Daniele Codetta Raiteri is an associate professor at the Department of Science and Technological Innovation (DISIT), University of Eastern Piedmont (UPO), Italy. He holds a Ph.D. in Computer Science from the University of Turin, Italy. His research interests include reliability, dependability, risk analysis, fault tree analysis, Petri nets, and Bayesian Networks.
Prof. Lavinia Egidi is an associate professor at this University and a member of the Computer Science Institute of the Department of Sciences and Technological Innovation. She has a Master's Degree in Mathematics from the University of Rome La Sapienza and a PhD in Computer Science from the Universities of Turin and Milan. In her career, she has worked on lambda calculus, the complexity of logical theories, network security, knowledge representation, and approximated pattern matching.
Prof. Giuliana Franceschinis is a full professor at the University of Piemonte Orientale, Alessandria, Italy. She obtained her PhD from the Università di Torino, and in the same year she spent six months as a visiting scholar at the Computer Science Department of the University of California in Los Angeles. She is a member of the CNIT Research Unit at the Università del Piemonte Orientale. She is working on formalisms and solution techniques for performance and dependability evaluation of systems, contributing in particular to the development of the Stochastic Well-Formed Nets (SWNs) and Generalised Stochastic Petri Net (GSPN) formalisms and related efficient analysis techniques and tools.
Prof. Luigi Portinale is a full professor of Computer Science at Computer Science Institute
DiSIT, the University of Piemonte Orientale "Amedeo Avogadro" and Director of the Interdepartmental Center on Artificial Intelligence AI@UPO. He is also the founder and CTO of INFERENDO, an innovative start-up, spin-off of the University of Piemonte Orientale. He gained
a PhD in Computer Science from the University of Torino and Milano Consortium
in 1994. He is also the head of the Probabilistic Graphical Models
Research Group (ProGraM) and a member of the Laboratory for Intelligent
Systems (LIS). His research interests include Artificial Intelligence (AI), and Machine and Deep Learning, with applications to dependability and reliability analysis, medical informatics, and recommender systems.
