Sepideh Khalatabad is a PhD researcher at Ghent University, Belgium, working within the EU-funded AID4GREENEST project. Her work focuses on self-supervised deep learning for automated SEM microstructure analysis of steels, contributing to tools for data sorting, quality assurance, and microstructure classification. She brings a computer science background to bridge AI methods with materials science and metallurgy.