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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] March 30, 2020: Our paper, Accelerating Model Free Reinforcement Learning with Imperfect Model Knowledge in Dynamic Spectrum Access, has been accepted to IEEE Internet Things J. (IOTJ) Congratulations Lianjun, Jianan, and Hao-Hsuan!

[Qualcomm Innovation Fellowship] March 27, 2020: Donald and Kangjun's abstract on “A Low-Power Hybrid Neural Processing Architecture for Mobile Edge Itelligent Computing” has been selected as the Finalist for Qualcomm Innovation Fellowship (QIF). Congratulations Donald and Kangjun!

[Paper Acceptance] March 27, 2020: Our paper, Mobile Edge Computing in the Sky: A Hybrid Air and Ground Network, has been accepted to IEEE Internet Things J. (IOTJ) Congratulations Bodong!

[Paper Acceptance] March 4, 2020: Our paper, Scalable Video Transmission in Cache-aided Device-to-Device Networks, has been accepted to IEEE Trans. Wireless Commun. (TWireless) Congratulations Junchao, Antonio, Rubayet and Bodong!

[Paper Acceptance] March 3, 2020: Our paper, Spectrum Sharing for UAV Communications: Spatial Spectrum Sensing and Open Issues, has been accepted to IEEE Veh. Technol. Mag. (VTM) Congratulations Bodong!

[Paper Acceptance] February 20, 2020: Our paper, Self-Tuning Sectorization: Deep Reinforcement Learning Meets Broadcast Beam Optimization, has been accepted to IEEE Trans. Wireless Commun. (TWireless) Congratulations Rubayet!

[Paper Acceptance] February 09, 2020: Our paper, Learning for Detection: MIMO-OFDM Symbol Detection through Downlink Pilots, has been accepted to IEEE Trans. Wireless Commun. (TWireless) Congratulations Zhou and Hao-Hsuan!

[Paper Acceptance] February 05, 2020: Our paper, Superimposed Pilot for Multi-Cell Multi-User Massive FD-MIMO Systems, has been accepted to IEEE Trans. Wireless Commun. (TWireless) Congratulations Rubayet!

[Spring Intern] January 6, 2020: Our group member, Zhou Zhou, starts a research internship position in the Standards and Mobility Innovation Lab. of Samsung Research America. He will work with top-notched researchers for Spring 2020 on machine learning for cellular networks.

More news can be found HERE.

Best Results:

Ethan Yichen Liu

Elvin Enwen Liu

start.txt · Last modified: 2020/03/30 15:02 by lingjialiu