This thematic area is dedicated to addressing challenges in the construction industry for improving productivity, margins and quality to support design and construction leading to sustainable outcomes. The core of our research revolves around the development of intelligent systems, with a particular emphasis on leveraging Artificial Intelligence (AI) applications to enhance various aspects of the design and construction processes.
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Our research
Within the realm of AI, our research incorporates several specific techniques, often working collaboratively to tackle complex problems that typically demand human intelligence. The key AI techniques employed in our research include:
- Natural Language Processing (NLP): Understanding and processing human language to extract meaningful information
- Machine Learning: Enabling systems to learn and improve from experience without explicit programming
- Case-based Reasoning: Utilising past experiences and solutions to solve new problems
- Image Recognition: Empowering systems to interpret and make decisions based on visual data
The research is strategically focused on applying these AI techniques to key topics that span the entire design and construction lifecycle of built assets. The main areas of focus include:
- Building Information Management (BIM): Implementing intelligent systems for the effective management of building information throughout its lifecycle.
- Digital Twins: Developing digital representations of physical assets to enhance understanding, monitoring, and management.
- Regulatory Design Compliance Checking: Employing AI to ensure compliance with regulatory standards and requirements in the design and construction.
- Construction Health and Safety: Integrating AI solutions to enhance safety protocols and practices during the construction phase.
By applying AI techniques to these critical topics, the group’s research contributes to advancing the efficiency, intelligence, and sustainability of design and construction processes, addressing contemporary challenges in the industry.