Description
The construction and real estate industries are entering a phase where AI, digital twins, and immersive technologies reshape how we design, manage, and regenerate the built environment. We now have the ability to connect data, simulation, and user experience into integrated platforms that support continuous optimisation across the entire lifecycle of buildings and cities. These capabilities allow us to predict behaviours, test scenarios, and enhance collaboration across disciplines, moving construction towards a more intelligent and adaptive practice.However, the future of digital construction is not defined by technology alone. It is defined by how these tools enhance human experience, support resilience, and contribute to sustainable and equitable urban development. By placing people at the centre of AI-enabled environments, we can better understand spatial cognition, participation, trust, and decision-making, key elements that ensure technology genuinely improves quality of life.
This keynote highlights how AI-driven design, XR-based engagement, and multi-layered digital twins enable more responsive and resilient urban systems. Through examples drawn from immersive design research, smart heritage, cyber-physical innovation, and cross-disciplinary collaboration, the talk outlines pathways towards intelligent urban futures that integrate technological innovation with societal value.
The presentation argues that the next frontier of digital construction lies in uniting human insight with computational intelligence, creating cities that are adaptive, liveable, and prepared for the challenges of the coming decades.
| Period | 13 Dec 2025 → 16 Dec 2025 |
|---|---|
| Event title | NCTI-DCHK Conference 2025: Digital Transformation in Construction |
| Event type | Conference |
| Location | Hong Kong, Hong KongShow on map |
| Degree of Recognition | International |
Keywords
- Urban design
- urban furniture
- AI (Artificial Intelligence)
- Human-centric
- Construction Sector
- Innovation
- Digital Construction