معرفی
Charles Yeo is a Senior Lecturer in Information Technology at Charles Darwin University's Faculty of Science and Technology. He holds a Doctorate in Engineering and specializes in teaching hardware, mathematics, networking, software engineering, and project management. His research focuses on intelligent signal processing and control, networking, cybersecurity, and app development. He has contributed to interdisciplinary projects addressing biosecurity, advanced manufacturing, and edge computing.
Education: Doctorate in Engineering.
Research Interests: Charles’s work spans cybersecurity frameworks for IoT, medical imaging diagnostics using hybrid AI models, malware detection via LSTM networks, and secure healthcare data management through blockchain. His research also includes signal processing for control systems and edge inference optimization in multimodal models.
Key Projects:
- Co-Investigator in the ARC Industry Transformation Training Centre for Advanced Manufacturing (2021–2023).
- Leading a biosecurity risk analysis tool project for Northern Australia (2025–2026).
- Principal Investigator for a Masters project on Edge Inference optimization for multimodal LLMs.
Awards & Recognition: No specific awards mentioned, but his work has been widely cited (h-index 12 as of 2025).
Grants & Supervision: Supervised numerous student research projects including a PhD thesis on motor control systems. Active in securing grants for industry-academia collaborations.
Labs & Teams: Collaborates with cross-disciplinary teams in advanced manufacturing, biosecurity analytics, and AI-driven healthcare solutions.
