Optimisation

Optimisation is a field aimed at finding the best possible element from some set given one or multiple criteria.

If you're looking for a data scientist to work with on a research project or someone to discuss potential methodologies with for a research problem, then you search for the topic you need or alternatively use the A-Z button to search the full list of data scientists.

Member	Department	Research interests
Dr Fabrizio Costa	Computer Science	How can we integrate domain expert knowledge at the right abstraction level into machine learning (ML) systems and how can we extract knowledge from these systems at various abstraction levels
Dr Saptarshi Das	Mathematics	Dynamical systems and control theory, big data analytics, machine learning, artificial intelligence, signal processing, and fractional calculus in diverse applications in energy, environment, and biomedical engineering
Professor Richard Everson	Computer Science	Machine learning, statistical pattern recognition, multi-objective optimisation and the links between them
Professor Jonathan Fieldsend	Computer Science	Optimisation, Software engineering, Machine learning, Emulation / uncertainty quantification
Professor Stuart Townley	Mathematics	Systems science, Control theory, Nonlinear dynamics, Optimisation, Physical modelling
Professor Edward Keedwell	Computer Science	Optimisation, Machine learning
Professor Danny Williamson	Mathematics	Decision theory, Optimisation, Machine learning, Bayesian inference, Statistical modelling, Emulation / uncertainty quantification
Dr Diogo Pacheco	Computer Science	Optimisation, software engineering, machine learning, network analysis, and communications.
Dr Tinkle Chugh	Computer Science	Optimisation, Bayesian statistics, Applications
Dr Markus Mueller	Mathematics	Optimisation, Physical modelling, Machine learning, Time series analysis, Signal processing
Dr Yunxiao Zhang	Computer Science	Optimisation, Game Theory, Data Security, Misinformation, Secure and Distributed Systems