RAISE 
AI for cyber-physical systems
AI-guided simulation-based design and verification of cyber-physical systems.
RAISE
Research lab in Artificial Intelligence for Systems Engineering
Formerly MCLab, the Model Checking Lab
The Research lab in Artificial Intelligence for Systems Engineering (RAISE, formerly MCLab) develops methods and software based on AI and digital twins for simulation-based verification, validation, and synthesis of mission- and safety-critical intelligent systems.
Our general-purpose software tools are employed in areas as diverse as aerospace, critical infrastructures, transportation, medicine and smart grids.
Our methods and software have been exploited in research projects in Digital, Industry and Space; Health; Climate, Energy and Mobility; Civil Security for Society; Food, Bioeconomy Natural Resources, Agriculture and Environment.
Research areas
AI for healthcare and in silico clinical trials
AI-based methods and software to support In Silico Clinical Trials (ISCT) and decision making in clinical settings.
AI for smart grids
AI-based methods and software for smart grid optimisation and verification.
Latest projects
IDRA
VHF/UHF Communication System based on Swarms of CubeSats
SIATE
A Decision Support System based on AI for the personalization of the hemodialysis therapy
Rome Technopole – Flagship 6
Artificial intelligence, virtual reality, and digital twin for advanced engineering and aerospace
SDFS
Satellite Driven Fire Simulator
SCAPR
Sistema per il Contrasto di Aeromobili a Pilotaggio Remoto
PAEON
Model Driven Computation of Treatments for Infertility Related Endocrinological Diseases
Credits
Financial market analysis with Alpha Vantage API
RAISE is grateful to Alpha Vantage for conceding us the use of the Alpha Vantage API for teaching and research.