Track 6

Array Signal Processing


1. Track Chairs:
Assoc. Prof. Jingwei Xu, Xidian University, China
Prof. Qi Liu, South China University of Technology, China
Assoc. Prof. Peng Xiao, Sun Yat-sen University, China


2. Track Topics:
Potential topics of interest include but are not limited to:

▪ Adaptive Beamforming
▪ DOA Technology with Applications
▪ Sensor Array and Multichannel Processing
▪ Adaptive Array Processing
▪ Space-Time Adaptive Processing
▪ Statistic Learning & Pattern Recognition
▪ Antenna Technology


3. Introduction of Track Chairs


Track Chair 1: Assoc. Prof. Jingwei Xu, Xidian University, China
Email: xujingwei1987@163.com
Personal Website: https://web.xidian.edu.cn/jwxu/

Dr. Xu received the B.S. degree in electronic engineering, and the Ph.D. degree in signal and information processing, both from Xidian University, China, in 2010 and 2015, respectively. From 2015/12 to 2018/07, he was a lecturer at National Lab of Radar Signal Processing in Xidian University where he now serves as Associate Professor. From 2017/12 to 2019/12, he was a Postdoctoral Fellow under “Hong Kong Scholar Program” at the City University of Hong Kong. His research interests include radar system modeling, multi-sensor array signal processing, space-time adaptive processing, multiple-input multiple-output radar, and waveform diverse array radar. He has published more than 100 scientific articles in refereed journals, such as IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems, etc. He held Special Sessions titled “Waveform Diverse Array and System Signal Processing” in IEEE SAM2018 and IEEE SAM2020.



Track Chair 2: Prof. Qi Liu, South China University of Technology, China
Email: drliuqi@scut.edu.cn
Personal Website: https://sites.google.com/site/qiliucityu/home


Qi Liu received his Ph.D. degree in Electrical Engineering from City University of Hong Kong, Hong Kong, China, in 2019. His research interests broadly lie in machine learning, optimization methods, and neuromorphic computing with applications to DOA estimation, robust sparse recovery, spiking neural networks, matrix/tensor completion, image/video/speech signal processing. From 2018 to 2019, he was a Visiting Scholar at ECE, University of California, Davis, CA, USA. He worked as a Research Fellow in ECE, National University of Singapore, Singapore, from 2019 to 2022. Since 2022, Dr. Liu is a Professor at School of Future Technology, South China University of Technology. Currently, Dr. Liu serves as the Associate Editor of 《Digital Signal Processing》.



Track Chair 3: Assoc. Prof. Peng Xiao, Sun Yat-sen University, China
Email: xiaop36@mail.sysu.edu.cn
Personal Website: http://marinet.sysu.edu.cn/member/member01/1383447.htm


Peng Xiao received the B.S. and Ph.D. degrees from the Northwestern Polytechnic University in 2011 and 2017, respectively. From December 2017 to December 2019, he was a postdoctoral researcher in the College of Information Engineering, Shenzhen University. From July 2019 to August 2020, he conducted postdoctoral research in the Vrije Universiteit Brussel, Belgium. Now he is an Associate Professor with School of Marine Engineering and Technology, Sun Yat-sen University. His research fields include underwater acoustic modeling, signal processing theory and interpretable deep learning network. He has authored 40+ papers in the top-tier journals (e.g., IEEE Transactions on Signal Processing, Elsevier Signal Processing, etc) and in the international conferences (e.g., ICASSP, EUSIPCO, etc). He served as a reviewer for authoritative academic journals such as IEEE TAES, IEEE JOE, IEEE TIT, Elsevier SP, and chairperson of several international signal processing conferences such as the International Radar Conference 2021 and the China Ocean Acoustics Conference 2020. He was recognized as Shenzhen Overseas High-Caliber Personnel (Level C) in 2020.