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Diane Nazaroff Diane Nazaroff

A decade of impact: the NSSN turns 10

The NSSN marks ten years in July 2026. In this Op-Ed, NSW Chief Scientist & Engineer Professor Hugh Durrant-Whyte reflects on the Network’s origins, achievements and the priorities shaping the next decade of sensing innovation in NSW.

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Diane Nazaroff Diane Nazaroff

The Sensor - February 2026

In this month’s newsletter, we spotlight smart sensing breakthroughs spanning organic semiconductor sensors, koala conservation and disaster resilience, alongside innovative UNSW research focused on human sensory experience.

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Diane Nazaroff Diane Nazaroff

A crowdsourced sensory map to help neurodivergent Sydneysiders navigate the city - and help planners fix it 

A study by UNSW researcher Dr Fatemeh Aminpour shows how crowded, noisy and visually complex city spaces can make everyday journeys exhausting for neurodivergent people. She proposes a crowdsourced sensory map, combining sensors that measure noise, light and crowding with lived-experience data, to help cities identify problem areas and design more inclusive public spaces.

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Diane Nazaroff Diane Nazaroff

Project 'Airbear' tech could help predict best koala habitats from the sky

University of Sydney researchers led by Professor Mathew Crowther have used hyperspectral airborne imagery and machine learning to identify eucalyptus tree species and leaf nutrition favoured by koalas, enabling large-scale mapping of high-quality habitats. The approach could transform conservation.

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Diane Nazaroff Diane Nazaroff

Meet the Researcher: Dr Jessie Posar

Dr Jessie Posar is a Research Fellow in the School of Physics at the University of Wollongong, whose research advances next-generation organic semiconductor sensors, with applications across nuclear, bioelectronic and advanced materials sensing.

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Diane Nazaroff Diane Nazaroff

The project which is turning mobile signals into flood intelligence

VIDEO: Dr Kai Wu from the University of Technology Sydney is leading a project that turns everyday mobile signals into real-time rainfall intelligence. The project was developed through the Connectivity Innovation Network’s Sensing for Disasters program with the NSSN.

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