Afroditi Fouka holds a Diploma degree from the School of Electrical and Computer Engineering of the National Technical University of Athens (Greece). Her Diploma Thesis is about real time anomaly detection with LSTM networks and Bayesian inference in the Industry 4.0 domain. Her research interests include machine learning, deep learning and prescriptive analytics with applications in the prediction of equipment health state, smart manufacturing and predictive maintenance.