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. 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