New drone technologies that could transform disaster response will be showcased in Canberra on 10 March, bringing together researchers, industry and emergency services to explore next-generation capabilities.

The NSSN is seeking expressions of interest from suitably qualified individuals to join its Board.

The NSSN is inviting expressions of interest from suitably qualified individuals for the role of Board Chair.

Co-Founder and CEO of deep tech startup Emergence Quantum, Professor David Reilly, said Australia is well positioned to build the next generation of hardware beyond traditional silicon computing at last week’s NSSN Sensing Industry Connect at the University of Sydney.

On International Day of Women and Girls in Science, we celebrate two emerging researchers who are using smart sensing innovations to help solve climate and environmental challenges, from Antarctica to Australian farms.

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.

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.

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.

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.

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.