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Lingjia Liu, Ph.D.
Professor, Bradley Department of Electrical and Computer Engineering
Associate Director, Wireless@Virginia Tech
Virginia Tech, Blacksburg, VA, USA
Elected Member, Executive Committee
National Spectrum Consortium
439 Durham Hall
1145 Perry Street, Blacksburg, VA, USA
Phone: (540) 231-7243
Email: ljliu AT vt dot edu
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.
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). He served as the Vice-Chair, Americas of the IEEE Technical Committee on Green Communications & Computing (TCGCC) from 2017 to 2019. Currently, he is an Elected Member of Executive Committee of National Spectrum Consortium and an Elected Member of the IEEE Signal Processing Society SPCOM Technical Committee.
Lingjia Liu has 200+ publications including 3 book chapters, 90+ journal publications, 5 editorials, and 100+ 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 including 8 Best Paper Awards (2020 Charles K. Kao Best Paper Award, 2018 IEEE TAOS Best Paper Award, 2016 IEEE GLOBECOM Best Paper Award, etc). Currently, his research is sponsored by Air Force Research Laboratory, Air Force Office of Scientific Research, Intel, National Science Foundation, National Spectrum Consortium, Qualcomm, and Samsung Research America. His research efforts have been supported in part by over $125 M in research funding, with Lingjia Liu serving as the principal investigator (PI) on more than $14 M federal research grants (personal share $8+ M).
Available positions: research assistant positions are available for self-motivated Ph.D. students who are interested in conducting research on the topic of signal processing, machine learning and networking for Spring/Fall 2022 (click for details).
[Ph.D. Defense] December 8, 2021: Our group member, Bodong Shang, successfully defended his Ph.D. dissertation and becomes Dr. Shang. Congratulations Dr. Shang! The title of Bodong's dissertation is “Unmanned Aerial Vehicles and Edge Computing in Wireless Networks”. He is the 12th Ph.D. graduated from our group. He will be working as a joint PostDoctoral Research Associate from Princeton Univresity and Virginia Tech.
[Paper Acceptance] December 3, 2021: Our paper, Real-time Machine Learning for Symbol Detection in MIMO-OFDM Systems, has been accepted to IEEE INFOCOM 2022. Congratulations Donald and Lianjun!
[Faculty Position] December 1, 2021: Our group member, Dr. Yanjun Pan, will be joining the Computer Science and Computer Engineering (CSCE) Dept. at the University of Arkansas as a tenure-track assistant professor. Congratulations Yanjun!
More news can be found HERE.