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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Current projects

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Selected publications

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Recent news

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Oct 14, 2026
Lab & Students

Prof. Chen gave a talk on “Scalable Wireless Digital Twins and ML Models for High-Fidelity RF Signal Mapping” at the OAI Foundation Hands-on Workshop at NC State.

Oct 7, 2026
Lab & Students

Zhenzhou Qi successfully defended his Ph.D. dissertation and will join Samsung Research America as a Senior Researcher. Congratulations, Dr. Qi!

Sep 28, 2026
Lab & Students

Prof. Chen served as a panelist on the “RF Data Solutions: Collecting, Storing, Publishing, Leveraging RF Data” panel at the NSF PAWR PI Meeting.

Sep 3, 2026
Funding

FuNCtions lab is part of the $15M renewal of the NSF AI Institute for Edge Computing and Systems (Athena), a 5-year award led by Duke to pursue the theme of “immersive AI in the physical world” across computing systems, foundational AI, physical AI, and applications. [Duke Pratt news]

Aug 26, 2026
Funding

FuNCtions lab is part of a $24M ARO ICE-CEM Center led by Duke focusing on inducing cyber and physical effects in unmanned aerial systems via cyber-EM convergence.

Aug 25, 2026
Funding

Prof. Chen is a co-PI of a 3-year, $4.1M NSF VINES Track 2 award on AReS, which aims to assess, restore, and support post-disaster connectivity and situational awareness through AI-enabled ISAC and ISAC-AR integration. This project is led by Princeton University, in collaboration with UC Santa Barbara, UW-Madison, and Ericsson.

Aug 23, 2026
Publications

A paper on in-situ radar sensing on 5G base stations with zero-shot template generation was accepted to ACM MobiHoc’26. [arXiv]

Aug 14, 2026
Funding

FuNCtions lab received a grant from ARO to work on real-time, scalable, and programmable radio architectures based on the RFSoC platforms leveraging AI and agentic workflows.

Aug 11, 2026
Funding

Prof. Chen is the PI of a $9M grant from ARO focused on RAPTORS–Rapid Analog Processing for Tactical Observation and Opportunistic Radio Spectrum Access. In collaboration with Professors Miroslav Pajic and David Smith (Duke), Arun Natarajan (Yale), Aravind Nagulu (Northeastern), and Raytheon BBN Technologies, this project aims to build intelligent sensing radios and networks with low SWaP-C.

Aug 7, 2026
Publications

A paper on optimizing arbitrary RF containment using tactical aerial networks and differentiable ray tracing was accepted to IEEE MILCOM’26.

Selected 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 (VINES Track 1, VINES Track 2, CAREER, CIRC GRAND/ENS, CC* Integration-Large, NewSpectrum, EAGER, SII-NRDZ, CISE Core, SWIFT, and Athena AI Institute for Edge Computing), ARO (W911NF-26-2-A165, W911NF-26-2-A164, W911NF-26-2-A158, W911NF-25-1-0241), 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, NVIDIA, and Supermicro. The findings, positions, or opinions of our research projects do not necessarily represent the official policy of any of these organizations.