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Research earns its keep when it ships. These are the working systems: conversational agents and machine-learning models, built for the people inside complex projects: their safety, their wellbeing, their work.
A confidant in your pocket, for the people on site.
An AI-powered conversational app that helps construction workers understand and improve their psychosocial wellbeing: a private, judgement-free first step toward support in an industry where reaching out is hard. Built as an agentic system with a safety-first conversation design.
Feedback that points forward, at scale.
An AI agent that helps academics give students feedforward: guidance aimed at the next attempt, not just a grade on the last one. Designed to make high-quality, personalised assessment guidance feasible across large cohorts.
Site safety know-how, on demand.
A chatbot for sharing construction safety knowledge: turning scattered guidance, regulations and hard-won site experience into answers a worker or supervisor can get in plain language, in the moment.
Cost & schedule certainty for sustainable builds.
A machine-learning model that predicts the cost and duration of green-building projects with far greater accuracy than conventional estimating, giving developers the confidence to commit to sustainable design.
The risk of failure is the price of admission on the path to success.
One stack carries a project from a question to something people can use: modelling and text mining in R and Python, agents orchestrated and observed, then shipped to the web.
Always glad to hear from students, collaborators, and editors. Start a conversation →
School of Engineering & Technology
UNSW Canberra · Northcott Drive, Campbell ACT
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