Project Coordinator: Prof. Davide Barater – UniMore
Prof. Davide Barater- was born in Italy on August 13, 1983. He received the Master’s degree in Electronic Engineering in 2009 and the Ph.D. degree in Information Technology in 2014 from the University of Parma Italy. After the Ph.D., He was a research fellow at University of Parma, Italy and visiting researcher at the University of Kiel, DE in 2015.He is currently working as Assistant Professor at Department of Engineering Enzo Ferrari, University of Modena and Reggio, Italy. He was the co-coordinator of the European project “ALEA”, XVI clean sky call and coordinator of the project RAISE until He left University of Parma. His research area is focused on power electronics for renewable energy systems and motor drives, wide-bandgap devices applications. He acts as expert evaluator for the European Clean sky 2 programme and He is Associate Editor of the Journal IEEE Transactions on Industry Applications. He is author or coauthor of more than 50 international papers and holds one international patent.
Prof. Andrea Cavallini – UniBo
Prof. Andrea Cavallini – was born on 21/12/1963. On december 1990 he obtained the laurea degree in electrical engineering from the University of Bologna. From 1991 to 1994 he was a PhD student in electrical engineering at the Department of Electrical Engineering in the same University. He obtained the PhD in 1995. From 1995 to 1998 he was researcher at the Ferrara University. Since 1998 he is associate professor at the University of Bologna. He teaches the courses of “Reliability and Statistics for Electrical Systems”, “Maintenance and Diagnostics of Electrical Systems”. Andrea Cavallini works in the research fields relevant to endurance modeling and diagnostics of insulation systems. In particular, his research activity is focused, on one side, on the physics of partial discharge (PD) phenomena (physical/stochastic modeling of PD phenomena, effect of waveshape, frequency, positions of defects etc. on PD phenomena). On the other side, he is involved in research concerning PD identification in different types of apparatus (cables, rotating machines, transformers, GIS) with different types of insulation systems (polymeric, epoxy/mica, paper/oil, gas). PD source identification is carried out resorting to artificial intelligence and sognal processing techniques. Andrea Cavallini is the Italian representative in the SC D1 (Materials and Emerging Technologies) of the Cigrè and IEEE member. He cooperated/cooperates with prof. Gian Carlo Montanari to the development of standards and technical specifications: IEC 61934 TS, Electrical measurements of partial discharges during short risetime repetitive voltage impulses (convener prof. G. C. Montanari), IEC 60034-18-41 TS, Qualification and type tests for Type I electrical insulation systems used in rotating electrical machines when fed from voltage converters, IEC 60034-18-42 TS, Qualification and acceptance tests for partial discharge resistant electrical insulation systems (Type II) used in rotating electrical machines when fed from voltage converters, IEC 60034-27 TS Offline partial discharge measurements on the stator winding insulation of rotating machines, IEC 60034 NP Online partial discharge measurements on the stator winding insulation of rotating machines. He is co-founder of the University spin-off TechImp Spa.
Prof. Giovanni Franceschini – UniMore
Prof. Giovanni Franceschini – was born in Reggio Emilia, Italy, in 1960. He received the Master degree in Electronic Engineering from the University of Bologna, Bologna, Italy. From 1990 to 2018, he was with the Department of Information Engineering, University of Parma, Parma, Italy, where he was Full Professor of electric machines and drives, also holding the position of Vice Rector of the University of Parma, and before Head of the Department of Information Engineering. In 2018 he joined the Department of Engineering Enzo Ferrari at the University of Modena and Reggio, Italy, where he is currently Full Professor of electric machines and drives. His research interests include high-performance electric drives and diagnostic techniques for industrial electric system. He is the author of more than 150 technical papers. During his career he was the responsible individual of the University of Parma group of national and international grants.
Dr. Stefano Nuzzo – UniMore
Dr. Stefano Nuzzo – (M’18) received the B.Sc. and M.Sc. degrees in Electrical Engineering from the University of Pisa, Pisa, Italy, in 2011 and 2014, respectively. He received his Ph.D. degree in Electrical Engineering in 2018 from the University of Nottingham, Nottingham, U.K, where he is currently working as a Research Fellow within the Power Electronics, Machines and Control (PEMC) Group. Since January 2019, he is also a Research Fellow at the Department of Engineering “Enzo Ferrari” at University of Modena and Reggio, Modena, Italy. His research interests are the analysis, modelling and optimizations of electrical machines, with focus on salient-pole synchronous generators and brushless excitation systems for industrial power generation applications.
He is also involved in a number of diverse projects related to the more electric aircraft initiative and associated fields. Dr. Nuzzo is a Member of the IEEE Industrial Electronics Society (IES) and the IEEE Industry Applications Society (IAS). He constantly serves the scientific community as a reviewer for several journals and conferences.
Dr. Luca Lusuardi – UniBo
Dr. Luca Lusuardi – (MS’16) was born on 16 September 1991. In March 2016 he received the M.S. degree in energy and nuclear engineering from the University of Bologna (Italy), where is currently pursuing the Ph.D. degree in biomedical, electrical and systems engineering. In June 2017 he joined IEEE Dielectrics and Electrical Insulation Society. His research interests are diagnosis of insulation systems by partial discharge analysis, the study of the ageing mechanisms of rotating electrical machines and reliability of inverter-fed low voltage motors, especially in the aeronautical and automotive fields.