Research Interests
Open to PhD applications in areas such as
- Embedded numerical optimisation
- Model predictive control of uncertain systems
- Learning-based and data-driven control
- Massively parallelisable algorithms for large-scale optimisation problems and applications of the above in emerging and future technologies such as; Safe context-aware collaborative robotics, Energy distribution management in microgrids with high penetration of renewables
- Autonomous ground and aerial vehicles (co-existence of driverless and conventional vehicles)
- Advanced manufacturing
Public outreach & key achievements
- Developer of - a popular embedded optimisation solver that has enabled the execution of model predictive control on fast dynamical systems such as quadcopters for collision-free navigation.
Research students
| PhD title | GPU-accelerated model predictive control for autonomous heavy equipment, Â鶹´«Ã½ |
| Country | Northern Ireland |
| PhD title | Parallel methods for solving stochastic optimal control problems: control of drinking water networks, IMT Institute for Advanced Studies Lucca, |
| Country | Italy |
| PhD title | Stochastic model predictive control of nonlinear and uncertain systems, IMT Institute for Advanced Studies Lucca |
| Country | Italy |
Alumni: Where are they now
| PhD title | "Parallel methods for solving stochastic optimal control problems: control of drinking water networks", IMT Institute for Advanced Studies Lucca, |
| Country | Italy |
| Current Position | Data Scientist at Enervalis, Belgium |
| PhD title | "Stochastic model predictive control of nonlinear and uncertain systems", IMT Institute for Advanced Studies Lucca |
| Country | Italy |
| Current Position | Research Fellow at CONACYT |