Riccardo Pinciroli
Papers
2
Total Citations
10
H-Index
2
About
Riccardo Pinciroli is a researcher at the forefront of performance engineering for complex, dynamic systems. His work focuses on the modeling and analysis of Cyber-Physical Systems (CPS) and Collective Adaptive Systems (CAS), where the interplay between software, hardware, and a changing physical environment creates unique challenges. Pinciroli’s key contribution is developing rigorous, model-based techniques to predict and guarantee non-functional properties like performance and reliability. His 2021 paper on "Model-based Performance Analysis for Architecting Cyber-Physical Dynamic Spaces" (6 citations) addresses the critical problem of dynamic physical spaces—such as robot paths blocked by obstacles—and provides formal methods to ensure system dependability. He further advances the field by comparing quantitative modeling abstractions for CAS, as seen in his 2023 work (4 citations), which helps researchers select the right tools for analyzing emergent system behavior. With a growing citation record, Pinciroli is establishing himself as a key voice in making adaptive, autonomous systems both predictable and trustworthy, a vital step for their deployment in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Comparing perfomance abstractions for collective adaptive systems4 citations · 2023