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

Authors

Sian Lun Lau ⋅ MY 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.

About the Speaker

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+.

Downloads

Issue

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

Article ID

SPP-2025-INV-PS-34

Section

Invited Presentations

Published

2025-06-26

How to Cite

[1]

SL Lau, Development of a cloud-based radioluminescence dosimetry measurement system: Lessons learned and the way forward, Proceedings of the Samahang Pisika ng Pilipinas 43, SPP-2025-INV-PS-34 (2025). URL: https://proceedings.spp-online.org/article/view/SPP-2025-INV-PS-34.