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Post-Doctoral

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Dr.Pak Ming Fan (Leo)

Dr. Fan received his Bachelor’s, Master’s, and Ph.D. degree in 2024 in Computer Science and Engineering from the Hong Kong University of Science and Technology (HKUST). At HKUST, he conducted research on improving education through extended reality (XR) technologies and explored innovative approaches to enhance design thinking education. He also contributed to the development of advanced learning experiences on Massive Open Online Course (MOOC) platforms. During his doctoral studies, he worked on applying XR to enhance STEAM education experiences, bridging educational technology and STEAM applications.



At present, Dr. Fan is continuing his research in the interdisciplinary areas of XR and healthcare education. His research interests include immersive learning systems, educational technology, and human-computer interaction. His research direction includes XR-enhanced surgical planning, experiential learning environments, and intelligent MOOC systems.

Dr.Pak Ming Fan (Leo)

Projects

Publication

 ■ Materials Science

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Clinical

Computer Science

Bioinformatics


P. M. Fan, S. Thanyadit and T. -C. Pong, "VisTA-LIVE: A Visualization Tool for Assessment of Laboratories in Virtual Environments," in IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 10, pp. 6813-6825, Oct. 2024, doi: 10.1109/TVCG.2023.3341079.


P. M. Fan, S. Thanyadit and T. -C. Pong, "A Design Thinking Approach to Construct a Multi-learner VR Lab Monitoring and Assessment Tool Deployed in an XR Environment," 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Shanghai, China, 2023, pp. 731-732, doi: 10.1109/VRW58643.2023.00208.

Opportunities

Digital Health Laboratory (under O&T Dept, HKU) welcomes applications from high potential candidates with academic excellence, research ability and potential, and good communication, and interpersonal abilities for multiple research and engineering positions, including Research Assistant, Mphil, PhD and PostDoc Fellow. We are also looking for Algorithm Researchers, Algorithm Engineers, Data Scientists, and Technicians working in either Mainland (Beijing, Shenzhen) or Hong Kong.

If you have interest, please fill in the following information with your Résumé/CV (link) and apply. We will contact you!

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