Our expertise

The Centre’s R&D is structured around three main areas which are directly linked with solving Big Data research problems and challenges faced by companies in multiple market sectors. Our partnerships and collaborations with industry are a vital part of the Centre’s commitment to train doctoral students.

1. Monte Carlo and Model Definition  

Monte Carlo methods are powerful tools for everything from modelling the birth and evolution of the universe to discreet-event systems in manufacturing, stress /strength stochastic modelling in engineering design. The technique is used by professionals in such widely disparate fields as finance, healthcare, energy, manufacturing, engineering, research and development, insurance, oil & gas, transportation and the environment. 

2. Deep Learning and HPC 

Deep Learning training for science is challenging because it has to deal with massive quantities of multi-dimensional data. High-performance computing (HPC) supercomputers are increasingly being employed for meeting the exponentially growing demand for Deep Learning. Scientists run machine learning techniques on HPC to extract valuable information from complex data sets. Deep learning enabled AI technology is widely used in industry to recognize images, process natural languages, play games better than humans, and drive cars.

3. Data analysis

As organisations continue to generate enormous amounts of data, they recognise the importance of data analytics to make key business decisions. The development of efficient Monte Carlo techniques provide optimal design, scheduling, and control of industrial systems, the development and analysis of new materials and structures and the risk analysis of large portfolios of financial products. This is complemented by artificial intelligence technologies such as Deep Learning methods which seek greater insight among the ever-increasing amount of data in several key industries and powered by technological advancements as in, for example, computer vision, natural language processing, Internet of Things (IoT) and computer hardware.