Teaching
The one thing that annoys student engineers more than the need to be proficient at programming is the need to work with statistical data. Yet good data analysis and clever coding are the skills that make great engineering.
Modules for 2024-25
PROGRAMMING FOR ENGINEERS 2
Module code: ENGG387
Role: Module Co-ordinator
PROGRAMMING FOR ENGINEERS 2
Module code: ENGG487
Role: Module Co-ordinator
RISK AND UNCERTAINTY: PROBABILITY THEORY
Module code: ENGG404
Role: Module Co-ordinator
Supervised Theses
- A Decision Support System for Economic Viability and Environmental Impact Assessment of Vertical Farms
- A possibilistic framework for interpreting ensemble predictions in weather forecasting and aggregate imperfect sources of information
- Developing a Low Carbon Future Through EdTech Tools
- Development of a risk ranking for offshore oil & gas production facilities
- From measurement and uncertainty fields to features: a statistical approach for model validation.
- Propagation of Epistemic Uncertainty Through Medical Diagnostic Algorithms
- The Importance of Risk and Uncertainty for Humane Algorithms
- Uncertainty quantification in fusion power plant design