Data management and data science

Browsing the internet involves transferring user behavioural data to a large-cloud based system, which in turn are massive consumers of energy.

This projects aims to develop advanced knowledge and techniques from data quality management, data storage and high-performing processing to data mining and ML for trends prediction in spatial information systems, intelligent transport systems, IoT, and streaming sensory data. analytics context

Prof. Shazia Sadiq leads research to address issues related to information resilience, including responsible use of data assets and data curation at scale.

Big-data analysis relates to conducting multi-disciplinary research on large-scale, unstructured, multimodal and complex data to find innovative and practical solutions, and creating value from big data in business, scientific and social applications.