Zhigang Chen | Computer Network | Research Excellence Award

Mr. Zhigang Chen | Computer Network | Research Excellence Award

Professor | Central South University | China

Mr. Chen Zhigang is a leading researcher in computer science specializing in edge computing, Internet of Things, wireless networks, and artificial intelligence-driven systems. His work advances mobility-aware edge caching, resource allocation, and intelligent optimization for next-generation communication and computing environments. He has contributed extensively to high-impact IEEE publications and holds multiple patents in AI, IoT, and smart systems. His research demonstrates strong global influence, with Scopus metrics indicating over 5,013 citations from 4,053 documents, 466 publications, and an h-index of 37, alongside substantial recognition on Google Scholar. His contributions position him prominently in intelligent computing and network optimization research.

Citation Metrics (Scopus)

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Citations
5,013

Documents
466

h-index
37

                                 ■ Citations
Documents
h-index


View Scopus Profile

Featured Publications

Chungwei Kuo | Computer Networks | Cybersecurity Achievement Award

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)