Projects per year
Personal profile
Research Interests
- High performance catalyst preparation for Fischer-Tropsch synthesis
- Cutting edge process intensification: microstructured reactor, fluidized bed reactor
- Artificial neural networks and machine learning for comprehensive kinetic modeling
- Lithium battery recycling via hydrometallurgical process
- Biomass high-valued conversion and biodiesel production
Teaching
- CHEE3036-Biochemical Engineering
- H81ING-Introductory Geology
- Chemical Reaction Engineering-(ENS3113 Australia)
- Chemical Process Safety-(ENS5116/ENS3114 Australia)
- Chemical Engineering Project Development (CHE 4180 Australia)
Person Types
- Staff
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 3 Finished
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Utilization of internal-CO2 curing in cement-based materials by using porous carriers
Kow, K. W. (PI), Xu, M. (CoI), Fow, K. L. (CoI) & Sun, Y. (CoI)
1/09/21 → 31/08/25
Project: Government Funded Projects › Vertical-Municipal/Departmental Government (市厅局级) Funded Projects
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Flavour modification and analytical authentication of composite fruit juices
Sun, Y. (PI)
1/12/18 → 30/11/22
Project: Government Funded Projects › Vertical-Municipal/Departmental Government (市厅局级) Funded Projects
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Key Technology and Application demonstration of HPP Natural Fruit and vegetable Juice processing HPP
Sun, Y. (PI)
30/09/18 → 30/09/21
Project: Government Funded Projects › Vertical-Municipal/Departmental Government (市厅局级) Funded Projects
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A molecular descriptor-based correlation with the composition of acid-pretreated cornstalk cultivation medium for biohydrogen production using a machine learning approach
Zhang, X., WANG, Y., Hu, J., Zhang, Q., Xuan, X., Shi, L. & Sun, Y., 29 Apr 2025, In: International Journal of Hydrogen Energy. 123, p. 307-320 14 p.Research output: Journal Publication › Article › peer-review
3 Citations (Scopus) -
An approach in developing graphical feature maps derived from machine learning and its application in loquat juice classification
Zhang, Q., WANG, Y., Hu, J., Zhang, X., He, J., Xuan, X., Shi, L. & Sun, Y., 30 Oct 2025, In: Food Chemistry. 490, 145081.Research output: Journal Publication › Article › peer-review
2 Citations (Scopus) -
Low-temperature catalytic oxidation of toluene using CeO2@MIL-101(Fe): Stability against water and SO2
Murindababisha, D., Yusuf, A., Kow, K. W., Sun, Y., Pan, R., Ren, Y., Chen, G. Z., Li, J., Wang, C. & He, J., May 2025, In: Process Safety and Environmental Protection. 197, 107005.Research output: Journal Publication › Article › peer-review
Open Access1 Citation (Scopus) -
A Review of Fluoride Removal from Phosphorous Gypsum: A Quantitative Analysis via a Machine Learning Approach
Jin, H., WANG, Y., An, X., Wang, S., Wang, Y., Yang, G., Shi, L. & Sun, Y., Jul 2024, In: Materials. 17, 14, 3606.Research output: Journal Publication › Review article › peer-review
Open Access5 Citations (Scopus) -
Camellia oleifera shell–reduced graphene oxide for adsorption of copper(II)
Jiang, S., Do, H., Yusuf, A., Xiao, Z., Wang, C., Li, J., Sun, Y., Ren, Y. & He, J., 15 Feb 2024, In: Materials Chemistry and Physics. 314, 128818.Research output: Journal Publication › Article › peer-review
Open Access8 Citations (Scopus)