Theses with international collaborations:
Theses on risk and resilience assessment of complex systems and critical infrastructures:
Guided probabilistic risk assessment of complex systems using reinforcement learning optimization (with UCLA, USA)
Resilience assessment and management of power grids in response to extreme weather conditions (heat wave, storm, flood, wildfire, etc.) (with UCLA, USA)
Development of a neural network for Critical Heat Flux predictions (with CEA, France)
Real-Time Condition-Informed Safety Assessment of a Microreactor (with MIT, USA)
Inverse Uncertainty Quantification with Deep Learning Surrogate Models of Accident Scenarios in Nuclear Microreactors (with MIT, USA)
Development of a Digital Twin of a Nuclear Microreactor: on the Multi-fidelity
Uncertainty Quantification (with MIT, USA)
Advanced methods of dynamic risk assessment for energy systems (with Leibniz University of Hannover, Germany)
Safety analysis of nuclear power plants: quantification of the uncertainty in nuclear thermal-hydraulic codes based on heterogeneous experimental data (ATRIUM Consortium) (with CEA, France)
Data adequacy assessment in thermal-hydraulic experimental tests of Intermediate Break Loss of Coolant Accident (IBLOCA) (ATRIUM Consortium)
Advanced uncertainty quantification models for the prediction of critical/safety parameters in nuclear power systems by artificial intelligence (EGMUP Task force on AI/ML)
Interpretability and explainability of artificial intelligence models for the prediction of the critical/safety parameters in nuclear power systems (EGMUP Task force on AI/ML)
Theses on reliability assessment:
Development and implementation of Tools for the Availability and Reliability Assessment of the CERN Complex Technical Infrastructure Systems (with CERN, Switzerland)
Theses on Prognostics and Health Management for Predictive Maintenance:
Artificial Intelligence-Based Prescriptive Maintenance by Federated Learning (with CNR and CERN)
Development of State-of-Health Indicators for Researchable Batteries Using Deep-Transfer Learning Methods (with Ecole Polytechnique, France)
Deep Transfer Learning Methods for Prognostics and Health Management (PHM) of Batteries (with Tsinghua University, China)
Theses with industrial partners (with possibility of stage)
Theses on risk and resilience assessment of complex systems and critical infrastructures:
Electrical network resilience (with ARAMIX Srl, Italy)
Benchmark of dynamic methods for Probabilistic Safety Assessment of nuclear power plants (EDF, Paris)
Dynamic Probabilistic Safety Assessment (PSA) of Small Modular Reactors (SMRs): Reduced Order Modeling and Advanced Sampling (TRACTEBEL, Belgium)
System-Theoretic Accident Model and Processes (STAMP) for Probabilistic Safety Assessment (PSA) in Gen IV Reactor Technologies (TRACTEBEL, Belgium)
Automated System Logic Representation by P&I Digitalization (TRACTEBEL, Belgium)
Theses on reliability assessment:
Functional Reliability of Passive Safety Systems of Nuclear Power Plants (NPPs) Reduced Order Modeling and Advanced Sampling (TRACTEBEL, Belgium)
Theses on Prognostics and Health Management for Predictive Maintenance:
Analisi previsionale del possibile impatto dei cambiamenti climatici sull’efficienza tecnica e la resistenza strutturale degli impianti eolici e fotovoltaici (EDISON Spa) (con borsa di studio/ with scholarship)
Development of machine learning methods based on sensor data for maintenance optimization and failure analysis (Fluid-o-Tech)
Other:
Development of an Artificial Intelligence-based Virtual Meter Tool for Carbon Capture and Storage Applications (with ENI, Italy)
Deep reinforcement learning for the optimization of loading plans for NPPs (TRACTEBEL, Belgium)
Development of Explainable Multiphysics-Informed Machine Learning for the Prediction of Critical Parameters in Water-cooled Nuclear Reactors (TRACTEBEL, Belgium)
Theses internal at LASAR:
Theses on risk and resilience assessment of complex systems and critical infrastructures:
Advanced Sensitivity Analysis of Models of Groundwater Contaminant Transport in Scenarios of Climate Change
Large Language Models for Risk Assessment of Industrial Systems
Ecology network analysis methods for balancing efficiency and resilience of critical systems and infrastructures
Resilience of energy production plants exposed to Natural-Technological (Natech) scenarios of increasing frequency and severity in the climate change context
Methods for the evaluation and optimization of the resilience of systems, plants and infrastructures
Uncertainty quantification methods within the risk analysis of energy systems exposed to NaTech hazards and accident scenarios
Advanced methods for the risk assessment of industrial facilities and plants in the oil&gas and energy sectors
Climate change impact on the risk assessment of energy production plants
Enabling the Resilience of Integrated Energy Systems to Tsunami by Early Warning Hazard Nowcasting
Theses on Prognostics and Health Management for Predictive Maintenance:
Large Language Models for Maintenance Engineering with Applications to Energy Systems
Large Language Models for Reliability-Centered Maintenance of Energy Systems
Deep Learning Methods for Extracting Information from Text Documents in Prognostics and Health Management Applications
Development and implementation of diagnostic techniques for the classification of abnormal conditions in industrial plants using transparent rules
Physics-informed Neural Networks for Fault Prognostics of Equipment
Transfer Learning Methods for Reliability Predictions in Nuclear Power Systems
Development of eXplainable Artificial Intelligence (XAI) methods for time series analysis
Causality-Enhanced Artificial Intelligence for Explainable Predictive Maintenance in the Industry
Kolmogorov-Arnold Networks for Fault Diagnostics in Industrial Systems
Federated Learning Networks in Predictive Maintenance
Theses on Reliability Assessment
Graph Neural Networks for Predictions in Critical Infrastructures