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-dependent process to a device-assisted platform by integrating zero-net-mass-flux synthetic jets, piezoelectric actuation and quantitative aerosol diagnostics into an adaptive soft-mist inhaler. Funded
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comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
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I supervise projects in particle physics. My main emphasis is on phenomenology, comparison of predictions with experimental measurements. I follow developments in flavour physics: weak decays
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between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental
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I am an experimental particle physicist that works on the search for phenomena that are beyond our current theoretical understanding in terms of the Standard Model of Particle Physics. The research
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collaborations with local and international research groups such as the European X-Ray Free-Electron Laser Facility in Germany. Student projects may focus on physics theory, algorithm development, experimental
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heterogeneous datasets. The research will leverage large-scale EEG recordings collected from multiple devices and experimental paradigms through collaboration with Emotiv, a global neurotechnology company. The
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University as the new Head of School of Physics and Astronomy. In addition to my research at Monash, I hold the Lee-Lucas Chair in Experimental Physics at Imperial College London. Our research work is highly
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analysis to extract processing-structure-property relationships and support predictive process optimisation. The project sits within Monash's broader ambition to build physical-digital capability
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involving patients and communities more deeply in the process. An important part of this project (WP-1) will be to understand the impact of patient data on funding decisions for medical technologies. We will