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

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Public outreach & key achievements

• Developer of https://alphaville.github.io/optimization-engine/ - 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, Queen's University Belfast
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

Discover More

• Faculty of Engineering and Physical Science
• School of Electronics, Electrical Engineering and Computer Science