Digital Technology and Design
Exploring new ways to utilise big data and design concepts.

The increasing interconnectedness of our world and rapid advancements in analytic technology provide new opportunities to advance our understanding of the built environment. Our research explores new ways to utilise big data and evolutionary design concepts to enhance the functionality and design of smart cities.

 

Focus areas

Mobility as a service
UQ’s Mobility as a Service program integrates public transport, micro-mobility and ridesharing services into a single digital interface.
Advanced traffic simulation
Enhancing transport system design by utilising advances in machine learning, deep learning and statistical simulation techniques.
Autonomous vehicles
Exploration of the challenges associated with progressive integration of autonomous vehicles into existing transport systems.
Predictive modelling
Forecasting expected disruptions to traffic networks or impacts to infrastructure due to extreme weather to support decision-making.
Data analytics
Research utilising large public transport with the use of datasets across Brisbane helping understand people’s travel patterns and optimising services.
Video analytics
Video imagery from drones unlocks data about people and vehicle movement that enables improved system design.
Design automation
Developing computational methods and digital workflows to amplify the capability of designers and design teams.
Robotic construction
Automation of construction through the use of robotics is opening up opportunities and presenting complex challenges for designers.
Folded structures
Developing new lightweight and rapidly deployable structures based on parametric geometry and digital fabrication.
Remote sensing
Automated measurement, monitoring and analysis of damage to civil engineering assets with LiDAR and satellite technologies.
Virtual and augmented reality
Exploring new ways virtual and augmented reality can be utilised to improve design and construction processes.
Computer vision systems
Computer vision provides opportunity for measurement at new spatial and temporal scales.

Researchers

Senior Lecturer
School of Civil Engineering
Senior Lecturer
School of Civil Engineering
Professor
School of Civil Engineering
Honorary Lecturer
School of Civil Engineering
Research Fellow & Research Fellow
School of Civil Engineering
Lecturer
School of Civil Engineering
Associate Professor
School of Civil Engineering
Associate Professor
School of Civil Engineering
Deputy Head of School
Professor & Chair of Transport Eng
School of Civil Engineering
Director, Higher Degree by Research
Associate Professor
School of Civil Engineering
Lecturer & ARC DECRA
School of Civil Engineering
Professor & Deputy TAP Chair
School of Civil Engineering
Professor, TMR Chair in Structural Engineering
School of Civil Engineering