WGCEES-2026

Maryam Nasiri Ghiri is a Ph.D. researcher at the University of Lancashire, specialising in adsorption-based separation technologies. Her research focuses on the optimisation of temperature–vacuum swing adsorption (TVSA) processes using amine-functionalised metal–organic frameworks (MOFs) for direct air capture (DAC) of CO2. She integrates detailed process simulation with artificial neural networks (ANNs) and optimisation algorithms to enhance the efficiency and scalability of DAC systems. Her work aims to bridge the gap between material design and process performance by leveraging artificial intelligence to accelerate the identification of high-performance adsorbents. Maryam’s broader research interests include sustainable process design, clean energy systems, and carbon capture technologies that contribute to achieving global net-zero objectives.