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 e Adjunct Associate Professor presso lo Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology della Temple University, Philadelphia (PA, USA). Titolare dei corsi: Well-Being Technologies, Fondamenti di Informatica, Machine Learning e Computational Intelligence presso l'UniversitÓ di Genova.

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 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), 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).
 Membro del Berkeley Initiative on Soft Computing (BISC), senior member of IEEE, Co-Chair of the Special Interest Group on Bioinformatics della International Neural Network Society, Vice-Chair of the Italian Chapter of the IEEE Computational Intelligence Society, e Chair della Task Force on Neural Networks on Bioinformatics della IEEE Computational Intelligence 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 Deaprtment of Informatics, Bioingengering, Robotics and Systems Engineering (DIBRIS) of the University of Genova and Adjunct Associate Professor at Sbarro Institute for Cancer Research and  Molecular Medicine, Center, Center for Biotechnology of Temple University - Philadelphia (PA, USA).
Lecturer of the courses on Well-Being Technologies, Computer Science Foundations, Machine Learning and Computational Intelligence at the University of Genoa.
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. Author of more than 200 scientific papers in Clustering, Machine Learning, Neural Networks, Fuzzy Systems 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), the CIBB - International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (2004, 2005, 2006, 2008, 2009, 2010, 2012) and the Courses of the International School on Neural Networks "E.R. Caianiello" on Ensemble Methods for Learning Machines (Vietri, 2002) and on Computational Intelligence Methods for Data Analysis in Oncology Bioinformatics (Vietri, 2010).
 Member of the Berkeley Initiative on Soft Computing (BISC), Senior member of IEEE, Co-Chair of the Special Interest Group on Bioinformatics of the International Neural Network Society, Vice-Chair of the Italian Chapter of the IEEE Computational Intelligence Society, and Chair of the Task Force on Neural Networks on Bioinformatics of the IEEE Computational Intelligence 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) financed 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 NOV 2016 by francesco.masulli@unige.it