Sha Liang

Dr Sha Liang

  • sliang at bournemouth dot ac dot uk
  • Lecturer in Computer Science
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Biography

Dr Sha Liang is a lecturer in Computing department at Bournemouth University (BU) and research focuses on Mixed Reality, Usability, digital health, and digital twins, starting December 2023. He received his Doctorate (PhD) in Human Computer Interaction from Sheffield Hallam University in 2018 and Master (MSc) in Human Factors from University of Nottingham in 2012. His doctoral research focuses on Establishing Augmented Reality Usability for ageing population supervised by Reader Chris Roast. Then, he worked in National Manufacturing Scotland Institute in University of Strathclyde as the Research and development Engineer between 2019 and 2023.

He has secured a couple of UKRI funding application as PI or Co-I funded by Innovate UK, Catapult and Global surgical foundation, collaborate closely with companies and institution like Simens, Thales, NHS (National Health Service) highland, Royal College of Surgeons of Edinburgh. He has over 10 years AR/VR software development experience and proficient with C#, Python and Unity.

Journal Articles

  • Liang, S., 2015. Research Proposal on Reviewing Augmented Reality Applications for Supporting Ageing Population. Procedia Manufacturing, 3, 219-226.

Books

Chapters

  • Cartmell, M.P., Gordon, I., Johnston, D., Liang, S., McIntosh, L. and Wynne, B., 2023. Modelling the Dynamics of a Large-Scale Industrial Manipulator for Precision Control. 298-318.

Conferences

  • Howie, S.R., Liang, S., Grech, A., Munawar, S.A. and Gilardi, M., 2023. Industry 4.0 Design Reviews: A Conceptual Virtual Reality Interface. ACM International Conference Proceeding Series, 273-282.
  • Liang, S., 2016. Design principles of augmented reality focusing on the ageing population. Proceedings of the 30th International BCS Human Computer Interaction Conference, HCI 2016, 2016-July.
  • Liang, S. and Roast, C., 2014. Five Features for Modeling Augmented Reality. Communications in Computer and Information Science, 434 PART I, 607-612.

Grants

  • Set Every Little-heart Free by Training (global surgical training, 01 Aug 2021). Awarded
  • Connected and Reconfigurable Factory (Innovate UK, 01 Jan 2021). Awarded
  • AR/VR Hyperreal Model for Surgical Training (Innovate UK, 01 Oct 2020). Awarded
  • Future Forge Robotics Simulator Project (Catapult, 01 Aug 2020). Awarded
  • Digital Twin: Fast Track Industrial Prototyping Toolset and Methodology (Innovate UK, 01 Feb 2019). Awarded
  • Enhancing the Quality and Usability of Spreadsheets Project (Technology Strategy Board, 01 Apr 2014). Awarded
  • Virtual Environment for Nurses in Clinical Education Project (University of Nottingham’s Centre for Integrative Learning, 01 Jun 2012). Awarded