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Mixed Reality Environments

Machine Learning Applications for Design and the Built Environment

While artificial intelligence (AI) generates real value in many fields, it has seen few design applications. This activity intends to build partnerships with AI experts to implement state of the art machine learning frameworks and cloud computing infrastructure for applications within the design and construction industries. The anticipated outcome are manifold: to position RMIT as a leader in the development of creative applications of AI; to enhance RMIT’s innovation capability by combining the spatial reasoning expertise of architects with cutting edge machine learning capabilities; to develop new and far reaching design applications that may include automated 3d model synthesis, search and classification.

This project aims to develop a platform enabling creatives, consultants and contractors to collaborate within mixed reality environments and test the impact of this platform through speculative and applied design build projects.

Get involved

If you would like to get involved with this project, fill out the form below or reach out to project leaders via the contact info provided alongside each bio.



Cameron Newnham
Associate Lecturer, Industry Fellow
School: Architecture and Urban Design

Personal website

Cameron Newnham explores how technology and architecture can intersect to extend the art of the possible. Using augmented reality and a deep understanding of architectural practice Cameron is striving to identify how technology can transform architecture and construction, speeding the delivery of complex buildings, and injecting new levels of craftsmanship into the built environment.

Gwyllim Jahn
School: Architecture and Urban Design

RMIT staff profile

Gwyllim Jahn is a Lecturer in the School of Architecture & Urban Design at RMIT in Melbourne where he is currently completing his PhD. His design practice has been internationally awarded and exhibited and is concerned with complex geometry and behavioural design systems, mixed reality environments, autonomous robotic fabrication and creative applications of machine learning.