Lingjia Liu's Webpage

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====== Lingjia Liu, Ph.D. ======

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{{:lingjia-liu2022.jpg?240 |Profile}}
Lingjia Liu, Ph.D.\\
Professor & [[https://ece.vt.edu/people/faculty/fellows.html|Bradley Senior Faculty Fellow]]\\ 
[[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\\
Elected Member, [[https://www.nationalspectrumconsortium.org/about-us-2/leadership/|Executive Committee]]\\
[[https://www.nationalspectrumconsortium.org/|National Spectrum Consortium]]\\
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439 Durham Hall\\
1145 Perry Street, Blacksburg, VA, USA\\
Phone: (540) 231-7243\\
Email: ljliu AT vt dot edu\\
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===== Research Interests: =====

  * Machine learning for Engineering 
    * Real-time & online machine learning with limited training
    * Energy-efficient spiking neural network for Internet of Things (IoTs)
    * Incorporating domain knowledge in learning strategy design
    * 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

===== Biography: =====
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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.\\ 
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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]].\\ 
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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 **$130+ Million** in **non-equipment/non-infrastructure** research funding, with Lingjia Liu serving as the **principal investigator (PI)** on **$25+ Million** non-equipment/infrastructure research projects (personal share **$12+ Million**).
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===== What's New: =====
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**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 #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 Million**. Dr. Lingjia Liu is serving as the **Leading PI** of the project with collaborators from Wireless@VT and EECS@MIT. \\
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**<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.\\
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**<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>[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 #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. See [[https://news.vt.edu/articles/2023/10/eng-futuregaward.html|news on VTX]] for more details.\\
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**<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.\\
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More news can be found [[News|HERE]].
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