Open science and doctoral training for secure IoE
SAILING delivers interdisciplinary research outputs while training doctoral researchers in secure AI, digital twins, and smart energy systems.
Research pillars
- Digital twin architectures
- Secure and reliable AI
- Predictive energy optimization
- Fault diagnosis and resilience
Publications
Peer-reviewed papers and conference contributions will be listed here as they are released.
Open-source & Data
Data assets
Curated datasets for energy forecasting, fault detection, and digital twin validation.
Open-source policy
Software and data releases will follow open science principles and FAIR standards.
Software & Models
Digital twin toolkit
Modeling and simulation components for IoE assets and networks.
Secure AI toolbox
Robust ML pipelines with integrity, explainability, and adversarial defenses.
Deliverables
D1.1 Project handbook
Governance, ethics, and data management guidelines.
D2.1 Digital twin framework
Architecture, modeling strategies, and validation plan.
D3.1 Secure AI blueprint
Security-by-design principles for IoE AI systems.
Training Programme
Technical training
Advanced AI, digital twin engineering, and energy system modeling.
Transferable skills
Entrepreneurship, innovation management, science communication, and open science.