Massimo Brignone is an Associate Professor at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN), University of Genoa. His academic role includes teaching courses such as Complementi di Circuiti , Elettrotecnica , and Sistemi Elettrici per l'Energia in the Electrical Engineering, Maritime Science and Technology, and Naval Engineering degree programs. His research focuses on lightning performance analysis, electromagnetic field reconstruction, and machine learning applications in power systems. Recent research trends include: Integration of machine learning for lightning location and overvoltage prediction Analysis of HVDC offshore return electrode designs Electromagnetic compatibility in transmission lines Deep learning-based lightning detection systems Contact: massimo.brignone@unige.it | Availability: By appointment via email or TEAMS
Mansueto Rossi is an Associate Professor at the University of Genoa within the Department of Naval, Electrical, Electronics and Telecommunications Engineering - DITEN . His academic affiliation centers on electrical engineering and power systems research. Research interests include: Power system stability and lightning protection Decentralized energy storage systems Real-time co-simulation modeling Smart building energy management with electric vehicle integration Glocal energy transition strategies Recent publications demonstrate expertise in power system simulations using PSCAD-EMTDC, frequency control architectures, and global energy transition frameworks. He teaches Elettrotecnica (Electrical Engineering) courses for both Mechanical Engineering and Engineering Technology for Strategy and Security programs.
Renato Procopio is a full-time Professor at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN), University of Genoa , Italy. His work focuses on power systems, lightning protection, renewable energy integration, and machine learning applications in energy systems. Current research includes lightning-induced overvoltage analysis , optimal inertia allocation for transmission networks, and vehicle-to-home energy systems Recent publications highlight applications of machine learning in lightning location, photovoltaic microgrid optimization , and energy storage virtual partitioning . His work addresses grid stability in renewable-heavy networks and soil conductivity impacts on distribution line performance. He is organizing the 2025 AEIT HVDC International Conference in Genoa, Italy.
Sara RUBINETTI is an Adjunct Professor at the Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice. She holds a PhD in Physics and Astrophysics (University of Turin, 2018) and a Master’s in Physics (University of Turin, 2013). Her research focuses on climate modeling, atmospheric processes, and marine circulation dynamics, with applications to coastal management and planetary science. Education: PhD in Physics and Astrophysics (2018), University of Turino Master’s in Physics (2013), University of Turino Visiting PhD Student at ETH Zurich (2016) Research Interests: Lightning detection in Earth and Venus atmospheres Numerical simulations of coastal marine circulation (FESOM-C model) Climate variability analysis using spectral methods Solar activity reconstruction from cosmogenic isotopes Recent Research Focus: Her 2023 publications emphasize climate change impacts on coastal systems (Venice Lagoon), Mediterranean Sea dynamics, and extreme hydrological events. She also explores Venus atmospheric processes via radar modeling. Awards: Abilitazione Scientifica Nazionale (II Fascia) in Geophysics (2023–2034) Teaching: Climate Modelling and Monitoring (PhD and Master’s courses) Collaborations: Projects with CNR-ISAC, Alfred Wegener Institute (AWI), and CORILA consortium on climate adaptation, marine protected areas, and paleoenvironmental reconstructions.
Seyedmahmood Hosseiniimani is a Fixed-term Assistant Professor and Researcher in the Department of Energy (DENERG) at Politecnico di Torino, Italy. He is actively engaged in research and teaching in the domains of electrical energy systems, data science, and smart grid technologies. He contributes to multiple academic programs as a course collaborator and serves on several course councils. Position: Fixed-term Assistant Professor Institution: Politecnico di Torino Department: Department of Energy (DENERG) Research Focus: Data Science, Machine Learning, Electrical Energy Systems, Microgrids, Power Economics His research interests lie at the intersection of data analytics and energy systems, with a strong emphasis on applying machine learning and statistical methods to electricity markets, demand forecasting, and microgrid optimization. He explores topics such as price clustering, inter-zonal congestion, pandemic impacts on energy demand, and demand response in smart grids. The trend in his recent publications shows a consistent focus on data-driven analysis of electricity markets, particularly in the Italian context. His work combines technical modeling with economic and policy implications, targeting journals and conferences in power systems, energy informatics, and sustainable infrastructure. He frequently employs regression models, clustering algorithms, and systematic reviews to extract insights from complex energy datasets. He is a Guest Editor for the journal ENERGIES (2025–present), contributing to scholarly discourse in renewable and sustainable energy. While no formal scientific awards are listed, his editorial role reflects recognition in the academic community. Hosseiniimani supervises PhD student Erminia Consiglio in the field of Electrical, Electronic, and Communications Engineering. His teaching responsibilities include courses such as Smart Grids, Electrical Systems for Buildings, and Fundamentals of Energy Conversion, Transport, and Storage across various engineering programs. He collaborates with senior researchers like Prof. Ettore Bompard and contributes to interdisciplinary research projects aligned with UN SDGs 7, 9, 11, and 12. He is involved in research initiatives related to energy communities, prosumer integration, and data analytics for policy support, working within a dynamic research environment at DENERG focused on sustainable and intelligent energy systems.
