James Kang

Associate Professor James Kang

Senior Lecturer, Computer Science

Details

  • College: School of Science,Engineering & Tech
  • Department: School of Science,Engineering & Tech
  • Campus: Saigon South Campus Vietnam
  • james.kang@rmit.edu.vn

About

As a researcher, I specialize in Cybersecurity, Internet of Things (IoT), Mobile Health (mHealth), and Data Inference. My work focuses on malware botnet detection using deep reinforcement learning in IoT networks and the development of secure protocols for mHealth wireless body area networks. I also delve into predictive data mining for converged IoT from a mobile health perspective. My publications in these areas have received significant citations, highlighting the impact and importance of my contributions. Additionally, I have explored various aspects of sensor networks and data inferencing, further expanding the scope of my research. This diverse range of interests and expertise underscores my commitment to advancing knowledge in these critical fields, ensuring that my work remains at the forefront of innovation and development.

Academic positions

  • Associate Professor
  • National Taiwan University
  • Taipei, Taiwan
  • 31 Jul 2022 – 31 Aug 2023
  • Lecturer
  • Edith Cowan University
  • Perth, Australia
  • 20 Jul 2019 – 31 Dec 2021

Non-academic positions

  • Solutions Designer
  • Nokia (Australia)
  • Melbourne, Australia
  • 31 Jan 2007 – 31 Jul 2012

Teaching interests

Computing and Security

Research interests

  • Medical Informatics: Leveraging AI in healthcare for enhanced data management and decision support systems.Sensory Networks and IoT
  •  Sensors: Integrating AI algorithms for smarter data processing and decision-making in sensor networks and IoT applications.Inference
  •  Algorithms Development: Advancing AI-driven inference algorithms for accurate data analysis and predictive modeling.Cybersecurity
  •  Encryption and Authentication: Enhancing cybersecurity measures with AI-powered encryption and authentication technologies to safeguard systems and data.