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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\\ | ||
| Line 24: | Line 24: | ||
| ===== 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 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 [[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 **$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**). | + | 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>[Spring Intern]</fc>** __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 the topic of machine learning for cellular networks.\\ | + | **<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 #6495ed>[Paper Acceptance]</fc>** __December 24, 2019__: Our paper, //Deep Residual Learning Meets OFDM Channel Estimation//, has been accepted to //IEEE Wireless Commun. Lett.// Congratulations Lianjun and Hao-Hsuan!\\ | + | **<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>[Abstract Acceptance]</fc>** __December 23, 2019__: Donald and Kangjun's abstract on "A Low-Power Hybrid Neural Processing Architecture for Mobile Edge Itelligent Computing" has been selected for full proposal for Qualcomm Innovation Fellowship (QIF). Congratulations Donald!\\ | + | **<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>[Rubayet]</fc>** __December 16, 2019__: Rubayet Shafin received multiple offers from leading industrial research centers and decided to join the Standards and Mobility Innovation Lab of Samsung Research America as a Senior Researcher on Machine Learning for Wireless Networks. Congratulations Rubayet!\\ | + | **<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 #6495ed>[Visitor from GMU]</fc>** __December 5, 2019__: Dr. Lingjia Liu hosted the visit of Dr. Yue Wang from ECE@GMU to our group.\\ | + | **<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>** __December 5, 2019__: Our paper, //Cost Minimization in Multi-Path Communication under Throughput and Maximum Delay Constraints//, has been accepted to **INFOCOM 2020** (acceptance rate: 19.8%). \\ | + | **<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 #6495ed>[New Member]</fc>** __December 2, 2019__: Dr. Qiang Fan joined our group as a PostDoctoral Research Associate. Welcome on board!\\ | + | **<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 #6495ed>[Paper Acceptance]</fc>** __November 10, 2019__: Two of our papers, //Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection//, and //Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing//, have been accepted to **AAAI 2020** (acceptance rate: 20.6%). Congratulations Zhou and Kian!\\ | + | **<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 #6495ed>[SPCOM TC]</fc>** __November 9, 2019__: Dr. Lingjia Liu has been elected to the //IEEE// Signal Processing for Communications and Networking (SPS SPCOM) Technical Committee (TC) for a 3-year term, effective January 1, 2020.\\ | + | **<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>[Presentation]</fc>** __November 9, 2019__: Dr. Lingjia Liu attended the 2nd Workshop on Computing Architecture for Edge Computing in conjunction of ACM/IEEE Symposium on Edge Computing. He gave a presentation on "Machine Learning Enabled Distributed Mobile Edge Computing Network".\\ | + | **<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>[Visitor Return]</fc>** __November 8, 2019__: Mingqian Liu and Junchao Ma finished their visits in our group and returned back to China. All the best to Mingqian and Junchao!\\ | + | **<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>[Paper Acceptance]</fc>** __November 4, 2019__: Our paper, //Signal Estimation in Underlay Cognitive Networks for Industrial Internet of Things//, has been accepted to //IEEE Trans. Ind. Informat.// Congratulations Mingqian!\\ | + | **<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.\\ |
| \\ | \\ | ||
| 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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