CHONG Su Sin
Assistant Professor Ts. Dr.
About Me
Dr. Chong Su Sin received her Master Degree in Applied Physics from National University of Malaysia in 2011 and PhD Degree in Engineering from University Malaya, Malaysia in 2016. She subsequently joined School of Mathematics, Computer Science & Engineering at University of London, United Kingdom as a researcher. She currently works as an Assistant Professor at School of Energy and Chemical Engineering (SECE), Xiamen University Malaysia (XMUM). Her current research interests include the Smart Window, Green Synthesis and Application of Carbon-based Quantum Dots, although she has concurrent research in Design and Development in Fiber Optics Sensor.
- PhD Degree (Engineering), Department of Chemical Engineering, University of Malaya, Malaysia (2016)
- Master Degree (Applied Physics), School of Applied Physics, National University of Malaysia, Malaysia (2011)
- Bachelor Degree (Physics), School of Applied Physics, National University of Malaysia, Malaysia (2010)
• Professional Technologist (Ts.)
Research Interests
Research Project(s)
- Precision Farming
- Nature-based Carbon Quantum Dots
- Fibre Optics Sensor
Current Courses Taught
- G0362 – Science and Nature
- EGE401 – Practices of Energy Technology
- BSC108 – General Physics Laboratory
- FSC110 – General Physics Experiments: Mechanics, Thermodynamics, Electromagnetism and Optics
Local Grant(s)
- Xiamen University Malaysia Research Fund (XMUMRF/2019-C4/IENG/0023), Principal investigator, Ongoing.
- Fundamental Research Grant Scheme (FRGS/1/2021/STG05/XMU/02/2), Principal investigator, Ongoing
Journal(s)
Su Sin Chong, A. R. Abdul Aziz, Sulaiman W. Harun. (2013). Fibre Optic Sensors for selected wastewater characteristics. Sensors, 13(7): 8640-8668.
Su Sin Chong, A. R. Abdul Aziz, Sulaiman W. Harun, Hamzah Arof. (2014). Temperature Compensation in Determining of Remazol Black B Concentrations Using Plastic Optical Fibre Based Sensor. Sensors, 14(9):15836-15848.
Su Sin Chong, A. R. Abdul Aziz, Sulaiman W. Harun, Hamzah Arof. (2015). Dual Output Approach In Dye Concentrations Determination Using Non-Adiabatic Tapered Fiber Sensors. IEEE Sensors Journal, 15(7): 3903-3908.
Su Sin Chong, A. R. Abdul Aziz, Sulaiman W. Harun, Hamzah Arof , Shahaboddin Shamshirband. (2015). Application of Multiple Linear Regression, Central Composite Design, and ANFIS models in Dye Concentration Measurement and Prediction Using Plastic Optical Fibre Sensor. Measurement, 74: 78-86.
Su Sin Chong, A. R. Abdul Aziz, Sulaiman W. Harun, Hamzah Arof. (2015). Dye Concentration Determination With Cross-sensitivity Compensation. Sensors and Actuators B: Chemical, 226: 450-456.
Su Sin Chong, A. R. Abdul Aziz, Sulaiman W. Harun, Hamzah Arof. (2016). Dye Concentrations Measurement Using Mach-Zehner Interferometer Sensor and Modeled By ANFIS. IEEE Sensors Journal, 16(22): 8044-8050.
N. Irawati, Sulaiman W. Harun, H.A. Rahman, Su Sin Chong, N.A. Hamizi, H. Ahmad. (2017). Temperature sensing using CdSe quantum dot doped poly (methyl methacrylate) microfiber. Applied Optics, 56 (16): 4675-4679.
Yohanz Khor, A.R. Abdul Aziz, Su Sin Chong*. (2022). Synthesis of Carbon-Based Quantum Dots Using Lemon Juice under Hydrothermal Method. International Journal of Nanoelectronics and Materials, 15 (Special Issue): 241-253.
Current Supervision (Postgraduate only)
- Khor Yohanz
Paper-based sensor doped with biomass-derived quantum dots in water quality monitoring
2021 – Present
Xiamen University Malaysia - Eugene Ling Wei Hong
Interfacial behaviour of distributed polymer fiber optics sensor in soil moisture monitoring
2022 – Present
Xiamen University Malaysia
4th China Internet + College Student Innovation and Entrepreneurship Competition, 2018. (Silver Award). Sugar-based Quantum Dot: Application in Luminescent Solar Concentrator.
Malaysia Nanotechnology Olympiad Competition, 2022. (Gold Award). Sustainable future through palm oil biowaste-derived graphene for photodegradation and hydrogen photocatalysis production in palm oil mill effluent.
Malaysia Techlympic, Category 5.2B Smart Farming, 2022. (Third place). Solar energy harvesting for smart farming application in irrigation, fertilization, temperature and water level monitoring system.