Research Output per year
Personal profile
Biography
Dr. Haiying Wang is a Reader in computer science at the School of Computing and Mathematics, a full member of Computer Science Research Institute and a Fellow of the UK Higher Education Academy.He received his PhD in artificial intelligence and biomedicine in 2004 and a Postgraduate Certificate in Teaching in Higher Education in 2008 from Ulster University.Haiying’s research interests lie broadly within the areas of artificial intelligence, machine learning, complex network analysis and their applications in bioinformatics and healthcare informatics. He has a particular interest and expertise in the development of advanced techniques for large-scale data integration, activity recognition and gait analysis within smart environments, metagenomics data analysis and network-based approaches to the field of systems biology.He has been a grant holder of several national and international research projects. Currently his major research income includes grants from Innovate UK and EU-Horizon2020. The products of his research have been reflected in his more than 120 peer reviewed publications in journals and conference proceedings.Among his professional service activities, Haiying has served as co-chairs and on program committees of a number of international conferences and workshops.
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Research Output
Computational Neurology: Computational Modeling Approaches in Dementia
Wong-Lin, K., Sanchez Bornot, J., McCombe, N., Kaur, D., McClean, P., Zou, X., Youssofzadeh, V., Ding, X., Bucholc, M., Yang, S., Prasad, G., Coyle, D., Maguire, L., Wang, H. . HY., Wang, H., Atiya, N. & Joshi, A., 7 Mar 2020, (Accepted/In press) Systems Medicine: Integrative, Qualitative and Computational Approaches. Wolkenhauer, O. (ed.). Elsevier Inc., 9 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual
Bucholc, M., Ding, X., Wang, H. . HY., Glass, D. H., Wang, H., Prasad, G., Maguire, L., Bjourson, A., McClean, P., Todd, S., Finn, D. & Wong-Lin, K., 15 Sep 2019, In : Expert Systems with Applications. 130, p. 157-171 15 p.Research output: Contribution to journal › Article
1
Citation
(Scopus)
Data mining and machine learning approaches for prediction modelling of schistosomiasis disease vectors: Epidemic Disease Prediction Modelling
Fusco, T., Bi, Y., Wang, H. . HY. & Fiona, B., 28 Oct 2019, (Accepted/In press) In : International Journal of Machine Learning and Cybernetics. 31 p.Research output: Contribution to journal › Article
Open Access
File
Phy-PMRFI : Phylogeny-aware Prediction of Metagenomic Functions using Random Forest Feature Importance
Wassan, J. T., Wang, H. . HY., Fiona, B. & Zheng, H., 1 Apr 2019, (Accepted/In press) In : IEEE Transactions on Nanobioscience. 9 p.Research output: Contribution to journal › Article
Understanding the relationships between rumen microbiome genes and metabolites to be used for prediction of cattle phenotypes
Wang, M., Zheng, H., Wang, H. . HY., Dewhurst, R. & Roehe, R., 18 Nov 2019, BIBE 2019; The Third International Conference on Biological Information and Biomedical Engineering. 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Prizes
Ulster University Research Excellence Award - Business Category (Under 50 employees)
Magda Bucholc (Recipient), Xuemei Ding (Recipient), Kongfatt Wong-Lin (Recipient), Liam Maguire (Recipient), Peter Devine (Recipient), Haiying / HY Wang (Recipient), David H. Glass (Recipient), H. Wang (Recipient), Girijesh Prasad (Recipient), AJ Bjourson (Recipient), L Dowey (Recipient) & RK Price (Recipient), 9 May 2019
Prize