User Tools

Site Tools


start

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
start [2021/12/30 16:56]
lingjialiu [What's New:]
start [2022/05/03 18:00]
lingjialiu
Line 39: Line 39:
     * Anomaly and jamming detection for 5G networks     * Anomaly and jamming detection for 5G networks
  
-===== Short Bio: =====+===== 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.\\ ​+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 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). 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 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** ​(2020 Charles K. Kao Best Paper Award, 2018 //IEEE// TAOS Best Paper Award, 2016 //IEEE// GLOBECOM Best Paper Award, etc). Currently, his research is sponsored by [[http://​www.wpafb.af.mil/​afrl/​ri/​|Air Force Research Laboratory]][[http://​www.wpafb.af.mil/​afrl/​afosr/​|Air Force Office of Scientific Research]], [[https://​www.intel.com/​content/​www/​us/​en/​research/​overview.html|Intel]][[http://​nsf.gov|National Science Foundation]][[https://​www.nationalspectrumconsortium.org/​|National Spectrum Consortium]][[https://​www.qualcomm.com/​|Qualcomm]], and [[http://​www.sra.samsung.com/​research/​standards-and-5g-mobility|Samsung Research America]]. 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, 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) ProgramNSF/​Intel ​Partnership on Machine Learning for Wireless Networking Systems (MLWiNS) ProgramDARPA OpenProgrammableSecure 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**).
 \\ \\
  
Line 51: Line 51:
 ===== 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>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>​Fall 2022</​fc>​** (**[[Openings|click for details]]**).\\ 
 +\\ 
 +**<fc #​6495ed>​[Paper Acceptance]</​fc>​** __April 28, 2022__: Our paper, //​Decentralized Deep Reinforcement Learning Meets Mobility Load Balancing//,​ has been accepted to //IEEE/ACM Trans. Netw.// (**TNET**) ​ Congratulations Hao-Hsuan! This is a collaborative work with [[https://​www.sra.samsung.com/​|Samsung Research America]].\\ 
 +\\ 
 +**<fc #​6495ed>​[Paper Acceptance]</​fc>​** __April 27, 2022__: Our paper, //UAV Swarm-Enabled Aerial Reconfigurable Intelligent Surface: Modeling, Analysis, and Optimization//,​ has been accepted to //IEEE Trans. Commun.// (**TCOM**) ​ Congratulations Bodong! \\ 
 +\\ 
 +**<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>​[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>​[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>​[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 #​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>​** __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>​** __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 #​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>​[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!\\
start.txt · Last modified: 2022/05/03 18:00 by lingjialiu