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The project involves design, implementation and evaluation of rule-based chatbot to support students when they study information from multiple texts, e.g., reading a few articles about global warming. The bot will support students' self-regulated learning skills which were theorised to promote...
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computational while other work will involve time spent in the lab. Search for physics beyond the Standard Model in penguin decays in data from the LHCb experiment. Identify particle identification requirements
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My primary areas of research activity are two fold: first, studing thermonuclear (X-ray) bursts from accreting neutron stars; and second, searches for optical counterparts of gravitational-wave events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve...
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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 supervise a wide range of projects in gravitational-wave astronomy. This work is carried out within the Centre of Excellence for Gravitational-wave Discovery: OzGrav. As a member of my team, you will have the opportunity to interact with gravitational-wave researchers throughout Australia and...
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My work focuses on experimental research in quantum sensing and quantum microscopy using the nitrogen-vacancy (NV) centre in diamond. In particular, we are interested in applying quantum sensing for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors,...
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Grace Kang Global Assist Grant The Grace Kang Global Assist Grant is introduced to support coursework students who participate in an overseas study program as part of their Monash degree. Total
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studies as well as to other things to promote my leadership skills, such as through the Access Monash mentoring program. This opportunity has only helped encourage my passion to learn, and become a better
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council Discovery Project, this research aims to develop highly novel physics-informed deep learning methods...
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for computational analysis. This learning analytics project will be conducted in the context of simulation-based healthcare education, and it will support the development of effective strategies to improve teamwork