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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Learning systems
Engineering & Materials Science
Accelerometers
Engineering & Materials Science
Proteins
Engineering & Materials Science
Genes
Engineering & Materials Science
Gait analysis
Engineering & Materials Science
Dementia
Medicine & Life Sciences
Visualization
Engineering & Materials Science
Gait
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2002 2019
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
Functional assessment
Clinical Decision Support Systems
Decision support systems
Alzheimer Disease
Support vector machines
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) 9 p.Research output: Contribution to journal › Article
Mathematical transformations
Support vector machines
Learning systems
Pipelines
Throughput
A Comprehensive Study on Predicting Functional Role of Metagenomes Using Machine Learning Methods
Wassan, J. T., Wang, H. . HY., Browne, F. & Zheng, H., 2018, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14 p.Research output: Contribution to journal › Article
Open Access
File
Learning systems
Feature extraction
Support vector machines
Logistics
Classifiers
A hybrid computational approach for efficient Alzheimer’s disease classification based on heterogeneous data
Ding, X., Bucholc, M., Wang, H. . HY., Glass, D. H., Wang, H., Clarke, D., Bjourson, AJ., Dowey, L., O'Kane, M., Prasad, G., Maguire, L. & Wong-Lin, K., 27 Jun 2018, In : Scientific Reports. p. 1-10 10 p., 9774 (2018).Research output: Contribution to journal › Article
Open Access
File
Bayesian networks
Magnetic resonance imaging
Data mining
Brain
Data storage equipment
An Integrative Framework for Functional Analysis of Cattle Rumen Microbiomes
Wassan, J. T., Zheng, H., Fiona, B., Bowen, J., Walsh, P., Roehe, R., Dewhurst, R., Palu, C., Kelly, B. & Wang, H. . HY., 2018, Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine. p. 1854-1860 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Functional analysis
Nutrition
Benchmarking
Learning systems
Nitrates
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 Wang (Recipient), David Glass (Recipient), Hui Wang (Recipient), Girijesh Prasad (Recipient), Tony Bjourson (Recipient), L Dowey (Recipient) & Ruth Price (Recipient), 9 May 2019
Prize