Dr Sara Omrani

Profile image of Dr Sara Omrani

Faculty of Engineering,
School of Architecture & Built Environment


Personal details

Positions

Senior Lecturer in Virtual Design & Construction
Faculty of Engineering,
School of Architecture & Built Environment

Keywords

Energy efficiency, Natural ventilation, Building physics, Building Information Modelling, Thermal comfort, Passive design

Research field

Building, Architecture, Other Built Environment and Design

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Qualifications

  • PhD (Queensland University of Technology)

Professional memberships and associations

BuildingSMART Australasia, Lean Construction Australia and New Zealand

Teaching

Dr Omrani has been involved in the following units: UXB100 Design Thinking for the Built Environment UXB110 Residential Construction UXH310 High-Rise Construction DAB330 Integrated Technology 1 DEH701 Research Methods

Publications

QUT ePrints

For more publications by Sara, explore their research in QUT ePrints (our digital repository).

View more publications

Filter publications:

A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/s.omrani

Selected research projects

Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.

Supervision

Current supervisions

  • Improving the Sustainability of Multi-Residential ApartmentsThrough Stakeholder Engagement
    PhD, Principal Supervisor
    Other supervisors: Professor Robin Drogemuller
  • Supporting Early Decision Making Between Precast and in Situ Concrete in Construction
    PhD, Principal Supervisor
    Other supervisors: Professor Robin Drogemuller
  • An Integrated Building Information Modelling, Integrated Project Delivery and Lean Construction Maturity Model
    PhD, Associate Supervisor
    Other supervisors: Professor Robin Drogemuller
  • Extending Bim (Building Information Modelling) Object Model for Road Infrastructure Operation and Maintenance
    PhD, Associate Supervisor
    Other supervisors: Professor Robin Drogemuller
  • Prediction of Houses Roof's Tilt Angle Using Deep Learning Techniques
    PhD, Principal Supervisor
    Other supervisors: Professor Robin Drogemuller