Antonino Laudani obtained his Ph.D. in Electronic Engineering from the University of Reggio Calabria in February 2003. He has been an Associate Professor of Electrical Science at the Department of Engineering of Roma Tre University since March 2018. Since October 2023, he has been an Associate Professor of Electrical Science at DIEEI of the University of Catania. His scientific work was conducted on the typical topics of electrical engineering and was mainly focused on photovoltaic devices and system modeling, the development of circuits and algorithms (also based on soft-computing techniques) for the prediction and processing of signals and the solution of inverse problems and optimization, and aspects related to the study of methods for computing electromagnetic fields and their application in analysis and simulation of electromagnetic and electronic devices. He has been a member of the International Compumag Society (ICS) since 2001, the IEEE Society since 2009, the American Association for the Advancement of Science (AAAS) since 2014, and the International Solar Energy Society (ISES) since 2016. The most significant results of his work were presented at major international conferences in the sector, such as CEFC, COMPUMAG, ELECTROSOFT, IVEC, SCEE, CEM, OIPE, ISEF, etc., sponsored by the IEEE, and appeared in qualified international journals (Solar Energy, IEEE Transactions on Magnetics, IEEE Transactions on Electron Devices and others).
Francesco Riganti-Fulginei received an Electronic Engineering degree from the University of Roma Tre, Rome, Italy, in 2000, and a Ph.D. degree in biomedical electronics, electromagnetism, and telecommunications from the University of Roma Tre, Rome, Italy, in 2007. He is a Full Professor at the Department of Industrial, Electronic, and Mechanical Engineering (DIIEM), Roma Tre University (Rome, Italy), where he teaches and directs research in non-linear optimization and inverse problems at the department of industrial, electronic, and mechanical engineering. His research interests include artificial intelligence, non-linear optimization, and inverse problems applied to complex systems, in particular power electronics, electromagnetic devices, and renewable energy.
