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start [2024/03/26 11:51] (current)
lingjialiu
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-[[start|Home]] -- [[Research]] -- [[Members]] -- [[Publication]] -- [[Honor]] -- [[Courses]] -- [[Services]] -- [[News]] -- [[Openings]]+[[start|Home]] -- [[Research]] -- [[Members]] -- [[Publication]] -- [[Honor]] -- [[Courses]] -- [[Services]] -- [[News]] -- [[Openings]] -- [[Group]]
  
  
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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 ​(ORANprototyping ​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 2021he 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 100papers ​including ​book chapters, ​50+ journal publications, ​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 **$4M**).+Lingjia Liu has 200publications ​including ​book chapters, ​100+ journal publications, ​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/AFOSRAFRL/RIDARPAIARPANSF, 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 **$13Million**).
 \\ \\
  
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 ===== What's New: ===== ===== What's New: =====
 ### ###
-<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>​[Paper Acceptance]</​fc>​** ​__August 82019__Our paper, ​//Train-centric CBTC Meets Age of Information in Train-to-Train Communications//, has been accepted to //**IEEE TransIntell. Transp. Syst.**//. Congratulations Xiaoxuan!\\+**<fc #​6495ed>​[News Release]</​fc>​** ​__March 252024__: 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 Submission]</​fc>​** ​__July 182019__Check out our joint position paper submitted with Samsung Research America, //[[https://arxiv.org/abs/​1907.07862|Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G]]//. \\+**<fc #​6495ed>​[Invited Talk]</​fc>​** ​__March 72024__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>​** ​__July 182019__: **All of our three submissions** to //​IEEE ​Global Commun. Conf.// (GLOBECOM2019 are acceptedThe title of these papers are //Spatial Spectrum Sensing-Based D2D Communications ​in User-Centric Deployed HetNets////Random Network Coding Enabled Routing in Swarm Unmanned Aerial Vehicle Networks//, and //Maximizing System Throughput in D2D Networks using Alternative DC Programming//. Congratulations Bodong, Antonio, and Hao-Hsuan!\\+**<fc #ff0000>[Conference]</​fc>​** ​__March 12024__Dr. Lingjia Liu will serving as the General Chair of **100th** //​IEEE ​Vehicular Technology Conference// (VTCtogether 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>[Paper Acceptance]</​fc>​** ​__July 172019__Our paper, //​Cache-aided Cooperative Device-to-Device ​(D2DNetworks: A Stochastic Geometry View//has been accepted to //**IEEE TransCommun.**.// Congratulations Junchao and Bodong!\\+**<fc #ff0000>[Grant]</​fc>​** ​__February 132024__"​Machine Learning Meets OFDM in Waveform Adaptation"​ has been awarded by the **Air Force Research Laboratory** ​(AFRL). The total budget of **$525,063.00**. DrLingjia Liu is serving as the **PI** of the project.\\
 \\ \\
-**<fc #​6495ed>​[Paper Acceptance]</​fc>​** ​__July 122019__: Our paper, //Artificial Intelligence Enabled Internet of ThingsNetwork Architecture and Spectrum Access//, has been accepted to //**IEEE ComputIntellMag**.// Congratulations ​Antonio and Jianan!\\+**<fc #​6495ed>​[Paper Acceptance]</​fc>​** ​__December 132023__: Our paper, //Revolutionizing Future ConnectivityA Contemporary Survey on AI-empowered Satellite-based Non-Terrestrial Networks in 6G//, has been accepted to //​IEEE ​CommunSurvTutor.// (**COMST**)  ​Congratulations ​Shadab!\\
 \\ \\
-**<fc #​6495ed>​[Paper Acceptance]</​fc>​** ​__July 12019__: Our paper, //Joint Security ​and QoS Provisioning ​in Train-centric CBTC Systems Under Sybil Attacks//, has been accepted to //**IEEE Access**.// Congratulations ​Xiaoxuan!\\+**<fc #​6495ed>​[Paper Acceptance]</​fc>​** ​__November 252023__: 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 Submission]</​fc>​** ​__June 252019__Check out our submission//[[https://arxiv.org/abs/1907.01516|Learn to Demodulate: MIMO-OFDM Symbol Detection through Downlink Pilots]]//.\\+**<fc #ff0000>[Grant]</​fc>​** ​__November 232023__"​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 Submission]</​fc>​** ​__June 252019__Check out our submission, ​//​[[https://​arxiv.org/abs/1906.11318|Content-Based User Association and MIMO Operation over Cached Cloud-RAN Networks +**<fc #​6495ed>​[Invited Talk]</​fc>​** ​__October 242023__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>[Paper Acceptance]</​fc>​** ​__June 242019__Our paper, //Improved T2T based Communication-Based Train Control Systems Through Cooperated Security Check//, ​has been accepted ​to //IEEE IntellTranspSyst. Conf.// (ITSC) 2019Congratulations Xiaoxuan!\\+**<fc #ff0000>[Award]</​fc>​** ​__October 162023__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>​** ​__June 192019__Our paper, //Unmanned Aerial Vehicle (UAV) Meets Vehicle-to-Everything in Secure Communications//, ​has been accepted to //**IEEE Commun. Mag.**// Congratulations Bodong and Junchao!\\+**<fc #​6495ed>​[Interview]</​fc>​** ​__October 32023__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 Submission]</​fc>​** ​__June 142019__Check out our submission//[[https://arxiv.org/abs/1906.06021|Self-Tuning Sectorization:​ Deep Reinforcement Learning Meets Broadcast Beam Optimization]]//.\\+**<fc #ff0000>[Grant]</​fc>​** ​__September 192023__"​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@VTNational 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>​** ​__May 262019__Our paper, //​Energy-Efficient Wireless Communications:​ From Energy Modeling to Performance Evaluation//, ​has been accepted to //**IEEE Trans. Veh. Technol.**// Congratulations Farhad!\\ +**<fc #ff0000>[Endowment]</​fc>​** ​__June 72023__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 excellenceSee [[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>​[Summer Intern]</​fc>​** __May 20, 2019__: Our group members, Lianjun Li, Kian Hamedani, and Hao (Antonio) Song, will start their research intern positions in Samsung Research America, Adobe, and Nokia Bell Labs. Wish them a nice and productive summer ​of 2019.\\ +
-\\ +
-**<fc #​6495ed>​[Ph.D. Defense]</​fc>​** __May 13, 2019__: Our group member, Hayder Almosa, successfully defended his Ph.D. dissertation and become Dr. Almosa. Congratulations Dr. Almosa! ​The title of Hayder'​s dissertation ​is "​Downlink Achievable Rate Analysis for FDD Massive MIMO Systems"​He is the sixth Ph.D. graduated from our group.\\ +
-\\ +
-**<fc #6495ed>[Editorship]</​fc>​** __April 24, 2019__Dr. Lingjia Liu has been reappointed as an Editor of the //IEEE TransWireless Commun.//(TWireless) serving in the area of "​Machine Learning and Artificial Intelligence"​.\\ +
-\\ +
-**<fc #​6495ed>​[Ph.D. Defense]</​fc>​** __April 17, 2019__: Our group member, Farhad Mahmood, successfully defended his Ph.D. dissertation and become Dr. Mahmood. Congratulations Dr. Mahmood! The title of Farhad'​s dissertation is "​Modeling and Analysis of Energy Efficiency in Wireless Handset Transceiver Systems"​. He is the fifth Ph.D. graduated from our group.\\+
 \\ \\
 More news can be found [[News|HERE]]. More news can be found [[News|HERE]].
 ### ###
-===== Best Result: ===== 
  
-Ethan Yichen Liu 
  
-Elvin Enwen Liu+===== Current Sponsors: ===== 
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 [[http://​m.maploco.com/​details/​4b92e3e0|{{http://​www.maploco.com/​vmap/​s/​4016808.png?​170x95}}]] [[http://​m.maploco.com/​details/​4b92e3e0|{{http://​www.maploco.com/​vmap/​s/​4016808.png?​170x95}}]]
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