Prof. Dr. Wen-Chung Tsai | Computer Science and Artificial Intelligence | Best Researcher Award

Associate Professor National Taichung University of Science and Technology Taiwan

Dr. Wen-Chung Tsai is an esteemed academic and researcher specializing in electronics engineering and computer science. He obtained his Ph.D. from National Taiwan University and has extensive experience in both academia and industry. Currently, he serves as an Associate Professor at the National Taichung University of Science and Technology, focusing on embedded systems, AI, and information security.

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🎓 Education

Ph.D. in Electronics Engineering – National Taiwan University (2006–2011)
M.S. in Electrical Engineering – National Cheng Kung University (1996–1998)
B.S. in Computer Science & Information Engineering – Tamkang University (1992–1996)

💼 Experience

Associate Professor – National Taichung University of Science and Technology (2022–present)
Associate Professor – Chaoyang University of Technology (2020–2022)
Assistant Professor – Chaoyang University of Technology (2013–2020)
Engineer – Industrial Technology Research Institute (2011–2013)
Visiting Scholar – University of Wisconsin-Madison (2010)
Deputy Manager – VIA Technologies (2000–2009)

🔬 Research Interests

Embedded Systems & Internet of Things
Software & Hardware Design Integration
Artificial Intelligence & Information Security
Wireless Networks & Communication Protocols

📚 Publications Top Notes:

Field-Programmable Gate Array-Based Implementation of Zero-Trust Stream Data Encryption for Enabling 6G-Narrowband Internet of Things Massive Device Access

Anticipative QoS Control: A Self-Reconfigurable On-Chip Communication

Automatic Key Update Mechanism for Lightweight M2M Communication and Enhancement of IoT Security: A Case Study of CoAP Using Libcoap Library

Network-Cognitive Traffic Control: A Fluidity-Aware On-Chip Communication

Implementatons of Health-Promotion IoT Devices for Secure Physiological Information Protection

Anticipative QoS Control: A Self-Reconfigurable On-Chip Communication

3D Bidirectional-Channel Routing Algorithm for Network-Based Many-Core Embedded Systems

Bi-routing: a 3D bidirectional-channel routing algorithm for network-based many-core embedded systems

A Configurable Networks-on-Chip Router Using Altera FPGA and NIOS2 Embedded Processor

Analysis of the relationship between the radial pulse and photoplethysmography based on the spring constant method

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.

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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

Particle swarm optimization

Exploiting multiple antennas for spectrum sensing in cognitive radio networks