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-{{:lingjia_liu.jpg?180 |Profile}}
+{{:lingjia-liu2022.jpg?240 |Profile}}
-Lingjia Liu, Ph.D.\\
+Lingjia Liu, Ph.D., //IEEE// Fellow\\
-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]], [[https://ece.vt.edu/|Electrical and Computer Engineering Department]]\\
-Associate Director, [[https://wireless.vt.edu/|Wireless@Virginia Tech]]\\
+Dean's Fellow, [[https://eng.vt.edu|College of Engineering]]\\
-[[https://vt.edu/|Virginia Tech]], Blacksburg, VA, USA\\
+Co-Director, [[https://wireless.vt.edu/|Wireless@Virginia Tech]]\\
+[[https://www.vt.edu/innovationcampus/about/faculty/liu-lingjia.html|Founding Faculty]], [[https://www.vt.edu/innovationcampus/index.html|Innovation Campus]]\\
+[[https://vt.edu/|Virginia Tech]], USA\\
 \\
-Elected Member, [[https://www.nationalspectrumconsortium.org/about-us-2/leadership/|Executive Committee]]\\
-[[https://www.nationalspectrumconsortium.org/|National Spectrum Consortium]]\\
 \\
-Durham Hall\\
+Virginia Tech Innovation Campus\\
-Perry Street, Blacksburg, VA, USA\\
+Potomac Ave, Alexandria, VA 22305\\
 Phone: (540) 231-7243\\
 Email: ljliu AT vt dot edu\\
-\\
-===== Research Interests: =====
-  * Machine learning for Wireless
-    * Real-time online learning-based wireless system design and hardware prototyping
+===== Research Interests: =====
-    * Incorporating communication structure knowledge in learning strategy design
+  * Efficient Machine learning for Engineering
-    * Accelerating deep reinforcement learning for spectrum access and user/resource scheduling
+    * Explainability of deep neural networks
-  * Signal Process., Commun. & Netw. for 5G & Beyond
+    * Incorporating domain knowledge in learning strategy design
-    * 3D mmWave massive FD-MIMO
+    * Real-time & online machine learning with limited training
+    * Energy-efficient spiking neural network for Internet of Things (IoTs)
+  * 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)
-    * 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
-    * Anomaly detection for smart grids
+    * 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 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 is a Professor and Bradley Senior Faculty in the Bradley Department of Electrical and Computer Engineering at Virginia Tech and the Co-Director of Wireless@Virginia Tech. He works in the general area of wireless communication systems and networks, communication theory, signal processing and information theory with a focus on identifying efficient machine learning tools for future generation (FutureG) wireless networks.\\
-\\
-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 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 Program (RTML), NSF/Intel Partnership on Machine Learning for Wireless Networking Systems (MLWiNS) Program, DARPA OPS-5G Program, AFRL/AFOSR University Center of Excellence 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 received the B.S. degree with the highest honor in the Electronic Engineering Department at Shanghai Jiao Tong University and the PhD degree in the Electrical and Computer Engineering Department at Texas A&M University. Prior to joining the academia, he spent more than 3 years in Samsung Research America as a technical leader and a leading **3GPP RAN1** standard delegate on downlink MIMO, Coordinated Multipoint (CoMP) transmission/reception, device-to-device (D2D) communications, and Heterogeneous Networks (HetNets).\\
 \\
+Lingjia Liu is an //IEEE// Fellow for his work on multi-cell multi-user MIMO and intelligent spectrum access. He is also an Asia-Pacific Artificial Intelligence Association (AAIA) Fellow in recognition of his outstanding achievements in machine learning for wireless. He is an //IEEE// Distinguished Lecturer with 200+ publications including 3 book chapters, 100+ journal publications, 6 editorials, and 100+ conference papers. He has 20+ granted U.S. patents many of which are regarded as **essential intellectual property rights (IPRs)** in major 4G standards. His research received many recognitions including **8 Best Paper Awards**. Currently, he is an Elected Member (representing academia) on the Executive Committee of the National Spectrum Consortium.\\
 ###
 ===== 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>Spring/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 2025</fc>** (**[[Openings|click for details]]**).\\
 \\
-**<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 #ff0000>[Award]</fc>** __December 3, 2024__: Dr. Lingjia Liu has been elevated to //IEEE// Fellow with the following citation "**for contributions to multi-cell multi-user MIMO and intelligent spectrum access**".\\
 \\
-**<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>** __November 20, 2024__: Dr. Lingjia Liu has been selected to receive the //[[https://news.vt.edu/articles/2024/11/research-celebratingscholarlydistinction.html|Research Excellence Award]]// from the Office of Research and Innovation at Virginia Tech for leading one of the **Top 5** research programs received by Virginia Tech in FY24.\\
 \\
-**<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>[Activity]</fc>** __October 15, 2024__: Dr. Lingjia Liu has been invited as a guest of Dr. [[https://wireless.engineering.nyu.edu/tedrappaport/|Ted Rappaport]] to attend the Wireless Hall of Fame Awards Ceremony where Dr. [[https://ece.princeton.edu/people/andrea-goldsmith|Andrea Goldsmith]] was inducted.\\
 \\
-**<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>[Conference Chair]</fc>** __October 7, 2024__: Dr. Lingjia Liu serves as the General Chair of **100th** //IEEE Vehicular Technology Conference// (VTC) in Washington DC.\\
+\\
+**<fc #6495ed>[Paper Acceptance]</fc>** __September 23, 2024__: Our paper, //O-RAN-enabled Intelligent Network Slicing to Meet Service-Level Agreement (SLA)//, has been accepted to //IEEE Trans. Mobile Comput.// (**TMC**)  Congratulations Jiongyu, Lianjun, Ramin, and Shadab! This is an outcome of the collaboration between Wireless@VT and [[https://sra.samsung.com|Samsung Research America]]!\\
+\\
+**<fc #6495ed>[Interview]</fc>** __September 20, 2024__: Dr. Lingjia Liu has been featured by Virginia Tech's [[https://news.vt.edu/categories/impact/research-connects-a-wireless-world.html|Global Impact Profile]] as the center story of Virginia Tech's [[https://news.vt.edu/categories/impact/global-land-grant-impact.html|Global Impact Page]]. \\
+\\
+**<fc #6495ed>[Interview]</fc>** __September 16, 2024__: Dr. Lingjia Liu has been interviewed by Virginia Tech’s //Curious Conversations// on 6G networks. See [[https://news.vt.edu/articles/2024/09/research-curiousconversations-liu.html?utm_source=cmpgn_news&utm_medium=email&utm_campaign=vtUnirelNewsDailyCMP_sept1724-fs%20| the podcast]] for more details.\\
+\\
+**<fc #ff0000>[Grant]</fc>** __September 1, 2024__: "ZF: A novel framework to design trustworthy lossy compressors
+for scientific data approaching lossy compressibility limits" has been awarded by the Office of Science at **Department of Energy** (DOE) through the //Advanced Scientific Computing Research// (ASCR) Program. The total budget of **$3,000,000.00**. The leading institution is Argonne National Laboratory (ANL) with the collaboration from Virginia Tech and Ohio State University. Dr. Lingjia Liu is serving as the **Co-PI** of the overall project  and **PI** at Virginia Tech. Dr. Lingjia Liu's share of the project is **$450K**.\\
+\\
+**<fc #6495ed>[Retreat]</fc>** __August 19, 2024__: Dr. Lingjia Liu's group held a three-day retreat in Shenandoah and Luary Caverns with Dr. [[http://lizhongzheng.mit.edu|Lizhong Zheng]]'s group.\\
+\\
+**<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>[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 #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 #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>[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>** __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>[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>[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>[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>[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 #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>[Endowed Faculty Fellow]</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]].
 ###
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