Neil Ireson
School of Computer Science
Research Associate
Member of the Pervasive Computing research group
Full contact details
School of Computer Science
Regent Court (DCS)
211 Portobello
葫芦影业
S1 4DP
- Profile
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My research interests can broadly be defined as knowledge acquisition from data. This has primarily focused on the use of Machine Learning, initially applied in the field of Natural Language Processing, developing techniques for Text Classification and Information Extraction from large-scale text repositories and Collective Intelligence from social media messages.
More recent work has focused on the understanding of individual and population movements. Modelling air-travel data, to identify mobility patterns indicative of criminal activity, such as drug and human trafficking; and using mobile device sensor data to understand how contextual factors (e.g., weather, journey purpose) influence mobility, for health and well-being.
- Research interests
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Artificial Intelligence, Machine Learning, Collective Intelligence, Mobility Analysis, Health & Well-being.
- Publications
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Journal articles
Chapters
Conference proceedings papers
Posters
Preprints
- Research group
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Pervasive Computing
- Grants
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Investigating the social and environmental contexts of habitual walking ACTIVities in older adult DYADs: A feasibility study (The ActivDyad study)
Transforming Parkinson's disease clinical management with integrated digital health technologies
TENACITy - Travel Intelligence Against Crime and Terrorism
Mobilise-D - Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement