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Tingjun Chen, Ph.D.

Assistant Professor
Department of Electrical and Computer Engineering
Duke University, Durham, NC

Email: tingjun.chen [at] duke [dot] edu
Phone: (919) 613-1581 (O)
Office: 411 Wilkinson | Lab: 028A Hudson Hall

Twitter: @TingjunChen
GitHub: tingjunchen

[CV] (v. Dec. 2021)
[Google Scholar]
[ResearchGate]
[LinkedIn]

I’m an assistant professor of Electrical and Computer Engineering at Duke University, where I work on next-generation wireless networks and systems. I am also the co-founder and Network Lead of WiLO Networks Inc., a start-up focusing on low-power sensor hardware and end-to-end systems. 

Before joining Duke, I was a postdoc in the Department of Electrical Engineering at Yale University in 2020-2021, working with Professor Leandros Tassiulas and Professor Lin Zhong. Before that, I received my Ph.D. degree in Electrical Engineering from Columbia University in 2020 (advisor: Professor Gil Zussman) and my B.Eng. degree in Electronic Engineering from Tsinghua University in 2014 (advisors: Professor Zhisheng Niu and Professor Sheng Zhou).

Interests: I am interested in the broad areas of future wireless networks and IoT systems. My recent research focuses on both theoretical and experimental aspects of massive antenna systems and millimeter-wave networks, edge cloud and computing, and optical-wireless networks. I also enjoy building efficient hardware/software systems and experimental testbeds at scale.

Impacts: My research has been recognized by an IBM Academic Award, a Google Research Scholar Award, the Columbia Engineering Morton B. Friedman Memorial Prize for Excellence, the Columbia University Eli Jury Award, a Facebook Fellowship, and a Wei Family Private Foundation (WFPF) Fellowship. My Ph.D. thesis received the ACM SIGMOBILE Dissertation Award Runner-up. I also received the ACM CoNEXT 2016 Best Paper Award and the ACM MobiHoc 2019 Best Paper Award finalist. WiLO Networks Inc. is currently supported by an NSF SBIR Phased I award (IIP-2108012).

News: I am always looking for motivated and creative B.S., M.S., and Ph.D. students, as well as Postdocs to join my group in Duke ECE. If you are interested in topics related to next-generation wireless networks and systems, optical-wireless communications, AI/ML for networking, edge cloud, and IoT, please email me your CV, transcript, and a brief note about your research interests, and I would be happy to chat!

Research Projects

Current:
– [NSF CISE] CNS Core: Medium: Softwarizing Millimeter-wave Radio Access Networks at the Edge 
– [NSF SWIFT] SHIELD: A Software-Hardware Approach for Spectrum Coexistence with Rapid Interferer Learning, Detection, and Mitigation
– [NSF NAI] National AI Institute for Edge Computing Leveraging Next-generation Networks  (Athena website)
– [NSF PAWR] Cloud Enhanced Open Software-defined Mobile Wireless Testbed for City-scale Deployment (COSMOS website)

Past:
– [FlexICoN] Full-duplex Wireless: From Integrated Circuits to Networks (Columbia)
– [EnHANTs] Energy-Harvesting Active Networked Tags (Columbia)

I am very fortunate to work with a group of students:

Ph.D. students:
  – James Lu, Fall 2022-present (co-advised with Yiran Chen)
  – Jialin Liu, Fall 2022-present (co-advised with Yiran Chen), ECE Diversity Fellowship
  – Zhihui Gao, Spring 2022-present (co-advised with Yiran Chen)
  – Zhenzhou Qi, Fall 2021-present, ACM SIGMOBILE Student Community Grant Award
  – Zehao Wang, Fall 2021-present, ACM SIGMOBILE Student Community Grant Award

M.S. and B.S. students:
  – Achilles Dabrowski (ECE), Spring 2022-present
  – Xuliang Deng (CS), Spring 2022-present
  – Kaya Celebi (CS), Fall 2020-present

Recent News

[legend: A = award | G = grant | P = paper | U = update]

[08/2022]G: 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]P: Our paper on ML-based optical power spectrum prediction in multi-span ROADM systems was accepted to ECOC’22 (oral presentation).

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

[02/2022]P: Our paper on the design and architecture of COSMOS’ programmable optical x-haul network was accepted to IEEE Network Magazine, Special Issue on Next-Generation Optical Access Networks to Support Super-Broadband Services and 5G/6G Mobile Networks.

[08/2021]A/G: Zhenzhou (Tom) Qi received an ACM SIGMOBILE Student Community Grant award.

[08/2021]G: Received an award from the NSF SWIFT program to work on spectrum coexistence with rapid interferer detection and mitigation. This is a collaborative project between Duke (lead institute), Oregon State University (PI: Arun Natarajan), and Yale (PI: Leandros Tassiulas). [NSF award information]

[07/2021]G: Our National AI Institute for Edge Computing Leveraging Next-generation Networks (Athena) is officially announced. Athena is a multi-disciplinary team of scientists, engineers, statisticians, legal scholars, and psychologists from Duke (lead institution), MIT, NC A&T, Princeton, Wisconsin, UMich, and Yale. [NSF news] [Duke Today news] [Athena website]

[07/2021]P: Our paper, titled “Programmable and open-access millimeter-wave radios in the PAWR COSMOS testbed”, was accepted to ACM WiNTECH 2021. This paper describes the design and implementation of various 28/60 GHz software-defined radios deployed in the PAWR COSMOS testbed along with their measurements and supported experiments.

[06/2021]A: Our IMS’21 paper on the integration of the IBM 28 GHz phased array antenna modules in the PAWR COSMOS testbed was selected as a finalist for the Advanced Practical Paper Competition (APPC).

[06/2021]A/G: Received the IBM Academic Award.

[06/2021]A: My Ph.D. thesis received the ACM SIGMOBILE Dissertation Award Runner-up.

[05/2021]A: Received the Columbia Engineering Morton B. Friedman Memorial Prize for Excellence.

[05/2021]A: Received the Columbia University Eli Jury Award.

[03/2021]A/G: Received the Google Research Scholar Award.

Acknowledgments: We are grateful for the generous support from the National Science Foundation, Google, IBM, NEC Labs America, and ACM SIGMOBILE. The findings, positions, or opinions of our research projects do not necessarily represent the official policy of any of these organizations.