• Shore Road, Jordanstown Campus

    BT37 0QB Newtownabbey

    United Kingdom

  • 234 Citations
  • 10 h-Index
20072020

Research output per year

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Personal profile

Biography

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.

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Research Output

  • 234 Citations
  • 10 h-Index
  • 18 Conference contribution
  • 15 Article
  • 3 Chapter
  • 1 Paper

Radial Basis Function Neural Network with Localized Stochastic-Sensitive Autoencoder for Home-Based Activity Recognition

Zhang, S., Nugent, CD., Ng, W. Y., Wang, T. & Xu, S., 8 Mar 2020, In : Sensors. 20, 5, 16 p., 1479.

Research output: Contribution to journalArticle

Open Access
File
  • Open Access
    File
  • 18 Downloads (Pure)

    A Public Domain Dataset for Human Activity Recognition in Free-living Conditions

    Cruciani, F., Sun, C., Zhang, S., Nugent, CD., Li, C., Song, S., Cheng, C., Cleland, I. & McCullagh, P., 21 May 2019, (Accepted/In press) The 2nd Workshop on advanced Technologies for Smarter Assisted Living solutions: Towards an open Smart Home infrastructure (SmarterAAL'19). IEEE, p. 166-171 6 p.

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

  • Comparison of Activity Recognition using 2D and 3D Skeletal Joint Data

    Marshall, F., Zhang, S. & Scotney, B., Aug 2019, Irish Machine Vision & Image Processing Conference proceedings: IMVIP 2019. Irish Pattern Recognition and Classification Society, p. 13 20 p.

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

    Open Access
  • Open Access
    File
  • 3 Citations (Scopus)
    17 Downloads (Pure)

    Thesis

    Change Detection in Human Physical Activities

    Author: Khan, N., Jan 2018

    Supervisor: Zhang, S. (Supervisor), Mc Clean, S. I. (Supervisor) & Nugent, C. (Supervisor)

    Student thesis: Doctoral Thesis

    File