The Knowledge and Data Engineering (KDE) Cluster at Queen's was established in 2002 to meet the challenges of data-driven and knowledge-driven large-scale intelligent systems for real-world applications and to complement research in other research clusters in the School of EEECS and across the university.
KDE rapidly expanded and established itself as a leading group in several research areas, including: Information and Knowledge Fusion; Reasoning under Uncertainty; data-driven event reasoning and data-driven intelligent autonomous systems, especially over large scale, heterogeneous, and distributed sensor networks; machine learning and data mining, deep-web data extraction and integration, spatial-temporal query answering, scheduling, optimization and software engineering.
KDE research has been deeply influenced by and embedded into real-world applications, such as in security, healthcare, smart grids, transportation, manufacturing, education, finance and e-commerce, with significant industry collaborations and cross-cluster collaborations. The staff have also developed strong links with other academic disciplines, for example Public Health, Medicine, Psychology, Sociology, and Civil Engineering.
KDE research has been funded by major funding bodies including EPSRC, ESRC, MRC, TSB, Royal Society, Royal Academy of Engineering, the European Commission, InvestNI, major international corporations, and local SMEs.
Since its establishment, KDE members have obtained more than 20 major externally funded projects from prestigious and competitive funding bodies. KDE members are also actively involved in some very large interdisciplinary projects such as: ESRC funded £7m ADRC (NI) project (Administrative Data Research Centre, 2014-2019), EPSRC/TSB funded £5m CSIT-2 (Centre for Secure Information Technologies - Phase 2, 2015-2020), the Leverhulme Trust funded £1m Doctoral Training Centre (Leverhulme Interdisciplinary Network on Cybersecurity and Society, 2014-2019). Examples of engagement with industry are the KTP and R&D grants with Allstate, a KTP project with Autoline, and an MRC funded project jointly with Public Health (QUB) and Adoreboard.