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| - | {{:lingjia_liu.jpg?180 |Profile}} | + | {{:lingjia-liu2022.jpg?240 |Profile}} |
| Lingjia Liu, Ph.D.\\ | Lingjia Liu, Ph.D.\\ | ||
| - | Professor, [[https://ece.vt.edu/|Bradley Department of Electrical and Computer Engineering]]\\ | + | Professor & [[https://ece.vt.edu/people/faculty/fellows.html|Bradley Senior Faculty Fellow]]\\ |
| - | Associate Director, [[https://wireless.vt.edu/|Wireless@Virginia Tech]]\\ | + | [[https://ece.vt.edu/|Bradley Department of Electrical and Computer 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]]\\ | Elected Member, [[https://www.nationalspectrumconsortium.org/about-us-2/leadership/|Executive Committee]]\\ | ||
| [[https://www.nationalspectrumconsortium.org/|National Spectrum Consortium]]\\ | [[https://www.nationalspectrumconsortium.org/|National Spectrum Consortium]]\\ | ||
| Line 24: | Line 24: | ||
| ===== Research Interests: ===== | ===== Research Interests: ===== | ||
| - | * Machine learning for Wireless | + | * Machine learning for Engineering |
| - | * Real-time online learning-based wireless system design and hardware prototyping | + | * Real-time & online machine learning with limited training |
| - | * Incorporating communication structure knowledge in learning strategy design | + | * Energy-efficient spiking neural network for Internet of Things (IoTs) |
| - | * Accelerating deep reinforcement learning for spectrum access and user/resource scheduling | + | * Incorporating domain knowledge in learning strategy design |
| - | * Signal Process., Commun. & Netw. for 5G & Beyond | + | * Generative AI for accelerating deep reinforcement learning |
| - | * 3D mmWave massive FD-MIMO | + | * Signal Process., Commun. & Netw. for FutureG |
| + | * 3D massive FD-MIMO user scheduling and resource allocation | ||
| * Waveform design for 6G (e.g., MIMO-OTFS) | * Waveform design for 6G (e.g., MIMO-OTFS) | ||
| * Computing and communication co-design for non-terrestrial networks (NTN) | * Computing and communication co-design for non-terrestrial networks (NTN) | ||
| - | * Network slicing using open radio access network (ORAN) platform for prototyping and system design | + | * Open radio access network (ORAN) prototyping and optimization |
| * Security and Privacy | * Security and Privacy | ||
| - | * Anomaly detection for smart grids | + | * Radio frequency (RF) anomaly detection |
| * Adversarial learning for spectrum sharing | * Adversarial learning for spectrum sharing | ||
| * Differential privacy and federated learning for massive IoT networks | * Differential privacy and federated learning for massive IoT networks | ||
| - | * Anomaly and jamming detection for 5G networks | + | * Anomaly and jamming detection for 5G/6G networks |
| - | ===== Bio: ===== | + | ===== Biography: ===== |
| ### | ### | ||
| - | 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. 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 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 senior member of //IEEE//. He is currently serving as an Associate Editor of the //IEEE Trans. Neural Netw. and Learning Syst.// (TNNLS). He 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. 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 [[https://www.nationalspectrumconsortium.org/about-us-2/leadership/|Executive Committee]] of [[https://www.nationalspectrumconsortium.org/|National Spectrum Consortium]] and an Elected Member of the //IEEE// Signal Processing Society SPCOM Technical Committee.\\ | + | 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, 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**. Currently, his research is sponsored by many programs from various agencies including NSF/DARPA Real-Time Machine Learning (RTML) Program, NSF/Intel Partnership on Machine Learning for Wireless Networking Systems (MLWiNS) Program, DARPA Open, Programmable, Secure 5G (OPS-5G) Program, AFRL/AFOSR University Center of Excellence (UCoE) on Machine Learning for Waveform Design, and IARPA Securing Compartmented Information with Smart Radio Systems (SCISRS) Program. 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**). | + | 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**). |
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| ===== What's New: ===== | ===== 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 signal processing, machine learning and networking for **<fc #ff0000>Fall 2022</fc>** (**[[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]]**).\\ |
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| - | **<fc #6495ed>[Paper Acceptance]</fc>** __April 20, 2022__: Our paper, //Aerial Reconfigurable Intelligent Surfaces Meet Mobile Edge Computing//, has been accepted to //IEEE Wireless Commun.// (**WCM**) Congratulations Bodong! This is a collaborative work with Prof. [[https://ece.princeton.edu/people/h-vincent-poor|Vincent Poor]] from ECE@Princeton.\\ | + | **<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>!\\ |
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| - | **<fc #6495ed>[Paper Acceptance]</fc>** __March 16, 2022__: Our paper, //Harnessing Tensor Structures – Multi-Mode Reservoir Computing and Its Application in Massive MIMO//, has been accepted to //IEEE Trans. Wireless Commun.// (**TWireless**) Congratulations Zhou and Jiarui! \\ | + | **<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.\\ |
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| - | **<fc #6495ed>[Paper Acceptance]</fc>** __March 16, 2022__: Our paper, //Angle-based Downlink Beam Selection and User Scheduling for Massive MIMO Systems//, has been accepted to //IEEE Trans. Wireless Commun.// (**TWireless**) Congratulations Nan and Rubayet! The majority of the work is done when Nan is working as a visiting PhD student in our group.\\ | + | **<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!\\ |
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| - | **<fc #ff0000>[Grant]</fc>** __March 3, 2022__: "Capturing Unknown Transmissions & Perceiving Anomalous Signal Transmissions and Emanations" has been awarded by the Intelligence Advanced Research Projects Activity (IARPA). This is a **$14 million** collaborative project led by BAE Systems. Dr. Lingjia Liu is serving as the **PI** of the sub-award for Virginia Tech and Virginia Tech's share is **$1,478,540**.\\ | + | **<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.\\ |
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| - | **<fc #6495ed>[Paper Acceptance]</fc>** __March 1, 2022__: Our paper, //Learning to Equalize OTFS//, has been accepted to //IEEE Trans. Wireless Commun.// (**TWireless**) Congratulations Zhou and Jiarui! This is a collaborative work with Prof. [[https://ece.duke.edu/faculty/robert-calderbank|Robert Calderbank]] from ECE/CS@Duke.\\ | + | **<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!\\ |
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| - | **<fc #6495ed>[Paper Acceptance]</fc>** __February 14, 2022__: Our paper, //RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection//, has been accepted to //IEEE Trans. Wireless Commun.// (**TWireless**) Congratulations Jiarui and Lianjun! This is a collaborative work with Prof. [[https://lizhongzheng.mit.edu/|Lizhong Zheng]] from EECS@MIT.\\ | + | **<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>[Paper Acceptance]</fc>** __January 20, 2022__: 3 of our papers have been accepted to //IEEE Intl Conf on Commun.// (**ICC**) 2022. The topics are ranging from //error bounds characterization for reservoir computing// to //policy-based spiking neural networks for multi-agent reinforcement learning//. Congratulations Shashank, Lianjun, and Nima!\\ | + | **<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]].\\ |
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| - | **<fc #6495ed>[Paper Acceptance]</fc>** __December 30, 2021__: Our paper, //Reservoir Computing Meets Extreme Learning Machine in Real-Time MIMO-OFDM Receive Processing//, has been accepted to //IEEE Trans. Commun.// (**TCOM**) Congratulations Lianjun and Zhou!\\ | + | **<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>[Ph.D. Defense]</fc>** __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 <fc #ff0000>**12th**</fc> Ph.D. graduated from our group. He will be working as a joint PostDoctoral Research Associate from Princeton Univresity and Virginia Tech.\\ | + | **<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.\\ |
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| - | **<fc #6495ed>[Paper Acceptance]</fc>** __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!\\ | + | **<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.\\ |
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| - | **<fc #6495ed>[Faculty Position]</fc>** __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 in Spring 2022. Congratulations Yanjun!\\ | + | **<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 #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]]. | ||
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