Machine Learning and Artificial Intelligence for Predictive Analytics
Ph.D. in Nuclear Engineering
Marco Rigamonti is the leading developer of machine learning and artificial intelligence techniques for predictive maintenance solutions and applications. He received the PhD cum laude in nuclear engineering from Politecnico di Milano, Milan, Italy, in 2017. In 2015 he worked at the development of PHM systems for aeronautical applications at the NASA Ames Research Center, Mountain View, CA, USA. He is the coauthor of four papers published on international journals.