Sede ufficiale: VIA G. CARUSO, 16, 56122 PISA
Email: francesco.marcelloni@unipi.it
Telefono: 050 2217678
Sito web: http://www2.ing.unipi.it/~a008716/
Profilo
Ruolo:
Professore Ordinario
Struttura: Dipartimento di Ingegneria dell'Informazione
Settore scientifico-disciplinare: Sistemi di Elaborazione delle Informazioni IINF-05/A
Cariche
- Membro del Consiglio di Amministrazione - Consiglio D'amministrazione
FRANCESCO MARCELLONI received the Laurea degree in Electronics Engineering and the Ph.D. degree in Computer Engineering from the University of Pisa in 1991 and 1996, respectively. He is currently a full professor at the Department of Information Engineering of the University of Pisa. He has co-founded the Computational Intelligence Group at the Department of Information Engineering of the University of Pisa in 2002. Further, he is the founder and coordinator of the IT2PAO laboratory, jointly managed by the University of Pisa and the LogObject AG (Switzerland) company. He has been a member of the Academic Senate of the University of Pisa from 2012 to 2016 and Vice-Rector for International Cooperation and Relations of the University of Pisa from 2016 to 2022. During this period, among the various initiatives, he has promoted and coordinated the opening of the branch of the University of Pisa at Tashkent (Uzbekistan) and the membership of the University of Pisa to the European Alliance Circle U.. Further, he has activated the Visiting Fellow program and re-designed the Foundation Course program.
His main research interests include federated learning, data mining for big data, multi-objective evolutionary algorithms, genetic fuzzy systems, fuzzy clustering algorithms, pattern recognition, signal analysis, mobile information systems, and data compression and aggregation in wireless sensor networks. He has co-edited three volumes, four journal special issues, and is (co-)author of a book and of more than 240 papers in international journals, books and conference proceedings. Recently, he has received the 2021 IEEE Transactions on Fuzzy Systems Outstanding Paper award and the 2022 IEEE Computational Intelligence Magazine Outstanding Paper award. He is listed among the top 2% scientists in the world in a global list released by the prestigious Stanford University.
He has been TPC co-chair, general co-chair and tutorial chair of some international conferences and has held invited talks in a number of events. Currently, he serves as associate editor of IEEE Transactions on Fuzzy Systems (IEEE), Information Sciences (Elsevier) and Soft Computing (Springer), and is on the editorial board of a number of other international journals. He has coordinated various research projects funded by both public and private entities.
His main research interests include federated learning, data mining for big data, multi-objective evolutionary algorithms, genetic fuzzy systems, fuzzy clustering algorithms, pattern recognition, signal analysis, mobile information systems, and data compression and aggregation in wireless sensor networks. He has co-edited three volumes, four journal special issues, and is (co-)author of a book and of more than 240 papers in international journals, books and conference proceedings. Recently, he has received the 2021 IEEE Transactions on Fuzzy Systems Outstanding Paper award and the 2022 IEEE Computational Intelligence Magazine Outstanding Paper award. He is listed among the top 2% scientists in the world in a global list released by the prestigious Stanford University.
He has been TPC co-chair, general co-chair and tutorial chair of some international conferences and has held invited talks in a number of events. Currently, he serves as associate editor of IEEE Transactions on Fuzzy Systems (IEEE), Information Sciences (Elsevier) and Soft Computing (Springer), and is on the editorial board of a number of other international journals. He has coordinated various research projects funded by both public and private entities.
Didattica
Attività didattica
Incarichi di responsabilità didattica di moduli/insegnamenti
- Artificial intelligence for cybersecurity (cod. 931II) per Laurea Magistrale in Cybersecurity
- Advanced data amining and machine learning (modulo dell'insegnamento data mining and machine learning cod. 878ii) per Laurea Magistrale in Artificial intelligence and data engineering
Insegnamenti condivisi/mutuati:- Bioinspired computational methods (cod. 705II) - Laurea Magistrale in Bionics engineering
- Fundamentals of data mining and machine learning (cod. 1093I) - Laurea Magistrale in Banca, finanza aziendale e mercati finanziari
- Artificial intelligence i (cod. 1106I) - Laurea Magistrale in Biotechnologies and applied artificial intelligence for health
- Fundamentals of data mining and machine learning (modulo dell'insegnamento data mining and machine learning cod. 878ii) per Laurea Magistrale in Artificial intelligence and data engineering
Insegnamenti condivisi/mutuati:- Bioinspired computational methods (cod. 705II) - Laurea Magistrale in Bionics engineering
- Fundamentals of data mining and machine learning (cod. 1093I) - Laurea Magistrale in Banca, finanza aziendale e mercati finanziari
- Artificial intelligence i (cod. 1106I) - Laurea Magistrale in Biotechnologies and applied artificial intelligence for health
- Meet - gestione dei big data (cod. 1066I) per Laurea Magistrale Ciclo Unico 6 anni in Medicina e chirurgia
Ricerca
Pubblicazioni
- Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees (Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A. - 2025 - 1.1 Articolo in rivista)
- Finding Beauty in Mobile EEG When Visiting Art Exhibitions (Palmieri, Maurizio; Avvenuti, Marco; Callara, ALEJANDRO LUIS; Marcelloni, Francesco; Vecchio, Alessio - 2024 - 4.1 Contributo in Atti di convegno)
- XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images (Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Miglionico, Giustino; Renda, Alessandro; Schiavo, Alessio - 2024 - 4.1 Contributo in Atti di convegno)
- Deep Learning and Multi-Objective Evolutionary Fuzzy Classifiers: A Comparative Analysis for Brain Tumor Classification in MRI Images (Miglionico, Giustino Claudio; Ducange, Pietro; Marcelloni, Francesco; Pedrycz, Witold - 2024 - 4.1 Contributo in Atti di convegno)
- Continuous Monitoring of Body Shaming Actions in Social Networks (Ducange, Pietro; Fazzolari, Michela; Marcelloni, Francesco; Marino, Martina; Matrella, Roberta - 2024 - 4.1 Contributo in Atti di convegno)
- Performance Evaluation of YOLOv5 on Edge Devices for Personal Protective Equipment Detection (Miglionico, G. C.; Ducange, P.; Marcelloni, F.; Vallati, C.; Di Rienzo, F. - 2024 - 4.1 Contributo in Atti di convegno)
- On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data (Schiavo, Alessio; Marcelloni, Francesco; Ducange, Pietro; Renda, Alessandro; Ruffini, Fabrizio; Dani, Renzo - 2024 - 1.1 Articolo in rivista)
- Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers (Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro - 2024 - 4.1 Contributo in Atti di convegno)
- Federated c-means and Fuzzy c-means Clustering Algorithms for Horizontally and Vertically Partitioned Data (Corcuera Barcena, J. L.; Marcelloni, F.; Renda, A.; Bechini, A.; Ducange, P. - 2024 - 1.1 Articolo in rivista)
- Unsupervised Learning of Speckle Removal from Real Ultrasound Acquisitions without Clean Data (Basile, M.; Gibiino, F.; Cavazza, J.; Semplici, P.; Cocco, M.; Marcelloni, F.; Bechini, A.; Vanello, N. - 2024 - 4.1 Contributo in Atti di convegno)