Dr. Stephen Swift is a Research Lecturer in the School of Information Systems, Computing and Mathematics at Brunel University London. He received a B.Sc. degree in Mathematics and Computing from the University of Kent, Canterbury, U.K., an M.Sc. in Artificial Intelligence from Cranfield University, Cranfield, U.K. and a Ph.D. degree in Intelligent Data Analysis from Birkbeck College, University of London, London, U.K. He has four years post-doctoral research experience on an EPSRC funded project entitled “Modelling Short Multivariate Time Series” (involving Moorfields Eye Hospital) GR/M94120) and a BBSRC funded project entitled “Analysing Virus Gene Expression Data to understand Regulatory Interactions” (BIO14300) in collaboration with the Departments of Virology and Biochemistry at University College London and the School of Computer Science and Information Systems, Birkbeck College. He has also spent four years in industry as a web designer, programmer and technical architect.
Newest selected publications
Scott, M., Counsell, S., Lauria, S., Swift, S., Tucker, A., Shepperd, M. and (2015) 'Enhancing practice and achievement in introductory programming with a robot olympics'. IEEE Transactions on Education. pp. 1 - 6.Open Access Linket al.
Sacchi, L., Tucker, A., Counsell, S., Garway-Heath, D. and Swift, S. (2014) 'Improving predictive models of glaucoma severity by incorporating quality indicators'. Artificial Intelligence in Medicine, 60 (2). pp. 103 - 112. ISSN: 0933-3657 Open Access Link
Li, Y., Swift, S. and Tucker, A. (2013) 'Modelling and analysing the dynamics of disease progression from cross-sectional studies'. Journal of Biomedical Informatics, 46 (2). pp. 266 - 274. ISSN: 1532-0464
Tang, Y., Wang, Z., Gao, H., Swift, S. and Kurths, J. (2012) 'A constrained evolutionary computation method for detecting controlling regions of cortical networks'. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9 (6). pp. 1569 - 1581. ISSN: 1545-5963
Hameed, MA., Counsell, S. and Swift, S. (2012) 'A meta-analysis of relationships between organizational characteristics and IT innovation adoption in organizations'. Information and Management, 49 (5). pp. 218 - 232. ISSN: 1872-7530 Open Access Link