• Shore Road, Jordanstown Campus

    BT37 0QB Newtownabbey

    United Kingdom

  • 1665 Citations
  • 22 h-Index
20002019
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Personal profile

Biography

Prof. Huiru (Jane) Zheng is a Professor of Computer Science with School of Computing, a full member of Computer Science Research Institute and a Fellow of the UK Higher Education Academy. She was awarded a PhD in Computer Science (applied to Bioinformatics) in 2003 and a Postgraduate Certificate in Teaching in Higher Education in 2005 from Ulster University. Prof. Zheng is an active researcher in bioinformatics and healthcare informatics. Within her broad interests in data mining, data integration, machine learning and healthcare decision support. She has a particular research interest and expertise in integrative data analytics in the field of systems biology, and intelligent data analysis and assistive technology to support healthcare and independent living. She has a successful track record of winning research funding as a principal investigator and has been a grant holder of research projects funded by EPSRC, TSB, DEL, NHS, Invest NI and European Commission including SMART Self Management, NOCTURNAL, CLARCH COPD Self Management, Self Management Platform for Connected Health, CardioWorkBench, mHealth4Afrika, SenseCare and MetaPlat. The products of her research have been reflected in her over 230 peer reviewed journal and conference publications. Prof. Zheng is a Senior Member of IEEE. She serves on the editorial board of several international journals and serves as co-chairs and program committees of a number of international conferences.

Fingerprint Dive into the research topics where Huiru (Jane) Zheng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output 2000 2019

An Ontology-Independent Representation Learning for Similar Disease Detection Based on Multi-layer Similarity Network

Qin, R., Duan, L., Zheng, H., Li-Ling, J., Song, K. & Zhang, Y., 9 Sep 2019, (Accepted/In press) In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. p. 1-11 11 p.

Research output: Contribution to journalArticle

Open Access
File
Network layers
Ontology
Multilayer
Learning
Similarity

A Virtual Reality Training Tool to Improve Weight-Related Communication Across Healthcare Settings

Quigley, F., Moorhead, A., Bond, RR., Zheng, H. & McAloon, T., 10 Sep 2019, ECCE 2019 Proceedings of the 31st European Conference on Cognitive Ergonomics: Designing for Cognition. p. 19-22 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

virtual reality
Virtual reality
communication
Communication
Testing

Bootstrapping analysis of crowdsourced non-expert estimates of the number of calories in photographs of meals

Bond, RR., Moorhead, A., Zheng, H. & McAllister, P., 29 Jan 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018: Conference Proceedings. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Madrid, Spain, p. 1465-1469 5 p. 8621166

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
dietitians
photographs
sampling

Integrated Care for Pregnant Women with Type One Diabetes using Wearable Technology

Adams, D., Zheng, H., Sinclair, M., Murphy, M. H. & Mc Cullough, J., 18 Nov 2019, BIBE 2019; The Third International Conference on Biological Information and Biomedical Engineering. 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Medical problems
Blood pressure
Health
Feedback
Insulin
Mathematical transformations
Support vector machines
Learning systems
Pipelines
Throughput

Activities 2018 2018

  • 1 Participating in a conference, workshop, ...

2018 IEEE International Conference onBioinformatics and Biomedicine

Huiru (Jane) Zheng (Participant)
3 Dec 20186 Dec 2018

Activity: Participating in or organising an eventParticipating in a conference, workshop, ...

Thesis

Deep learning-based food image classification and crowdsourcing-based calorie estimation approach to support dietary management

Author: McAllister, P., Oct 2018

Supervisor: Zheng, H. (Supervisor), Moorhead, A. (Supervisor) & Bond, R. (Supervisor)

Student thesis: Doctoral Thesis

File