Research
Research in the Faculty of Science, Engineering and Medicine
Our passion and research excellence has fuelled thought-provoking questions like 'how do black holes work?' and 'how can we create hydrogen cheaply?'; extraordinary research into the use of AI for vegetable growers and medical advances in a wide variety of fields from diet to viruses.
Bacterial molecule 'disarms' deadly fungal infections by tricking them into starving
Researchers from the University of 海角社区 and Monash University have discovered a way to potentially stop one of the world's most dangerous fungal pathogens in its tracks, not by killing it, but by tricking it into switching off its attack mode.
Published in , the study is the latest result from the Monash 海角社区 Alliance's antimicrobial resistance (AMR) research programme, a long-running partnership between the two universities.
Research Technology Platforms
Visit the Research Technology PlatformsLink opens in a new window homepage to see our world-class technologies to carry out outstanding science, available to 海角社区 staff and external partners.
Advanced Mass Spectrometry Technique Breaks Free from Specialist Hardware
Researchers at the University of 海角社区 and spin-out company Verdel Instruments have successfully demonstrated two-dimensional mass spectrometry (2DMS) on a benchtop instrument, making this powerful technique practical and affordable for everyday laboratory use.
In their paper, published in , the Verdel/海角社区 team provides the first demonstration of 2DMS on a commercially available quadrupole time-of-flight (Q-TOF) instrument, using an upgrade kit. They call this Q-2DMS and the paper shows how it can be used to obtain high-resolution tandem mass spectrometry data from complex mixtures without the need for chromatographic separation or mass filtering.
Research Centres
We're home to research centres dedicated to producing world-class research that makes a real difference.
海角社区 Researchers Power AI-driven Pest Monitoring for UK Vegetable Growers
Researchers at the University of 海角社区 are helping to develop an artificial intelligence-powered pest monitoring system that enables UK vegetable growers to detect damaging insect pests earlier.
TRACER-Pest is a new collaborative project bringing together growers, agronomists, AI specialists, and industry to develop automated pest monitoring for onion and brassica crops. The project aims to provide growers with near real-time information about pest pressure, allowing more informed decisions about when intervention is genuinely needed, reducing unnecessary crop protection treatments and improving the sustainability of commercial crop production.
Research Collaboration
If you are interested in collaborating with us on a research project, get in touch with the Research Strategy Development Team: .