Prof. Mauro Tucci
Full Professor of Electrical Engineering
Department of Energy, Systems, Territory and Constructions Engineering (DESTEC)
University of Pisa
My research focuses on Artificial Intelligence, Machine Learning and Computational Intelligence for engineering applications, with particular emphasis on energy systems, condition monitoring and predictive maintenance, computational electromagnetics, surrogate modelling and engineering optimization.
I lead the Artificial Intelligence and Computational Intelligence for Engineering Research Group at the University of Pisa, involving PhD students, research fellows, postdoctoral researchers and academic collaborators.
My research combines data-driven Artificial Intelligence with engineering knowledge, physical models and numerical simulation, with the aim of developing accurate, computationally efficient and practically applicable methods for complex engineering problems.
Research
My current research activities are mainly focused on:
- Artificial Intelligence and Machine Learning for engineering
- Energy forecasting and renewable energy systems
- Condition monitoring, diagnostics and predictive maintenance
- Deep Learning and surrogate modelling
- Physics-Informed Machine Learning
- Computational electromagnetics and inverse problems
- Optimization of electrical and electromagnetic systems
Recent research includes Machine Learning methods for photovoltaic, wind and hydroelectric power forecasting; predictive maintenance and condition monitoring of energy and railway systems; Deep Learning surrogate models and Physics-Informed Neural Networks for electromagnetic problems; and AI-assisted modelling and optimization of biomedical electromagnetic applications.
→ Research Group and current research activities
Research Group
I supervise and coordinate research activities involving PhD students, research fellows, postdoctoral researchers and collaborators working on Artificial Intelligence and Computational Intelligence applied to engineering.
I also coordinate academic and industrial research activities and have collaborated with major industrial partners, particularly in the energy and railway sectors, on forecasting, monitoring and diagnostic applications.
Teaching
At the University of Pisa, I currently teach courses in:
- Diagnostics and Monitoring of Electrical Systems and Devices
- Circuit Theory (Elettrotecnica)
I also teach Circuit Theory at the Italian Naval Academy in Livorno.
My teaching interests include Artificial Intelligence for engineering, electrical engineering, diagnostics, monitoring and data-driven modelling.
Academic Profile
I received my degree in Automation Engineering and my PhD in Applied Electromagnetism from the University of Pisa.
My research activity initially focused on Machine Learning, Computational Intelligence, Power Line Communications and electromagnetic modelling. Over the years, it has expanded towards Artificial Intelligence for energy systems, forecasting, predictive maintenance, computational electromagnetics, Physics-Informed Machine Learning and surrogate modelling.
I am an IEEE Senior Member and serve as an Associate Editor of IEEE Access. I am author or co-author of more than 150 scientific papers published in international journals and conference proceedings.
Research collaborations
I am interested in collaborations with universities, research institutions and industrial partners on topics involving:
- Artificial Intelligence and Machine Learning for engineering;
- renewable-energy and energy-system forecasting;
- condition monitoring and predictive maintenance;
- physics-informed and hybrid AI models;
- surrogate modelling and scientific Machine Learning;
- computational electromagnetics;
- engineering design and optimization.
Students and researchers interested in PhD projects, Master’s theses, research collaborations or visiting research activities are welcome to contact me.
Contact
Prof. Mauro Tucci
Full Professor
Department of Energy, Systems, Territory and Constructions Engineering – DESTEC
University of Pisa
Email: mauro.tucci@unipi.it