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Dr Shuai Zhang Lecturer in Computing Science

School/Department
School of Computing & Maths
Research Institute
Computer Science
Location
Room 16J04
Jordanstown campus
Shore Road
Newtownabbey
Co. Antrim
BT37 0QB
Telephone
+44 (0)28 903 66367
Email
s.zhang@ulster.ac.uk
Shuai   Zhang

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.

Research publications

Showing 1 to 5 of 16 publications
To view all publications please visit Ulster University Institutional Repository (UIR)