Special Session III:  Intelligent Signal Processing


Signal processing plays a foundational role in modern science and technology, driving innovation in communications, sensing, engineering, multimedia, and artificial intelligence. Recent advances in data-driven algorithms, deep learning architectures, and adaptive modeling techniques have expanded the boundaries of traditional signal processing. This special session aims to bring together researchers and practitioners to exchange the latest developments, challenges, and emerging trends in signal analysis, transformation, and interpretation.

Related topics for this special session (but not limited to) :
• Statistical Signal Processing
• Sparse and Compressive Sensing
• Machine Learning for Signal Processing
• Array and Multichannel Processing
• Parallel and Distributed Signal Processing
• Acoustic Signal Processing
• Communication Signal Processing
• Intelligent Information Computing and Its Applications
• Biomedical Signal Processing
• Bayesian Signal Processing
• Multimodal Intelligent Information Processing

We invite researchers and practitioners from academia and industry to submit original research articles and comprehensive reviews that demonstrate significant advances in Intelligent Signal Processing theory and applications.

Submission Method


Electronic Submission System (.pdf) (Please select and click Special Session 3:  Intelligent Signal Processing to submit.)

Organizer


Zhao Haiquan, PhD in Engineering, Professor, Senior Member of IEEE and the Chinese Institute of Electronics, Elsevier Highly Cited Scholar, Global Top 0.05% Scholar (ScholarGPS), Global Top 2% Scientist (Stanford), Academic and Technical Leader of Sichuan Province, Outstanding Expert with Outstanding Contributions in Sichuan Province, Winner of the Sichuan Province Outstanding Youth Fund, Distinguished Expert of the Haizhi Program of the Sichuan Association for Science and Technology, has published 280 SCI papers, received six provincial and ministerial awards including the First Prize of Natural Science from the Chinese Society of Automation, the Second Prize for Science and Technology Progress from the Ministry of Education, the China Railway Science and Technology Progress Award, and the Tang Lixin Outstanding Scholar Award. He serves on the editorial boards of several international SCI journals including IEEE TASLP, IEEE TSMCA, IEEE SPL, and Signal Processing, among others. His main research areas are signal processing, pattern recognition, and artificial intelligence.

Fuyi Huang, with a PhD in Engineering, is an Associate Professor. He obtained his PhD in Information and Communication Engineering from Southwest Jiaotong University in 2019, joined the School of Computer and Electronic Information at Guangxi University in 2020, and was promoted to Associate Professor in 2023. His research interests are in adaptive filtering algorithms and their applications (such as DOA estimation), as well as adaptation, learning, and optimization over network.

 

 

Pengwei Wen received the B.S. degree from the College of Mathematics and Information Sciences, North China University of Water Resources and Electric Power, Zhengzhou, China, in 2014, and the Ph.D. degree in information and communication engineering from Southwest Jiaotong University, Chengdu, China, in 2019. Since 2019, he has been working with the School of electronic Information, Zhongyuan University of Technology, where he is currently an Associate Professor. His research interests include adaptive signal processing, distributed adaptation and learning theories.