Recent News

[11/2024]: 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]

[11/2024]: 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.

[09/2024]: Our paper on real-time, efficient baseband processing for mmWave networks was accepted to ACM MobiCom’24. [code]

[08/2024]: 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.

[08/2024]: Gave an invited talk at the OPTICA webinar about our work on optical network performance modeling and optimization. [link to talk video]

[06/2024]: 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). 

[04/2024]: Zeyu (Michael) Li received the 3rd Place Winner in the Spring 2024 ECE Independent Study Poster Session.

[03/2024]: 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.

[03/2024]: 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.

[02/2024]: Our paper on optimized analog multi-user beamforming in mmWave networks was accepted to ACM MobiCom’24. [code]

[02/2024]: Our paper on RF signal mapping using public geographic databases (OpenStreetMap), open-source ray tracing tools (Sionna), and ML was accepted to IEEE DySPAN’24. [code and dataset]

[01/2024]: Our paper on real-time generation of high-fidelity point clouds using low-cost mmWave radars was accepted to IEEE ICRA’24.

[12/2023]: 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.

[11/2023]: Zeyu (Michael) Li was selected as a Pratt Research Fellow (Class of 2025).

[10/2023]: Our paper on a blackbox Physical layer attack framework on mmWave automotive FMCW radars was accepted to ISOC NDSS’24. [arXiv]

[10/2023]: Our paper on automated and on-demand optical wavelength path provisioning for data center exchange services was selected as a Highest Scoring and Best Paper at ECOC’23. The results were also presented by NTT at the Telecom Infra Project’s (TIP) Fyuz event in Spain. [NTT press release]

[09/2023]: Our paper on the field-trial of coexistence of real-time fiber sensing and coherent 400 GbE signals was accepted to IEEE/Optica Journal of Lightwave Technology, Special Issue on Top-Scored Papers from IEEE/Optica OFC’23.

[07/2023]: Received an award from the NSF EAGER program to work with Duke Office of Information Technology (OIT) on building an integrated fiber sensing and communication testbed leveraging Duke-Durham field fiber. [NSF award information]

[07/2023]: Received an NSF supplement to conduct experimental millimeter-wave research on the NSF-funded PAWR COSMOS testbed.

[07/2023]: Two papers were accepted to ACM MobiHoc’23: (i) Wi-Fi monitoring using low sampling rate radios, (ii) Optimization of sectorized wireless networks.

[07/2023]: Received an award from the Thomas Lord Educational Innovation Grant Program that will support the development of an undergraduate course on full-stack IoT systems.

[07/2023]: Our paper on an open EDFA gain spectrum dataset collected using the PAWR COSMOS testbed and its applications in data-driven EDFA gain modeling was accepted to IEEE/Optica Journal of Optical Communications and Networking. [Dataset]

[07/2023]: Our paper on the design and deployment of programmable millimeter-wave radios in the COSMOS testbed was accepted to Computer Networks.

[07/2023]: Three papers were accepted to ECOC’23: (i) Field trial of automatic WDM optical path provisioning, (ii) One-shot transfer learning for EDFA gain spectrum prediction, (iii) ML-based Raman tilt prediction in ROADM transmission systems.

[03/2023]: Received a research grant from NTT to work on autonomous WDM optical link control frameworks.

[02/2023]: Our OFC’23 paper on the field-trial of coexistence of real-time fiber sensing and coherent 400GbE signals was selected by the subcommittee as a Top-Scored Paper.

[01/2023]: Excited to be part of a $35M SRC JUMP 2.0 Center for Ubiquitous Connectivity (CUbiC) with the goal of enabling seamless, robust, and scalable edge-to-cloud connectivity by developing and integrating advanced photonic, wired, and wireless connectivity solutions. CUbiC consists of a team of world-class researchers from Columbia (lead institution, director: Keren Bergman), UC Berkeley (assistant director: Ali Niknejad), UCSB, UIUC, MIT,  UMich, Cornell, Duke, Princeton, Stanford, Oregon State University, UCSD, and USC. [SRC JUMP 2.0 program] [DARPA news] [Columbia Engineering news] [Duke ECE news]

[12/2022]: Received an award from the NSF SII-NRDZ program to work on spectrum sharing field trials in an urban FCC innovation zone. This is a collaborative project between Columbia (lead institute), Syracuse, Princeton, Duke, Rutgers, and CCNY. [NSF award information]

[12/2022]: Two papers were accepted to OFC’23: (i) Field-trial of coexistence and simultaneous switching of real-time fiber sensing and coherent 400GbE, (ii) EDFA wavelength-dependent gain prediction using transfer learning.

[08/2022]: Received an award from the NSF CISE Core Medium program to work on the softwarization of millimeter-wave RANs. This is a collaborative project between Duke (lead institute) and Yale (PI: Lin Zhong). [NSF award information]

[06/2022]: Our paper on ML-based optical power spectrum prediction in multi-span ROADM systems was accepted to ECOC’22 (oral presentation).

[04/2022]: Received a research gift from NEC Labs America.