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20232024

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Research interests

dr. Sin Yong Teng's research bridges between chemical engineering/chemistry and data-driven modelling. His expertise spans different modelling techniques, such as chemometrics, machine learning, mathematical programming, process analysis, kinetic modelling, process optimization, etc. These techniques are integratively applied towards both fundamental and semi-applied problems that address chemical knowledge and sustainability.

Sin Yong has received multiple top 1% awards from Web of Science and serves as a reviewer for many international journals such as Analytica Chimica Acta, Journal of Cleaner Production, Renewable Energy, Process Integration and Optimization, Artificial Intelligence Reviews, Chemometrics and Intelligent Laboratory Systems etc. He also serves as an editor for Energy Elsevier (IF=9), Discover Sustainability Nature Springer (IF=2.6), Sustainability (IF=3.9) and other journals.

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