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Lingjia Liu and several of his graduate students
Lingjia Liu, Ph.D.
Andrew J. Young Professor & Bradley Senior Faculty Fellow
Co-Director, Wireless@Virginia Tech
Bradley Department of Electrical and Computer Engineering
College of Engineering
Virginia Tech, Alexandria, VA, USA
ljliu@vt.edu
Enabling technologies for 6G networks
- Integrated sensing and communications using noval waveforms
- Distributed massive MIMO systems
- Non-terrestrial networks (NTN)
- AI/ML for 6G resource allocations, network slicing, and multi-user scheduling
- O-RAN systems
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)
- Internet of intelligent things
Domain Knowlege-Informed Efficient AI/ML
- Neural receiver that learns at the speed of wireless
- Spiking neural network (SNN) for wireless
- Efficient deep reinforcement learning (DRL) and multi-agent DRL for resource/user scheduling
- Anomaly detection
- Andrew J. Young Professor, Virginia Tech, 2025
- Asia-Pacific Artificial Intelligence Association (AAIA) Fellow, 2025
- IEEE Fellow, 2025
- IEEE Distinguished Lecturer, 2024
- Virginia Tech Research Excellence Award (for top 5 research projects in FY24), 2024
- IEEE Vehicular Technology Society Service Excellence Award (General Chair of 100th IEEE Vehicular Technology Conference), 2024
- Dean's Fellow, Virginia Tech College of Engineering, 2023
- Research Excellence Award, Virginia Tech, 2023
- Bradley Senior Faculty Fellow, Virginia Tech, 2023
- Best Paper Award Finalist, IEEE Military Communications Conference (MILCOM), 2022
- Dean's Award for Excellence in Research, Virginia Tech College of Engineering, 2021
- Charles K. Kao Best Paper Award, 29th WOCC, 2020
- Best Conference Paper Award, IEEE Green Communications and Computing Technical Committee (TCGCC), 2018
- Best Student Paper Award, IEEE Intl. Conf. on Intell. Rail Transp. (ICIRT), 2018
- Best Paper Award, IEEE Transmission, Access, and Optical Systems (TAOS) Technical Committee, 2018
- Best Paper Award, IEEE Intl. Sympo. On Quality Electronic Design (ISQED), 2018
- Air Force Summer Faculty Fellow, U.S. Air Force Office of Scientific Research (AFOSR), 2017
- Best Paper Award, IEEE Global Communications Conference (GLOBECOM), 2016
- Miller Professional Development Award for Distinguished Research, University of Kansas (KU), 2015
- Visiting Faculty Fellow, Air Force Research Laboratory (AFRL), 2015
- Best Paper Final Runner-up, IEEE Conference on Green Communications (online GreenCom), 2014
- Miller Scholar, School of Engineering, University of Kansas (KU), 2014
- Air Force Summer Faculty Fellow, Air Force Office of Scientific Research (AFOSR), 2014
- Air Force Summer Faculty Fellow, 2013 Air Force Office of Scientific Research (AFOSR)
- Best Paper Final Runner-up, IEEE International Conference on Commuincations (ICC), 2012
- SAMSUNG Award, SAMSUNG GROUP, 2011
- Individual Gold Medal, SAMSUNG Telecommunications America, 2011
- New Faces of Engineering, Diversity Council, National Engineers Week Foundation, 2011
- Global SAMSUNG Best Paper Award, Global SAMSUNG Technical Conference, 2010
- Global SAMSUNG Best Paper Award, Global SAMSUNG Technical Conference, 2008
- Graduation Day Talk, Information Theory and Applications (ITA) Workshop 2008
- Texas Telecommunication Consortium (TX TEC) Fellowship 2003 - 2004
- Exceptional Student of Shanghai Jiao Tong University 2003
- Exceptional Student of Shanghai Jiao Tong University 2001
Virginia Tech Courses
ECE 4634: Digital Communications
University of Kansas Courses
EECS 212: Circuit II
EECS 769: Information Theory
EECS 865: Wireless Communication Systems
EECS 965: Estimation and Detection Theory
Lingjia Liu is the Andrew J. Young Professor and Bradley Senior Faculty in the Bradley Department of Electrical and Computer Engineering at Virginia Tech and the Co-Director of Wireless@Virginia Tech.
Lingjia Liu received the B.S. degree with the highest honor in the Electronic Engineering Department at Shanghai Jiao Tong University and the PhD degree in the Electrical and Computer Engineering Department at Texas A&M University.
Prior to joining the academia, he spent more than 3 years in Samsung Research America as a technical leader and a leading 3GPP RAN1 standard delegate on downlink MIMO, Coordinated Multipoint (CoMP) transmission/reception, device-to-device (D2D) communications, and Heterogeneous Networks (HetNets).
In Fall 24, he was working as a Visiting Professor/scientist in Massachusetts Institute of Technology (MIT). He works in the general area of wireless communication systems and networks, communication theory, signal processing and information theory with a focus on identifying efficient machine learning tools for future generation (FutureG) wireless networks.
Lingjia Liu is an IEEE Fellow for his work on multi-cell multi-user MIMO and intelligent spectrum access. He is also an Asia-Pacific Artificial Intelligence Association (AAIA) Fellow in recognition of his outstanding achievements in machine learning for wireless. He is an IEEE Distinguished Lecturer with 200+ publications including 3 book chapters, 100+ journal publications, 6 editorials, and 100+ conference papers. He has 20+ granted U.S. patents many of which are regarded as essential intellectual property rights (IPRs) in major 4G standards. His research received many recognitions including 8 Best Paper Awards. Currently, he is an Elected Member (representing academia) on the Executive Committee of the National Spectrum Consortium.
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