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Lingjia Liu, Ph.D.


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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.

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).

December 12, 2018: Our paper, QoS-Aware D2D Cellular Networks with Spatial Spectrum Sensing: A Stochastic Geometry View, has been accepted to IEEE Trans. Commun. Congratulations to Hao!

November 30, 2018: Dr. Lingjia Liu hosted the visit of Dr. Nikos Sidiropoulos, Louis T. Rader Professor and Chair of ECE@UVa, to our group and ECE@VT.

November 6, 2018: Mr. Xiaoxuan Wang finished his one-year visit in our group and returned back to China. All the best Xiaoxuan!

November 4, 2018: Dr. Mingqian (Kevin) Liu joined our group as a visiting scholar. Kevin came to Virginia Tech from Xidian University. Welcome on board!

November 1, 2018: Dr. Lingjia Liu has been invited to serve on the Editorial Board of IEEE Trans. on Neural Networks and Learning Systems.

November 1, 2018: Our paper, Multi-Cell Multi-User Massive FD-MIMO: Downlink Precoding and Throughput Analysis, has been accepted to IEEE Trans. on Wireless Commun. Congratulations Rubayet!

November 1, 2018: Our paper, Realizing Green Symbol Detection Via Reservoir Computing: An Energy-Efficiency Perspective, received the IEEE Technical Committee on Green Communications & Computing (TCGCC)'s Best Conference Paper Award. This paper also received the IEEE TAOS Best Paper Award in IEEE ICC 2018!

October 30, 2018: Virginia Tech Daily News features our research on applying reservoir computing on wireless communications!

October 26, 2018: “Big Data Meet Cyber-Physical Systems: A Panoramic Survey” has been accepted to IEEE Access. Congratulations Rachad!

October 18, 2018: “Digital Beam-forming and Interference Mitigation for MIMO Systems” has been awarded by National Spectrum Consortium as a part of the “Robust and Reprogrammable Payload for Utilization of Contested Spectrum (RRPUCS)” Program. The total budget of this project is $1,575,397. Dr. Lingjia Liu is serving as the PI and Dr. Mike Buehrer is serving as the co-PI of this project.

October 1, 2018: “Cooperative Routing Meets Swarm UAVs” has been awarded by the Air Force Research Lab (AFRL) under grant FA8750-18-1-0175. The total budget of this project is $333K. Dr. Lingjia Liu is serving as the sole PI of this project.

September 14, 2018: Our paper, Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach, has been accepted to the Special Issue on AI-Enabled Cognitive Communication of IEEE Internet of Things Journal. Congratulations Hao-Hsuan and Antonio!

August 20, 2018: Dr. Lingjia Liu is teaching ECE 6604 MIMO Communications for Fall 2018.

August 10, 2018: Mr. Lianjun Li joined our group as a Ph.D. student. Welcome on board Lianjun!

August 9, 2018: Mr. Don-Roberts Ugochukwu Emenonye joined our group as a M.S. student. Welcome on board Don!

August 8, 2018: Dr. Lingjia Liu hosted visitors from Air Force Research Laboratory to the ECE@Virginia Tech.

More news can be found HERE.

Best Result:

Ethan Yichen Liu


start.txt · Last modified: 2018/12/12 13:05 by lingjialiu