Generative AI for Software Engineering
Leverage foundation models (LLMs) to automate software engineering tasks and advance AI-augmented development.
- Funded projects:
- FAIR – Future Artificial Intelligence Research, Spoke 6 Symbiotic AI, PNRR
- QualAI: Continuous Quality Improvement of AI-based Systems, PRIN 2022
MLOps and AI Engineering
Enable continuous deployment, quality assurance, and trustworthiness of ML models as part of scalable, maintainable AI-enabled systems, with particular focus on healthcare applications.
- Funded projects:
- QualAI: Continuous Quality Improvement of AI-based Systems, PRIN 2022
- DARE – Digital Lifelong Prevention, Spoke 1 Enabling Factors and Technologies for Digital Prevention, PNC.
- FAIR – Future Artificial Intelligence Research, Spoke 6 Symbiotic AI, PNRR
- SERICS: SEcurity and RIghts In the CyberSpace, Spoke 9 SuReCare: Secure Remote Healthcare for a Better Future, PNRR
Human Factors in Software Development
Understand and support developers’ emotional well-being, productivity, and collaboration through biometric sensing, behavioral data analysis, workplace studies, and social dynamics in online software communities.
- Funded projects:
- DARE – Digital Lifelong Prevention, Spoke 1 Enabling Factors and Technologies for Digital Prevention, PNC.
- FAIR – Future Artificial Intelligence Research, Spoke 6 Symbiotic AI, PNRR
Medical AI and Healthcare Robotics
Apply AI, software engineering, and robotics to healthcare challenges—from synthetic data generation and clinical AI deployment to robotic systems for safe hospital operations—while ensuring regulatory compliance for medical devices and AI systems.