Dr Teoh Yun Xin
- Lecturer
- School of Computing and Artificial Intelligence
Biography
Dr Yun Xin Teoh is a lecturer at the School of Engineering and Technology, ºìÐÓÊÓƵ University. She holds a PhD in Biomedical Engineering from Universiti Malaya and has contributed to international research through a mobility stay at LISSI, Université Paris-Est Créteil, and the France-Malaysia Collaboration Programme. Prior to her current role, she was a Senior Research and Development Associate at Aerosim (HK) Limited, working on projects involving ESG, IoT, and AI technologies. Her research interests include medical image analysis, AI in clinical applications, and rehabilitation engineering.
Academic & Professional Qualifications
- PhD in Biomedical Engineering, Universiti Malaya, Malaysia (2024)
- Bachelor of Biomedical Engineering (Prosthetics and Orthotics) (Hons), Universiti Malaya, Malaysia (2020)
Research Interests
- Machine Learning, Deep Learning and Explainable AI
- Computer Vision
- Medical Image Analysis
- Rehabilitation Engineering
Teaching Areas
- Image Processing
- Programming Principles
- Rehabilitation Engineering
- Machine Learning and Deep Learning
Courses Taught
- Fluid Mechanics
- Programming Principles
- Image Processing
- Machine Learning
Notable Publications
Teoh, Y. X., Othmani, A., Goh, S. L., Usman, J., & Lai, K. W. (2024). Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review. IEEE Access.
Teoh, Y. X., Alwan, J. K., Shah, D. S., Teh, Y. W., & Goh, S. L. (2024). A scoping review of applications of artificial intelligence in kinematics and kinetics of ankle sprains-current state-of-the-art and future prospects. Clinical Biomechanics, 113, 106188.
Teoh, Y. X., Othmani, A., Lai, K. W., Goh, S. L., & Usman, J. (2023). Stratifying knee osteoarthritis features through multitask deep hybrid learning: data from the osteoarthritis initiative. Computer Methods and Programs in Biomedicine, 242, 107807.
Tee, C. A., Teoh, Y. X., Yee, P. L., Tan, B. C., & Lai, K. W. (2021). Discovering the Ganoderma Boninense Detection Methods using Machine Learning: A Review of Manual, Laboratory, and Remote approaches. IEEE Access, 9, 105776–105787.
Achievements & Accolades
2022 Doctoral Research Mobility Grant sponsored by Embassy of France in Malaysia