program award from Duke’s Pratt School of Engineering, which will support the expansion of my full-stack IoT systems course to incorporate emerging edge AI and physical AI topics and hands-on labs.

Jun 15, 2026

One paper on fiber sensing-based borehole seismic velocity profiling was accepted to ECOC’26. This paper was based on a field trial we conducted at the Newberry Well, OR.

Jun 2, 2026

Yiming Li received the ECE Outstanding Graduate Teaching Assistant Awards for the 2025–2026 academic year! Yiming served as the teaching assistant in my ECE 655/CompSci 655 “Full-Stack IoT Systems” course. Congratulations!

May 27, 2026

Invited to attend the AI-RAN 2026 May Member Meeting in Chandler, AZ, and participated in panel on “Data-for-AI (D-4-AI) Academic Perspectives”.

Apr 20, 2026

Sam Rivera received the pretigious National Defense Science and Engineering Graduate (NDSEG) fellowship, which supports outstanding graduate students pursuing cutting-edge research in science and engineering. Congratulations!

Talks

Dec. 2025
IoT-MCP: Design and Control IoT Systems via LLMs — Education Track at NeurIPS
Nov. 2025
Scalable and Real-time Baseband Processing using Heterogeneous Compute Resources — First OAI Foundation U.S. Hands-on Workshop
Oct. 2025
Scalable Wireless Digital Twins and ML for High-fidelity RF Signal Mapping — NextG Alliance / Wireless Institute, Univ. of Notre Dame
June 2025
Scalable Wireless Digital Twins for High-fidelity RF Signal Mapping — Nokia Bell Labs & Samsung Research America
Apr. 2025
Toward Intelligent and Efficient Optical Networks — MIT Optics and Quantum Electronics (OQE) Seminar
Mar. 2025
Scalable ML Models for Optical Transmission System Management — IEEE/Optica OFC

Acknowledgments

Our research projects are supported in part by grants from NSF (CAREER, CIRC GRAND/ENS, CC* Integration-Large, NewSpectrum, EAGER, SII-NRDZ, CISE Core, SWIFT, and Athena AI Institute for Edge Computing), ARO (W911NF2510241), SRC/DARPA JUMP 2.0 Center for Ubiquitous Connectivity (CUbiC), Duke Science & Technology Initiative and Pratt School of Engineering, as well as grants and gifts from ACM SIGMOBILE, Enegis, Google, IBM, NEC Labs America, NTT, and NVIDIA. The findings, positions, or opinions of our research projects do not necessarily represent the official policy of any of these organizations.