After working as an engineer in the ECS field, Fredy John Porathur realised that the practical work during the testing and verification phase was both time-consuming and inefficient. He remained uncertain about a product’s performance until it was built and tested. Typically, reliability tests were strenuous and lengthy. What if one could create a model that predicted outcomes from the outset, eliminating unnecessary efforts? MIRELAI was a distinctive project targeting this challenge, grounded in a physics of degradation-informed machine-learning approach. This project melded theoretical research with hands-on industry experience. This was precisely why Fredy John Porathur was so passionate about joining the MIRELAI network and he eagerly anticipated contributing to its endeavours.