AI-Driven Mass Customisation for Smart Tiny Modular Homes

Project Summary

This project develops an AI-driven mass customisation platform for smart, sustainable tiny modular homes, targeting first-home buyers. By integrating user-driven design with advanced modular manufacturing, it enables high-quality, affordable, and adaptable living spaces that support net-zero goals. AI algorithms will generate personalised layouts optimised for cost, compliance with Australian building codes, future flexibility, and sustainability. Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) will quantify environmental and economic benefits. Industry collaboration will validate manufacturability, regulatory compliance, and financing models, paving the way for large-scale adoption. The project bridges sustainability, industrial innovation, and digital design to transform affordable housing solutions.

Project Team

• Dr. Toktam Bashirzadeh Tabrizi, School of Engineering, Design & Built Environment, WSU (Project Lead)
• Professor Greg Morrison, Co-Director, UTRC, WSU
• Dr. Ehsan Noroozinejad, Senior Researcher, UTRC, WSU
• Associate Prof. Payam Rahnamayiezekavat, School of Engineering, Design & Built Environment, WSU
• Professor Michael Chapman, School of Engineering, Design & Built Environment, WSU
• Dr Arash Sadrieh, Co-founder and Chief Science Officer Ninjatech.ai (Industry partner)

Funding Agency

School of Engineering, Design and Built Environment/ Early-Career Researchers/Decasualistion Research Support Fund 2025.

Information