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| - | {{:lingjia_liu.jpg?180 |Profile}} | + | {{:lingjia-liu2022.jpg?240 |Profile}} |
| - | \\ | + | |
| Lingjia Liu, Ph.D.\\ | Lingjia Liu, Ph.D.\\ | ||
| - | Associate Director, [[https://wireless.vt.edu/|Wireless@Virginia Tech]]\\ | + | Professor & [[https://ece.vt.edu/people/faculty/fellows.html|Bradley Senior Faculty Fellow]]\\ |
| - | Associate Professor, [[https://ece.vt.edu/|Bradley Department of Electrical and Computer Engineering]]\\ | + | [[https://ece.vt.edu/|Bradley Department of Electrical and Computer Engineering]]\\ |
| - | [[https://eng.vt.edu/|College of Engineering]]\\ | + | Director, [[https://wireless.vt.edu/|Wireless@Virginia Tech]]\\ |
| [[https://vt.edu/|Virginia Tech]], Blacksburg, VA, USA\\ | [[https://vt.edu/|Virginia Tech]], Blacksburg, VA, USA\\ | ||
| - | \\ | + | Elected Member, [[https://www.nationalspectrumconsortium.org/about-us-2/leadership/|Executive Committee]]\\ |
| + | [[https://www.nationalspectrumconsortium.org/|National Spectrum Consortium]]\\ | ||
| \\ | \\ | ||
| 439 Durham Hall\\ | 439 Durham Hall\\ | ||
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| ===== Research Interests: ===== | ===== Research Interests: ===== | ||
| - | * Enabling technologies for 5G networks | + | * Machine learning for Engineering |
| - | * 3D massive/FD-MIMO systems | + | * Real-time & online machine learning with limited training |
| - | * Cooperative routing and multi-user scheduling | + | * Energy-efficient spiking neural network for Internet of Things (IoTs) |
| - | * Cloud-RAN (CRAN) and interference alignment | + | * Incorporating domain knowledge in learning strategy design |
| - | * Ultra-low latency communications | + | * Generative AI for accelerating deep reinforcement learning |
| + | * Signal Process., Commun. & Netw. for FutureG | ||
| + | * 3D massive FD-MIMO user scheduling and resource allocation | ||
| + | * Waveform design for 6G (e.g., MIMO-OTFS) | ||
| + | * Computing and communication co-design for non-terrestrial networks (NTN) | ||
| + | * Open radio access network (ORAN) prototyping and optimization | ||
| + | * Security and Privacy | ||
| + | * Radio frequency (RF) anomaly detection | ||
| + | * Adversarial learning for spectrum sharing | ||
| + | * Differential privacy and federated learning for massive IoT networks | ||
| + | * Anomaly and jamming detection for 5G/6G networks | ||
| - | * Deep learning and its application to communication networks | + | ===== Biography: ===== |
| - | * 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 [[http://www.sjtu.edu.cn|Shanghai Jiao Tong University]], Shanghai, China, and completed his Doctor of Philosophy (Ph.D.) degree at [[http://www.tamu.edu|Texas A&M University]] in Electrical and Computer Engineering. He spent the summer of 2007 and spring of 2008 in the [[http://www.merl.com|Mitsubishi Electric Research Laboratory]]. Prior to joining the [[https://ece.vt.edu/|ECE Department]] at Virginia Tech (VT), he was an Associate Professor in the [[http://www.eecs.ku.edu/|EECS Department]] at the University of Kansas (KU). He spent 3+ years working in the [[http://www.sra.samsung.com/research/standards-and-5g-mobility|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 ([[http://www.dallasnews.com/news/local-news/20110223-asian-culture-and-community-event-to-mark-uprising-in-taiwan.ece?ssimg=130712#ssStory130713|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 received the Bachelor of Science (B.S.) degree with the highest honor in Electronic Engineering Department from [[http://www.sjtu.edu.cn|Shanghai Jiao Tong University]], Shanghai, China, and completed his Doctor of Philosophy (Ph.D.) degree at [[http://www.tamu.edu|Texas A&M University]] in Electrical and Computer Engineering. He spent the summer of 2007 and spring of 2008 in the [[http://www.merl.com|Mitsubishi Electric Research Laboratory]]. Prior to joining the [[https://ece.vt.edu/|ECE Department]] at Virginia Tech (VT), he was an Associate Professor in the [[http://www.eecs.ku.edu/|EECS Department]] at the University of Kansas (KU). He spent 3+ years working in the [[http://www.sra.samsung.com/research/standards-and-5g-mobility|Standards & Mobility Innovation Lab]] of Samsung Research America (SRA) where he received **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 [[http://www.dallasnews.com/news/local-news/20110223-asian-culture-and-community-event-to-mark-uprising-in-taiwan.ece?ssimg=130712#ssStory130713|New Faces of Engineering 2011]] by the Diversity Council of the National Engineers Week Foundation for his contributions to the 3GPP LTE-Advanced standard. From 2013 to 2017, he has been selected as U.S. Air Force Research Laboratory (AFRL)/Air Force Office of Scientific Research (AFOSR) summer faculty fellow. In 2015, he received the Miller Professional Development Award for Distinguished Research at KU. In 2021, he received College of Engineering Dean’s Award for Excellence in Research at VT.\\ |
| \\ | \\ | ||
| - | 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 was an Editor of //IEEE Trans. Wireless Commun.// (TWireless) from 2012 to 2017, an Editor of the //IEEE Trans. Commun.// (TCom) from 2015 to 2017, and an Associate Editor of the //IEEE Trans. Neural Netw. and Learning Syst.// (TNNLS) from 2017 to 2022. 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 and was an Elected Member of the //IEEE// Signal Processing Society SPCOM Technical Committee. He is currently serving as an Elected Member of the [[https://www.nationalspectrumconsortium.org/about-us-2/leadership/|Executive Committee]] of [[https://www.nationalspectrumconsortium.org/|National Spectrum Consortium]].\\ |
| \\ | \\ | ||
| - | 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 [[http://www.wpafb.af.mil/afrl/afosr/|Air Force Office of Scientific Research]], [[http://www.wpafb.af.mil/afrl/ri/|Air Force Research Laboratory]], [[http://nsf.gov|National Science Foundation]], [[https://www.nationalspectrumconsortium.org/|National Spectrum Consortium]], [[http://www.interdigital.com/|InterDigital]], and [[http://www.sra.samsung.com/research/standards-and-5g-mobility|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**). | + | Lingjia Liu has 200+ publications including 3 book chapters, 100+ journal publications, 6 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**. Currently, his research is sponsored by various agencies AFRL/AFOSR, AFRL/RI, DARPA, IARPA, NSF, OUSD(R&E), and the industry. His research efforts have been supported in part by **$132+ Million** in **non-equipment/non-infrastructure** research funding, with Lingjia Liu serving as the **principal investigator (PI)** on **$27+ Million** non-equipment/infrastructure research projects (personal share **$13+ Million**). |
| \\ | \\ | ||
| ### | ### | ||
| ===== What's New: ===== | ===== What's New: ===== | ||
| - | <WRAP Justify> | + | ### |
| - | <wrap em hi>**Available positions**</wrap>: 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 (**[[Openings|click for details]]**).\\ | + | **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 **<fc #ff0000>Spring/Fall 2024</fc>** (**[[Openings|click for details]]**).\\ |
| \\ | \\ | ||
| - | **<fc #6495ed>[Visitor Return]</fc>** __June 4, 2020__: Nan Qu finished her visit in our group and returned back to China. All the best to Nan!\\ | + | **<fc #6495ed>[News Release]</fc>** __March 25, 2024__: Virginia Tech Daily News features our research on [[https://news.vt.edu/articles/2024/03/eng-ece-lingjia-liu-nishith-tripathi-ORAN-Innovation-Fund.html|O-RAN]] as the <fc #ff0000>TOP Story</fc>!\\ |
| \\ | \\ | ||
| - | **<fc #ff0000>[Grant]</fc>** __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. [[https://lizhongzheng.mit.edu/|Dr. Lizhong Zheng]] from [[https://www.eecs.mit.edu/|EECS@MIT]] is serving as the PI from the collaborative institution.\\ | + | **<fc #6495ed>[Invited Talk]</fc>** __March 7, 2024__: Dr. Lingjia Liu is invited to give a talk on "Enhancing Future-G Connectivity & Resiliency Through Mobile Distributed MIMO (dMIMO)" to the [[https://futureg.dsigroup.org/|FutureG for Defense Summit]] organized by Defense Strategies Institute.\\ |
| \\ | \\ | ||
| - | **<fc #6495ed>[Paper Acceptance]</fc>** __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!\\ | + | **<fc #ff0000>[Conference]</fc>** __March 1, 2024__: Dr. Lingjia Liu will serving as the General Chair of **100th** //IEEE Vehicular Technology Conference// (VTC) together Dr. [[https://www.linkedin.com/in/john-smee-b9b1891/|John Smee]] from Qualcomm and Dr. [[https://www.defense.gov/About/Biographies/Biography/Article/3309927/principal-director-for-futureg/|Tom Rondeau]] from OUSD(R&E). The conference website can be found [[https://events.vtsociety.org/vtc2024-fall/|here]]. Please consider submitting your work to this special edition of the conference!\\ |
| \\ | \\ | ||
| - | **<fc #6495ed>[Summer Intern]</fc>** __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.\\ | + | **<fc #ff0000>[Grant]</fc>** __February 13, 2024__: "Machine Learning Meets OFDM in Waveform Adaptation" has been awarded by the **Air Force Research Laboratory** (AFRL). The total budget of **$525,063.00**. Dr. Lingjia Liu is serving as the **PI** of the project.\\ |
| \\ | \\ | ||
| - | **<fc #ff0000>[Grant]</fc>** __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.\\ | + | **<fc #6495ed>[Paper Acceptance]</fc>** __December 13, 2023__: Our paper, //Revolutionizing Future Connectivity: A Contemporary Survey on AI-empowered Satellite-based Non-Terrestrial Networks in 6G//, has been accepted to //IEEE Commun. Surv. Tutor.// (**COMST**) Congratulations Shadab!\\ |
| \\ | \\ | ||
| - | **<fc #6495ed>[Paper Acceptance]</fc>** __May 14, 2020__: Our paper, //3D Spectrum Sharing for Hybrid D2D and UAV Networks//, has been accepted to //IEEE Trans. Commun.// (**TCOM**) Congratulations Bodong!\\ | + | **<fc #6495ed>[Paper Acceptance]</fc>** __November 25, 2023__: Our paper, //Bayesian Inference-assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR)//, has been accepted to //IEEE Trans. Wireless Commun.// (**TWireless**) Congratulations Shashank!\\ |
| \\ | \\ | ||
| - | **<fc #ff0000>[Ph.D. Defense]</fc>** __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 <fc #ff0000>**8th**</fc> Ph.D. graduated from our group.\\ | + | **<fc #ff0000>[Grant]</fc>** __November 23, 2023__: "Learning-Based ORAN Testing" has been awarded by the **National Telecommunications and Information Administration** (NTIA)'s Wireless Innovation Fund. The total budget of **$2,159,268.00**. Dr. Lingjia Liu is serving as the **Leading PI** of the project with collaborators from Wireless@VT and EECS@MIT. The official news release from NTIA can be found [[https://www.ntia.gov/press-release/2023/biden-harris-administration-awards-13m-wireless-innovation-fund|here]]. My quote as well as the quotes from members from the Congress can be found [[https://www.ntia.gov/page/what-they-re-saying-biden-harris-administration-awards-second-grants-wireless-innovation-fund|here]].\\ |
| \\ | \\ | ||
| - | **<fc #ff0000>[Best Paper Award]</fc>** __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!\\ | + | **<fc #6495ed>[Invited Talk]</fc>** __October 24, 2023__: Dr. Lingjia Liu is invited to give a talk on "Harnessing Echo State Networks in Deep Reinforcement Learning for Efficient Spectrum Sharing" to the 2023 //Mini-Symposium on Data Driven Optimization of Spectrum Sharing Networks// organized by Prof. [[https://people.duke.edu/~vt45/|Vahid Tarokh]] at Duke University.\\ |
| \\ | \\ | ||
| - | **<fc #ff0000>[Grant]</fc>** __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.\\ | + | **<fc #ff0000>[Award]</fc>** __October 16, 2023__: Dr. Lingjia Liu has been selected to receive the //[[https://news.vt.edu/articles/2023/10/research-researchexcellencecelebration.html|Research Excellence Award]]// from the Office of Research and Innovation at Virginia Tech.\\ |
| \\ | \\ | ||
| - | **<fc #6495ed>[Paper Acceptance]</fc>** __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!\\ | + | **<fc #6495ed>[Interview]</fc>** __October 3, 2023__: Dr. Lingjia Liu has been interviewed by **Scientific American** on 6G networks. See [[https://www.scientificamerican.com/article/new-6g-networks-are-in-the-works-can-they-destroy-dead-zones-for-good/| the article]] for more details.\\ |
| \\ | \\ | ||
| - | **<fc #6495ed>[Paper Acceptance]</fc>** __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!\\ | + | **<fc #ff0000>[Grant]</fc>** __September 19, 2023__: "Mobile Distributed MIMO: Learning Meets Spreading in Networking" has been awarded by the **Office of Under Secretary of Defense for Research and Engineering** (OUSD(R&E)). The total budget of **$9.2 Million**. Dr. Lingjia Liu is serving as the **Leading PI** of the project with collaborators from Wireless@VT, National Security Institute of Virginia Tech, and Lockheed Martin Advanced Technology Lab. Virginia Tech Daily News features [[https://news.vt.edu/articles/2023/10/eng-futuregaward.html|dMIMO Project]] as the <fc #ff0000>Top Story</fc>!\\ |
| \\ | \\ | ||
| - | **<fc #6495ed>[Qualcomm Innovation Fellowship]</fc>** __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 <fc #ff0000>**Finalist**</fc> for Qualcomm Innovation Fellowship (QIF). Congratulations Donald and Kangjun!\\ | + | **<fc #ff0000>[Endowment]</fc>** __June 7, 2023__: Dr. Lingjia Liu has been named the **Bradley Senior Faculty Fellow** by the Virginia Tech Board of Visitors. The endowed faculty fellowship is set up to recognize faculty research excellence. See [[https://news.vt.edu/articles/2023/06/eng-ece-Lingjia-Liu-named-Bradley-Senior-Faculty-Fellow.html|news on VTX]] for more details.\\ |
| - | \\ | + | |
| - | **<fc #6495ed>[Paper Acceptance]</fc>** __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!\\ | + | |
| - | \\ | + | |
| - | **<fc #6495ed>[Paper Acceptance]</fc>** __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!\\ | + | |
| - | \\ | + | |
| - | **<fc #6495ed>[Paper Acceptance]</fc>** __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 [[News|HERE]]. | More news can be found [[News|HERE]]. | ||
| - | ===== Best Results: ===== | + | ### |
| - | Ethan Yichen Liu | ||
| - | Elvin Enwen Liu | + | ===== Current Sponsors: ===== |
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| ---- | ---- | ||
| - | </WRAP> | + | |
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