Scholar
Patrizio Pelliccione
Google Scholar ID: DmDWmy4AAAAJ
Director of the CS area and Prof. in Software Engineering at Gran Sasso Science Institute (GSSI)
Citations & Impact
Citations
3,743
H-index
35
i10-index
97
Publications
20
Co-authors
182
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Developed self-adaptive field testing, BSN testing, and autonomous vehicle testing techniques
- Created anomaly detection approaches and evaluation frameworks for autonomous systems
- Conducted empirical industrial studies on motivations, challenges, and risks of adopting self-adaptation in practice
- Initiated the Exosoul project to engineer trustworthy systems aligned with human values (safety, fairness, ethics, privacy)
- Pioneered the discipline of robotic software engineering for service robots, focusing on safety, software variability, runtime verification, and field-based testing
Research Experience
- Director of the Computer Science area at Gran Sasso Science Institute (GSSI)
- Professor in Computer Science and Software Engineering at GSSI
- Adjunct Professor at University of Bergen, Department of Physics and Technology
- Associate member of Gran Sasso Tech, a non-profit academia-industry collaboration organization
- Member of the government council of the EX EMERGE automotive excellence research center
- Former Associate Professor at University of L’Aquila and Chalmers | University of Gothenburg
- Former Visiting Professor at Charles University and Assistant Professor at University of L’Aquila
- Held research positions at University of Paris Diderot, Swinburne University, ISTI-CNR, INRIA, University of Luxembourg, and Kansas State University
Background
- Professor, consultant, and software engineer in Software Engineering and Computer Science
- Research spans both solution-oriented and knowledge-oriented software engineering
- Extensive experience in national (Italian, Swedish, Luxembourgish) and EU projects across multiple countries
- Active in the research community with global industry collaborations
- Core research areas: autonomous/self-adaptive/smart systems, engineering digital systems for humanity, and robotic software engineering
