Track 5
Machine Learning for Signal Processing
1. Track Chairs:
Assoc. Prof. Yang Su, Nanjing University of
Information Science and Technology, China
Assoc. Prof. Fei Wang, Nanjing University of
Aeronautics and Astronautics, China
Assoc. Prof. Qinghua Han, Zaozhuang University, China
2. Track Topics:
Potential topics of interest include but are not
limited to:
▪ Data Mining with Its Applications
▪ Deep Learning for Signal and Information
Processing
▪ Machine Learning for Signal Processing
▪ Nonlinear Signal Processing
▪ Analog and Mixed Signal Processing
▪ Parallel and Distributed Signal Processing
▪ Non-Stationary Signal Processing
▪ Higher Order Statistics Theory with Applications
▪ Blind Signal Processing with Applications
▪ Natural Language Processing
3. Introduction of Track Chairs
Assoc.
Prof. Yang Su, Nanjing University of Information
Science and Technology, China
Yang Su received the Ph.D. degree in information and
communication engineering from University of
Electronic Science and Technology of China (UESTC),
Chengdu, China, in 2023. He then joined the School
of Electronic and Information Engineering, Nanjing
University of Information Science and Technology
(NUIST). His current research interests focus on the
networked radar system, radar resource-aware
management, collaborative sensing and information
fusion, optimization theory and low probability of
intercept, target tracking. He has published
scientific articles in refereed journals, such as
IEEE Transactions on Aerospace and Electronic
Systems, Signal Processing, IEEE Systems Journal,
IET Signal Processing, Journal of Systems
Engineering and Electronics, etc.
Assoc.
Prof. Fei Wang, Nanjing University of
Aeronautics and Astronautics, China
He received the B. S. degree in power engineering
from HoHai University in 1998, and the M.S. and the
Ph.D. degrees in signal processing from Jilin
University in 2003 and 2006, respectively; in 2011,
he worked as a visiting scholar at Queens University
of Belfast for one year funded by the China
Scholarship Council; in 2017, he was invited by the
14th IBCAST International Conference, the CIE radar
2021 and the ICSPS 2022 to give special lectures; he
has successively presided over or undertaken
Aeronautical Science Foundation of China, National
Natural Science Foundation of China, National
Defense Pre-search Program and National Defense
Program (973 Program); he has won the first prize of
Jilin Province Science and Technology Progress Award
twice, and the second prize of National Defense
Science and Technology Progress Award twice; he has
published 30 papers included in SCI, authorized 10
national invention patents, 2 software copyrights,
and co-published 5 monographs.
Assoc.
Prof. Qinghua Han, Zaozhuang University, China
Qinghua Han received the B.S. degree in electronics
and information engineering from Qingdao University
of Technology in 2009, the M.S. degree in
communication and information system from Nanjing
University of Science & Technology in 2012 and the
Ph.D. degree in communication and information system
from Nanjing University of Aeronautics and
Astronautics in 2018. He is currently an associate
professor of Zaozhuang University and a postdoctoral
fellow of Nanjing University of Information Science
and Technology. He has won the Outstanding Young
Talent of Qingtan Scholar at Zaozhuang University.
He has successively presided over or undertaken
National Natural Science Foundation of China,
National Defense Pre-search Program, National
Defense Program (973 Program) and China Postdoctoral
Science Foundation. He has published over 10 papers,
and authorized 8 national invention patents. Now he
serves as a reviewer for academic journals such as
IET Radar, Sonar & Navigation and Journal of Radar.
His research interests include new system radar,
radar signal processing and radar resource
management.