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)

 

Alberto Moccardi | Cybersecurity | Best Researcher Award

Dr. Alberto Moccardi | Cybersecurity | Best Researcher Award

Phd, Università degli studi di Napolli Federico II, Italy

🌟 Alberto Moccardi is a dedicated researcher and Ph.D. candidate at the University of Naples Federico II in Naples, Italy, under the Department of Electrical Engineering and Information Technologies. His expertise spans Artificial Intelligence (AI) and Internet of Things (IoT) applications, particularly in predictive maintenance and smart road management systems. Alberto actively contributes to advancing human-centered AI methodologies to address pressing technological and societal challenges.

Publication Profile

ORCID

Education

🎓 Alberto Moccardi is pursuing his Ph.D. at the University of Naples Federico II. His academic journey is deeply rooted in electrical engineering and information technologies, emphasizing cutting-edge AI solutions in IoT ecosystems.

Experience

💼 With his role at the University of Naples Federico II, Alberto has developed a robust background in research and application-driven innovation. He has contributed to impactful projects in predictive maintenance and AI-driven road infrastructure management.

Research Interests

🔍 Alberto’s research interests focus on AI-driven methodologies, IoT applications, and human-centered systems. He is passionate about designing robust frameworks for adversarial attack detection in IoT systems and creating equitable solutions for smart city management.

Awards

🏆 Alberto’s innovative work has gained recognition through academic publications and conference presentations, reflecting his dedication to leveraging technology for societal benefit.

Publications

Detecting Adversarial Attacks in IoT-Enabled Predictive Maintenance with Time-Series Data Augmentation
📜 Published: 2024-11-20 | Journal: Information
🔗 DOI: 10.3390/info15110740

AI Driven Potholes Detection for Equitable Repair Prioritization: Human-centred AI-driven methodology as support of road management system
📜 Published: 2023-12-14 | Conference: Proceedings of the 2023 Conference on Human-Centered Artificial Intelligence: Education and Practice
🔗 DOI: 10.1145/3633083.3633224

 

Jun Wu | network security | Best Researcher Award

Dr. Jun Wu | network security | Best Researcher Award

Lecturer, Hangzhou Dianzi University, China

Jun Wu is a dedicated lecturer at Hangzhou Dianzi University, known for his extensive research in information and communication engineering. With a Ph.D. from Southeast University, China, he has significantly contributed to advancements in wireless communication. Over the years, Jun has authored more than 80 publications and actively engages in impactful research areas like cognitive radio networks, machine learning, and network security.

Publication Profile

ORCID

🎓 Education:

Jun Wu earned his Ph.D. in Information and Communication Engineering from Southeast University in Nanjing, China, in 2018. This foundation has propelled his expertise in fields such as spectrum sensing and drone technologies.

💼 Experience:

As a lecturer at the School of Communication Engineering, Hangzhou Dianzi University, Jun has not only contributed to academia with numerous publications but also spearheaded several research projects and patent applications. His editorial role for Sensors journal showcases his commitment to furthering research in wireless sensor networks.

🔬 Research Interests:

Jun’s research interests include spectrum sensing and management, drone trajectory optimization, cognitive radio networks, wireless sensor networks, machine learning, and network security. His work emphasizes innovative solutions for the evolving Internet of Things (IoT) and unmanned aerial vehicle (UAV) technologies.

🏆 Awards:

Jun Wu’s dedication to research has garnered him recognition within the academic community, and his contributions through over 80 papers, 18 patents, and editorial roles reflect his impact. His influence is evidenced by his publications’ 542 citations and an H-index of 13.

Publications

“Distributed Sequential Detection for Cooperative Spectrum Sensing in Cognitive Internet of Things”
Published in Prime Archives in Sensors, 3rd Edition (Vide Leaf), Link to publication

“Spectrum Sensing and Access Technologies for Drones” (Guest Editor)
Special Issue in Sensors, View here