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Lingjia Liu, Ph.D.

Profile Lingjia Liu, Ph.D.
Professor & Bradley Senior Faculty Fellow
Bradley Department of Electrical and Computer Engineering
Director, Wireless@Virginia Tech
Virginia Tech, Blacksburg, VA, USA
Elected Member, Executive Committee
National Spectrum Consortium

439 Durham Hall
1145 Perry Street, Blacksburg, VA, USA
Phone: (540) 231-7243
Email: ljliu AT vt dot edu

Research Interests:

  • Machine learning for Engineering
    • Real-time & online machine learning with limited training
    • Energy-efficient spiking neural network for Internet of Things (IoTs)
    • Incorporating domain knowledge in learning strategy design
    • Generative AI for accelerating deep reinforcement learning
  • Signal Process., Commun. & Netw. for FutureG
    • 3D massive FD-MIMO user scheduling and resource allocation
    • Waveform design for 6G (e.g., MIMO-OTFS)
    • Computing and communication co-design for non-terrestrial networks (NTN)
    • Open radio access network (ORAN) prototyping and optimization
  • Security and Privacy
    • Radio frequency (RF) anomaly detection
    • Adversarial learning for spectrum sharing
    • Differential privacy and federated learning for massive IoT networks
    • Anomaly and jamming detection for 5G/6G networks


Lingjia Liu received the Bachelor of Science (B.S.) degree with the highest honor in Electronic Engineering Department from Shanghai Jiao Tong University, Shanghai, China, and completed his Doctor of Philosophy (Ph.D.) degree at Texas A&M University in Electrical and Computer Engineering. He spent the summer of 2007 and spring of 2008 in the Mitsubishi Electric Research Laboratory. Prior to joining the ECE Department at Virginia Tech (VT), he was an Associate Professor in the EECS Department at the University of Kansas (KU). He spent 3+ years working in the Standards & Mobility Innovation Lab of Samsung Research America (SRA) where he received Global Samsung Best Paper Award twice (in 2008 and 2010 respectively). He was a technical leader and a leading 3GPP RAN1 standard delegate from Samsung on downlink MIMO, Coordinated Multipoint (CoMP) transmission/reception, device-to-device (D2D) communications, and Heterogeneous Networks (HetNets). He was elected as the New Faces of Engineering 2011 by the Diversity Council of the National Engineers Week Foundation for his contributions to the 3GPP LTE-Advanced standard. From 2013 to 2017, he has been selected as U.S. Air Force Research Laboratory (AFRL)/Air Force Office of Scientific Research (AFOSR) summer faculty fellow. In 2015, he received the Miller Professional Development Award for Distinguished Research at KU. In 2021, he received College of Engineering Dean’s Award for Excellence in Research at VT.

Lingjia Liu was an Editor of IEEE Trans. Wireless Commun. (TWireless) from 2012 to 2017, an Editor of the IEEE Trans. Commun. (TCom) from 2015 to 2017, and an Associate Editor of the IEEE Trans. Neural Netw. and Learning Syst. (TNNLS) from 2017 to 2022. He has been serving as the Technical Program Committee Chair of 7 consecutive IEEE GLOBECOM Workshops on Emerging Technologies for 5G ('12-'18). He served as the Vice-Chair, Americas of the IEEE Technical Committee on Green Communications & Computing (TCGCC) from 2017 to 2019 and was an Elected Member of the IEEE Signal Processing Society SPCOM Technical Committee. He is currently serving as an Elected Member of the Executive Committee of National Spectrum Consortium.

Lingjia Liu has 200+ publications including 3 book chapters, 100+ journal publications, 6 editorials, and 100+ conference papers. He has numerous technical contributions to major 4G standards including both 3GPP LTE/LTE-Advanced and IEEE 802.16m. He has 20+ granted U.S. patents with 20+ pending applications, and 10+ essential intellectual property rights (IPRs) in major 4G standards. His research receives including 8 Best Paper Awards. Currently, his research is sponsored by various agencies AFRL/AFOSR, AFRL/RI, DARPA, IARPA, NSF, OUSD(R&E), and the industry. His research efforts have been supported in part by $132+ Million in non-equipment/non-infrastructure research funding, with Lingjia Liu serving as the principal investigator (PI) on $27+ Million non-equipment/infrastructure research projects (personal share $13+ Million).

What's New:

Available positions: research assistant positions are available for self-motivated Ph.D. students who are interested in conducting research on the topic of signal processing, machine learning and networking for Spring/Fall 2024 (click for details).

[News Release] March 25, 2024: Virginia Tech Daily News features our research on O-RAN as the TOP Story!

[Invited Talk] March 7, 2024: Dr. Lingjia Liu is invited to give a talk on “Enhancing Future-G Connectivity & Resiliency Through Mobile Distributed MIMO (dMIMO)” to the FutureG for Defense Summit organized by Defense Strategies Institute.

[Conference] March 1, 2024: Dr. Lingjia Liu will serving as the General Chair of 100th IEEE Vehicular Technology Conference (VTC) together Dr. John Smee from Qualcomm and Dr. Tom Rondeau from OUSD(R&E). The conference website can be found here. Please consider submitting your work to this special edition of the conference!

[Grant] February 13, 2024: “Machine Learning Meets OFDM in Waveform Adaptation” has been awarded by the Air Force Research Laboratory (AFRL). The total budget of $525,063.00. Dr. Lingjia Liu is serving as the PI of the project.

[Paper Acceptance] December 13, 2023: Our paper, Revolutionizing Future Connectivity: A Contemporary Survey on AI-empowered Satellite-based Non-Terrestrial Networks in 6G, has been accepted to IEEE Commun. Surv. Tutor. (COMST) Congratulations Shadab!

[Paper Acceptance] November 25, 2023: Our paper, Bayesian Inference-assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR), has been accepted to IEEE Trans. Wireless Commun. (TWireless) Congratulations Shashank!

[Grant] November 23, 2023: “Learning-Based ORAN Testing” has been awarded by the National Telecommunications and Information Administration (NTIA)'s Wireless Innovation Fund. The total budget of $2,159,268.00. Dr. Lingjia Liu is serving as the Leading PI of the project with collaborators from Wireless@VT and EECS@MIT. The official news release from NTIA can be found here. My quote as well as the quotes from members from the Congress can be found here.

[Invited Talk] October 24, 2023: Dr. Lingjia Liu is invited to give a talk on “Harnessing Echo State Networks in Deep Reinforcement Learning for Efficient Spectrum Sharing” to the 2023 Mini-Symposium on Data Driven Optimization of Spectrum Sharing Networks organized by Prof. Vahid Tarokh at Duke University.

[Award] October 16, 2023: Dr. Lingjia Liu has been selected to receive the Research Excellence Award from the Office of Research and Innovation at Virginia Tech.

[Interview] October 3, 2023: Dr. Lingjia Liu has been interviewed by Scientific American on 6G networks. See the article for more details.

[Grant] September 19, 2023: “Mobile Distributed MIMO: Learning Meets Spreading in Networking” has been awarded by the Office of Under Secretary of Defense for Research and Engineering (OUSD(R&E)). The total budget of $9.2 Million. Dr. Lingjia Liu is serving as the Leading PI of the project with collaborators from Wireless@VT, National Security Institute of Virginia Tech, and Lockheed Martin Advanced Technology Lab. Virginia Tech Daily News features dMIMO Project as the Top Story!

[Endowment] June 7, 2023: Dr. Lingjia Liu has been named the Bradley Senior Faculty Fellow by the Virginia Tech Board of Visitors. The endowed faculty fellowship is set up to recognize faculty research excellence. See news on VTX for more details.

More news can be found HERE.

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start.txt · Last modified: 2024/03/26 11:51 by lingjialiu