Daniela Briola
Papers
2
Total Citations
11
H-Index
2
About
Daniela Briola is a researcher at the intersection of artificial intelligence, software engineering, and multi-agent systems, with a particular focus on engineering reliable autonomous systems. Her key research areas include ontology-driven systems, natural language processing for industrial applications, and the integration of agents and robotics. Her most notable contribution is the "Ontologica" system, a forefront project developed in collaboration with the University of Genoa and Ansaldo STS, which exploits ontologies and natural language to enhance railway management—demonstrating how AI can solve real-world industrial challenges. This work, her most cited paper with 9 citations, exemplifies her ability to bridge theoretical research with practical engineering. Briola also plays a pivotal role in shaping emerging research directions, having co-organised the First Workshop on Agents and Robots for reliable Engineered Autonomy (AREA) in 2020, which fosters cross-disciplinary collaboration between multi-agent systems, robotics, and software engineering. Through her contributions, she is advancing the development of dependable autonomous systems that can operate safely in complex environments, making her work highly relevant for students and researchers interested in applied AI and trustworthy automation.
Research Focus
Key Achievements
Top Papers
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