James Kang

Dr James Jin Kang is a researcher in cybersecurity, artificial intelligence, cloud security, and digital health, with expertise spanning the Internet of Things (IoT), privacy-preserving AI, and data analytics. His research focuses on developing secure, trustworthy, and intelligent systems that address emerging challenges in connected devices, cloud computing, healthcare, and critical digital infrastructure.

His research has contributed to AI-driven cyber threat detection, malware and botnet detection in IoT networks, secure communication protocols for mobile health (mHealth) and wireless body area networks, privacy-preserving machine learning, cloud security, digital watermarking for medical imaging, and physiological signal analytics for healthcare applications. He is particularly interested in the intersection of cybersecurity and artificial intelligence, developing explainable, secure, and privacy-aware solutions for next-generation intelligent systems.

Dr Kang has published extensively in leading international journals and conferences, with his research receiving strong international recognition through citation impact and global research rankings. He has been recognised among the world’s top 2% of scientists in Computer Science based on the Stanford University–Elsevier citation impact rankings. His research has attracted international collaborations with academic and industry partners, contributing to the development of secure and resilient digital technologies.

His current research interests include AI security, trustworthy and sovereign AI, privacy-enhancing technologies, digital health, cloud and edge security, and resilient cyber-physical systems.