Exhibitors 2021



Data Analytics: il Master per lavorare nel mondo dell'Intelligenza Artificiale e del Machine Learning

Data Analytics: il Master per lavorare nel mondo dell'Intelligenza Artificiale e del Machine Learning

Are you interested in the world of Data Analytics and Machine Learning? Do you want to acquire new skills in social, financial and scientific data analysis? Do you want to solve data analysis problems, create and modify software and other applications for AI and Machine Learning? Come and visit us in order to discover the new Master Data Analytics of Roma Tre University.


Data Analytics: il Master per lavorare nel mondo dell'Intelligenza Artificiale e del Machine Learning

Stefano Maria Mari, Luciano Teresi, Roberto Maieli, Antonio Budano

Stefano Maria Mari is a Full Professor of Experimental Physics in the Department of Mathematics and Physics at the University Roma Tre, Italy; he has a Ph.D. in Physics. During his professional development he worked also at the Bonn University, at the DESY Research Center (Hamburg) and at the Cern Research Center (Geneva, CH). He is chair of the IT Division in the Department of Mathematics and Physics and head of the Computing and Data Management for different International Collaborations devoted to research in the Physics field. At Roma Tre he has taught different undergraduate data analysis courses. His research focuses on different topics, including data analysis and data management, statistical analysis, and Monte Carlo simulations. Statistical inference for complex data structures is also one of his research interests.


Luciano Teresi holds a MD in Aerospace Engineering, and a PhD in Theoretical and Applied Mechanics from Sapienza, Universit di Roma, Italy.
He is now Prof. of Mathematical Physics at Dept. of Mathematics and Physics, Roma Tre University, Italy, where he teaches the graduate courses Linear Algebra and Learning From Data, Finite Elements Methods, and Applications of Mathematical Physics. His main research activity is in mathematical modeling and numerical simulations of Active Soft Matter and Multiphysics problems. He is an expert in numerical computation and simulations, and is the author of 100+ publications in international journals.


Roberto Maieli is Professor of Mathematical Logic (s.s.d. MAT/01) at the Department of Mathematics and Physics (DMF) of Roma Tre University with a qualification as Full Professor (Abilitazione Scientifica Nazionale a Professore Ordinario nel settore 01/A1 Logica Matematica e Matematiche Complementari).


RM has previously been Assistant Professor (Ricercatore) of Computer Science (s.s.d. INF/01) at the DMF (2004-2017), Research Fellow (Assegnista di Ricerca) at the Computer Science Department of University of Roma La Sapienza (2001-2004) and Post-doc Researcher at the Institut de Mathematiques CNRS de Marseille (2000-2001).


Antonio Budano is a technologist who has been working at INFN since 2005 where he is responsible for the management of IT services and the computing cluster of the Roma Tre section. His research activity is focused on the technological study in high performance computing architectures (HPC) with particular attention to distributed systems and their scalability, whose natural evolution is towards Cloud technologies. He has participated in several national and international projects dedicated to the creation of distributed systems with Grid and Cloud technologies.


Back
 
Data updated on 2025-01-26 - 1.40.18 am