Dr Pavlos GKINIS

Research Fellow

Dr Pavlos obtained his PhD in Chemical Engineering from the National Technical University of Athens. His research focused on chemical process engineering, transport phenomena, high-fidelity computational fluid dynamics (CFD) modelling, combined with machine learning for reduced order and data-driven predictive modelling of complex Chemical Vapour Deposition reactors. He has also worked on manifold learning methods on large-scale simulation data, specifically diffusion maps, during his stay at Johns Hopkins University as a Fulbright Scholar.

He joined CARES and the SM3 project in 2025 under Prof Alexei Larkin, to develop and optimise novel sustainable manufacturing processes for high-value molecules and materials, using process systems engineering and machine learning.

Singapore - CARES

Researchers

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