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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 200+ publications including 3 book chapters, 80+ journal publications, 5 editorials, and 90+ 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, 2018 IEEE TCGCC Best Conference Paper Award, and 2020 Charles K. Kao Best 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 $62 M in research funding, with Lingjia Liu serving as the principal investigator (PI) on over $6.8 M federal research grants (personal share $4.8+ 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).

[EdgeComm] June 21, 2020: Dr. Lingjia Liu will be serving as the Workshop co-Chair of the 1st International Workshop on Edge Computing and Communications (EdgeComm), in conjunction with the 5th ACM/IEEE Symposium on Edge Computing (SEC 2020). The webpage of the workshop can be found here. Please consider submitting your contributions!

[Visitor Return] June 4, 2020: Nan Qu finished her visit in our group and returned back to China. All the best to Nan!

[Grant] May 26, 2020: “Collaborative Research: MLWiNS: Deep Neural Networks Meet Physical Layer Communications – Learning with Knowledge of Structure” has been awarded by the National Science Foundation (NSF) and Intel under grant NSF/CNS-2003059. This is a medium collaborative project with a total budget of $810K. Dr. Lingjia Liu is serving as the PI from the leading institution of this project. Dr. Lizhong Zheng from EECS@MIT is serving as the PI from the collaborative institution.

[Paper Acceptance] May 19, 2020: Our paper, MIMO Spectrum Sensing for Cognitive Radio-Based Internet of Things, has been accepted to IEEE Internet Things J. (IOTJ) Congratulations Mingqian!

[Summer Intern] May 18, 2020: Our group members, Lianjun Li, Hao (Antonio) Song, and Zhou Zhou will start their research intern positions in Samsung Research America and Mitsubishi Electric Research Lab. Wish them a nice and productive summer of 2020.

[Grant] May 15, 2020: “Preliminary Research and Multi-University Proposal Development for Efficient Measurement of Spectrum Sharing and Cognitive Radio Network Intelligence and Performance” has been awarded by Commonwealth Cyber Initiative (CCI) under Southwest Virginia Collaboration Grant. Dr. Lingjia Liu is serving as the Co-PI of this project and Dr. Carl Dietrich is serving as the PI of the project.

[Paper Acceptance] May 14, 2020: Our paper, 3D Spectrum Sharing for Hybrid D2D and UAV Networks, has been accepted to IEEE Trans. Commun. (TCOM) Congratulations Bodong!

[Ph.D. Defense] May 12, 2020: Our group member, Kian Hamedani, successfully defended his Ph.D. dissertation and become Dr. Hamedani. Congratulations Dr. Hamedani! The title of Kian's dissertation is “Energy Efficient Deep Spiking Recurrent Neural Networks: A Reservoir Computing-Based Approach”. He is the 8th Ph.D. graduated from our group.

[Best Paper Award] May 2, 2020: Our paper, Reservoir Computing Meets Wi-Fi in Software Radios: Neural Network-based Symbol Detection using Training Sequences and Pilots, received Charles K. Kao Best Paper Award at The 29th Wireless and Optical Communications Conference (WOCC 2020). This is a joint collaboration among our group, Samsung Research America, and Air Force Research Laboratory. Congratulations Lianjun!

[Grant] May 1, 2020: Our group received $80K support to work on AI-Enabled Wireless: From Receive Processing to Multi-user Scheduling from Samsung Research America (SRA)! Dr. Lingjia Liu is serving as the sole PI of this project.

[Paper Acceptance] April 20, 2020: Our paper, Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network, has been accepted to IEEE Trans. Emerg. Sel. Topics Circuits Syst (ETCAS) Congratulations Kangjun, Zhou, and Shashank!

[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!

More news can be found HERE.

Best Results:

Ethan Yichen Liu

Elvin Enwen Liu

start.txt · Last modified: 2020/06/21 14:37 by lingjialiu