The following are proposals fo research projects available to all interested students.
- Advanced technologies for real-time modelling of seismic risk and earthquake early warning applications
- Automatic detection, classification and prediction of collective behaviors in network dynamical systems: Application to epileptic seizures
- Causal relationships within the firearm ecosystem
- Data driven modelling, numerical analysis and control of epidemic dynamics using machine learning
- Data-driven modelling, analysis and design of crowd dynamics: From agent-based modelling to the construction, numerical analysis and control of macroscopic models with physics-informed machine learning
- Destabilizing synchronization in networks with multiple interaction layers
- Direct damage-based post-disaster assessment of reinforced concrete buildings using Lidar data
- Disaster inside a disaster: modeling the occurrence and effects of major seismic sequences during epidemic crises using multi-risk analysis and complex multi-agent systems
- Engineering of airport operations risk analysis
- Evolutionary updated physics-based shaking prediction through the quantitative description of seismic source and its epistemic uncertainty
- From the slope to the basin: models for landslide analysis and prediction in a multi-hazard/multi risk framework
- Hierarchies of thought and action: Combining reinforcement learning and control for multi-agent systems
- Hydrogeological and volcanic risks. Protection from catastrophic granular flows
- Impact of extreme climate events on power grids
- Improvement of earthquake forecasting modeling and implications in terms of seismic hazard and risk
- Multi-hazard risk analysis of industrial facilities considering high-consequence low-probability events
- Multi-risk analysis of supply chain networks
- Multiscale environmental variability: a systemic approach combining multilayer networks and multifractality
- Predicting the next shortage: Early warning signals to study critical transitions and resilience in complex networks
- Predictive maintenance models for degrading units in the presence of multiple sources of variability
- Risk Analysis of H2 and CH4/H2 mixture release from high pressure pipeline
- Rock physics: Downscaling of mesoscale medium properties from seismic images
- Solving the multi-agent herding problem through a combination of control theoretic, analytical, and computational tools
- Stochastic models for environmental investment decisions – [TBD]
- Strategies for the safeguard of pipeline networks exposed to natural hazards
- System dynamics for the risk assessment in the chemical industry
- Towards a complete assessment of the volcanic (multi)hazard and risk at global scale and for single volcanoes
- Towards a paradigm shift in probabilistic seismic hazard analysis
- Towards multi-agent learning and data-driven decision-making: Bridging the gap between RL, control theory and statistics