樱花动漫

Institute for Data Science and Artificial Intelligence

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


Computer Science

Optimisation, Bayesian statistics, Applications 

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

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. 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.

Computer Science

Machine learning, statistical pattern recognition, multi-objective optimisation and the links between them

Computer Science

Optimisation, Software engineering, Machine learning, Emulation / uncertainty quantification

Computer Science

Optimisation, Machine learning

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.

Mathematics

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

Computer Science

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

Mathematics

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

Mathematics

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

Mathematics

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

Dr Yunxiao Zhang

Computer Science

Optimisation, Game Theory, Data Security, Misinformation, Secure and Distributed Systems