News

Aug 08, 2025 Two papers papers were accepted to IEEE MILCOM’25: Multi-channel real-time SDR based on the RFSoC ZCU216 platform in collaboration with Prof. Ali Niknejad’s group, and over-the-air experimentation with Zak-OTFS waveforms using spread pilot in collaboration with Prof. Robert Calderbank’s group.
Aug 07, 2025 Received a grant from ARO (Co-PI: Prof. Dirk Englund) to work on enabling machine intelligence on wireless networks (MIWEN) via ultra-low-power in-physics computing using RF signals and electronics. This is based on our recent work on enabling in-physics computing for deep learning directly at radio frequency, with proof-of-concept results demonstrated in this paper.
Jul 01, 2025 Received the Nortel Networks Professorship from Duke Engineering.
Jul 01, 2025 Received a research grant from NEC Labs America to work on open optical transport system for data center appliations. This project will leverage the programmable Duke BlueFrog optical testbed deployed across the Research Triangle.
Jun 23, 2025 Received an NSF CC* Integration-Large Award (PI: Danyang Zhuo, in collaboration with Duke OIT) to design and deploy an RDMA-based campus network that enables the shared use of distributed, heterogeneous GPUs to accelerate scientific applications and fast access to research data storage.
Jun 18, 2025 Received an NSF CAREER Award to work on enhancing the energy efficiency and scalability of mobile fronthaul networks using analog radio-over-fiber (ARoF) technologies. This project will also leverage the programmable wireless-optical testbeds, including the Duke BlueFrog and PAWR COSMOS platforms, to explore new networks capabilties supported by ARoF.
Jun 17, 2025 An extension of our ACM MobiHoc 2023 paper on the optimization, scheduling, and stability analysis of sectorized wireless networks was accepted to IEEE/ACM Transactions on Networking (TON).
Jun 15, 2025 A paper on our developed light-weight method for enhancing radar point cloud using graph neural networks, particularly in complex and dynamic environments, was accepted to IEEE/RSJ IROS’25.
May 10, 2025 Wei Cheng and Zehao Wang received the ECE Outstanding Graduate Teaching Assistant Awards for the 2024–2025 academic year! Wei and Zehao served as the teaching assistants in my ECE 655/CompSci 655 ``Full-Stack IoT Systems’’ course. Congratulations!
May 01, 2025 Francesco Gringoli and I are co-charing ACM WiNTECH 2025, co-located with ACM MobiCom 2025. Please consider submitting your work!
Apr 15, 2025 Received a research grant from NTT to work on machine learnign tehcnology for resilient optical networks.
Mar 19, 2025 Received an NVIDIA Academic Grant to work on joint communication and sensing leveraging high-fidelity wireless digital twins built using our recently developed Geo2SigMap framework.
Feb 04, 2025 A paper on our developed digital twin framework and generalized deep learning model for signal coverage prediction was accepted to IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).
Jan 07, 2025 A paper on our experiences with building full-duplex radios and their integration in the PAWR COSMOS testbed was accepted to IEEE Transactions on Wireless Communications (TWC).
Dec 20, 2024 Two papers were accepted to OFC’25: (i) Multi-span OSNR and GSNR prediction using cascaded learning (oral), and (ii) Scalable ML models for optical transmission system management (invited talk).
Dec 17, 2024 Received an NVIDIA Academic Grant to work on building high-fidelity 3D world models and wireless digital twins leveraging our recently developed Geo2SigMap framework.
Nov 18, 2024 The Duke FuNCtions Lab is at the ACM MobiCom’24 in Washington, D.C., where we presented two full papers, two workshop papers, five demos, and one poster. [blog post]
Nov 15, 2024 Received a Duke Science and Technology (DST) Launch Seed grant to work on building the Duke quantum networks with colleagues from the Duke Quantum Center.
Sep 01, 2024 Our paper on real-time, efficient baseband processing for mmWave networks was accepted to ACM MobiCom’24. [code]
Aug 31, 2024 Received an award from the NSF NewSpectrum program to work dense and in-situ spectrum monitoring leveraging efficient circuit-system co-design. This is a collaborative project between Duke (lead institute), University of Notre Dame, Northeastern University, and Oregon State University.
Aug 06, 2024 Gave an invited talk at the OPTICA webinar about our work on optical network performance modeling and optimization. [link to talk video]
Jun 13, 2024 Received a grant from Duke Engineering’s Beyond the Horizon Initiative to develop a dark fiber network for hybrid quantum-classical experimental research. This is a collaborative project with the Duke Quantum Center (DQC) and Duke Office of Information Technology (OIT).
Apr 24, 2024 Zeyu (Michael) Li received the 3rd Place Winner in the Spring 2024 ECE Independent Study Poster Session.
Mar 28, 2024 One postdeadline paper accepted to OFC’24 on the first field demonstration of 4D optical link tomography using transponder capable of distance, time, frequency, and polarization-resolved monitoring.
Mar 13, 2024 Our OFC’24 paper on multi-span optical power spectrum prediction using cascaded learning was selected by the subcommittee as a Top-Scored Paper. Zehao was also selected as a finalist for the Corning Outstanding Student Paper Competition.
Feb 23, 2024 Our paper on optimized analog multi-user beamforming in mmWave networks was accepted to ACM MobiCom’24.
Feb 03, 2024 Our paper on RF signal mapping using public geographic databases (OpenStreetMap), open-source ray tracing tools (Sionna RT), and ML was accepted to IEEE DySPAN’24. [code and dataset]
Jan 29, 2024 Our paper on real-time generation of high-fidelity point clouds using low-cost mmWave radars was accepted to IEEE ICRA’24.
Dec 18, 2023 Three papers were accepted to OFC’24: (i) Multi-span optical power spectrum prediction using cascaded learning, (ii) Transceiver BER-OSNR modeling for QoT estimation, and (iii) Fiber type identification using in-service Brillouin optical time domain analysis.
Nov 27, 2023 Zeyu (Michael) Li was selected as a Pratt Research Fellow (Class of 2025).
Oct 11, 2023 Our paper on a blackbox Physical layer attack framework on mmWave automotive FMCW radars was accepted to ISOC NDSS’24. [arXiv]