Curriculum (Italiano)

Francesco Masulli e' Professore Straordinario di Informatica (INF01) presso il Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS) dell'UniversitÓ di Genova, Adjunct Professor presso lo Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology della Temple University, Philadelphia (PA, USA) e Associate Teacher presso la University of Zagreb (Croatia). Titolare dei corsi: Well-Being Technologies, Fondamenti di Informatica, Machine Learning e Computational Intelligence presso l'UniversitÓ di Genova e  in Advanced Transport Management Systems presso la University of Zagreb (Croatia).
Ha ricevuto il 2008 Pattern Recognition Society Award per l'articolo: M. Filippone, F. Camastra, F. Masulli, S. Rovetta, "A survey of kernel and spectral methods for clustering", Pattern Recognition, 41, 1 pp. 176-190, 2008.
Autore di pi¨ di 200 pubblicazioni scientifiche in Clustering, Apprendimento Automatico, Reti Neurali, Sistemi Sfumati, Well-Being Technologies e Bioinformatica. Editore Associato delle riviste "Intelligent Automation and Soft Computing", "International Journal of Knowledge Engineering and Soft Data Paradigms", "International Journal on Intelligent Decision Technologies", "Source Code for Biology and Medicine". Ha curato vari numeri speciali di riviste scientifiche internazionali e sette libri del settore stampati da case editrici internazionali.
Chair di varie conferenze e scuole internazionali tra cui il WILF - International Workshop in Fuzzy Logic and Applications (1995, 1999, 2001, 2003, 2007, 2013, 2018), il CIBB - International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (2004, 2005, 2006, 2008, 2009, 2010, 2012) e i Course of the International School on Neural Networks "E.R. Caianiello" su Ensemble Methods for Learning Machines (Vietri, 2002) e su Computational Intelligence Methods for Data Analysis in Oncology Bioinformatics (Vietri, 2010) e della 2nd International Summer School on Deep Learning - DeepLearn 2018 (Genova-Italy, 2018).
Presidente dell'Italian Chapter of the IEEE Computational Intelligence Society, Senior member dell'IEEE, Co-Chair of the Special Interest Group on Bioinformatics of the International Neural Network Society,
Responsabile scientifico di vari programmi di ricerca tra i quali "MIE, Mobilita' Intelligente Ecosostenibile" (2014-2016), "PLUG-IN Platform for Urban Mobility with Heterogeneous Sources Information Management" (2013-2015), "IANUS - Integrated AssistaNce on Unguarded Systems" (2013-2015), "Remote monitoring for health, safety, quality of life and assisted independence of older and fragile people and fragile" (2012-2015), "Predictive algorithms for MicroRNA target genes in cancer" (2010) finanziati dal European Regional Development Fund, MIUR, Regione Liguria e fondazioni. Membro del Network of Excellence on "BIOPATTERN Computational Intelligence for Biopattern analysis in Support of eHealthcare" (EU FP6) e del progetto "ICT for EU-India Cross-Cultural Dissemination"(2003 -2006) e della Cost Action IC1406, "cHiPSet - High-Performance Modelling and Simulation for Big Data Applications" (2015-2019) dove partecipa al Traffic Modelling group del WP4.


Curriculum (English)

Francesco Masulli is a Full Professor of Computer Science at the Department of Informatics, Bioingengering, Robotics and Systems Engineering (DIBRIS) of the University of Genova, Adjunct Professor at Sbarro Institute for Cancer Research and  Molecular Medicine, Center, Center for Biotechnology of Temple University - Philadelphia (PA, USA), and Associate Teacher at the University of Zagreb (Croatia). Lecturer of the courses on Well-Being Technologies, Foundation of Computer Science, Machine Learning, Data Analytics and Computational Intelligence at the University of Genoa, and on Advanced Transport Management Systems at the University of Zagreb (Croatia).
Recipient of the 2008 Pattern Recognition Society Award for the paper: M. Filippone, F. Camastra, F. Masulli, S. Rovetta, "A survey of kernel and spectral methods for clustering", Pattern Recognition, 41, 1 pp. 176-190, 2008 (759 citations on 02/08/2018). Author of more than 200 scientific papers in Clustering, Machine Learning, Neural Networks, Fuzzy Systems, Well-Being Technologies and Bioinformatics. Associate Editor of the journals "Intelligent Automation and Soft Computing", "International Journal of Knowledge Engineering and Soft Data Paradigms", "International Journal on Intelligent Decision Technologies", "Source Code for Biology and Medicine". Guest editor of various special issues of international journals and editor of seven books with international publishers.
Chair of many international conferences and schools, including the WILF International Workshop in Fuzzy Logic and Applications (1995, 1999, 2001, 2003, 2007, 2013, 2018), the CIBB - International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (2004, 2005, 2006, 2008, 2009, 2010, 2012), the Courses of the International School on Neural Networks "E.R. Caianiello" on Ensemble Methods for Learning Machines (Vietri-Italy, 2002) and on Computational Intelligence Methods for Data Analysis in Oncology Bioinformatics (Vietri, 2010) and the 2nd International Summer School on Deep Learning - DeepLearn 2018 (Genova-Italy, 2018).
Chair of the Italian Chapter of the IEEE Computational Intelligence Society, Senior member of IEEE, Co-Chair of the Special Interest Group on Bioinformatics of the International Neural Network Society,
Principal investigator of many research programs including "MIE, Mobilita' Intelligente Ecosostenibile" (2014-2016), "PLUG-IN Platform for Urban Mobility with Heterogeneous Sources Information Management" (2013-2015), "IANUS - Integrated AssistaNce on Unguarded Systems" (2013-2015), "Remote monitoring for health, safety, quality of life and assisted independence of older and fragile people and fragile" (2012-2015), "Predictive algorithms for MicroRNA target genes in cancer" (2010) funded by the European Regional Development Fund, national and local governments and foundations. He was member of the Network of Excellence on "BIOPATTERN Computational Intelligence for Biopattern analysis in Support of eHealthcare" (EU FP6), of the project "ICT for EU-India Cross-Cultural Dissemination"(2003 -2006), and of the Cost Action IC1406, "cHiPSet - High-Performance Modelling and Simulation for Big Data Applications" (2015-2019) where he is involved in the Traffic Modelling group of WP4.

 
Last update on 5 Aug 2018 by francesco.masulli@unige.it