Email Address: Declan.firstname.lastname@example.org
Declan O’Sullivan is a Professor in Computer Science at the School of Computer Science and Statistics, and is a co-applicant Principal Investigator in the ADAPT SFI Research Centre. Data and its relationship with Machine Learning and Artificial Intelligence algorithms, is increasingly dominating the research landscape, as intelligent applications become embedded in our daily lives. Prof. O’Sullivan and his team’s research in Knowledge Graph Techniques, which extracts, transforms and integrates data, is central to this relationship. People and machines can benefit from knowledge graph techniques for purposes such as data integration, knowledge discovery and in-depth analyses.
Since joining TCD from industry in 2001, he has established himself as an international research leader in his field: authoring 260+ scientific peer-reviewed papers and international Journals; being a member of 3 journal editorial boards and having undertaken 12+ chair roles in IEEE and IFIP conferences over the years. He has won competitive research funding as PI and Co-PI of approximately 7.8M euro. Funding has been won across a range of funding programmes: European Commission (H2020 and Marie Curie); Science Foundation Ireland (FAME, CNGL, ADAPT); HEA PRTLI (NEMBES, TGI) and from industry: Huawei, Accenture, Ericsson, Nokia Bell Labs, Ordnance Survey Ireland, Central Statistics Office. He was elected as a Fellow in Trinity College Dublin in 2019 in recognition for the quality of his contributions.