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Institute for Data Science and Artificial Intelligence


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 Tinkle Chugh

Computer Science

Optimisation, Bayesian statistics, Applications 

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


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. Optimisation, Physical Modelling, Machine Learning, Bayesian Inference, Time Series Analysis, Statistical Modelling, Emulation/Uncertainty Quantification, Frequentist Inference, High Performance Computing, Signal Processing, Control Systems, Image Processing.

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 Edward Keedwell

Computer Science

Optimisation, Machine learning

Dr Ke Li

Computer Science

Optimisation, Software Engineering, Machine Learning. I am working on multi-objective optimisation and decision-making, machine learning and applications in various areas, including, but not limited to software engineering and synthetic biology.

Dr Markus Mueller


Optimisation, Physical modelling, Machine learning, Time series analysis, Signal processing

Dr Diogo Pacheco

Computer Science

Optimisation, software engineering, machine learning, network analysis, and communications.

Dr David Richards


Optimisation, Causality, Physical Modelling, Software Engineering, Machine Learning, Bayesian Inference, Time Series Analysis, Frequentist Inference, High Performance Computing, Statistical Modelling.

Professor Stuart Townley


Systems science, Control theory, Nonlinear dynamics, Optimisation, Physical modelling

Professor Danny Williamson


Decision theory, Optimisation, Machine learning, Bayesian inference, Statistical modelling, Emulation / uncertainty quantification