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.