معرفی
Biagio Simonetti is an Associate Professor in Statistics (SECS-S/01) at the Department of Law, Economics, Management and Quantitative Methods (DEMM) of the University of Sannio, Italy. He has been serving in this role since 2015, following a progression from Researcher since 2006. His academic journey began with a PhD in Computational Statistics from the University of Naples Federico II in 2003.
His research interests center on applied statistics, particularly in multivariate analysis, correspondence analysis, fuzzy systems, cluster analysis, and ordinal data modeling. His work extends into interdisciplinary domains such as healthcare economics, customer satisfaction, tourism, and financial markets. He has applied statistical techniques to evaluate obesity’s impact on healthcare costs, model doctor-patient communication, and analyze cultural perceptions of food.
The trend in his recent publications reflects a strong focus on fuzzy logic, big data applications, and robust statistical methods in socio-economic and health contexts. His work often involves international collaboration, particularly with researchers in Spain, Australia, India, and Turkey.
- Certificate of Appreciation for collaboration with Hanoi University (Vietnam), 2014
Simonetti has participated in numerous research projects, including European TEMPUS and Jean Monnet programs, and has coordinated EU-funded research on grapevine virology and applied statistics education. He has served on the editorial boards of journals such as the Journal of Reliability and Statistical Studies and Electronic Journal of Applied Statistical Analysis. He has also been actively involved in organizing and serving on scientific committees for international conferences like DYSES, MTISD, and Agrostat.
He has collaborated extensively with institutions abroad, including the University of Moncton (Canada), University of Western Sydney (Australia), and Universitat Rovira i Virgili (Spain), and has held research visits in Denmark and Barbados. His academic service includes participation in PhD programs and doctoral examination committees, particularly in biostatistics and socio-economic systems.
