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Looking for koalas with drones: project 1

Koalas are an iconic and economically important species for Australia. Threats to koalas have reduced numbers drastically over the past 20 years, and while these threats continue, koala numbers will continue to decline in Queensland and NSW. In this project, you will explore issues related to the better detection of koalas using advanced technologies such as drones.

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Earth, Environmental and Biological Sciences

Visual place recognition for robots and autonomous vehicles

Knowing where you are is a fundamental capability for robots and autonomous vehicles moving through an environment.Increasingly technologies in this area are based around camera sensors, performing a process known as Visual Place Recognition (VPR).VPR becomes challenging in the real-world when conditions or viewpoint change: for example in conditions of inclement weather, changing seasons or day-night cycles.Robots and autonomous vehicles must also be able to localize across viewpoint changes - for example driving down the same road but in the …

Study level
PhD, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Advanced vascular models for surgical education, training and diagnosis

Vascular surgery is Australia’s second-most expensive surgical program, primarily due to an aging population with increased incidence of cardiovascular disease, representing 29% of all deaths in 2017.Surgical decision-making regarding whether, when and how to operate on a patient relies on the clinicians’ analysis of 2D and 3D reconstructed images on a computer screen in either the endovascular suite or the operating room.Further, endovascular surgeries require skillful and rapid deployment of vascular prosthetics through tortuous, patient-specific geometries to safety, effectively and …

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Chemistry, Physics and Mechanical Engineering

New Bayesian computational algorithms for monitoring submerged shoals off the coast of Western Australia

The Australian Institute of Marine Science (AIMS) is tasked with monitoring submerged shoals off the coast of Western Australia.This project will develop new statistical methodology in adaptive Bayesian design to help AIMS monitor more effectively.You will work closely with AIMS and also other members of our ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Neuroscience-based algorithms for robotics and autonomous vehicles

Increasingly researchers are looking to neuroscience and the brain for inspiration in how they design their deep learning network architectures for robotics and artificial intelligence tasks.This project will design innovative new neural network-based learning approaches to make breakthroughs in robotic and autonomous vehicle capabilities in:sensingscene understandingnavigationSimultaneous Localisation And Mapping (SLAM)other key capabilities.In doing so you will gain invaluable experience and skills in one of the most exciting fields in the world today, along with opportunities for international travel and collaborations.Our …

Study level
PhD, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Stochastic patterns of tissue inclusions

Biological tissue growth involves the secretion of new tissue (extracellular matrix, collagen fibers) by cells. This secretion incorporates scattered inclusions such as proteins and minerals into the new tissue. During bone tissue growth, some of the tissue-secreting cells themselves become incorporated into the new tissue. The distribution of these tissue-embedded cells is believed to influence subsequent tissue growth processes.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Stochastic patterns of inclusions during tissue growth

Biological tissue growth involves the secretion of new tissue (extracellular matrix, collagen fibers) by cells. This secretion incorporates scattered inclusions such as proteins and minerals into the new tissue. During bone tissue growth, some of the tissue-secreting cells themselves become incorporated into the new tissue. The distribution of these embedded cells is believed to influence subsequent tissue growth processes.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Cryptanalysis of authenticated encryption algorithms

Cryptography is the science of securing communications. It includes encryption (to provide confidentiality of message content), message authentication (to provide some assurance that the content has not been altered in transit) and a number of other services. These services can be provided by dedicated algorithms (block ciphers) or by finite state machines (stream ciphers, 'sponge' structures).Algorithms that have been proposed for providing such services are analysed using various techniques, to determine if there are any weaknesses that an attacker could …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Deep learning architectures

This project reviews deep learning architectures in the literature and investigates improvements for state-of-the-art algorithms.

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Analysis of lightweight cryptographic algorithms

This project aims to evaluate the security of cryptographic algorithms intended to provide security for information transmitted over insecure networks. The cryptographic algorithms enable secure and resilient communications in security critical applications where the communicating devices are resource constrained.The standard algorithms used may require more resources (memory, power, etc) than the devices can provide, hence the need for new lightweight algorithms. However, an efficient implementation of an algorithm is not useful if there are security weaknesses. For example, some authenticated …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

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