Mauritius Guide

Biography

The professor. Maurizio Guida was born in Naples on January 3, 1948. He graduated with honors in Mechanical Engineering in 1974 at the University of Naples "Federico II". He was appointed in November 2001 by the Faculty of Engineering of the University of Salerno as an ordinary professor for the disciplinary disciplinary sector SECS-S / 02 "Statistics for Experimental and Technological Research". He joins the Department of Electronic Engineering and Computer Engineering (DIEII) of that Faculty and is a member of the Doctoral School of the Doctoral Program in Information Engineering. It comes from the Motors Institute of the National Research Council, where he entered as a researcher in 1975 and where he was Research Manager and Head of the Department of Statistics and Reliability. Starting from the second half of the eighties and until the University of Salerno's call he has held annual courses as a contract professor at the University of Naples "Federico II", at the University of Sannio and at the Second University of Naples. He has also done didactic activities in numerous specialization courses and seminars for public and private organizations. The main research interests concern the study of applied statistical methodologies in engineering, with particular regard to the issues of reliability estimation in a frequentistic and Bayesian context. In this field, he has published numerous papers on major international journals such as IEEE Transactions on Reliability Engineering and System Safety, Journal of Quality Technology, IIE Transactions on Reliability, IEEE Transactions on Aerospace and Electronic Systems, Communications in Statistics - Theory and Methods, Applied Stochastic Models and Data Analysis, Technometrics. He has also presented communications to numerous international conferences as an invited lecturer. He acts as a referee for major international journals in the field of Reliability. IEEE member, ISI.

Research Interest

The main research interests concern the study of applied statistical methodologies in engineering, with particular regard to the issues of reliability estimation in a frequentistic and Bayesian context.