Development of a cloud-based radioluminescence dosimetry measurement system: Lessons learned and the way forward

Authors

  • Sian Lun Lau Department of Smart Computing and Cyber Resilience, Sunway University

Abstract

This talk shares the journey and experience in developing a cloud-based radioluminescence dosimetry measurement system. It focuses on how the era of the Internet and AI will influence R&D work in dosimetry measurement. The ability to measure real-time dosimetry data and model the data using AI opens up new possibilities and innovative solutions.

Author Biography

  • Sian Lun Lau, Department of Smart Computing and Cyber Resilience, Sunway University

    Dr. Sian Lun LAU received his Dr.-Ing. and MSc. in Electrical Communication Engineering from the University of Kassel, Germany. He also holds a BEng with Hons in Electronics and Telecommunications Engineering from Universiti Malaysia Sarawak (UNIMAS).
    During his nine years (2004–2013) as a researcher at the Chair for Communication Technology (ComTec) at the University of Kassel, he has worked and managed various German National- and EU-funded research projects. Among them are EU IST-MobiLife, ITEA S4ALL, BMBF MATRIX and EU-SEAM4US.
    He joined Sunway University, Malaysia, in February 2013 as a senior lecturer and Head of the Department of Computing and Information Systems until March 2021. He is currently a Professor at the Department of Smart Computing and Cyber Resilience at the Faculty of Engineering and Technology.
    He is currently a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and serves as the Vice Chair of the IEEE Computer Society Malaysia Chapter for the term 2023/2024 and 2025/2026. His research interests include ubiquitous computing, sustainable smart city, context-awareness, and applied machine learning. His recent research projects include EDUFI ImpactXChange, ISPF BEST, EDUFI SustHack, MOSTI TED2 RADIC and US DOD DeepSpray+.

SPP2025 Proceedings Cover

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Published

2025-06-26

Issue

2025: Proceedings of the 43rd Samahang Pisika ng Pilipinas Physics Conference

Section

Invited Presentations

License

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How to Cite

[1]
“Development of a cloud-based radioluminescence dosimetry measurement system: Lessons learned and the way forward”, Proc. SPP, vol. 43, no. 1, p. SPP-2025-INV-PS-34, Jun. 2025, Accessed: Mar. 31, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2025-INV-PS-34