Partners
ProSafe brings together 6 top-level academic institutions and 4 relevant industrial partners representing both the plant/process operators and industrial risk solution providers to undertake novel research and training at this unique interface of transforming science into applications.
Participation
Participation mode: Beneficiary
Country: Denmark
Dept./Division/Laboratory: Department of Chemical and Biochemical Engineering, PROSYS
Contact person: Prof. Gürkan Sin
Area of expertise & competencies in the project
- Project coordination & management
- Process Systems Engineering
- Monte Carlo Simulation
- Machine Learning/AI
- Process design/Process control/Process Operations
Participation mode: Beneficiary
Country: Spain
Dept./Division/Laboratory: Chemical Engineering Department, Centre for Technological Risk Studies (CERTEC)
Contact person: Prof. Eulàlia Planas & Prof. Elsa Pastor
Country: Spain
Dept./Division/Laboratory: Chemical Engineering Department, Centre for Technological Risk Studies (CERTEC)
Contact person: Prof. Eulàlia Planas & Prof. Elsa Pastor
Area of expertise & competencies in the project
- Industrial Major Accidents Modelling
- Computational Fluid Dynamics
- Emergency Management
- Quantitative Risk Analysis
Participation mode: Beneficiary
Country: Norway
Dept./Division/Laboratory: Chemical Engineering Department, Process Systems Engineering
Contact person: Prof. Johannes Jäschke & Prof. Idelfonso Nogueira
Country: Norway
Dept./Division/Laboratory: Chemical Engineering Department, Process Systems Engineering
Contact person: Prof. Johannes Jäschke & Prof. Idelfonso Nogueira
Area of expertise & competencies in the project:
- Applied artificial intelligence
- Digital twins
- Hybrid modelling
- Optimization and process control
- Process system engineering
Participation mode: Beneficiary
Country: Spain
Dept./Division/Laboratory: Risk analysis
Contact person: Dr. Miguel Muñoz
Country: Spain
Dept./Division/Laboratory: Risk analysis
Contact person: Dr. Miguel Muñoz
Area of expertise & competencies in the project
- Risk analysis and management
- Risk identification and quantitative analysis
- Emerging planning
Participation mode: Beneficiary
Country: Turkey
Dept./Division/Laboratory: Department of Chemical and Biological Engineering
Contact person: Prof. Can Erkey
Country: Turkey
Dept./Division/Laboratory: Department of Chemical and Biological Engineering
Contact person: Prof. Can Erkey
Area of expertise & competencies in the project
- Artificial intelligence
- Physics-informed Machine Learning
- Stochastic programming
- Renewable energy systems
- Advanced process controls
Participation mode: Associated partner
Country: Denmark
Dept./Division/Laboratory: Risk Analysis
Contact person: Dr. Claus Myllerup & Dr. Denis Kirchhübel
Country: Denmark
Dept./Division/Laboratory: Risk Analysis
Contact person: Dr. Claus Myllerup & Dr. Denis Kirchhübel
Area of expertise & competencies in the project
- Functional modeling
- Development of digital decision tools for control room operation
- Optimized maintenance
- Finding root causes
Participation mode: Associated partner
Country: UK
Dept./Division/Laboratory: Process Safety
Contact person: Steve Pearson
Country: UK
Dept./Division/Laboratory: Process Safety
Contact person: Steve Pearson
Area of expertise & competencies in the project
- Hazard and risk assessment methods
- Process safety and management
- Regulatory framework
Participation mode: Associated partner
Country: Spain
Dept./Division/Laboratory: Strategic projects and innovation
Contact person: Dr. Carles Rua
Country: Spain
Dept./Division/Laboratory: Strategic projects and innovation
Contact person: Dr. Carles Rua
Area of expertise & competencies in the project
- Hazard
Participation mode: Associated partner
Country: USA
Dept./Division/Laboratory: Department of Chemical Engineering, Complex Resilient Intelligent Systems Laboratory - CRIS
Contact person: Prof. Venkat Venkatasubramania
Country: USA
Dept./Division/Laboratory: Department of Chemical Engineering, Complex Resilient Intelligent Systems Laboratory - CRIS
Contact person: Prof. Venkat Venkatasubramania
Area of expertise & competencies in the project
- Risk modelling, analysis, and process safety
- Applied AI to process safety
- AI-based control system for real-time operator advisory system
- Automated causal reasoning system for HAZOP
Participation mode: Associated partner
Country: UK
Dept./Division/Laboratory: Department of Computing
Contact person: Prof. Alessandra Russo
Country: UK
Dept./Division/Laboratory: Department of Computing
Contact person: Prof. Alessandra Russo
Area of expertise & competencies in the project
- Knowledge-based engineering pioneered
- Applied symbolic machine learning systems
- Tools for analysis and evolution of software systems models