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start [2024/12/15 16:40] lingjialiu [What's New:] |
start [2025/02/07 10:52] (current) lingjialiu [Lingjia Liu, Ph.D.] |
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{{:lingjia-liu2022.jpg?240 |Profile}} | {{:lingjia-liu2022.jpg?240 |Profile}} | ||
- | Lingjia Liu, Ph.D.\\ | + | Lingjia Liu, Ph.D., //IEEE// Fellow\\ |
Professor & [[https://ece.vt.edu/people/faculty/fellows.html|Bradley Senior Faculty Fellow]], [[https://ece.vt.edu/|Electrical and Computer Engineering Department]]\\ | Professor & [[https://ece.vt.edu/people/faculty/fellows.html|Bradley Senior Faculty Fellow]], [[https://ece.vt.edu/|Electrical and Computer Engineering Department]]\\ | ||
Dean's Fellow, [[https://eng.vt.edu|College of Engineering]]\\ | Dean's Fellow, [[https://eng.vt.edu|College of Engineering]]\\ | ||
- | Director, [[https://wireless.vt.edu/|Wireless@Virginia Tech]]\\ | + | 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://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\\ | [[https://vt.edu/|Virginia Tech]], USA\\ | ||
\\ | \\ | ||
- | 3-185 Virginia Tech Arlington Research Center\\ | + | \\ |
- | 900 N Glebe Rd, Arlington, VA, USA\\ | + | 3418 Virginia Tech Innovation Campus\\ |
+ | 3625 Potomac Ave, Alexandria, VA 22305\\ | ||
Phone: (540) 231-7243\\ | Phone: (540) 231-7243\\ | ||
Email: ljliu AT vt dot edu\\ | Email: ljliu AT vt dot edu\\ | ||
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===== Research Interests: ===== | ===== Research Interests: ===== | ||
- | * Machine learning for Engineering | + | * Efficient Machine learning for Engineering |
+ | * Explainability of deep neural networks | ||
+ | * Incorporating domain knowledge in learning strategy design | ||
* Real-time & online machine learning with limited training | * Real-time & online machine learning with limited training | ||
* Energy-efficient spiking neural network for Internet of Things (IoTs) | * 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 | * Signal Process., Commun. & Netw. for FutureG | ||
* 3D massive FD-MIMO user scheduling and resource allocation | * 3D massive FD-MIMO user scheduling and resource allocation | ||
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===== Biography: ===== | ===== 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 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. In 2023 and 2024, he received Research Excellence Award from Virginia Tech's Office of Research and Innovation.\\ | + | 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 an //IEEE// Fellow (Class of 2025) for his work on multi-cell multi-user MIMO and intelligent spectrum access. 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, 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, 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 **$135+ Million** in **non-equipment/non-infrastructure** research funding, with Lingjia Liu serving as the **principal investigator (PI)** on **$28+ Million** non-equipment/infrastructure research projects (personal share around **$15 Million**). | + | 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 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.\\ | ||
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===== What's New: ===== | ===== What's New: ===== | ||
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More news can be found [[News|HERE]]. | More news can be found [[News|HERE]]. | ||
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