I am a computational scientist (broad scientific computing and data science education) and I recently successfully defended my Ph.D. dissertation. During my Ph.D. work, I developed combinations of Bayesian Deep Learning and Graph Neural Networks for structural health assessment problems such as data-driven localization of damage and remaining useful life estimation.
Download my resumé.
Ph.D. in Machine Learning for SHM under Uncertainty, 2021
MSc Computational Science & Engineering, 2015
MSc in Civil Engineering, 2012
Aristotle University of Thessaloniki
Chair of Structural Mechanics and Monitoring. Research topics: