STEM Research Projects

Please find details below on what research projects are available.

Area of research Project title Project description Lead researcher

Data Science

Modelling and combatting online social influence and misinformation

The spread of misinformation online is believed to be driven in part by non-human actors: algorithms and bots, often coordinated offshore.

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Professor Lewis Mitchell

Robotic Vision and Machine Learning

Reliable Life-long Deployment of Machine Learning on Mobile Robots

Before we can have mobile robots operating safely among people in complex and ever-changing everyday environments for long periods, these autonomous systems need the following:

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Dr Feras Dayoub

Electrical and Electronic Engineering

Terahertz technology

The terahertz spectrum is loosely defined between 0.1 and 10 THz, or between the microwave and infrared regions.

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A/Prof. Withawat Withayachumnankul

Advanced Materials

Optical Engineering of Nanoporous Photonic Crystals Lasers

In this project we will engineer the self-organized structure of nanoporous anodic alumina (NAA) through electrochemical oxidation of aluminum to generate a palette of model nanoporous platforms with tailored, hexagonally distributed, straight cylindrical nanopores.

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Pure Mathematics

Dense entire curves in spaces of holomorphic maps between Riemann surfaces, generalised translations, and universal maps

The project consists of an in-depth investigation in the special case of complex dimension 1 of very recent developments in the subfield of complex geometry known as Oka theory.

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Professor Finnur Larusson

Pure Mathematics

Flexible complex manifolds and the homotopy principle in complex geometry

A cluster of projects around notions of flexibility for complex manifolds that imply some form of a homotopy principle, which means that certain analytic problems have purely topological obstructions.

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Professor Finnur Larusson

Plant Biochemistry

Re-purposing 'shelved' antibiotics in the search for new herbicides

A fully funded PhD scholarship in the Antibiotic and Herbicide Discovery Group of Dr Tatiana Soares da Costa is available at the University of Adelaide, based at the Waite Research Institute.

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Dr Tatiana Soares da Costa

Palaeoecology and ancient DNA

Responses of parasites and pathogens to climate change and host decline: a long-term perspective

Parasites and pathogens are a large and crucial component of global biodiversity.

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Dr Jamie Wood

Palaeoecology and ancient DNA

Sedimentary ancient DNA as a new tool for understanding Australia’s past

The study of DNA molecules preserved in sediments is an exciting new field that complements traditional palaeoecological and archaeological techniques.

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Dr Jamie Wood

Gravitational Waves (Physics)

Lasers for next-generation GW detectors

Project web page - Physics research

Project available for: PhD students

Prof Peter Veitch

Gravitational Waves (Physics)

Adaptive optics and sensing for GW detectors

Project web page - Physics research

Project available for: PhD students

Prof Peter Veitch

Gravitational Waves (Physics)

Design of next-generation GW detectors

Project web page - Physics research

Project available for: PhD students

Prof Peter Veitch

Nanophotonics

Pumping up the volume on sound-light interactions

This project aims to create a new class of integrated microwave information processors on a single optical chip.

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Dr Andy Boes

Nanophotonics

Wide bandgap photonic integrated circuits

This project aims to explore wide bandgap materials for efficient nonlinear optical frequency conversion.

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Dr Andy Boes

Advanced Materials, Chemical Engineering and Advanced Materials

Reducing waste with advanced, biodegradable food packaging materials

Goal: To synthesize "green", biodegradable food packaging materials and reduce our reliance on wasteful single-use petrochemical plastics.

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Dr Bryan Coad

Physical Chemistry and Food

Plasma technologies for food and agricultural applications

Goal: Research on the use of plasma discharges to modify foods and grains.

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Dr Bryan Coad

Biomedical Engineering and Biomaterials

Preventing biomedical device infections

Goal: Develop coatings to prevent microbial infections on medical devices.

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Dr Bryan Coad

Veterinary Public Health, Infectious Disease

Does Storage temperature drive virulence of Food borne pathogens ?

This project will aim to optimize the storage temperature for eggs and chicken meat.

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Prof Kapil Chousalkar

Veterinary Science

Vaccine for Avian Hepatitis E virus

This project will aim to develop a vaccine for Avian Hepatitis -E virus.

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Prof Kapil Chousalkar

Marine Ecology / Socio-ecology

The multiple benefits of seagrass restoration

Seagrass ecosystems are extremely valuable to nature and people, providing a wide range of ecosystem services such as carbon sequestration (‘blue carbon’), preventing shoreline erosion and supporting healthy fish populations.

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Dr Alice Jones

Marine Ecology

Developing improved methods for large-scale seagrass restoration

Seagrass ecosystems are extremely valuable to nature and people, providing a wide range of ecosystem services such as carbon sequestration (‘blue carbon’), preventing shoreline erosion and supporting healthy fish populations.

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Associate Professor Jason Tanner

Mining Engineering

Environmental impact assessments of in-situ syngas generation from coal for urea production

In-situ gasification (ISG) is a merging technology to convert underground coal to syngas that can be used for urea fertilizer.

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Associate Professor Chaoshui Xu

Mechanical Engineering

Optimisation of in-situ syngas generation from coal for environment-friendly urea

In-situ gasification (ISG) is a merging technology to convert underground coal to syngas that can be used for urea fertilizer.

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Dr Zhao Tian

Bioinformatics / Computational Biology, Bacterial Genetics, Medical Microbiology

Characterisation of antimicrobial resistance gene dissemination using pathogen whole-genome sequencing

The spread of antimicrobial resistance (AMR) in many bacterial pathogens is driven by ‘mobile AMR genes’ that can be transferred horizontally between different bacteria.

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Dr Anna Sheppard

Theoretical Chemistry, Computational Chemistry, Chemical Physics

Predicting concentration-gradient-driven fluid flow in 2D membranes

Transport of liquid mixtures and solutions through porous membranes is central to many processes of practical and fundamental significance, including water desalination and purification, chemical separations, energy generation and storage, sensing, and biological homeostasis.

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A/Prof. David Huang

Theoretical Chemistry, Computational Chemistry, Chemical Physics

Multi-scale modelling of soft condensed matter

Many phenomena in soft condensed matter occur on length and/or time scales that are unfeasible to study theoretically or computationally if every atom in the system is represented explicitly.

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A/Prof. David Huang

Chemistry, Materials Synthesis, Analytical Chemistry, Environmental Remediation

Light driven degradation of persistent organic pollutants

Use your skills in chemistry to make an impact in the local and international community.

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Dr. Cameron Shearer

Chemistry, Artificial Intelligence, Environmental Remediation

A self-driving laboratory for rapid, automated optimisation of pollutant remediation

The project will develop an integrated, AI controlled system for rapid development of pollutant remediation solutions.

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Dr. Cameron Shearer

Chemistry, Materials Chemistry, Renewable Energy

Hydrogen: green and renewable energy sourced from sunlight and water

Fastrack a renewable energy future through discovery of new materials for hydrogen generation.

 

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Dr. Cameron Shearer

Earth Sciences, Energy Resources

Storing carbon in buried volcanoes

This project will assess the feasibility of permanent carbon dioxide storage through carbonate mineralisation in buried volcanic rocks proximal to high CO2 content reservoirs.

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Prof Simon Holford

Earth Sciences, Energy Resources

Fault stability during CO2 and hydrogen injection

This project will focus on the Cooper Basin and will investigate the maximum sustainable pressures related to reservoir CO2 and hydrogen injection that will not induce seismicity.

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Prof Simon Holford

Earth Sciences, Energy Resources

The seismic and stratigraphic record of ancient Southern Ocean currents

The overarching goal of this project is to develop a deep-time record of ocean circulation using the Cenozoic sedimentary record of the southern Australian margin.

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Prof Simon Holford

Earth Sciences, Energy Resources

Critical gases’ in South Australia

This project will explore the geological controls on the origin and distribution of commercially important ‘critical gases’ including natural CO2, hydrogen and helium in South Australia.

Project available for: Mphil and PhD students

Prof Simon Holford

Earth Sciences, Energy Resources

Constraints on the Cretaceous topographic evolution of central Australia from geodynamic modelling and subsurface mapping

The intra-continental Eromanga basin is one of Australia’s largest sedimentary sub-basins and forms part of the larger Great Artesian Basin.

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Prof Simon Holford

Earth Sciences, Energy Resources

Novel isotope techniques to explore the Centralian Superbasin, Australia

This project will leverage new advances in analytical instrumentation and isotope techniques to generate improved geochronological and stratigraphic framework for the Centralian Superbasin, a vast ancient depositional system covering much of central Australia.

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Dr. Juraj Farkas

Mathematical Sciences

Optimising the directed evolution of yeast strains for the wine fermentation process

Strains of yeast used in the wine fermentation process can be enhanced through directed evolution in lab biostats.

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Ben Binder

Mathematical Sciences

TAMMiCol: developing a native app for the automated image processing of experimental images in high-throughput assays

Microbial communities of yeast and bacteria are commonly used in biotechnological applications such as the filtration of drinking water, treatment of wastewater and production of bio-fuels.

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Ben Binder

Mathematical Sciences

Quantifying and modelling yeast colony spatial patterns

Yeasts colonies can forage for food by either the process of filamentous growth, or the formation of a biofilm.

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Ben Binder

Mathematical Sciences

Three-dimensional water waves over topography

The purpose of this project is to study water waves and how they interact with bottom topography. One reason for doing this is to provide a means for using surface observations (of the ocean surface, for example) to infer the shape and structure of the water-bed.

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Ben Binder

Experimental Particle Physics

The search for New Physics at the CERN Large Hadron Collider

Physicists anticipate discoveries of new particles and forces in the coming decade given the overwhelming hints that now exist.

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Paul Jackson

Experimental Particle Physics

Upgrade to the ATLAS Experiment at CERN Large Hadron Collider

The next generation of particle physics detectors are being constructed right now and this project will place you at the forefront of detector construction participating in the global effort of an entirely new silicon tracking device.

Project available for: Mphil and PhD students

Paul Jackson

Experimental Particle Physics

Rare Leptonic Decays with the Belle II Detector

Decays of B mesons have long been a window into the unknown and this project will provide the best dataset from the Belle II detector to understand the world of 'Flavour'physics.

Project available for: PhD students

Paul Jackson

Mining Engineering

Surface subsidence assessments of in-situ syngas generation from coal for urea production

The aim of this project is to establish a geotechnical model for the assessment of surface subsidence in in-situ syngas generation from coal for urea production.

Project available for: PhD students

Chaoshui Xu

Mining Engineering

Coupled HTC modelling of fluid flow for in-situ recovery of minerals

Fluid flow through fractures in a rock mass is a very important topic in many applications such as stability assessment of rock excavations, in-situ mineral recovery, oil/gas engineering, enhanced geothermal systems and carbon sequestrations.

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Chaoshui Xu

Mining Engineering

Rock mass strength modelling

Fractures within a rock mass have the dominant effects on its mechanical behaviours.

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Chaoshui Xu

Chemical Engineering / Materials Science

Modelling next generation materials for CO2 conversion to fuels

Do the carbon emission and climate change issue bother you? Were you concerned when AEMO (Australian Energy Market Operator) suggested a potential rolling blackout for South Australia due to a lack of energy supply? Do you worry that fossil fuel will run out? If you do, then you might wish to consider participating in this research project as it will lead to a clean and more sustainable energy future.

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Yan Jiao

Chemical Engineering / Materials Science

Develop Catalyst Materials for Future Fuels by Operando Computation

There has been an ongoing effort to explore reliable, clean and sustainable fuels, to replace traditional fossil fuels. Nowadays, the large-scale production of green electricity from renewable energy resources is available, e.g. solar or wind.

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Yan Jiao

Biomedical, Biochemistry

High throughput screening for novel regulators of the hypoxic signalling pathway

The hypoxic signalling pathway is responds to low oxygen in normal physiology and disease.

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Daniel Peet

Mechanical Engineering

Magnetic levitation vibration isolation

High precision equipment for advanced scientific measurement (such as LIGO) and advanced manufacturing (such as microprocessor fabrication) requires extremely high levels of vibration suppression for successful operation.

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William Robertson

Biomechanics

Cervical spine injury mechanisms

Cervical spine injuries often lead to devastating spinal cord injury and little is understood about the mechanisms underlying them.

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Claire Jones

Biomechanics

Cerebrospinal fluid flow dynamics for spinal trauma and myelopathy

Cerebrospinal fluid dynamics are complex and intertwined with other physiological processes, and may be a useful tool for diagnosis and treatment of spinal pathology and injury.

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Claire Jones

Biomechanics

Traumatic brain injury mechanics

The mechanics of the brain during injury events leading to concussion, moderate and severe brain injury are poorly understood.

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Claire Jones

Biomechanics

Mechanics of bone and cartilage in spine osteoarthritis

Osteoarthritis of the cervical spine is understudied, despite its debilitating effects on the individual.

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Claire Jones

Biomechanics

Mechanics of the healthy cervical spine

Project available for: PhD students

Claire Jones

Astrophysics

Studies of extreme particle accelerators in the Universe

We have several projects using the HESS and the forthcoming CTA gamma-ray observatories to study the nature of extreme particle accelerators (like black holes, pulsars and supernova remnants) in our galaxy and beyond.

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Gavin Rowell and Sabrina Einecke

Computational Astrophysics

Modelling of extreme particle transport in the Milky Way

Using state-of-the-art numerical and computational codes, these projects will model the production and 'escape' of extreme particles from supernova remnants and other particle accelerators in our Galaxy.

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Gavin Rowell and Sabrina Einecke

Astrophysics and Machine Learning

Machine learning applications in gamma-ray astronomy

Solving astronomical problems has been a key driver in the development of machine learning techniques.

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Martin White and Sabrina Einecke

Electrical and Electronic Engineering

Feature extraction and selection for the next generation of electricity price prediction in the National Electricity Market

Electricity price prediction is essential for wholesale market participants.

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Ali Pourmousavi Kani

Electrical and Electronic Engineering

Application of codebook technique for privacy-preserving dimensionality reduction of electricity consumption data

Electricity smart meters can measure our consumption at sub-second intervals.

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Ali Pourmousavi Kani

Construction Management

Decision-making and purchase preferences of building occupants in adopting solar panels

The diffusion of solar panels in Australia thus far has a high degree of regional disparity and other previous studies.

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Ruidong Chang

Construction Management

Diffusion scenario modelling of residential solar panels

At the state level, now all Australian state and territory governments are committed to net zero emissions by 2050 or earlier, while no local governments have a clear vision and planning for residential solar development.

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Ruidong Chang

Construction Management

Mapping the transition of global green building industry: projects, corporations and networks

This project aims to present the first ever comprehensive study on the global green building industry, analysing 30000+ LEED projects and 570000+ BREEM projects. Based on data from Google Trends, this project quantifies global public interest and acceptance of green buildings.

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Ruidong Chang

Mathematical Sciences and Pure Mathematics

Symmetry and completeness in Lorentzian geometry

This title summarises several interconnected projects in Lorentzian geometry, which is at the foundations of general relativity and string theory.

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Thomas Leistner

Construction Management

The acceptance model for recycled and remanufactured construction products

A large number of recycled and remanufactured products are available in construction products. However, the uptake of such products is relatively low.

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Jian Zuo

Conservation Biology (Marine), Fish Ecology

Save our Leafy Seadragons

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Leafy seadragons (Phycodurus eques) are a species of seahorse that are endemic to the temperate southern waters of Australia.

Ivan Nagelkerken

Mechanical Engineering

Structural integrity of aging aircraft

The two most critical threats to structural integrity and airworthiness of ageing aircraft are fatigue and corrosion.

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John Codrington

Evolutionary Biology / Conservation Genetics

Phylogeography and systematics of Australian grass wrens

Grass wrens are an enigmatic and cryptic group of Australian birds with a highly fragmented distribution in the arid and semi-arid zones.

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Jeremy Austin

Evolutionary Biology / Conservation Genetics

Phylogeography and conservation genomics of Australian night and ground parrots

Australian parrots in the genus Pezoporus have declined in range and abundance since European arrival.

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Jeremy Austin

Conservation Genetics / eDNA

DNA-based diet analysis of the critically endangered bent-winged bat Miniopteris schreibersii

Bent-winged bats in South Australia and western Victoria are critically endangered.

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Jeremy Austin

Aerospace Engineering

Stability of hypersonic flows for future travels

This is of particular interest in many practical aerospace applications, such as fuel injection in scramjet engines for stable and efficient combustion.

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Rey Chin

Engineering

Flow control to eliminate greenhouse gas emission

Australia’s shipping industry contributes over AUD $20 billion to the economy annually.

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Rey Chin

BioMedical / Biofluid / Engineering

Saving lives with new stents

Cardiovascular diseases have been widely acknowledged as the major cause of the death in our community.

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Rey Chin

Engineering

Turbulence in pipe flows

Australia with her large land mass requires much resources to be transported via pipes.

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Rey Chin

Engineering

Multiphase flow for heavy industry

A combination of laser diagnostics and numerical simulation to understand heat transfer and particle dynamics for heavy industry.

Project available for: Mphil and PhD students

Rey Chin

Renewable Energy

Improving efficiency of wind farms

Wind is one of the cleanest renewable energies available.

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Rey Chin

Plant Science

Breeder-ready genetic tools for sustaining wheat yields under heat stress

Yield losses in wheat due to heat stress are increasing with climate change, driving an urgent need for new heat tolerant varieties; however, few resources for heat tolerance are available for use in breeding.

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A/Prof Matthew Tucker

Wine Chemistry

A variety of projects can be formulated and will depend on applicant background and interests

Project available for: PhD students

A/Prof David Jeffery

Critical Minerals

Lithium fingerprints: discovering geochemical and mineralogical indicators of lithium ore deposits

Global demand for lithium is set to accelerate over the next decade, which means discovery of new ore deposits are needed urgently needed to sustain demand into the future.

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A/Prof Carl Spandler

Critical Minerals

Realising the cobalt potential of South Australia

Cobalt is an essential ingredient for batteries for renewable energy storage, and Australia can become a secure supplier, yet the distribution and concentration of cobalt within ores is poorly understood.

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A/Prof Carl Spandler

Cyber Security

Defending Machine Learning Operations (MLOps) across the Human-Machine Interface

To investigate how we can defend machine learning operations against subversion and at the same time understand how to attack the machine learning operations of our adversaries.

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A/Prof Hung Nguyen

Cyber Security

Real-Time Network Protection Using Machine Learning Models

Network segmentation involves partitioning a network into smaller networks, while network segregation involves enforcing security rules to restrict access to hosts and services only when required and authorized.

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A/Prof Hung Nguyen

Animal Science and Climate Change

Understanding and alleviating heat stress in small domestic ruminants

Climate change will profoundly impact Australian agriculture.

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Assoc. Professor Will van Wettere

Photonics and Applied Physics

Microresonator frequency comb generation

Owing to the strong light confinement, microresonators can generate stable broadband optical frequency combs with a variety of linear and nonlinear effects such as the Kerr effect, the Raman effect, the second harmonic generation, the optical parametric oscillation, and the electro-optic effect.

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Dr Wenle Weng

Photonics and Applied Physics

Electrooptic conversion based on novel spatiotemporal modulation schemes

With applied electrical fields, the electrooptic effect can be utilised to change the frequency of the laser light trapped in microresonators.

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Dr Wenle Weng

Photonics and Applied Physics

Precision terahertz sensing using microresonator photonic oscillators

Microresonator frequency combs can produce laser pulse trains with high repetition rates in the THz frequency range (0.3'1012 Hz to 3'1012 Hz).

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Dr Wenle Weng

Inorganic Chemistry, Materials Chemistry, Analytical and Environmental Chemistry, Physical Chemistry

Development of a solar reactor for photocatalytc water-splitting to produce renewable hydrogen

Industry-sponsored project to develop exciting new technology for generating hydrogen directly from water and solar energy.

Project available for: Mphil and PhD students

Prof Greg Metha

Inorganic Chemistry, Materials Chemistry, Analytical and Environmental Chemistry, Physical Chemistry

Characterisation of snake venom protein assemblies

Snake venoms contain a complex and underexplored variety of biologically active proteins with remarkable pharmacological effects that are promising sources for therapeutic development.

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Tara Pukala

Inorganic Chemistry, Materials Chemistry, Analytical and Environmental Chemistry, Physical Chemistry

Analysis of Unusual DNA Structures

Many variations from the well-known duplex DNA structure play key roles in a range of cellular processes.

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Tara Pukala

Chemistry, Structural Biology, Protein Structure

Structural understanding of Protein Misfolding and Aggregation

A broad range of debilitating human diseases is connected with the failure of a specific protein to adopt or remain in its functional conformation and instead aggregate to insoluble deposits.

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Tara Pukala

Genetics, Pregnancy and Birth, Cancer Biology and Clinical Oncology Research

Investigating the role of DNA methylation in human genetic disorders; congenital malformations to familial blood cancers.

Methylation is a well-studied process that biochemically changes DNA, which can affect the readability and accessibility of certain genes.

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Prof. Hamish Scott, Dr Thi Thuong Ha and Dr Claire Homan

Bioinformatics / Computational Biology, Computer Science, Genetics, Pregnancy and Birth

Detection of copy number and structural variations underlying unresolved pregnancy and infant loss, and congenital abnormalities.

The first human genome was assembled in 2006, which provided a linear scaffold to study a catalog of genetic variations that can arise in a human.

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Prof. Hamish Scott and Dr Thi Thuong Ha

Data Science

Developing explainable AI methods for the financial sector

Artificial intelligence (AI) is revolutionising many fields, where increasingly sophisticated "black box" models are being deployed.

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Lewis Mitchell

Data Science

Evaluating health systems via online forums and data science approaches

Evaluating patient experiences and care in health systems is a critical concern, in Australian and overseas. However, traditional patient-reported, survey-based methods are known to be severely limited, and only capture a portion of the overall patient experience.

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Lewis Mitchell

Mathematics

Mathematical modelling to understand chemical signalling and cellular response in tissue

On fertilisation of a mammalian oocyte (egg) a wave-like response is seen in the surrounding cumulus cells on a time-scale corresponding to diffusion of a chemical (likely calcium) signal, with the cells dying and moving away from the oocyte.

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Yvonne Stokes

Mathematics

Dynamics of focusing of particles suspended in a flow down a helically wound channel

Particles suspended in flows in curved geometries migrate to different regions of the channel cross-section based on their size/weight.

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Yvonne Stokes

Mathematics

Computational modelling to understand extrudate swell

When a viscous fluid is squeezed from a tube the fluid thread expands, a little understood phenomenon known as extrudate/die swell.

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Yvonne Stokes

Chemical Engineering, Applied Math

Data assimilation for parameters calibration of Lithium-ion batteries and quantification of uncertainty

The storage of energy is an essential part of any reliable energy source on different scales, providing convenient access to energy away from the source (e.g., laptops and fuel tank) or a buffer for usage under varying demand-supply.

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Mohammad Sayyafzadeh

Reservoir, Hydrology, Machine Learning, Applied Math

Convolutional neural networks for reduced-order modelling of transport phenomena in porous media

Transport phenomena in porous media govern the movement and storage of fluids in the subsurface, e.g., petroleum reservoirs, groundwaters, hydrogen underground storage and CO2 geological storage.

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Mohammad Sayyafzadeh

Advanced Materials, Chemical Engineering

Sustainable recycling of end-of-life electric vehicle batteries

Billions of lithium-ion batteries (LIBs) are reaching their lifetime along with the widespread application of electric vehicles.

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Professor Zaiping Guo and Dr Jianfeng Mao

Advanced Materials, Chemical Engineering

High energy metal batteries

The project aims to advance energy storage by developing high energy metal batteries (e.g. Li, Zn).

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Professor Zaiping Guo and Dr Jianfeng Mao

Advanced Materials, Chemical Engineering

Develop high-performance cathode materials for next-generation lithium-ion batteries

Lithium-ion batteries (LIBs) now become an indispensable part of our daily lives, powering various portable devices and electric vehicles.

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Professor Zaiping Guo and Dr Gemeng Liang

Advanced Materials, Chemical Engineering

Safe electrolytes for high-performance secondary batteries

This project aims to develop new safe electrolytes with desired physical and electrochemical properties for high-performance secondary lithium and zinc ion batteries.

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Professor Zaiping Guo and Dr Sailin Liu

 

Mechanical Engineering

Aerofoil dynamic stall and unsteady aerodynamics

Aerofoil dynamic stall impact the operation of wind turbines and flapping wing systems.

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Professor Maziar Arjomandi

Mechanical Engineering

Aerodynamics of distributed propulsion systems

Application of electric propulsion systems on an aircraft wing can generate an opportunity to improve the wing aerodynamic performance.

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Professor Maziar Arjomandi

Mechanical Engineering

Wind farm digital twin

In this project advanced modelling tools and large scale experiments will be utilised to develop a wind farm digital twin which can be used in optimisation of the wind farm operation.

Project available for: Mphil and PhD students

Professor Maziar Arjomandi

Mechanical Engineering

Wind turbine noise assessment

Wind turbine noise is partially associated with the blade-vortex interaction and operation of wind turbine blade at or near stall conditions.

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Professor Maziar Arjomandi

Mechanical Engineering

Development of membrane less flow electrolysers

In a conventional electrolyser the electrolyte is stationery and ions are separated using a membrane.

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Professor Maziar Arjomandi

Mechanical Engineering

Passive flow control using micro-perforation

It has been shown by the researchers at the University of Adelaide that application of micro-perforation on a surface can result in reduction of skin friction drag.

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Professor Maziar Arjomandi

Mechanical Engineering

Heliostat aerodynamics

In this project the wind load on a heliostat will be investigated using the University of Adelaide large wind tunnel and recently established Atmospheric Boundary Layer Research Facility at Roseworthy Campus, the University of Adelaide.

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Professor Maziar Arjomandi

Mechanical Engineering

Barely lodging and head loss

In this project micro-Instron machines and wind tunnel experiments will be used to investigate the effect of wind, temperature variation and humidity on barley stem lodging and head loss.

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Professor Maziar Arjomandi

Mechanical Engineering

Sand-based thermal energy storage system

Solar thermal energy can harvesting using a point- or line-focusing technology and stored in a sand storage. In this project to demonstrate the feasibility of this concept a lab scale sand storage will be developed and evaluated.

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Professor Maziar Arjomandi

Mechanical Engineering

Fluid mechanics of diseased coronary arteries

In this project in collaboration with the Royal Adelaide hospital the unique experimental facility at the micro-fluid mechanics laboratory at the University of Adelaide will be utilised to study the effect of a coronary artery stenosis on the blood flow features and artery wall.

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Professor Maziar Arjomandi

Mechanical Engineering

Fluid mechanics of the coronary artery slow flow phenomenon

In this project in collaboration with the Queen Elizabeth hospital the unique experimental facility at the micro-fluid mechanics laboratory at the University of Adelaide will be utilised to study the coronary artery slow flow phenomenon.

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Professor Maziar Arjomandi

Mechanical Engineering

Bubble drug delivery

Microbubbles can be sued to carry different drugs to a specific area of interest where they are exploded using ultrasound.

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Professor Maziar Arjomandi

Energy

Heavy Industry Low-carbon Transition (HILT) research projects

Project available for: Mphil and PhD students

Professor Maziar Arjomandi

Mechanical Engineering

Acoustic drug delivery

Acoustic drug delivery is an innovative method for targeted delivery of nebulised drugs to maxillary sinuses.

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Professor Maziar Arjomandi

Systems Engineering

Using digital engineering to improve the design, implementation and support of systems

The iPhD has been established by Boeing Defence Australia to support a full-time PhD student to undertake research in the field of digital engineering.

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Dr David Harvey

Genetic disorders

The neuronal lipidome in neurodegenerative disease

Neurodegenerative disorders encompass a plethora of individual conditions of varying etiologies representing a significant health burden in Australia.

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Maria Fuller

Genetic disorders

Bone disease in lysosomal storage disorders

Bone disease is a common feature of ageing and a number of genetic disorders.

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Maria Fuller

Chemical Engineering / Materials Science

Electrolyte optimization for aqueous zinc-ion batteries

The aqueous zinc-ion batteries (ZIBs) attract great interest because of their low cost and good safety features, regrading as one of the most promising candidates for large-scale energy storage technologies.

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Prof. Zaiping Guo

Chemical Engineering / Materials Science

Developing high-performance Lithium-carbon dioxide batteries

This project aims to composite ternary metallic single atoms dispersed onto N-doped carbon material (METAL-SAs-N-C) through pyrolyzing the zeolitic imidazolate frameworks containing METAL derivatives to improve the performance of Li-CO2 batteries, which will be expected to have a low overpotential (around 1V), ultrahigh cyclability (above 200 cycles), and high capacity (above 20, 000 mAh g-1).

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Prof. Zaiping Guo

Chemical Engineering / Materials Science

Crystal reconstruction of electrocatalysts in carbon dioxide reduction reactions

Restructuring-induced catalytic activity is an intriguing phenomenon of fundamental importance to rational design of high-performance catalyst materials.

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Prof. Zaiping Guo

Quantum Field Theory

Understanding the Nonperturbative Quantum Field Theory of Quantum Chromodynamics

This project develops an understanding of the phenomena emerging from the fundamental relativistic quantum field theory of the strong interactions, Quantum Chromodynamics (QCD).

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Professor Derek Leinweber

Pharmacogenomics

The pharmacogenomics of patients’ reaction to mood stabilisers (lithium and antidepressants)

This project aims to aim to study the biological mechanisms underlying response to mood stabilizers (lithium and antidepressants) and develop pharmacogenomic tests that can support clinical decision-making.

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Dr Azmeraw Amare

Genomics

Application of genomic sciences to Improve the Health of Culturally and Linguistically Diverse (CALD) people — Diversity Genomics

This project aims to build foundational work to facilitate breakthrough genomic research in of Culturally and Linguistically Diverse (CALD) populations by (i) uncovering population-specific genetic markers underlying complex diseases (ii) evaluating the trans-population applicability of existing and novel genetic tools and (iii) establishing an evidence base for future research in these populations.

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Dr Azmeraw Amare

Agriculture, Food and Wine, Veterinary sciences, Antibiotic-resistance

Cold plasma technology to secure food safety and improve animal welfare/p>

Salmonella species are the second most common bacterial cause of foodborne gastrointestinal disease, which can be life-threatening for vulnerable groups, especially children and the elderly.

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Dr Katharina Richter

Immunology and Infection, Applied sciences

Laser microneedle device to kill biofilms and viruses

Antibiotic-resistance is one of the greatest threats to human health, accounting for over 1.3 million deaths every year.

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Dr Katharina Richter

Genetic disorders

Gene therapy for inherited metabolic disorders

Gene therapy holds promise for treating single gene disorders by replacing the defective gene with a functional one.

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Maria Fuller

Data Science

Probabilistic conformance checking in event data analysis

Conformance checking (finding discrepancies between different users’ or information systems’ behaviours) is a challenging task and currently there is no exact solution that considers the stochastic perspective (the frequencies of events).

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Dr Anna Kalenkova

Data Science

Discovering process models from social network data

Social networks provide APIs that allow to gather information about users’ activities and analyse them.

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Dr Anna Kalenkova

Data Science

Analysis of time distributions in information systems’ event logs

Information systems record the history of their executions in a form of event logs.

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Dr Anna Kalenkova

Data Science

Fast algorithms for calculating limiting probabilities in Markov chains

 Fast algorithms for calculating limiting probabilities in Markov chains.

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Dr Anna Kalenkova

Data Science

Learning hidden Markov models from event data

Hidden Markov models are widely applied in different areas, such as biology and speech recognition, however, there is no algorithm for the discovery of hidden Markov models from event data within process mining techniques.

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Dr Anna Kalenkova

Data Science

Learning entropy rates using Recurrent Neural Networks (RNNs)

Entropy rate is a useful tool for the analysis of complexity of stochastic processes and is applied for the language analysis in practice.

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Dr Anna Kalenkova

Applied Mathematics

Integrating rifts and swell into the mathematics of ice shelf disintegration

The project will develop mathematical models of ice shelf vibrations in response to ocean waves, and use the model outputs to predict catastrophic ice shelf disintegration events.

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Dr Luke Bennetts

Biological Chemistry, Biochemistry, Medicinal Chemistry

Deciphering and exploiting steroid metabolism to combat disease

Steroid utilization for nutrition or steroid metabolism to generate critical chemicals (e.g. hormones) is a key feature of many species, including those of pathogenic bacteria which have evolved to survive in niche environments.

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Assoc. Prof. Stephen Bell

Biological Chemistry, Biochemistry

Deciphering the catalytic mechanisms of enzymes and their electron transfer pathways

Electron transfer processes, which control the flow of cellular energy, are fundamental for all living organisms.

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Assoc. Prof. Stephen Bell

Biological Chemistry, Biochemistry

Synthesis using Nature’s catalysts; enzymes

Microorganisms such as bacteria represent the most diverse branch of life being found in every environment on earth capable of supporting life.

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Assoc. Prof. Stephen Bell

Biological Chemistry, Synthetic Biology

Synthetic biology applications of enzymes

Synthetic biology can be used to combine different biological systems to achieve chemical outcomes.

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Assoc. Prof. Stephen Bell

Entomology, Animal Behaviour, Plant Protection, Applied Mathematics

Collective movement in locust hopper bands

This project will combine field and laboratory experiments with mathematical and computational modelling to understand how individual locust behaviour scales up to result in highly coordinated mass movement of up to millions of locusts.

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Dr Jerome Buhl

Entomology, Precision Agriculture, Computer Sciences

Improving detection, tracking and monitoring of agricultural pests and beneficials using drones, field robotics and machine learning

This projects aim to develop an innovative framework to automate the detection, tracking and monitoring of invertebrate biosecurity threats in the field using a combination of machine learning, drones and ground-based platforms (including robotics).

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Dr Jerome Buhl

Environmental Monitoring and Quantum Physics

Environmental Monitoring of 85Kr for Nuclear Naval Facilities

The recent AUKUS partnership will result in an increased presence of naval nuclear facilities and their support infrastructure in Australian harbors.

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Dr Rohan Glover and Prof. Andre Luiten

Environmental Monitoring and Quantum Physics

Optimized Laser Cooling for Atom Trap Trace Analysis (ATTA)

Atom trap trace analysis (ATTA) is a relatively new method for atom counting based on laser cooling.

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Dr Rohan Glover and Prof. Andre Luiten

Environment, Sustainability and Climate Change

Sustainable remote mining accommodation

This project will investigate how remote mining accommodation could be designed and built to be more sustainable than is currently the case.

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Dr. David Kroll, Dr. Ehsan Sharifi and Prof. Veronica Soebarto

Fish Ecology

Assessing movement and connectivity of Golden Perch to inform fishery management

This project aims to unravel the main source areas and reconstruct life history movements of the iconic golden perch in the Lower Lakes and Murray River.

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Prof. Bronwyn Gillanders and Dr Patrick Reis Santos

Climate Change

Colloidal Detachment and Technology for Fixing Reservoir Fines to prevent formation damage in injection wells during CO2 and Hydrogen storage: Laboratory Visualisation study

We developed a novel technology to fix reservoir fines during oil and gas production, in order to prevent and mitigate the induced formation damage.

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Prof Pavel Bedrikovetsky, Dr. Themis Carageorgos and Dr. Abbas Zeinijahromi

Climate Change

A Novel Method to Determine Relative Permeability for CO2 and Hydrogen storage by Coreflood

Recently ASPER’s team has developed a novel method for simultaneous determination of relative phase permeability and capillary pressure from core floods under condition of Co2 and hydrogen storage in aquifers and depleted gas fields.

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Prof Pavel Bedrikovetsky and Dr. Abbas Zeinijahromi

Climate Change

Analytical modelling of CO2 and hydrogen storage

Analytical modelling is a fast and effective reservoir engineering tool to predict CO2 and hydrogen storage in aquifers and depleted gas fields.

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Prof Pavel Bedrikovetsky and Dr. Abbas Zeinijahromi

Climate Change

Big Data Analytics for Climate Change Analysis

Climate science is a field focused on studying the large-scale changes in land, atmosphere, ocean, and weather conditions.

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Dr Faheem Ullah

Cyber Security

Machine Learning for Detecting Data Exfiltration Attacks

Data exfiltration is the process of retrieving, copying, and/or transferring data without authorization.

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Dr Faheem Ullah

Agriculture, Food and Wine; Computer Science

Analytics to bridge the gap between on-farm data and decisions

The digital agriculture revolution has led primary producers and their advisors to have more and more data at their disposal.

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Dr Matthew Knowling

Agriculture, Food and Wine; Computer Science; Global Food and Resources

Future-proofing agrifood supply chains

Effective design and management of agrifood supply chains is needed to achieve food security as well as desired economic outcomes.

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Dr Matthew Knowling and Dr Sajad Fayezi

Optics, Lasers and Photonics

Laser emission at the limit of glass transparency using nanocrystal doping

This project will create a new composite glass providing strong fluorescence which fully exploits the high transmission of glass in the mid-infrared.

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Prof. Heike Ebendorff-Heidepriem

Optics, Lasers and Photonics

Development of air-guiding optical fibres for sensing and light delivery

Hollow-core optical fibres, where the light is guided within an air-hole that runs along the length of the fibre are one of the more interesting recent developments in fibre research.

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Dr Erik Schartner and Prof Heike Ebendorff-Heidepriem

Optics, Lasers and Photonics

Digital Holographic Microscopy (DHM) for ultra-sensitive refractive index imaging

Microscopy techniques have been used for decades to try and understand what’s happening at a cellular scale, however traditional methods typically introduce new chemicals or labels which can interfere with the biological processes that you’re trying to measure.

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Dr Erik Schartner and Prof Kishan Dholakia

Optics, Lasers and Photonics

An optical fibre lightsheet – taking imaging in-vivo

Lightsheet microscopy is a more recent method that can create a three-dimensional image of cells or other small objects in a much shorter time and with less risk of damage than standard techniques.

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Dr Erik Schartner and Prof Kishan Dholakia

Optics, Lasers and Photonics

Precision measurement with optical speckle - Precision from disorder

The measurement of optical wavelengths using speckle is a promising tool for compact and precise wavemeters/spectrometers.

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Dr Chris Perrella

, Dr Erick Schartner, and Prof Kishan Dholakia

Optics, Lasers and Photonics

Quantum Imaging - Making an image with single photons

Often when imaging biological samples, the sample is deteriorated by high optical powers required to make high quality images.

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Dr Chris Perrella

, Dr Erick Schartner, and Prof Kishan Dholakia

Genomics / Gene Mutation / Molecular Biology / Blood Cancer Predisposition / Bioinformatics

Multiplex assay of variant effect (MAVE) to characterise the transcriptional activity of all possible missense variants in GATA2 and RUNX1

Since 2008, a major focus of the MPR lab has been to work with families with a predisposition to blood cancers with the aim to identify the causal gene/mutation to provide hope and help for management of family planning, disease surveillance, treatment choices and possible prevention measures.

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Prof. Hamish Scott and A/Prof. Christopher Hahn

Virtual Reality, Education, Science

Teaching Physics using virtual reality experiments

Researcher develops a suite of classic and modern physics experiments in VR and evaluated effectiveness as a teaching tool

Project available for: PhD students

Edward Palmer

Electrical and Electronic Engineering, Computer Science, Mathematical Sciences

Feature extraction and selection for the next generation of electricity price prediction in the National Electricity Market

Electricity price prediction is essential for wholesale market participants.

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Dr Ali Pourmousavi Kani

Electrical and Electronic Engineering, Computer Science, Mathematical Sciences

Application of codebook technique for privacy-preserving dimensionality reduction of electricity consumption data

Electricity smart meters can measure our consumption at sub-second intervals.

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Dr Ali Pourmousavi Kani

Electrical and Electronic Engineering, Computer Science, Mathematical Sciences

Data-driven digital twinning: Towards mining mobile fleet electrification

As part of the mining industry's efforts to reduce greenhouse gas emissions and costs and improve occupational health and safety, diesel vehicles are getting replaced with electric fleets.

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Dr Ali Pourmousavi Kani

Aging, Frailty and Mobility

Real-time falls monitoring in aged care

The purpose of this research aims to provide an automated solution to determine if an elderly person has fallen inside a bedroom or a bathroom.

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Lei Chen

Innovative Therapeutics

Online machine health monitoring

Rotary machine is widely used in modern industry, such as semi-autogenous grinding (SAG) mills.

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Lei Chen

Agriculture Food and Wine

In-situ soil sampling for precision agriculture

Australian future food security hinges on precision agriculture:

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Lei Chen

Electrical and Electronic Engineering

Dictionary learning for radar

Dictionary learning is a topic in signal processing that constructs a meaningful set of `atoms' to achieve sparse representations for a class of signals.

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A/Prof Brian Ng

Electrical and Electronic Engineering

Simulating radar data with machine learning

Radars are widely deployed to perform surveillance for civilian and military purposes.

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A/Prof Brian Ng

Architecture and Built Environment

Rapid Urban Greening to Address the Biodiversity Crisis

Globally, cities have promoted urban greening and urban forests as a way of increasing biodiversity, banking carbon, cooling, and promoting wellbeing.

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Dr Scott Hawken

Architecture and Built Environment

Smart Cities, Digital Twins and the Internet of Nature

Digital twins are precise, virtual copies used for testing and managing real world artefacts, machines, environments, and systems.

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Dr Scott Hawken

Architecture and Built Environment

Park Systems and Green Grids for Resilient, Biodiverse, Cities

Green infrastructure is an integral part of making future cities sustainable and resilient.

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Dr Scott Hawken

Optics, Lasers and Photonics

Paradigm shift in mid-IR fibre lasers

This project introduces a paradigm shift in 3.5µm mid-IR fibre lasers. A new laser process will be investigated to obtain high-power, simple and robust mid-IR fibre laser design.

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Dr. Ori Henderson-Sapir and Prof. David Ottaway

Climate Change; Agriculture, Food and Wine

Scenario-neutral climate assessment of agricultural systems

Understanding how agricultural systems will perform subject to a changing climate is a prerequisite to achieve sustainability.

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Dr Bree Bennett and Dr Matthew Knowling

Civil, Environmental and Mining Engineering

Ultrasonic guided wave technique for inspecting inaccessible area of structures

The project will develop a new technology for medium-range damage detection technique to inspect inaccessible areas of infrastructure.

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Professor Alex Ching Tai Ng

Civil, Environmental and Mining Engineering

Development of advanced actuation and sensing system for condition assessment of structures using nonlinear ultrasonic guided waves

This project will develop an advanced system and techniques for actuating and sensing ultrasonic guided waves.

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Professor Alex Ching Tai Ng

Medical Machine Learning

Explainable and Semantically Meaningful Deep Learning Models for Medical Risk Prediction and Diagnostics

In this project at the Centre for Augmented Reasoning we aim to build more robust and explainable abnormality prediction models.

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Johan Verjans

Medical Machine Learning

Building Causal Models for Predicting Treatment Outcome in Patients - Towards the Automated Bioinformatician

Deep learning has had significant interest in a multitude of medical applications.

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Johan Verjans

Psychology / Entrepreneurship

Entrepreneurs' mental health

Every year around 2–4% of adult population try their luck to become entrepreneurs.

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Professor Stephen Zhang

Psychiatry

Extracting objective measure from video interviews for remote psychiatric assessment

This project proposes to extract features of facial expressions, blink rate and speech from videos when psychiatric patients are being interviewed.

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Simon Hartmann

Cognitive Psychology, Genomics

Cognitive genomics: mapping the genetic architectures of cognitive functioning

Understanding of the genetic underpinnings of normal-range cognitive variation is an essential step in uncovering the biological bases of both healthy and impaired cognition.

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Dr Liliana Ciobanu

Early Gastrointestinal Tract Cancer Detection and Treatment

Diagnosis and treatment of Early Gastrointestinal (GI ) Tract Cancers

The research will focus on Endoscopic diagnosis and treatment of early cancer in the entire gastro intestinal tract including diagnosing diseases in the oesophagus, stomach, duodenum, biliary tree and colon using various novel Advanced Mucosal Imaging (including AI) tools.

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Professor Rajvinder Singh

Neuroscience, Behaviour and Brain Health

Amyloid precurson protein: Can we use the brains' own protective mechanisms to treat stroke?

This project will assess the efficacy of a novel therapy to improve outcomes following stroke in a clinically-relevant model.

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A/Prof Renee Turner

Neuroscience, Behaviour and Brain Health

The SPRINTS Project: Stroke – Prevention of Reperfusion Injury and Neuroinflammation – a Therapeutic Strategy

This project will assess the efficacy of the NK1 antagonist Befetupitant to treat reperfusion injury followings stroke.

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A/Prof Renee Turner

Neuroscience, Behaviour and Brain Health

Characterising secondary neurodegeneration and long-term outcomes following stroke.

This project will utilise a clinically-relevant stroke model to characterise the location and extent of secondary neurodegneration out ot 6 months following stroke, there with a particular emphasis on neuroinflammation.

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A/Prof Renee Turner

Neuroscience, Behaviour and Brain Health

Multi-agent hybrid teams

Humans will interact with artificial intelligence (AI) based agents to control systems, gather information and make inferences and decisions on the basis of this information.

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Prof. Anna Ma-Wyatt

Bioinformatics, Cancer Biology and Gene Regulation

Tackling Neuroblastoma using a multi-omics bioinformatics approach.

Neuroblastoma is a devastating and highly diverse childhood cancer that affects mostly children under 5.

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Dr Katherine Pillman and Prof. Greg Goodall

Bioinformatics, Cancer Biology and Gene Regulation

A bioinformatic approach to identifying circular RNAs that contribute to oncogenic kinase pathway activation

Many different circular RNA molecules (circRNAs) are present in all cells and tissues, but for the majority the function is unknown.

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Dr Katherine Pillman and Prof. Greg Goodall

Music Technology, Performing Arts, Virtual Reality

Rebooting the Muse: Post-COVID sustainability in the Performing Arts

Student will develop methods of creative practice  incorporating immersive technologies and/or networked performance, with an aim to find new modes of remote collaboration and distribution for the performing arts. 

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Dr Luke Harrald

Renewable Energy, Aerodynamics, Boundary Layer Turbulence, Mechanical Engineering

Heliostat dynamic behaviour in ABL turbulent field

This project aims to investigate dynamic behaviour of heliostat structural components under wind load in open country field environment.

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Dr Matthew Emes

Renewable Energy, Aerodynamics, Boundary Layer Turbulence

Heliostat component vibrations due to turbulent wind gusts

This project aims to analyse critical cases for peak load characterization methods on heliostat components due to turbulent wind gusts.

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Dr Matthew Emes

Early Gastrointestinal Tract Cancer Detection and Treatment

Diagnosis and treatment of Early Gastrointestinal (GI )Tract Cancers

The research will focus on Endoscopic diagnosis and treatment of early cancer in the entire gastro intestinal tract including diagnosing diseases in the oesophagus, stomach, duodenum, biliary tree and colon using various novel Advanced Mucosal Imaging (including AI) tools.

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Professor Rajvinder Singh

Advanced Manufacturing

Advanced manufacturing and characterization of dental materials for high reliability

Worldwide, many people require dental restorations due to tooth decay.

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Associate Professor Ling Yin

Mechanical Engineering

Rapid 3D printing of titanium alloys: Process-microstructure-property relations

Titanium alloys are widely used in defence, space and biomedical industries.

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Associate Professor Ling Yin

Mechanical Engineering

Mirror displacement due to atmospheric turbulence length scales

This project aims to instrument a structural mirror with accelerometers to analyse the displacement of the mirror surface and its relationship with turbulence length scales in the atmospheric boundary layer

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Dr Matthew Emes

Civil Engineering

Dynamic effects on a slender structure in a turbulent atmospheric flow

This project aims to investigate torsional galloping and flutter of an aeroelastic structural model in wind tunnel and atmospheric field experiments to characterise the influence of turbulence length scale on dynamic behaviour of small-scale slender structures in the atmospheric boundary layer.

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Dr Matthew Emes

Aerospace Engineering

Influence of centre of pressure on bending and torsional loads on flat plates

This project aims to analyse the impact of centre of pressure on horizontal and vertical directions on a flat surface and relationships with the bending and torsional moments on the supporting structure of a flat plate.

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Dr Matthew Emes

Biomechanics

Acoustic-mediated drug delivery to paranasal sinuses: A computational fluid dynamics (CFD) model

Chronic rhinosinusitis affects approximately 10% population worldwide.

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Oveis Pourmehran

Biomechanics

Virtual endoscopic sinus surgery (VESS) using computational fluid dynamics (CFD) model

Patients with acute chronic rhinosinusitis (CRS) should undergo endoscopic sinus surgery (ESS)using several different surgical methodologies.

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Oveis Pourmehran

Agriculture, Food and Wine, Omics and Sensory Science

Identifying links between inter-individual astringency and bitterness perception, and salivary proteome, genetics and oral-microflora using MassARRAY gene-profiling, novel phenotyping and segmentation bases, biophysical characterisation and new microbiome techniques.

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Assoc. Prof. Sue Bastian

Agriculture, Food and Wine, Entomology, Population Modelling

Modelling locust behaviour to improve hopper band detection and countermeasures

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Dr John Maclean

Agriculture, Food and Wine, Plant Biochemistry

Identification and characterisation of pectin biosynthesis enzymes with importance in food and wine production

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Associate Professor Jenny Mortimer

Agriculture, Food and Wine, Medical Biochemistry

Does sweet taste perception predict how the intestine absorbs glucose?

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Professor Amanda Page

Agriculture, Food and Wine, Yeast Biotechnology and Mathematical Modelling

Optimising the directed evolution of yeast strains for the wine fermentation process

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Associate Professor Ben Binder

Agriculture, Food and Wine, Yeast Biotechnology and Biofilms

Modelling growth and pattern formation in yeast biofilms

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Dr Edward Green

Agriculture, Food and Wine, Lactic Acid Bacteria Biotechnology

Improving Australian wine: Uncovering the mysteries of malolactic bacteria "the busy assistants of the wine cellar"

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Dr Krista Sumby

Agriculture, Food and Wine, Non-Yeast Fermentation

Assessment of novel non-Saccharomyces species in wild Australian fermentative niches

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Dr Krista Sumby

Agriculture, Food and Wine, Plant Architecture to Mitigate Climate Change

Exploiting new breakthroughs in regulation of root growth angle to engineer climate resilient

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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A/Prof. Bettina Berger

Agriculture, Food and Wine, Cell-Cell Communication in Yeast

How does yeast chatter influence cell morphology?

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Professor Vladimir Jiranek

Agriculture, Food and Wine, Crop Salinity

Establish the role of HKT in driving crop salinity tolerance and yield in a water limited environment

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Associate Professor Stuart Roy

Agriculture, Food and Wine, Signalling Compounds in Plant Growth

Molecular mechanism of root response to compacted soil in cereals

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Professor Dabing Zhang

Agriculture, Food and Wine, Plant Roots and the Search for Water

Characterisation of hydrotropism in crop plants using barley as a model system

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Dr Megan Shelden

Agriculture, Food and Wine, Orchard Soils and Almond Production

Using orchard recycling and soil organic amendments to improve productivity, soil carbon sequestration and reduce the environmental impacts of Australian almond production.

This project is offered through the Joint PhD scheme of the Adelaide-Nottingham Alliance, a strategic initiative of the University of Adelaide and the University of Nottingham.

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Dr Paul Petrie

Energy and Energy Resources, Chemical Engineering, Applied Mathematics, Petroleum Engineering, Fluid Mechanics

Underground hydrogen storage in sedimentary rocks - multi scale geochemical and bio-reactive transport modelling

Hydrogen is proposed as a low carbon, versatile and energy-dense fuel of the future that will be seen to drive transportation, heat our homes and provide power to many industrial applications.

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Mohammad Sayyafzadeh

Boundary Layer, Turbulence, Aerospace Engineering, Fluid Flows, Mechanical Engineering

Reducing friction drag on ships and aircraft

Drag reduction on aircraft and ships will lead to significant reductions in greenhouse gas emissions from transport sector.

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Azadeh Jafari

Boundary Layer, Turbulence, Aerospace Engineering, Fluid Flows, Mechanical Engineering

Porous surfaces for flow control and drag reduction

This project will investigate how surface porosity can be utilised to reduce friction drag on aircraft which will lead to reduced fuel consumption and greenhouse gas emissions.

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Azadeh Jafari

Boundary Layer, Turbulence, Aerospace Engineering, Fluid Flows, Mechanical Engineering

Turbulent drag reduction using micro-perforated surfaces

It has been shown by the researchers at the University of Adelaide that application of micro-perforations on a surface can result in reduction of turbulent drag.

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Azadeh Jafari

Boundary Layer, Turbulence, Aerospace Engineering, Fluid Flows, Mechanical Engineering

Passive control of turbulent boundary layer

This project will investigate passive control of turbulent boundary layer using periodic surface textures and perforations.

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Azadeh Jafari

Mechanical Engineering, Wind Engineering, Fluid Flows

Wind patterns over a farm

Head loss of barley plants is one of the major causes of yield loss in parts of Australia, particularly Western Australia and South Australia.

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Azadeh Jafari

Computational Fuid Dynamics, Biofluid Mechanics, Mechanical Engineering, Biomedical

Simulations for understanding blood flow in diseased arteries

The aim of this project is to investigate the mutual effect of coronary arteries on each other and on the progression of blockages in one of the arteries by developing a computational fluid dynamics model based on the patient-specific coronary arteries.

Project available for: Mphil and PhD students

Navid Freidoonimehr

Computational Fluid Dynamics, Biofluid Mechanics, Mechanical Engineering, Biomedical, Experimental Fluid Mechanics

Engineering to battle heart diseases

A blockage inside the coronary arteries leads to the development of atherosclerosis which can be deadly!

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Navid Freidoonimehr

Agriculture Food and Wine, Mechanical Engineering

Mechanical properties of barley stems

Head loss is one of the major causes of reduced barley yield in Australia.

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Navid Freidoonimehr

Computational Fuid Dynamics, Biofluid Mechanics, Mechanical Engineering, Biomedical

Investigation of the microvascular spasm of coronary arteries

In this project in collaboration with the Queen Elizabeth hospital, computational fluid dyynamics modelling and the unique experimental facility at the micro-fluid mechanics laboratory at the University of Adelaide will be utilised to study the mechanism underlying the microvascular spasm of coronary arteries.

Project available for: Mphil and PhD students

Navid Freidoonimehr

Chemical Engineering

Automated control of chromatographic purification of biopharmaceuticals and proteins

Chromatographic purification is the workhorse in the production of biopharmaceuticals such as vaccines, antibodies and food proteins.

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Lukas Gerstweiler

Agriculture Food and Wine

Precision fermentation - continuous biomanufacture of vegan milk proteins

Vegan alternatives to dairy products are in high demand.

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Lukas Gerstweiler

Marine Ecology, Fish Ecology, Conservation Ecology, Climate Change Ecology

Ecosystem impacts of fishes extending their ranges to higher latitudes along the east coast of Australia under climate change

This research project focuses on understanding how coral reef fishes are extending their ranges to higher latitudes along the east coast of Australia and what the consequences are for temperate fishes and ecosystems.

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Prof Ivan Nagelkerken

Marine Ecology, Fish Ecology, Conservation Ecology, Climate Change Ecology

Impacts of ocean acidification on fish and marine ecosystems

This project aims at gaining an understanding of how ocean acidification will affect the behaviour and physiology of fish species, how this could modify their population dynamics, and what the implications are for biodiversity.

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Prof Ivan Nagelkerken

Marine Ecology, Fish Ecology, Conservation Ecology, Climate Change Ecology

How will mangrove fishes respond to climate change in South Australia?

This research project focuses on understanding how mangrove fishes will respond to climate change by studying the distribution, behaviour and physiology of these fishes in the field and in the laboratory.

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Prof Ivan Nagelkerken

Aging, frailty and Mobility, Stroke, Biomedical Engineering

Brain-computer interfacing for neurofeedback training

This project aims to develop and apply non-invasive brain-computer interface technology for clinical and non-clinical applications.

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Mathias Baumert

Machine Learning, Signal Processing , Biomedical Engineering

Biomedical signal processing and machine learning in sleep research

This project aims to develop signal processing and machine learning technologies in sleep research.

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Mathias Baumert

Cardiovascular Health, Signal Processing, Biomedical Engineering

Making wearables clinical useful

This project aims to develop a framework for health tracking with wearables that facilitate the extraction of clinically useful health markers that can be implemented in health care data systems.

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Mathias Baumert

Plant Synthetic Biology

Application of CRISPR genome editing to produce a healthy legume.

Common vetch is a high protein, drought tolerant crop suitable for arid Australia however the seed accumulates two deleterious amino acids.

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Iain Searle

Microbiology Synthetic Biology and Biochemistry

Demonstrating DPT1 is a Bacillus dipeptidase using biochmical assays and genetic complementation.

We discovered a novel gene, DPT1, that is required by Bacillus subtilis to degrade an important dipeptide that is important for human health.

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Iain Searle

Renewable Energy, Biomedical Devices, Electronic Vehicle, Satellite System

An integrated power management module for power constrained electronic systems

Mobile applications are currently evolving at a very high rate and finding use in a wide range of applications such as electric vehicle, satellite and mobile devices.

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Dr Said Al-Sarawi

Aging, Frailty and Mobility and Evolutionary Biology / Conservation Genetics

Population Regulation, Fitness and the Evolution of Ageing

This project tests evolutionary theories of ageing. Positions for two HDR students are available.

Project available for: Mphil and PhD students

Jack da Silva

Dementia, Neurodegeneration, Genome Editing, Animal Disease Models, Multi-Omics, Bioinformatics

Understanding the genetic basis of childhood dementia and Alzheimer's disease

Alzheimer's disease takes decades to develop but we we cannot make detailed molecular analyses of living human brains.

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Michael Lardelli

AI, Human-AI Interaction, Responsible AI

Enabling equitable AI for health workers via multi-stakeholder collaboration

The advent of data-driven AI promises to empower knowledge workers to better make sense of a large amount of data, e.g., physicians conducting informed diagnoses with AI-assisted examination of medical data.

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Tim Chen

Electrical and Electronic Engineering, Biomedical Engineering, Mechanical Engineering, Photonics, Quantum Engineering, and Applied Physics

Biomedical integrated circuits for medical imaging and wearable health diagnostic

Integrations of complex electronic and photonic devices result in lighter, cheaper, and superior systems that transform the technologies in healthcare.

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Professor Nelson Tansu,A/Prof Mathias Baumert, Dr Jiawen Li, and Dr Andy Boes

Electrical and Electronic Engineering, Biomedical Engineering, Mechanical Engineering, Photonics, Quantum Engineering, and Applied Physics

Terahertz semiconductor lasers – intersubband quantum engineering

The pursuit of terahertz lasers is critical in addressing the needs of 6G communications, defence, biochemical, and medical applications.

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Professor Nelson Tansu, A/Prof Withawat Withayachumnankul, Dr Andy Boes

Electrical and Electronic Engineering, Mechanical Engineering, Photonics, Quantum Engineering, and Applied Physics  

Terahertz semiconductor lasers – intersubband quantum engineering

The pursuit of terahertz lasers is critical in addressing the needs of 6G communications, defence, biochemical, and medical applications.

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Professor Nelson Tansu, A/Prof Mathias Baumert, Dr Jiawen Li, and Dr Andy Boes

Electrical and Electronic Engineering, Mechanical Engineering, Photonics, Physics, Quantum Engineering, and Biomedical Engineering

Ultrashort pulsed lasers applications in biomedical and nanomanufacturing

The progress of ultrashort pulsed lasers with high power density is critical for discovering new physical properties under extreme conditions.

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Professor Nelson Tansu and Professor Miftar Ganija

Electrical and Electronic Engineering, Mechanical Engineering, Semiconductors, Quantum Engineering, Applied Physics, Photonics, and Artificial Intelligence  

Emerging ultrawide bandgap semiconductors for power electronics, renewable energy, biomedical integrated circuits, and micro/nanoelectromechanical systems.

Ultrawide bandgap semiconductor, in the form of group III-nitride semiconductors, has been one of the most successful material innovations in the past decade resulting in technologies being used in society today.

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Professor Nelson Tansu, and Dr Petar Atanackovic

Electrical and Electronic Engineering, Mechanical Engineering, Semiconductors, Quantum Engineering, Photonics, Applied Physics, and Artificial Intelligence

Machine learning and artificial intelligence engineering for semiconductor materials, devices, and systems accelerated designs

Machine Learning for accelerating the material discoveries and device innovations will be an important game-changing new direction. 

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Professor Nelson Tansu, and Professor Derek Abbott

Electrical and Electronic Engineering, Mechanical Engineering, Semiconductors, Quantum Engineering, Photonics, and Applied Physics

High power semiconductor lasers - photonics, quantum materials, and quantum electronics

This project aims at the development of high-power semiconductor lasers used for defence, sensors (LIDAR), telecommunications, smart electronics, and biomedical applications.

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Professor Nelson Tansu, and Dr Dominic Lane

Geology, Computer Science, Physics, Mining

Cross-borehole seismic interferometry to interpolate rock mass and geometallurgical variables

This project is part of the ARC Training Centre for Integrated Operations for Complex Resources (www.iocr.com.au (HDR1)) using fibre optic seismic sensor strings in drill-holes to predict rock properties.

Project available for: PhD students

Dr Mark Bunch

Geology, Computer Science, Data Analytics, Mining, Machine Learning

Linking the resource to down-stream products

This project is part of the ARC Training Centre for Integrated Operations for Complex Resources (www.iocr.com.au (HDR16)) developing an integrated knowledge-based system based on data analytics, stochastic predictive modelling and machine learning that is being used for the monitoring, performance assessment and prediction of the mining and processing operations to contribute to optimising the entire value chain from mine to the final product.

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Associate Professor Chaoshui Xu

Energy and Energy Resources, Mechanical Engineering, Photonics and Applied Physics

Advanced laser diagnostics for particle flows

This project is aimed to advance the understanding of the aerodynamics, clustering and agglomeration processes of micro-particles in turbulent flows using advanced laser diagnostics techniques.

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Professor Graham Nathan, Dr Zhiwei Sun, and Dr Rey Chin

Energy and Energy Resources, Mechanical Engineering, Chemical Engineering, Photonics and Applied Physics

Advanced laser diagnostics for natural gas pyrolysis

This project is aimed to, by the use of advanced laser diagnostics, understand the mechanisms that governs the low-cost hydrogen production from natural gas pyrolysis with net-zero CO2 emissions.

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Professor Graham Nathan, Dr Zhiwei Sun, and Dr Mehdi Jafarian

Energy and Energy Resources, Mechanical Engineering, Chemical Engineering, Photonics and Applied Physics

Advanced optical diagnostics and CFD modelling for 'new' hydrogen flames

This project is aimed to develop a new combustion technology of utilising hydrogen as further fuel in heavy industries, aiming to reduce carbon and pollution emissions.

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Professor Graham Nathan; Dr Zhiwei Sun, Dr Zhao Tian, and Dr Alfonso Chinnici