PhD in INDUSTRIAL ENGINEERING

email: GELFUSA@ING.UNIROMA2.IT
phone: +390672597210

Michela Gelfusa received her M. S. degree in Energetic and Nuclear Engineering and her Ph.D in Quantum Electronic and Plasma Physics from the University of Rome “Tor Vergata”. From 2012 she is a researcher at the University of Tor Vergata. She also received the Italian National Scientific Qualification as Associate Professor of Nuclear Engineering.
Her research interests have been mainly in the field of energetic (nuclear fusion) and environmental physics, involving both civil and military applications. In the framework of the collaboration between the University of Tor Vergata and the Joint European Torus (JET), the largest Tokamak in the world, she has been involved in various diagnostics, in particular polarimeter/interferometer, and in the development of advanced data analysis methods.
An essential ingredient in the collaboration with JET has been the application of symbolic regression via genetic programming to various physical problems of general interest for the Tokamak community. She has also worked on the application of artificial intelligence and machine learning to anomaly detection, with particular attention to disruptions. Recently her work has focused on physics informed machine learning for both off line and real time applications.
She is author of more than 210 papers published on International Journal and Conferences Proceedings and one Italian Patent. Her track record in the field of AI and machine learning includes not only papers on applications to nuclear fusion but also original developments published in some of the top level specialised journals in the field.