Engineering and IT

Objectives:

The Air Traffic Environment is changing, with many exciting concepts being introduced across the globe. The group developed an efficient simulation environment for this purpose. The objective of this project is to design and implement a new simulation environment with new features. Because of confidentiality, these features won’t be discussed here, but they represent challenges that need to be overcome.

Expected Background Knowledge:

Objectives:

The Air Traffic Environment is changing, with many exciting concepts being introduced across the globe. Evaluating these concepts require a modelling and simulation environment and algorithms to identify any problems quickly and efficiently. The group developed efficient simulation environment for this purpose, as well as evaluation algorithms. This project will extend this work with producing novel algorithms for the evaluation that are better than the existing ones.

Expected Background Knowledge:

Objectives:

One of the most fascinating types of interaction in an Air Traffic environment occurs in the Airport area, where ground movements interact with air movements. Understanding this interaction, identifying ways to simulate it efficiently, and modelling it properly require efficient algorithms for managing multiple interdependent queues. This project aims at developing a new algorithm in this direction.

Expected Background Knowledge:

Objectives:

Developing a computer system that is capable of playing GO at a professional level is one of the greatest challenges facing artificial intelligence research at the moment. This project will look at advanced artificial intelligence techniques to build a humancompetitive professional GO player. The project will develop a large-scale neuralbased system to model strategies at both the tactical and strategic levels of GO. The research will focus on a computational neural architecture for GO inspired by a number of models in human psychology.

Objectives:

The objective of the proposed thesis is to investigate and develop a small embedded vision sensor for control of an Unmanned Aerial Vehicle (UAV). The work will leverage the unique parallel processing architecture of Field Programmable Gate Arrays (FPGA) to develop a novel, small, low-power unit for determining optic flow and stereo range. This work will build on preliminary work demonstrated at UNSW Canberra that shows that it is possible to compute optic flow using FPGA.

Description of Work:

Pages