Patrizia Scandurra
Papers
8
Total Citations
208
H-Index
5
About
Patrizia Scandurra is a leading researcher at the intersection of software engineering, robotics, and self-adaptive systems. Her work focuses on making complex, autonomous systems—from service robots to cyber-physical systems—more reliable, transparent, and explainable. She is best known for her foundational contributions to component-based robotic engineering, most notably her 2009 tutorial (148 citations) that introduced CBSE principles to robotics, establishing a structured approach to designing modular, reusable robotic software. More recently, Scandurra has pioneered the field of explainable self-adaptation, developing frameworks like XSA (2022, 22 citations) and a conceptual framework for explainability requirements (2023, 11 citations) that address the critical challenge of trust in black-box AI-driven systems. Her research also spans formal methods for coordinating heterogeneous services and runtime verification for resilient cyber-physical systems. By bridging formal modeling, software architecture, and human-centric explainability, Scandurra’s work is shaping how next-generation autonomous systems can be both powerful and trustworthy—a vital contribution as AI takes on greater decision-making roles in society.
Research Focus
Key Achievements
Top Papers
- 1Component-based robotic engineering (Part I) [Tutorial]148 citations · 2009
- 2XSA: eXplainable Self-Adaptation22 citations · 2022
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- 5Runtime Equilibrium Verification for Resilient Cyber-Physical Systems8 citations · 2021
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- 8Architecting Explainable Service Robots3 citations · 2023