Hasan got his PhD from the University of Edinburgh in 2025.

Hasan holds an MSc in Advanced Chemical Engineering from Imperial College London and a Bachelor’s degree in Chemical Engineering from the University of Leeds.  His current research activities are focused on augmenting equations of state (EoS) with machine learning and building data-driven models for gas sorption in polymeric membranes. He is also interested in numerical methods and mathematical optimization (mostly as an amateur!).

Related projects 

• CHARMPOL project
• RSE Research Workshop Award-with Demokritos Inst. Greece 2023, A Machine Learning-Aided Modeling Platform for the design of Hydrogen-Ready materials 

Related publications

Google Scholar profile

The workflow for the development of a machine learning based group-contribution non-equilibrium lattice fluid (ML-GC-NELF) model and its application to gas sorption.