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lingjialiu
start [2022/05/03 18:00] (current)
lingjialiu
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 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 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 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) ​Program, NSF/Intel Partnership on Machine Learning for Wireless Networking Systems (MLWiNS) Program, DARPA Open, Programmable,​ Secure 5G (OPS-5GProgram, 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**).
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 ===== What's New: ===== ===== 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 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.1641338335.txt.gz · Last modified: 2022/01/04 18:18 by lingjialiu