{"id":6,"date":"2015-04-08T11:11:35","date_gmt":"2015-04-08T09:11:35","guid":{"rendered":"http:\/\/people.unipi.it\/cloner\/?page_id=6"},"modified":"2026-09-29T13:11:02","modified_gmt":"2026-09-29T11:11:02","slug":"curriculum","status":"publish","type":"page","link":"https:\/\/people.unipi.it\/mauro_tucci\/curriculum\/","title":{"rendered":"Curriculum"},"content":{"rendered":"<h1>Curriculum Vitae<\/h1>\n<h2>Academic Position<\/h2>\n<p>I am <strong>Full Professor of Electrical Engineering<\/strong> at the Department of Energy, Systems, Territory and Constructions Engineering (DESTEC), University of Pisa.<\/p>\n<p>My research activity is focused on <strong>Artificial Intelligence, Machine Learning and Computational Intelligence for engineering applications<\/strong>, with particular emphasis on energy systems, condition monitoring and predictive maintenance, computational electromagnetics, surrogate modelling, physics-informed machine learning and engineering optimization.<\/p>\n<p>I lead the <strong>Artificial Intelligence and Computational Intelligence for Engineering Research Group<\/strong>, involving PhD students, research fellows, postdoctoral researchers and academic collaborators.<\/p>\n<h2>Education and Academic Career<\/h2>\n<p>I received the M.Sc. degree in <strong>Automation Engineering<\/strong> from the University of Pisa in 2004 and the Ph.D. degree in <strong>Applied Electromagnetism<\/strong> from the University of Pisa in 2008.<\/p>\n<p>During my doctoral studies, my research focused on Machine Learning and Computational Intelligence methods applied to electromagnetic systems and Power Line Communications, including neural-network methods, Self-Organizing Maps, signal analysis and transmission-line modelling.<\/p>\n<p>In 2010, I joined the University of Pisa as a researcher. I subsequently continued my academic career at the Department of Energy, Systems, Territory and Constructions Engineering (DESTEC), where I am currently Full Professor of Electrical Engineering.<\/p>\n<h2>Research Activity<\/h2>\n<p>My research lies at the intersection of <strong>Artificial Intelligence, Machine Learning and engineering<\/strong>.<\/p>\n<p>My earlier research activity included neural networks, Computational Intelligence, Power Line Communications, signal analysis, electromagnetic modelling and evolutionary optimization.<\/p>\n<p>My current research focuses mainly on:<\/p>\n<ul>\n<li>Artificial Intelligence and Machine Learning for engineering applications;<\/li>\n<li>photovoltaic, wind and hydroelectric power forecasting;<\/li>\n<li>electrical load and energy-system forecasting;<\/li>\n<li>condition monitoring, diagnostics and predictive maintenance;<\/li>\n<li>Deep Learning and surrogate modelling;<\/li>\n<li>Physics-Informed Neural Networks and hybrid physics\/data-driven models;<\/li>\n<li>computational electromagnetics;<\/li>\n<li>inverse problems and source identification;<\/li>\n<li>model-order reduction;<\/li>\n<li>optimization of electrical and electromagnetic systems.<\/li>\n<\/ul>\n<p>Recent research also includes applications of Artificial Intelligence to biomedical electromagnetic problems, such as transcranial magnetic stimulation, and to signal-based localization and estimation problems.<\/p>\n<p>A common theme of my research is the integration of <strong>data-driven methods, physical models and engineering knowledge<\/strong> in order to develop accurate, computationally efficient and practically applicable methods for complex engineering problems.<\/p>\n<p>For further details, see the <strong>Research Group<\/strong> page.<\/p>\n<h2>Research Leadership and Collaborations<\/h2>\n<p>I supervise and coordinate the research activities of PhD students, research fellows, postdoctoral researchers and research collaborators.<\/p>\n<p>I have acted as <strong>scientific coordinator and research leader<\/strong> in academic and industrial research projects and collaborations.<\/p>\n<p>My research has included collaborations with companies and organizations in the energy, infrastructure and railway sectors, particularly on renewable-energy forecasting, monitoring of energy systems, condition monitoring, predictive maintenance and railway diagnostics.<\/p>\n<p>I am interested in academic and industrial collaborations in the areas of Artificial Intelligence, Computational Intelligence and data-driven engineering.<\/p>\n<h2>Teaching<\/h2>\n<p>My teaching activities at the University of Pisa include courses in:<\/p>\n<ul>\n<li><strong>Circuit Theory \/ Electrical Engineering<\/strong><\/li>\n<li><strong>Artificial Intelligence for Diagnostics in Electrical Engineering<\/strong><\/li>\n<li>diagnostics and monitoring of electrical systems and devices<\/li>\n<\/ul>\n<p>I also teach <strong>Circuit Theory \/ Electrical Engineering at the Italian Naval Academy in Livorno<\/strong>.<\/p>\n<p>I supervise Bachelor&#8217;s and Master&#8217;s theses, PhD students and research activities in Artificial Intelligence, electrical engineering, energy systems and computational modelling.<\/p>\n<h2>Scientific Publications<\/h2>\n<p>I am author or co-author of <strong>more than 150 scientific papers<\/strong> published in international peer-reviewed journals and conference proceedings.<\/p>\n<p>My publications cover topics including Artificial Intelligence and Machine Learning, energy forecasting, condition monitoring, computational electromagnetics, Power Line Communications, optimization and engineering applications of Computational Intelligence.<\/p>\n<p>I am also co-author of the chapter <strong>\u201cChannel Characterization\u201d<\/strong> in the book <em>Power Line Communications: Principles, Standards and Applications from Multimedia to Smart Grid<\/em>, 2nd Edition, Wiley.<\/p>\n<p>An updated list of publications is available on the <strong>Publications<\/strong> page and on <strong>Google Scholar<\/strong>.<\/p>\n<h2>Professional and Editorial Activities<\/h2>\n<p>I am an <strong>IEEE Senior Member<\/strong>.<\/p>\n<p>I serve as an <strong>Associate Editor of IEEE Access<\/strong> and have participated in the Technical Program Committees and organization of international scientific conferences.<\/p>\n<h2>Awards<\/h2>\n<p>I received the <strong>University of Pisa Young Researcher Award<\/strong> in 2011 and 2013.<\/p>\n<h2>Research Opportunities<\/h2>\n<p>Students and researchers interested in the following topics are welcome to contact me regarding Master&#8217;s theses, PhD research, visiting activities and research collaborations:<\/p>\n<ul>\n<li>Artificial Intelligence and Machine Learning for engineering;<\/li>\n<li>renewable-energy and power forecasting;<\/li>\n<li>condition monitoring and predictive maintenance;<\/li>\n<li>physics-informed and hybrid AI models;<\/li>\n<li>surrogate modelling and scientific Machine Learning;<\/li>\n<li>computational electromagnetics;<\/li>\n<li>inverse problems;<\/li>\n<li>engineering optimization.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Curriculum Vitae Academic Position I am Full Professor of Electrical Engineering at the Department of Energy, Systems, Territory and Constructions&hellip;<\/p>\n<p><a class=\"btn btn-dark btn-sm unipi-read-more-link\" href=\"https:\/\/people.unipi.it\/mauro_tucci\/curriculum\/\">Leggi tutto&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-6","page","type-page","status-publish","hentry"],"acf":[],"featured_image_src":null,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Curriculum - Prof. 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