Machine Learning and AI for predictive maintenance
Ph.D. in Mathematical Models and Methods in Engineering
Francesco Cannarile is the leading developer of advanced machine learning and signal processing techniques for predictive maintenance solutions and applications. He received the Executive PhD in mathematical models and methods in engineering from Politecnico di Milano, Milan, Italy, in 2019. He is the coauthor of seven papers published on international journals.