Dr Shuai Zhang Lecturer in Computing Science
- School of Computing & Maths
- Research Institute
- Computer Science
- +44 (0)28 903 66367
Shuai Zhang joined School of Computing and Mathematics and the Computer Science Research Institute in 2013 as an associate member. Shuai's research interests are in the areas of Intelligent Data Analysis for connected health applications.
Shuai graduated first class with a Bachelor degree in Computer Science after a four-year course with partial studentship at Heilongjiang University in Northeast China. She proceeded her study at University of Bradford and received an MPhil in Visual Arts Data Mining working on a novel voting algorithm for neuro-fuzzy classifier ensemble to identify similar Visual Arts objects. Shuai then successfully secured Vice-Chancellor's Research Scholarships at Ulster University to undertake her PhD study in Intelligent Data Analysis in School of Computing and Information Engineering. Her research focused on modeling semantically heterogeneous aggregate data in a distributed environment, which was then applied to learn inhabitants' behavioural patterns from unreliable low-level sensor data in smart environment to support assisted living. Continued with PhD research interest, Shuai has undertaken two research associate posts firstly in the CIPS project (Centre for Intelligent Point of Care Sensors) to model relationships between physiological change and Activities of Daily Living using wearable sensors potentially for everyday health monitoring. Before getting her first lecturer post in Ulster University, she joined MATCH project (Multidisciplinary Assessment of Technology Centre for Healthcare) to focus on modelling the benefits and costs associated with technologies for the delivery of Connected Health.
Showing 1 to 5 of 16 publications
To view all publications please visit Ulster University Institutional Repository (UIR)
- Online Change Detection for Timely Solicitation of User InteractionUbiquitous Computing and Ambient Intelligence, Personalisation and User Adapted ServicesDate: (2014)Creators: Patterson, Timothy, McClean, Sally, Nugent, CD, Zhang, Shuai, Galway, Leo and Cleland, Ian
- Predicting Technology Adoption in People with Dementia; Initial Results from the TAUT ProjectAmbient Assisted Living and Daily Activities, Lecture notes in Computer ScienceDate: (2014)Creators: Cleland, Ian, Nugent, Chris D., McClean, Sally I, Hartin, Phillip J., Sanders, Chelsea, Donnelly, Mark, Zhang, Shuai, Scotney, Bryan, Smith, Ken, Noron, Maria C. and Tschanz, JoAnn C.
- A Knowledge-Driven Approach to Predicting Technology Adoption among Persons with DementiaEngineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEEDate: (2014)Creators: Patterson, Timothy, McClean, Sally, Langdon, Patrick, Zhang, Shuai, Nugent, CD and Cleland, Ian
- Clustering semantically heterogeneous distributed aggregate databasesKnowledge and Information SystemsDate: (2014)Creators: Zhang, Shuai, McClean, Sally and Scotney, Bryan
- A predictive model for assistive technology adoption for people with dementiaIEEE Journal of Biomedical and Health InformaticsDate: (2014)Creators: Zhang, Shuai, McClean, Sally, Nugent, CD, Donnelly, Mark, Galway, Leo, Scotney, BW and Cleland, Ian