Professor Konstantinos Gryllias is a mechanical engineering professor at KU Leuven, specialising in AI-based condition monitoring of rotating machinery. His research focuses on fault detection, diagnostics, and digital twins, combining signal processing, machine learning, and hybrid modelling. He leads projects in sectors such as manufacturing, energy, and transportation, and is affiliated with Leuven.AI and Flanders Make.

Skills and Expertise: Classification, Unsupervised Learning, Pattern Recognition, Machine Learning, Feature Extraction, Signal Processing, Structural Dynamics, Finite Element Analysis, Stress Analysis, Finite Element Modeling