SPECIAL SESSION #2

Probability and Mathematical Statistics for Living Environment and Metrology

ORGANIZED BY

Iuliano Antonella Iuliano

Antonella Iuliano

University of Basilicata, Italy

Liò Pietro Liò

Pietro Liò

University of Cambridge, UK

Di Crescenzo Antonio Di Crescenzo

Antonio Di Crescenzo

University of Salerno, Italy

ABSTRACT

Probability Theory and Statistics provide powerful tools for the development of new mathematical models to describe real life phenomena. In particular, the use of metrology refers to living environment plays an important role in many applicative fields to understand and identify sources of variability and to minimise their influence. The aim of this section is to cover the lack of probabilistic and machine learning approaches in this area. In fact, one of the most significant advantages using probabilistic models is to gain a comprehensive view of the uncertainty associated with a measurement result. A special attention will be give to results related to the quality of the living environment as a direct impact on human health and well-being.

ABOUT THE ORGANIZERS

Antonella Iuliano, is an Assistant Professor (RTD-B) in Probability and Mathematical Statistics at the Department of Mathematics, Computer Science, and Economics of the University of Basilicata, Italy. She has completed her PhD in Mathematics in 2012 at the Department of Mathematics of the University of Salerno, Italy. Then, she worked as a post-doctoral Researcher at the IAC-CNR in Naples, Italy, visiting researcher at the University of Cambridge, UK, and Senior Mathematical-Statistician in the Bioinformatics Core at the Telethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Italy. She carried out a research activity mainly focused on Probability Theory, Statistics and Computational Biology. Currently, her research is focused on the development of stochastic processes based on finite velocity random motions and statistical models for high-dimensional data with applications to biology, medicine and environment. She is involved in different projects and collaborations in the area of life science. Several scientific collaborations were successfully carried on and published in international journals and conference proceedings.

Pietro Liò, is Full Professor at the Department of Computer Science and Technology of the University of Cambridge and he is a member of the Artificial Intelligence Group. He is member of the Cambridge Centre for AI in Medicine. His research interest focuses on developing Artificial Intelligence and Computational Biology models to understand diseases complexity and address personalised and precision medicine. Current focus is on Graph Neural Network modeling. He has a MA from Cambridge, a PhD in Complex Systems and Non Linear Dynamics (School of Informatics, dept of Engineering of the University of Firenze, Italy) and a PhD in (Theoretical) Genetics (University of Pavia, Italy).
He is also member of the committee of MPhil in Computational Biology (Stakeholder Group for the CCBI) , steering committee of Cambridge BIG data, VPH-UK (Virtual Physiological Human), Fellow and member of the Council of Clare Hall College, and of Ellis, the European Lab for Learning & Intelligent Systems. Finally, he is member of the Academia Europaea. He is listed in www.topitalianscientists.org/Top_italian_scientists_VIA-Academy.aspx. He is member of Complaint Officer/Examination Review Committee (Cambridge University) and reviewer of 4 MPhils (Newcastle University), steering committee VPH-UK. He is the author of more than 400 scientific publications for international journals and conference proceedings.

Antonio Di Crescenzo, is Full Professor at the Department of Mathematics of the University of Salerno, where he is also a member of the Advisory Board of the Graduate School in Mathematics. From September 2020 he is the head of the PRISMA Group (Probability In Statistics, Mathematics and Applications) of the Italian Mathematical Union. He is the head of the Research Unit of the University of Salerno for the PRIN-2017 project "Stochastic Models for Complex Systems" (2019-2023) funded by MIUR. His research interests include stochastic modeling, theory and simulation of stochastic processes with applications to biomathematics, queueing systems, reliability theory, aging notions and information measures. He held various research periods abroad, mainly in Spain, Japan, USA. He is the author of about 100 publications, appearing mainly in international journals and Proceedings of International Meetings. He co-organized several International Meetings and participated in more than 60 international scientific meetings, specially in applications of probability, in biomathematics and biocybernetics. He is member of the Editorial Board of various international journals.

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