Dr Nirmal Kumar Shahi is a Marie Skłodowska-Curie Postdoctoral Fellow working on AI- and simulation-based modelling of drinking water quality in distribution networks. He obtained his PhD in Civil and Environmental Engineering from Dankook University in South Korea, focusing on sustainable water treatment and the4 control of emerging contaminant.

Currently, his research focuses on disinfection by-products (DBPs), PFAS, emerging contaminants, and process-driven water quality risks, integrating EPANET-MSX, data analytics, and machine learning to better understand and manage drinking water quality. His scientific work aims to advance regenerative technologies and develop resilient, climate-adaptive water systems that promote environmental sustainability and planetary wellbeing.