Biography
Dr. Tony Hii Chang Soon received his PhD in Electrical and Electronic Engineering (Biomedical Engineering & AI) from Universiti Kebangsaan Malaysia. He is currently a lecturer at the School of Artificial Intelligence and Robotics, Xiamen University Malaysia.
His research focuses on AI-driven biomedical engineering solutions, particularly marker-free gait and motion analysis for neurological disorder monitoring. He also works on computer vision, medical imaging, and intelligent healthcare systems, with wider interests in robotics and autonomous systems. Dr. Hii is dedicated to advancing interdisciplinary innovation and mentoring students to apply engineering and AI technologies to solve real-world healthcare and industry challenges.
Research Interest
Biomedical Engineering & Artificial Intelligence; Marker-Free Gait & Motion Analysis; Medical Imaging & Computer Vision; Intelligent Healthcare Systems; Robotics & Autonomous Systems
Educational Background
PhD (Electrical & Electronic Engineering), Universiti Kebangsaan Malaysia (2025)
BSc (Electrical & Electronic Engineering), Universiti Kebangsaan Malaysia (2021)
Working Experience
Lecturer, Xiamen University Malaysia (2025 – present)
PhD Research Assistant, Universiti Kebangsaan Malaysia (2021 – 2025)
R&D Software Engineering Intern, NI Malaysia Sdn. Bhd. (2020)
Research Experience
PhD Project (2021–2025): Development of a cerebellar ataxia monitoring system using video kinematics and deep learning.
MOSTI Project (2021–2024): Validation of a cerebellar ataxia monitoring app for clinical and home-based gait assessment.
Undergraduate Project (2020–2021): Autonomous drone navigation system with custom object detection and avoidance algorithm.
Representative Publications
Hii, C.S.T., Gan, K.B., Zainal, N., Mohamed Ibrahim, N., Azmin, S., Mat Desa, S.H., van de Warrenburg, B. & You, H.W. 2023. Automated Gait Analysis Based on a Marker-Free Pose Estimation Model. Sensors 23(14): 6489. (Q2, IF-3.4)
Tony Hii, C.S., Gan, K.B., Woon You, H. & Zainal, N. 2024. Frontal Plane Spatial and Temporal Gait Assessment using MediaPipe Pose. Jurnal Kejuruteraan 36(4): 1561–1574. (WoS ESCI)
Hii, C.S.T., Gan, K.B., You, H.W., Zainal, N., Ibrahim, N.M. & Azmin, S. 2024. Frontal Plane Gait Assessment Using MediaPipe Pose. In Islam, M.T., Misran, N., & Singh, M.J. (eds.). Proceedings of the 8th International Conference on Space Science and Communication. pp. 347–356. Singapore: Springer Nature Singapore
Tony Hii, C.S., Beng Gan, K., You, H.W., Zainal, N., Ibrahim, N.M., Azmin, S. & Shattar, N.A. 2023. Frontal Plane Gait Analysis using Pose Estimation Models. In 2023 IEEE 2nd National Biomedical Engineering Conference (NBEC). pp. 1–6. IEEE.
Tony Hii, C.S., Gan, K.B., Zainal, N., Ibrahim, N.M., Md. Rani, S.A. & Shattar, N.A. 2022. Marker Free Gait Analysis using Pose Estimation Model. In 2022 IEEE 20th Student Conference on Research and Development (SCOReD). pp. 109–113. IEEE.
Honors / Awards
Innovate Malaysia Design Competition 2021 – Autonomous Drone for Oil Palm Fruit Ripeness Detection with Cloud Analysis (Microsoft Track: 1st Prize)
NI Autonomous Robotics Competition 2021 (Consolation Prize)
Intel University VLSI Bootcamp 2021 (3rd Prize)
Dean’s Award, Faculty of Engineering and Built Environment, UKM