Research Supervisor Connect - Future Students - University of Sydney, Australia

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Efficient Large Eddy Simulations of Helicopter Aerodynamics and Aeroacoustics

This project aims to push forward the state of the art in unsteady turbulent simulations of helicopters and UAVs flying in atmospheric turbulence generated over ships and through ur more...

Supervisor(s): Thornber, Ben (Dr)

Geometric Networks in the Presence of Obstacles

This research project aims to discover properties of geometric networks in the presence of obstacles. These properties will be used to design improved geometric networks and facilit more...

Supervisor(s): vanRenssen, Andre (Dr)

Goal Setting Applications for Self-Regulation in a Learning Experience

Setting goals, monitoring progress and reflecting on the most efficient tools to achieve these goals are part of how a self-regulated learner behaves in a learning environment. Can more...

Supervisor(s): Pardo, Abelardo (Dr)

Poling multilayer dielectric structures for compact active optical devices

Optical communications technology has transformed the world. There is a need to get more optical processing functionality into smaller devices, for applications ranging from inexpen more...

Supervisor(s): Fleming, Simon (Professor)

Feeding culling vegetables to ruminants

Sustainable agricultural production is essential as demand for food increases and environmental concerns heighten. Redirecting waste into alternate sectors of production increases s more...

Supervisor(s): Chaves, Alex (Dr)

Online digital mapping for better farm management

Digital agriculture draws decision to support on-farm management from a suite of soil and environmental data. Soil and many environmental data in Australia are currently available a more...

Supervisor(s): Minasny, Budiman (Professor)

Routing in Geometric Networks

This research project aims to compare a number of routing algorithms developed for geometric networks. Some of these algorithms come with theoretical guarantees, but we aim to see w more...

Supervisor(s): vanRenssen, Andre (Dr)

Bayesian deep learning for incomplete information

This project will feature a synergy of deep learning, modular and multi-task learning with Bayesian methods to address the problem of decision making given incomplete information. more...

Supervisor(s): Cripps, Sally (Professor), Chandra, Rohitash (Dr)