• Shore Road, Jordanstown Campus

    BT37 0QB Newtownabbey

    United Kingdom

  • 1276 Citations
  • 18 h-Index
20022019
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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 2002 2019

Functional assessment
Clinical Decision Support Systems
Decision support systems
Alzheimer Disease
Support vector machines
Mathematical transformations
Support vector machines
Learning systems
Pipelines
Throughput
Open Access
File
Learning systems
Feature extraction
Support vector machines
Logistics
Classifiers
2 Citations (Scopus)

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 journalArticle

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 proceedingConference 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