Sede ufficiale: LARGO LUCIO LAZZARINO, 56122 PISA
Email: mauro.tucci@unipi.it
Telefono: 050 2217348
Sito web: https://people.unipi.it/mauro_tucci/
Profilo
Struttura: Dipartimento di Ingegneria dell'Energia, dei Sistemi, del Territorio e delle Costruzioni
Settore scientifico-disciplinare: Elettrotecnica IIET-01/A
His research activity is focused on **Artificial Intelligence, Machine Learning and Computational Intelligence for engineering applications**. His main current research interests include energy and renewable-power forecasting, condition monitoring and predictive maintenance, computational electromagnetics, Deep Learning and surrogate modelling, Physics-Informed Machine Learning, inverse problems, and the optimization of electrical and electromagnetic systems.
He leads a research group working on Artificial Intelligence and Computational Intelligence for Engineering and supervises Ph.D. students, research fellows, postdoctoral researchers and research collaborators. He has served as scientific coordinator and research leader in academic and industrial research projects, including collaborations with major companies in the energy, infrastructure and railway sectors.
His current teaching activities include **Circuit Theory / Electrical Engineering** and **Artificial Intelligence for Diagnostics in Electrical Engineering**. He also has long-standing teaching activities in Electrical Engineering at the Italian Naval Academy in Livorno.
Mauro Tucci is an **IEEE Senior Member** and serves as an **Associate Editor of IEEE Access**. He has participated in the Technical Program Committees of numerous international conferences and is author or co-author of **more than 150 scientific papers** published in international journals and conference proceedings.
Didattica
Attività didattica
Incarichi di responsabilità didattica di moduli/insegnamenti
- Elettrotecnica (cod. 781II) per Laurea in Scienze marittime e navali
- Intelligenza artificiale per la diagnostica in ingegneria elettrica (cod. 955II) per Laurea Magistrale in Ingegneria elettrica
- Elettrotecnica (cod. 1337I) per Laurea in Ingegneria navale
Insegnamenti condivisi/mutuati:- Elettrotecnica - an (cod. 1323I) - Laurea in Ingegneria civile ambientale e edile
Ricevimento
Luogo: Ufficio personale, Piano 4, DESTEC, polo A
Orario: Ingegneria Biomedica: martedì dalle 10:30 alle 12:30
Ricerca
Pubblicazioni
- Fast Model Order Reduction-Based Approach for Transcranial Magnetic Stimulation With Varying Coil Positioning (Codecasa, Lorenzo; Zhu, Xiaojie; Di Rienzo, Luca; Barmada, Sami; Dodge, Shayan; Fontana, Nunzia; Tucci, Mauro; Pichiecchio, Anna; Cosentino, Giuseppe; Evelina Mognaschi, Maria - 2026 - 1.1 Articolo in rivista)
- A Deep Learning Model for Lightning Location and Peak Current Estimation from Induced Overvoltages (Nicora, Martino; Procopio, Renato; Brignone, Massimo; Dodge, Shayan; Barmada, Sami; Tucci, Mauro - 2025 - 4.1 Contributo in Atti di convegno)
- Prototype Training with Dual Pseudo-Inverse and Optimized Hidden Activations (Tucci, Mauro - 2025 - 5.12 Altro)
- Exploring Data Availability, Time Horizons and Ensemble Learning for Regional Photovoltaic Power Forecasting (Taheri, N.; Piazzi, A.; Tucci, M. - 2025 - 1.1 Articolo in rivista)
- Enhancing residential load forecasting accuracy through dynamic feature selection and ensemble machine learning models: A real-world scenario in Southern Finland (Taheri, N.; Karttunen, L.; Jouttijarvi, S.; Piazzi, A.; Tucci, M.; Miettunen, K. - 2025 - 1.1 Articolo in rivista)
- Machine Learning for Wind Power Forecasting Under Data Scarcity: Comparing Spatial Feature Configurations and Selection Strategies (Thomopulos, Dimitri; Piazzi, Antonio; Raugi, Marco; Tucci, Mauro - 2025 - 4.1 Contributo in Atti di convegno)
- A deep learning based lightning location system (Dodge, S.; Nicora, M.; Barmada, S.; Brignone, M.; Procopio, R.; Tucci, M. - 2025 - 1.1 Articolo in rivista)
- Neural Network Based Procedure for Lightning Localization (Barmada, S.; Tucci, M.; Brignone, M.; Nicora, M.; Procopio, R. - 2024 - 4.1 Contributo in Atti di convegno)
- Monitoring Hydropower Plants with LSTM-Based Time-series Forecasting (Hajimohammadali, Fatemeh; Tucci, Mauro; Fontana, Nunzia; Crisostomi, Emanuele - 2024 - 4.1 Contributo in Atti di convegno)
- Synthesis of Boundary Conditions in Magnetics: a Neural Network Approach (Di Barba, P.; Mognaschi, M. E.; Barmada, S.; Fontana, N.; Tucci, M. - 2024 - 4.1 Contributo in Atti di convegno)
- Hybrid Boundary Element - Physics Informed Neural Network Formulation for Electromagnetics Problems (Barmada, S.; Tucci, M.; Formisano, A.; Di Barba, P.; Mognaschi, M. E. - 2024 - 4.1 Contributo in Atti di convegno)
- Analyzing the Impact of Training Data Availability on Machine Learning Models Accuracy for Regional Photovoltaic Production Forecast (Taheri, N.; Piazzi, A.; Tucci, M. - 2024 - 4.1 Contributo in Atti di convegno)
- Enhancing Regional Wind Power Forecasting through Advanced Machine-Learning and Feature-Selection Techniques (Taheri, N.; Tucci, M. - 2024 - 1.1 Articolo in rivista)
- A Novel Hybrid Boundary Element - Physics Informed Neural Network Method for Numerical Solutions in Electromagnetics (Barmada, S.; Dodge, S.; Tucci, M.; Formisano, A.; Di Barba, P.; Evelina Mognaschi, M. - 2024 - 1.1 Articolo in rivista)
- Enhanced prediction of transformers vibrations under complex operating conditions (Rao, Shaowei; Yang, Shiyou; Tucci, Mauro; Marracci, Mirko; Barmada, Sami - 2024 - 1.1 Articolo in rivista)