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The Multi-Agent Path Finding (MAPF) is a combinatorial problem in which agents must find a path from a start to a goal location without colliding with each other. The optimisation group at Monash is leading research in this area and has designed some of the most efficient methods to solve MAPF....
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Contemporary filmmakers and visual artists alike are embracing the potential of immersive digital technology – such as Augmented and Virtual Reality – to tell stories in powerful, new and affective ways. By effectively breaking the dictatorship of the frame that has defined the representational...
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On their own, traffic accidents cause 1.3 million fatalities every year – and improper situational awareness is often a major cause. This project aims to exploit big spatio-temporal data to design intelligent techniques for scheduling and offloading tasks to the cloud and peer vehicles. This...
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Modern map-based systems and location-based services rely heavily on the ability to efficiently provide navigation services and the capability to search points of interests (POIs) based on their location or textual information. The aim of this project is to build a next-generation navigation...
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Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions, intelligent components learn their decision logic from data corpus in an end-to-end manner and act...
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computer science. Although the efficiency of the state-of-the-art decision and optimisation procedures hinges on a wealth of sophisticated heuristic mechanisms, the key part driving their exceptional practical
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Planning is the reasoning side of acting in Artificial Intelligence. Planning automates the selection and the organisation of actions to reach desired states of the world as best as possible. For many real-world planning problems however, it is difficult to obtain a transition model that governs...
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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 leader. Am I eligible
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I work on the study of massive and supermassive stars (10-100,000 solar masses); the first generations of stars in the universe (Pop III stars); evolution of rotating massive stars and the spin of their remnants (including predictions for GW sources); mixing and transport processes in the...
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I supervise a wide range of projects in stellar astrophysics, with a focus on low and intermediate-mass stars, which have masses similar to or slightly larger than our Sun. This work is carried out within the Centre of Excellence for Astrophysics in 3D: ASTRO 3D. As a member of my group, you...