RAISE – Research Lab in Artificial Intelligence for Systems Engineering

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 Lab, 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 are continuously been exploited in research and industry projects at both National and International levels in areas as diverse as Digital, Industry and Space; Health; Climate, Energy and Mobility; Civil Security for Society; Food, Bioeconomy Natural Resources, Agriculture and Environment.

Scientific partnerships

Sought collaborations

Work with us

Research areas

AI for cyber-physical systems

AI-guided simulation-based design and verification of cyber-physical systems, particularly in aerospace, critical infrastructures, transportation, logistics.

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

The RAISE Lab is continuously involved in research and industry projects at both National and International levels.

Endotrain Doctoral Training Network

Training interdisciplinary experts in digital endocrine medicine (Doctoral Network, EC Marie Skłodowska-Curie Actions, European Commission)

SIATE

A Decision Support System based on AI for the personalization of the hemodialysis therapy (Consulting activity, Italian PNRR fund)

IDRA

VHF/UHF Communication System based on Swarms of CubeSats (Consulting activity, Italian PNRR fund)

Rome Technopole – Flagship 6

Artificial intelligence, virtual reality, and digital twin for advanced engineering and aerospace (Consulting activity, Italian PNRR fund)

SDFS

Satellite Driven Fire Simulator (Italy Lazio Region POR FESR 2014-2020, Aerospace)

SCAPR

Advanced System for Countering Unmanned Aerial Vehicles / Sistema per il Contrasto di Aeromobili a Pilotaggio Remoto (Italy Lazio Region POR FESR 2014-2020, Aerospace and security)

All projects

Open positions

Ph.D. positions in computer science at the RAISE Lab

Within the Ph.D. programme in computer science at Sapienza. Topics: Simulation-based automated synthesis and verification of cyber-physical systems and human physiology models, bioinformatics, hybrid model-based artificial intelligence & machine learning.

[Closed] Ph.D. position on AI–based virtual twins for monitoring, disease classification, and decision support in clinical practice within the Endotrain EC Doctoral Consortium

Artificial intelligence for digital endocrinology to combat adrenal diseases

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Credits

Financial market analysis with Alpha Vantage API

RAISE Lab is grateful to Alpha Vantage for conceding us the use of the Alpha Vantage API for teaching and research.