Invited Speakers 特邀嘉宾
Assoc. Prof. Guobing Qian
Southwest University, China
Guobing Qian is a Senior Member of both the IEEE and
the Chinese Institute of Electronics. He received
the Ph.D. degree in signal and information
processing from the University of Electronic Science
and Technology of China in December, 2015.
Currently, he serves as an Associate Professor at
the College of Electronic and Information
Engineering, Southwest University. His primary
research interests encompass adaptive filtering and
adaptive signal processing.
He has been invited to serve as a Guest Editor for
special issues in SCI-indexed journals, including
Electronics and Symmetry. Since 2022, he has
consecutively served as the Co-Chair of the Program
Committee for the International Conference on
Digital Signal Processing (ICDSP) from its 6th to
9th sessions. Furthermore, he has been appointed as
the Co-Chair of Publications for the 6th
International Conference on Electronic Engineering
and Informatics (EEI) in 2024.
Assoc. Prof. Fang Yang
Wuhan University of Science and Technology, China
Dr. Fang Yang is an associate professor at Wuhan
University of Science and Technology and a recipient
of the Hubei Province "Chutian Young Scholar" title,
with primary research interests in multi-modal
remote sensing image fusion and geodesic methods.
Her work focuses on advancing techniques for
denoising, image registration, and change detection,
aiming to improve the analysis and interpretation of
remote sensing data. Dr. Yang is the principal
investigator of a National Natural Science
Foundation Youth Project and has been involved in
several other National Natural Science Foundation
projects. With over 30 publications in international
journals and conferences, her research contributes
to the development of innovative methodologies for
remote sensing applications. Through her work, she
seeks to integrate cutting-edge mathematical models
and computational methods to address key challenges
in image processing.
Assoc. Prof. Zipeng Li
Northwestern Polytechnical University, China
Zipeng Li is an Associate Professor and Master’s
Supervisor at the School of Marine Science and
Technology, Northwestern Polytechnical University
(NPU). He holds a Ph.D. degree and has been engaged
in long-term research on signal processing theory
and underwater acoustic signal processing
technologies. His work focuses on strong-noise
non-stationary signal processing, weak signal
feature extraction, and deep learning-based
underwater target classification.
Li began his academic journey in 2010 at Xi’an
Jiaotong University (XJTU), where he studied in the
School of Mechanical Engineering. He graduated with
a double bachelor’s degree in 2014 and was directly
admitted to a Ph.D. program. From 2017 to 2019, he
conducted joint Ph.D. training at the University of
Toronto, Canada, under the supervision of Prof.
Viliam Makis, a renowned expert in operations
research and signal processing. He obtained his
Ph.D. in Mechanical Engineering from XJTU in 2020.
His primary research directions include:
•Signal processing theories and innovative methodologies
•Active/passive sonar underwater detection
•Underwater acoustic target classification and recognition
Research interests encompass:
•Novel adaptive signal processing methods applied to
acoustic/vibration signals
•Extraction of extremely weak features from high-noise
non-stationary signals
•Deep learning-driven underwater target classification techniques
Assoc. Prof. Xiaoying Song
Wuhan University of Science and Technology, China
Xiaoying Song received the B.S. degree in electronic
science and technology and the Ph.D. degree in
microelectronics and solid-state electronics from
Wuhan University, Wuhan, China, in 2012 and 2017,
respectively. Since July 2017, she has joined the
School of Information Science and Engineering at
Wuhan University of Science and Technology, Wuhan,
where she was recognized as a Chutian Scholar of
Hubei Province. Her research interests include graph
signal processing, graph learning, and their
applications in brain network analysis，as well as
QSAR/QSPR model learning of compounds.
Assoc. Prof. Hui Tang
Wuhan University of Science and Technology, China
Hui Tang received the B.E. degree in electrical and
electronic engineering and the Ph.D. degree in radio
physics from Wuhan University, China, in 2011 and
2016, respectively. She was a visiting Ph.D. student
at Arizona State University, USA, from September
2014 to August 2016. She is currently an Associate
Professor at Wuhan University of Science and
Technology. Her research interests include machine
learning, graph neural networks, and radar signal
processing.