Prof. Dr. Ke-Lin Du | Artificial Neural Networks | Best Researcher Award
Professor Guangdong University of Science and Technology China
Dr. Ke-Lin Du is a distinguished professor with a career spanning academia and industry. He received his PhD in Electrical Engineering from the Huazhong University of Science and Technology, China, in 1998. Currently, he serves as a professor at the Faculty of Mechanical and Electronic Engineering at Guangdong University of Science and Technology, Dongguan, China, since 2024. His journey includes impactful roles at leading institutions such as Concordia University, Huawei Technologies, and top research centers in Hong Kong. With a commitment to advancing technology, he has contributed significantly to signal processing, wireless communications, and machine learning.
Profile
Education
- PhD in Electrical Engineering – Huazhong University of Science and Technology, China (1998)
Experience
- Professor | Guangdong University of Science and Technology (2024–Present)
- Affiliate Professor | Concordia University (2011–2024)
- Research Staff | Concordia University (2001–2010)
- Technical & Research Positions | Huawei Technologies, China Academy of Telecommunication Technology, CUHK, HKUST, Enjoyor Inc., Xonlink Inc.
With 20+ years of experience, Dr. Du has significantly contributed to academic teaching, cutting-edge research, and technological innovations in various global institutions.
Research Interests
Dr. Ke-Lin Du’s research focuses on:
- Signal Processing
- Wireless Communications
- Machine Learning
His interdisciplinary expertise bridges theoretical concepts and practical applications, driving advancements in artificial intelligence and communication systems.
Awards and Honors
- Stanford’s Top 2% Most Cited Scientists (2019–2023, 5 consecutive years)
- Senior Member of IEEE (Since 2009)
- Recognized for outstanding contributions to academia, research, and leadership in over 115 international conferences.
Publications Top Notes:
Dr. Du is an accomplished author with 5 coauthored books, 13 co-edited books, 60 research papers, and 6 U.S. patents. Some notable publications include:
Neural Networks and Statistical Learning
Search and Optimization by Metaheuristics: Techniques and Algorithms Inspired by Nature
Neural Networks in a Softcomputing framework
Clustering: A neural network approach
Wireless communication systems: From RF subsystems to 4G enabling technologies
Using radial basis function networks for function approximation and classification
Exploiting multiple antennas for spectrum sensing in cognitive radio networks