Haiying Wang

Phone+442895365970
Emailhy.wangulster.acuk

Shore Road, Jordanstown Campus
BT37 0QB Newtownabbey
United Kingdom

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Research activity per year

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.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 2 Zero Hunger
SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action
SDG 15 Life on Land
SDG 17 Partnerships for the Goals

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Dive into the research topics where Haiying Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

109 Conference contribution
87 Article
19 Chapter
5 Review article
More

Resolving heterogeneity in the diagnosis of Alzheimer’s disease and its progression using multimodal data
Hu, F., Tang, N., Wang, H. & Zheng, H., 4 Feb 2026, (Published online) In: Journal of Molecular Neuroscience. 76, 1, p. 1-15 15 p., 24.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Review of Learning-Based Antibody Design: From Sequence to Structure
Lyu, J., Doherty, C., Morgan, H., Wang, H. & Zheng, H., 29 Jan 2026, (Published online) 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, p. 7259-7264 6 p. (2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
File
1 Downloads (Pure)
Where and How: Mining Convertible Outlying Aspect for Outlier Interpretation
Guan, L., Duan, L., Wang, X., li, Z. & Wang, H., 27 Jan 2026, (Published online) In: IEEE Transactions on Neural Networks and Learning Systems. p. 1-15 15 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
2 Downloads (Pure)
A Mixed Effects Machine Learning Framework for Dairy Cattle Methane Prediction
Ross, S., Wang, H., Zheng, H., Yan, T. & Shirali, M., 7 May 2025, (Accepted/In press).
Research output: Contribution to conference › Abstract › peer-review

File
19 Downloads (Pure)
Consensus-aware Balance Learning for Sexually Suggestive Video Classification
Zhou, D., Li, J., Wang, H., Burns, M. & Liu, M., 26 Apr 2025, (Published online) 13th international conference on Computational Visual Media (CVM 2025). Vol. 15663. (Lecture Notes in Computer Science).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
File
56 Downloads (Pure)

Ulster University Research Excellence Award - Business Category (Under 50 employees)
Bucholc, M. (Recipient), Ding, X. (Recipient), Wong-Lin, K. (Recipient), Maguire, L. (Recipient), Devine, P. (Recipient), Wang, H. /. H. (Recipient), Glass, D. H. (Recipient), Wang, H. (Recipient), Prasad, G. (Recipient), Bjourson, A. (Recipient), Dowey, L. (Recipient) & Price, R. (Recipient), 9 May 2019
Prize

7th Collaborative European Research Conference (CERC 2021)
Afli, H. (Chair), Zheng, H. (Chair), Bleimann, U. (Chair), Burkhardt, D. (Chair), Loew, R. (Chair) & Wang, H. (Chair)
9 Sept 2021 → 10 Sept 2021
Activity: Participating in or organising an event › Organising a conference, workshop, ...
6th Collaborative European Research Conference
Zheng, H. (Chair) & Wang, H. (Chair)
10 Sept 2020 → 11 Sept 2020
Activity: Participating in or organising an event › Organising a conference, workshop, ...

Eithne Fraser, (PhD Researcher)
- School of Computing
Person: Doctor of Philosophy
Jialin Lyu, (PhD Researcher)
- School of Computing
Person: Doctor of Philosophy
Alastair Martin, (PhD Researcher)
- School of Computing
Person: Doctor of Philosophy
Mahdi Mohseni, (PhD Researcher)
- School of Medicine
Person: Doctor of Philosophy
Stephen Ross, (PhD Researcher)
- ross-s24ulster.acuk
- School of Computing
Person: Doctor of Philosophy

2 Active
16 Finished

The Role of Digital Twin Technology in Advancing Personalized Healthcare Solutions
Zheng, H. (PI), Wang, H. (CoI) & Cleland, I. (CoI)
The Royal Society
17/03/25 → 16/03/27
Project: Research
Deep learning and digital health to support post-stroke function-based rehablitation
Zheng, H. (PI), Wang, H. (CoI) & McClean, S. (CoI)
The Royal Society
20/03/23 → 19/03/26
Project: Research
AI-Assisted Mobile Application System for Amputee Gait Training and Assessment
Zheng, H. (PI) & Wang, H. (CoI)
Engineering and Physical Sciences Research Council
1/09/23 → 31/10/24
Project: Research
Novel Machine Learning Modelling utilizing Experimental and Farm Data for Higher Efficiency and Lower Green House Gas Emission Dairy Production
Zheng, H. (PI) & Wang, H. (CoI)
Department of Agriculture, Environment & Rural Affairs (DAERA) of Northern Ireland (UK)
1/10/22 → 30/09/25
Project: Research
DFE CAST: Network Machine Learning Approach to Financial Crime Detection
Zheng, H. (CoI) & Wang, H. (PI)
1/10/20 → 30/09/24
Project: Research

Haiying Wang

Personal profile

Biography

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Resolving heterogeneity in the diagnosis of Alzheimer’s disease and its progression using multimodal data

Review of Learning-Based Antibody Design: From Sequence to Structure

Where and How: Mining Convertible Outlying Aspect for Outlier Interpretation

A Mixed Effects Machine Learning Framework for Dairy Cattle Methane Prediction

Consensus-aware Balance Learning for Sexually Suggestive Video Classification

Ulster University Research Excellence Award - Business Category (Under 50 employees)

7th Collaborative European Research Conference (CERC 2021)

6th Collaborative European Research Conference

Eithne Fraser, (PhD Researcher)

Jialin Lyu, (PhD Researcher)

Alastair Martin, (PhD Researcher)

Mahdi Mohseni, (PhD Researcher)

Stephen Ross, (PhD Researcher)

The Role of Digital Twin Technology in Advancing Personalized Healthcare Solutions

Deep learning and digital health to support post-stroke function-based rehablitation

AI-Assisted Mobile Application System for Amputee Gait Training and Assessment

Novel Machine Learning Modelling utilizing Experimental and Farm Data for Higher Efficiency and Lower Green House Gas Emission Dairy Production

DFE CAST: Network Machine Learning Approach to Financial Crime Detection

Haiying Wang

Personal profile

Biography

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Prizes

Activities

Profiles

Projects