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that have enriched my university experience. These experiences have been invaluable in developing my communication, critical-thinking and interpersonal skills and key attributes that will support my future
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. For many real-world planning problems however, it is difficult to obtain a transition model that governs state evolution with complex dynamics. Fortunately as visualised in Figure 1, recent works
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Team Monash Elite Student Performer Grant The Team Monash Elite Student Performer Grant is designed to support talented students studying at Monash to represent the University in the areas of Sport
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A large part of modern life is lived indoors such as in homes, offices, shopping malls, universities, libraries and airports. However, almost all of the existing location-based services (LBS) have
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study the underlying theory, using the framework of Evolutionary Game Theory and build models for concrete applications based on this theory [2]. The ultimate goal of this project is to develop new
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as “range anxiety” are amongst the top barriers to the wide adoption of EVs. This project aims to develop a paradigm for data-driven modelling of EV behavours, optimisation for EV charging station
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David Shugg Professionalism Scholarship Industry Leaders Scholarship This Scholarship is to honour the important role that David Shugg played in the professionalism of paramedics. Throughout David’s career, he advanced and embedded professionalism in paramedic training and education in the...
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in a regional area and there was only one university in my state. I was a high achiever and wanted to strive for great things, and that path brought me to Monash University. This didn't come without
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the work had largely relied on code written by a young open source developer, who did not receive any renumeration from the sale (and who in turn, relied on code and ideas developed by AI researchers and
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and their uncertainty to different stakeholders, and evaluate the effect of the...