Assist. Prof. Dr. Chungwei Kuo | Computer Networks | Cybersecurity Achievement Award

Assistant Professor, Feng Chia University, Taiwan

Dr. Chung-Wei Kuo is an Assistant Professor at Feng Chia University, specializing in IoT security, lightweight cryptography, and countermeasures against side-channel attacks (SCAs). His research is dedicated to developing innovative encryption solutions for IoT devices, ensuring robust security while maintaining resource efficiency. Dr. Kuo has an active role in industry collaborations and mentoring young researchers. With a focus on advancing security for IoT ecosystems, he is a key player in the global cybersecurity community. 🌐🔒

Publication Profile

ORCID

Education

Dr. Kuo completed his Ph.D. in Electrical and Communications Engineering at Feng Chia University in Taichung, Taiwan, in 2016. His academic background is deeply rooted in information security and wireless communications. 🎓📚

Experience

Dr. Kuo’s academic journey includes roles such as Assistant Professor in the Information Engineering and Computer Science Department at Feng Chia University. He also holds invited positions, such as Chief Director of Activities at Apple RTC (2023-2025). Additionally, he serves as a course consultant for the Information Education Center. He has secured multiple research grants from the National Science and Technology Council to fund his innovative work on IoT and security. 💼📡

Awards and Honors

Dr. Kuo has received several prestigious awards and honors, including recognition for his pioneering research in side-channel attacks and lightweight cryptographic protocols. His research has been widely acknowledged for its contributions to securing IoT ecosystems. 🏅🔐

Research Focus

Dr. Kuo’s research interests lie at the intersection of IoT security, cryptography, and side-channel attack prevention. He focuses on creating encryption mechanisms for microcontrollers, balancing security with efficiency, and addressing vulnerabilities in resource-constrained environments. His ongoing research includes developing post-quantum computing-based attack-resistant platforms and enhancing IoT security with electromagnetic band-gap structures. 🔍💡

Conclusion

With a passion for cybersecurity and a clear vision for securing the next generation of IoT technologies, Dr. Chung-Wei Kuo continues to be a leading force in the research and development of cutting-edge cryptographic techniques. His contributions to the field are not only significant but also essential for the evolving digital landscape. 🔐🚀

Publications:

Dynamic Key Replacement Mechanism for Lightweight Internet of Things Microcontrollers to Resist Side-Channel Attacks. Future Internet, 17(1), 43. (SCIE)

Design and Application of Novel Stripline for IC-EMC Characteristic Measurement, IET Science, Measurement & Technology, Accepted, 2024-11. (SCIE)

ML-based Intrusion Detection System for Precise APT Cyber-clustering, Computers & Security, Accepted, 2024-11. (SCIE)

An authorization transfer protocol for confidentiality preserving in public access devices, Journal of Internet Technology, Accepted, 2024-07. (SCIE)

Design of Side-Channel-Resistant Electromagnetic Band-Gap on IoT Microcontroller, Journal of Internet Technology, Accepted, 2024-05. (SCIE)

CoNN-IDS: Intrusion Detection System based on Collaborative Neural Networks and Agile Training, Computers & Security, vol. 122, pp. 1-13, 2022-11. (SCIE)

Dr. Xiaoping Yang | Network Communication | Best Researcher Award

Researcher, Beijing University of Technology, China

🎓 Dr. Xiaoping Yang is a dedicated researcher in computer science with expertise in distributed systems, wired and wireless networking, machine learning systems, and the Internet of Things (IoT). She is currently pursuing her Ph.D. at the Beijing University of Technology, focusing on cutting-edge technologies like heuristic algorithms, deep reinforcement learning, 6G networking, and recommendation systems. With a strong academic foundation and extensive professional experience, Dr. Yang is making significant contributions to cloud-edge cooperation and intelligent offloading technologies. 🌐

Education

📚 Dr. Yang holds a Ph.D. in Computer Science and Technology (2022–Present) from the Beijing University of Technology. She also earned an M.S. in Software Engineering (2017–2020) from the same university and a B.E. in Computer Science and Technology (2013–2017) from Hebei University of Architecture and Engineering. Her academic journey reflects her unwavering commitment to excellence. 🏅

Professional Experience

💻 Dr. Yang worked as a Software Engineer at ByteDance (TikTok) in 2022, where she contributed to developing data governance systems and performing in-depth data analysis. Prior to this, she served as a Software Engineer at Kuaishou Technology (2020–2022), focusing on data tracking, storage, cleansing, and analysis. Her industry expertise underscores her ability to bridge research and real-world applications. 🚀

Awards and Honors

🏆 Dr. Yang’s accolades include being recognized as an Outstanding Graduate at the Provincial Level (Hebei Province, 2017) and winning First and Second Prizes in the Hebei Provincial Competition of the 8th China Computer Design Contest. Additionally, she received an Academic Scholarship for the 2022 Academic Year during her Ph.D. studies at the Beijing University of Technology. 🌟

Research Focus

🔍 Dr. Yang’s research interests span distributed systems, heuristic algorithms, deep reinforcement learning, mobile edge computing, 6G networking, edge caching, and deep learning-based recommendation systems. Her innovative contributions, especially in cloud-edge cooperation networks, reflect her commitment to advancing next-generation technologies. 🤖

Publications

Task Partition-Based Intelligent Offloading for Cache-Assisted Cloud-Edge Cooperation Networks. GLOBECOM 2023-2023 IEEE Global Communications Conference. IEEE, 2023. [Cited by: N/A]

Task partition-based computation offloading and content caching for cloud–edge cooperation networks. Symmetry 16.7 (2024): 906. [Cited by: N/A]

Intelligent Task Offloading for Caching-Assisted UAV Networks. 2024 5th Information Communication Technologies Conference (ICTC). IEEE, 2024. [Cited by: N/A]

DRL-Based Green Task Offloading for Content Distribution in NOMA-Enabled Cloud-Edge-End Cooperation Environments. ICC 2023-IEEE International Conference on Communications. IEEE, 2023. [Cited by: N/A]

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