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

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

Abdelrhman BASSIOUNY | Computer Science and Artificial Intelligence | Best Researcher Award

Mr. Abdelrhman BASSIOUNY | Computer Science and Artificial Intelligence | Best Researcher Award

University of Bremen Germany

Abdelrhman Bassiouny is a passionate Egyptian robotics researcher specializing in marine robotics, autonomous systems, and AI-powered disassembly. With international experience across Germany, France, and Egypt, he combines technical mastery in robotics with a strong academic background. He thrives in hands-on innovation, contributing to cutting-edge projects from underwater VSLAM to robotic e-waste disassembly. 🌊🤖

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Research Gate

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🎓 Education

Abdelrhman is currently completing his Erasmus Mundus Joint Master’s Degree in Marine & Maritime Intelligent Robotics (MIR), where he studied at Université de Toulon (France) and Universidad Jaume I (Spain). He graduated with honors in Mechatronics & Automation Engineering from Ain Shams University, Egypt. He also expanded his knowledge through specialized online courses in Deep Learning, Self-Driving Cars, and Project Management. 📘🌍
🔗 Master MIR Program
🔗 Ain Shams University

🛠️ Experience

Abdelrhman brings versatile research and teaching experience:

  • Master Thesis Intern at University of Bremen (Germany): Developed a query interface and machine learning pipeline for NEEMs robotics database.

  • Underwater VSLAM Intern at Laboratoire COSMER (France): Benchmarked SLAM algorithms using BlueROV in collaboration with IFREMER.

  • Research Assistant at Ain Shams University (Egypt): Led autonomous robotic disassembly projects, winning 3rd place in Robothon 2021.

  • Teaching Assistant at Ain Shams University: Taught ROS-based robotic control and supervised final-year projects.
    🌐 LinkedIn | 🌍 Personal Website

🔬 Research Interests

Abdelrhman’s research centers on:

  • Autonomous Robotics & Human-Robot Interaction 🤝

  • Symbolic Reasoning & Knowledge Representation 🧠

  • Underwater SLAM and Marine Robotics 🌊

  • E-waste Disassembly Automation using AI ♻️

  • ROS, TensorFlow, and Vision-based Robotics 📷

🏆 Awards

  • 🥇 Best Scientific Methodology AwardRoboCup MSL 2022 (Thailand)
    RoboCup 2022 History

  • 🥈 Runner-UpMIR Championship – Guerledus Challenge 2022
    Challenge Info

  • 🥉 3rd Place + Lightning Speed AwardRobothon Grand Challenge 2021 (TUM, Germany)
    Robothon Video

📚 Publications Top Notes: 

Prompt: Publications with hyperlinks, published year, journal (if applicable), and citation details in paragraph form.

Abdelrhman has authored two impactful research publications related to robotic disassembly of electronic waste:

“Comparison of Different Computer Vision Approaches for E-waste Components Detection to Automate E-waste Disassembly” (2021) – This paper evaluates vision-based algorithms for component detection, supporting more efficient and sustainable e-waste recycling.
🔗 View Publication
📈 Cited by: Google Scholar results

“Autonomous Non-Destructive Assembly/Disassembly of Electronic Components using A Robotic Arm” (2021) – Introduced a robotic system for semi-destructive disassembly using ROS and vision systems.
🔗 View Publication
📈 Cited by: Google Scholar results