Dev Conference by Neo4j
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Session Track: Graphs
Session Time:
Session description
The popularity of System-Theoretic Accident Model and Process (STAMP) is increasing among both industrial and academic worlds, representing a powerful alternative to managing modern complex systems. However, a limitation arises when applying STAMP to large systems, as reading related STAMP schemes becomes difficult. The speakers of this session will present a solution to study these complicated STAMP models. The presented approach translates every STAMP scheme into a knowledge graph, enhancing its readability and the possibilities for analysis. A case study related to a big energy company will be presented to show the effectiveness of the proposed solution. Other authors: Silvia Maria Ansaldi - s.ansaldi@inail.it Patrizia Agnello - p.agnello@inail.it
Post Doctoral Researcher, Sapienza Università di Roma
He participated to the Double Degree program in collaboration with Sapienza University of Rome and Central University of Venezuela obtaining his BSc in Mechanical Engineering and his MSc in Mechanical Engineering focused on the Management of Production Processes and Industrial Systems. He obtained the Ph.D. title in January 2024, and he is currently working as post-doctoral researcher in the Industrial Management research team of the Department of Mechanical and Aerospace Engineering in Sapienza University of Rome. His research interests include modelling and analysis of complex industrial systems; resilience and reliability engineering; business intelligence and machine learning analysis.
Tenure-Track Assistant Professor, Sapienza Università di Roma
Riccardo Patriarca wants to manage risk. From making a pilot's cockpit safer during an emergency to minimizing adverse events on a process plant, he's studying ways to make things safer when interactions between humans and machines go awry. He's worked with organizations like INAIL, EUROCONTROL, and Australian airline QANTAS.
Researcher, Sapienza Università di Roma
Researcher on industrial systems and safety
PhD Student, Sapienza Università di Roma
He received the B.Sc. degree in mechanical engineering and the M.Sc. degree in mechanical engineering with a specialization in industrial production. He is currently pursuing the Ph.D. degree in industrial and management engineering at University of Rome "La Sapienza", Italy. He is also a former Contract Researcher at the Department of Mechanical and Aerospace Engineering, Sapienza University of Rome. His current research interests include systems theory applications on complex systems’ resilience and reliability through the use of simulation tools and AI techniques.
