User Tools

Site Tools


This is an old revision of the document!


Lingjia Liu, Ph.D.

Lingjia Liu, Ph.D.
Associate Director, Wireless@Virginia Tech
Associate Professor, Bradley Department of Electrical and Computer Engineering
College of Engineering
Virginia Tech, Blacksburg, VA, USA

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

Research Interests:

  • Enabling technologies for 5G networks
    • 3D massive/FD-MIMO systems
    • Cooperative routing and multi-user scheduling
    • Cloud-RAN (CRAN) and interference alignment
    • Ultra-low latency communications
  • Deep learning and its application to communication networks
    • Big data driven communications and networking
    • Reservoir computing for communication systems
    • Demand and response for smart grid networks
    • Attack detection in smart grid networks
  • Network of everything
    • Device-to-device (D2D) & machine-type-communications (MTC)
    • Privacy/security protection for cyber-physical systems (CPS)
    • Spectrum sensing & dynamic spectrum access (DSA)
    • Energy-harvesting for internet of things (IoT)

Short Bio:

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 got 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 and was recognized during the 2011 National Asian American Engineers of the Year Awards Banquet in Seattle (News Release in Dallas Morning News). From 2013 to 2017, he has been continuously selected as U.S. Air Force Office of Scientific Research (AFOSR)/Air Force Research Laboratory (AFRL) summer faculty fellow. In May 2015, he received the Miller Professional Development Award for Distinguished Research at KU, the only winner selected across all tenure-track and tenured faculty across all engineering departments.

Lingjia Liu is a member of the Phi Kappa Phi honor society and a senior member of IEEE. He is currently serving as an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems as well as the EURASIP Journal on Wireless Communications and Networking. He was an Editor of IEEE Transactions on Wireless Communications (TWireless) from 2012 to 2017, an Editor of the IEEE Transactions on Communications (TCom) from 2015 to 2017. He has been serving as the Technical Program Committee Chair of 7 consecutive IEEE GLOBECOM Workshops on Emerging Technologies for 5G ('12-'18). Currently, he is serving as the Vice-Chair, Americas of the IEEE Technical Committee on Green Communications & Computing (TCGCC).

Lingjia Liu has 100+ papers including 2 book chapters, 50+ journal publications, 5 editorials, and 60+ 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 many awards including 2016 IEEE Globecom Best Paper Award, 2018 IEEE ISQED Best Paper Award, 2018 IEEE TAOS Best Paper Award, and 2018 IEEE TCGCC Best Conference Paper Award. Currently, his research is sponsored by Air Force Office of Scientific Research, Air Force Research Laboratory, National Science Foundation, National Spectrum Consortium, InterDigital, and Samsung Research America. His research efforts have been supported in part by over $50 M in research funding, with Lingjia Liu serving as the principal investigator (PI) on over $6 M federal research grants (personal share $4+ M).

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 machine learning and neural networks for wireless networks (click for details).

[Paper Acceptance] December 24, 2019: Our paper, Deep Residual Learning Meets OFDM Channel Estimation, has been accepted to IEEE Wireless Commun. Lett. Congratulations Lianjun and Hao-Hsuan!

[Abstract Acceptance] December 23, 2019: Donald and Kangjun's abstract on “A Low-Power Hybrid Neural Processing Architecture for Mobile Edge Itelligent Computing” has been selected for full proposal for Qualcomm Innovation Fellowship (QIF). Congratulations Donald!

[Rubayet] December 16, 2019: Rubayet Shafin received multiple offers from leading industrial research centers and decided to join the Standards and Mobility Innovation Lab of Samsung Research America as a Senior Researcher on Machine Learning for Wireless Networks. Congratulations Rubayet!

[Visitor from GMU] December 5, 2019: Dr. Lingjia Liu hosted the visit of Dr. Yue Wang from ECE@GMU to our group.

[Paper Acceptance] December 5, 2019: Our paper, Cost Minimization in Multi-Path Communication under Throughput and Maximum Delay Constraints, has been accepted to INFOCOM 2020 (acceptance rate: 19.8%).

[New Member] December 2, 2019: Dr. Qiang Fan joined our group as a PostDoctoral Research Associate. Welcome on board!

[Paper Acceptance] November 10, 2019: Two of our papers, Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection, and Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing, have been accepted to AAAI 2020 (acceptance rate: 20.6%). Congratulations Zhou and Kian!

[SPCOM TC] November 9, 2019: Dr. Lingjia Liu has been elected to the IEEE Signal Processing for Communications and Networking (SPS SPCOM) Technical Committee (TC) for a 3-year term, effective January 1, 2020.

[Presentation] November 9, 2019: Dr. Lingjia Liu attended the 2nd Workshop on Computing Architecture for Edge Computing in conjunction of ACM/IEEE Symposium on Edge Computing. He gave a presentation on “Machine Learning Enabled Distributed Mobile Edge Computing Network”.

[Visitor Return] November 8, 2019: Mingqian Liu and Junchao Ma finished their visits in our group and returned back to China. All the best to Mingqian and Junchao!

[Paper Acceptance] November 4, 2019: Our paper, Signal Estimation in Underlay Cognitive Networks for Industrial Internet of Things, has been accepted to IEEE Trans. Ind. Informat. Congratulations Mingqian!

More news can be found HERE.

Best Results:

Ethan Yichen Liu

Elvin Enwen Liu

start.1578066571.txt.gz · Last modified: 2020/01/03 10:49 by lingjialiu