Smart Systems and Energy Informatics Research Group

Organization profile

Profile Information

The Smart Energy Systems and Energy Informatics Research Group carries out a range of research and enterprise activities centred around the themes of intelligent sensing, control and informatics for energy-related applications. Focus areas of research include applications of Information Modelling, Machine Learning and Optimization for smart grid and the built environment. The research interests and backgrounds of staff members are multi-disciplinary and varied in nature, and include specialisms in construction, control and instrumentation, power systems, artificial intelligence and ICT. The work of the group has been underpinned by numerous EU H2020 research grants and UK/Overseas Government investments, and research outputs have been recognised as world-leading or internationally excellent in terms of quality and impact.

Fingerprint Dive into the research topics where Smart Systems and Energy Informatics Research Group is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

  • Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Projects

    Research Output

    Open Access
    File
  • 14 Downloads (Pure)
    Open Access
    File
  • 50 Downloads (Pure)
    Open Access
    File
  • 32 Downloads (Pure)

    Press / Media

    QU-CENG organises Qatar BIM User Day

    Nashwan Dawood

    8/11/15

    3 items of Media coverage

    Press/Media: Press / Media

    Student theses

    Development of simulation-based genetic algorithms model for crew allocation in the precast industry

    Author: Al-Bazi, A. F. J., 11 Jun 2010

    Supervisor: Dawood, N. (Supervisor) & Dean, J. T. (External person) (Supervisor)

    Student thesis: Doctoral Thesis

    File

    A review of project controls in the UK and methodologies to improve the processes

    Author: Mackenzie, D., 1 Feb 2010

    Supervisor: Dawood, N. (Supervisor)

    Student thesis: Doctoral Thesis

    Development of a methodology for analysing and quantifying delay factors affecting construction projects in Libya

    Author: Shebob, A., 22 Oct 2012

    Supervisor: Dawood, N. (Supervisor)

    Student thesis: Doctoral Thesis

    File