Faculty of Science 3

Outstanding Doctoral Thesis Award

WEGERT, Zachary James

Thesis Title

Methodologies for Level Set-Based Topology Optimisation with Application to Piezoelectric Material Design

Supervisors

• Associate Professor Vivien Challis (Principal Supervisor)
• Professor Anthony Roberts (Associate Supervisor)
• Dr Tirthankar Bandyopadhyay (External Supervisor)
• Dr Josh Pinskier (External Supervisor)

Citation

Shape and topology optimisation enable the design of material layouts to give improved mechanical or other properties subject to physical constraints. These computational techniques are relevant to a wide range of industrial applications and have a substantial mathematical foundation. The thesis aims to advance and improve the accessibility of computational techniques for level-set topology optimisation and apply the developed techniques to the design of extreme piezoelectric metamaterials. The thesis provides theoretical contributions to optimisation algorithms, efficient numerical methods, and shape calculus. It also provides new insights into piezoelectric metamaterial design for engineering applications.

Doctor of Philosophy

AHMADI, Sahar

Thesis Title

Optimising Remote Sensing to Spatially Predict Above-ground Biomass and Soil Organic Carbon at Field Scale in Subtropical Grasslands

Supervisors

• Professor David Rowlings (Principal Supervisor)
• Dr Elaine Mitchell (Associate Supervisor)
• Dr Mark Bonner (Associate Supervisor)
• Professor Peter Grace (Associate Supervisor)

Citation

Grasslands are important for storing carbon, but measuring soil organic carbon (SOC) is difficult due to high variability and costly sampling. This research evaluated whether satellite remote sensing, combined with field observations, can improve estimation of above-ground biomass (AGB) and SOC in subtropical grasslands of Queensland. Results showed that integrating satellite data with visual pasture assessment and stratification approach improves SOC prediction and reduces uncertainty. Satellite-only models provided moderate accuracy and can support large-scale monitoring. Overall, this study demonstrates a cost-effective approach for carbon estimation and supports improved sampling strategies for carbon-credit projects and sustainable land management.

AHMED, Fathima Zuba

Thesis Title

Forward Genetic Screening in Nicotiana benthamiana to Unravel Genes Responsible for Successful Anthocyanin Production

Supervisors

• Dr Satomi Hayashi (Principal Supervisor)
• Dr Jiyuan An (Associate Supervisor)
• Professor Peter Waterhouse (Associate Supervisor)
• Dr Julia Bally (Associate Supervisor)
• Adjunct Professor Chris Winefield (External Supervisor)

Citation

This thesis addressed limitations in the use of Nicotiana benthamiana for forward genetics arising from its large, polyploid genome by developing a high-throughput trait mapping and gene discovery workflow. Using two genetically and phenotypically distinct accessions, LAB and QLD, the study investigated their contrasting responses to anthocyanin induction by integrating genetic crosses, bulk segregant analysis, genome sequencing and transcriptomics. The detrimental LAB response was mapped to a genomic region containing a leucoanthocyanidin dioxygenase gene, which was functionally validated by complementation. This work demonstrates that forward genetics can be applied effectively in N. benthamiana, enabling gene discovery despite its genomic complexity.

AHMED, Muhammad

Thesis Title

Computational Discovery and Design of High Performance Electrocatalyst for Clean Energy via Hydrogen Evolution Reaction

Supervisors

• Professor Aijun Du (Principal Supervisor)
• Professor Ziqi Sun (Associate Supervisor)

Citation

This thesis employs advanced computational methods, particularly density functional theory (DFT), to discover and design electrocatalysts for clean and renewable energy generation via the hydrogen evolution reaction (HER). Through detailed electronic structure analysis and thermodynamic modelling, the study investigates the catalytic behavior of materials such as carbon nanotubes, single-atom catalysts, metal–organic frameworks, and co-doped systems. The research provides fundamental insights into reaction mechanisms and adsorption energetics, demonstrating the power of computational screening in guiding the development of next-generation hydrogen-based technologies.

ALZUBAIDI, Fatimah Mohammed A

Thesis Title

Novel Analytical Platforms for Sensing Bioactive Molecules at Ultra Trace Level

Supervisors

• Associate Professor Emad Kiriakous (Principal Supervisor)
• Professor Prashant Murlidhar Sonar (Associate Supervisor)
• Professor Godwin Adefikayo Ayoko (External Supervisor)

Citation

Bioactive molecules such as proteins and heavy metal ions are of great concern due to their effects on human health, driving the need for sensitive and reliable analytical detection methods. This research focuses on developing novel sensing materials and platforms for detecting environmental pollutants and proteins using colourimetric, fluorescence, and surface-enhanced Raman spectroscopy (SERS) techniques. A new diketopyrrolopyrrole dye (DPPT-PhSMe) and an isoindigo-based sensor (II-MT) were developed for selective and accurate Cr(VI) detection in water. Additionally, a label-free SERS paper sensor detected the cancer biomarker S100P with high sensitivity, demonstrating high potential for early cancer diagnosis.

ANDREWS, Katherine Elizabeth

Thesis Title

What is the Role of Ghrelin in Equine Appetite and Insulin Dysregulation?

Supervisors

• Professor Melody de Laat (Principal Supervisor)
• Professor Martin Sillence (Associate Supervisor)

Citation

This thesis investigated the relationship between appetite and the metabolic disorder insulin dysregulation, which can lead to a painful disease of the hoof in horses and ponies. The research undertaken discovered individual animal variation in appetite that could predispose to disease risk; and identified associations between the appetite hormone ghrelin and breed, measures of hunger, and of satiation. Animals diagnosed with insulin dysregulation had lower circulating ghrelin concentrations than their healthy counterparts, indicating that appetite regulation may be an important factor in insulin dysregulation in horses and ponies.

ASADYAR, Leila

Thesis Title

Drought Survival Strategies of Nicotiana benthamiana

Supervisors

• Professor Peter Waterhouse (Principal Supervisor)
• Dr Felipe Fenselau de Felippes (Associate Supervisor)
• Professor Stephen Blanksby (Associate Supervisor)
• Dr Julia Bally (Associate Supervisor)

Citation

This study uncovered dramatically different survival strategies to water deprivation within the same species of an Australian native plant, Nicotiana benthamiana. One strain, from central Australia, has evolved the drought escape strategy of early vigour and short life cycle, with little responsiveness to water scarcity. In contrast, an accession from Queensland, responds to water scarcity by slowing its growth rate, inhibiting flowering, and altering its cuticular wax composition under the control of the previously unrecognised transcription factor (NbMYB6) to minimise water loss. This prolongs the plant’s capacity to survive without water until follow-up rainfall supports further growth and rapid flowering.

BORA, Adriana-Eufrosina

Thesis Title

Artificial Intelligence for Analysing and Benchmarking Corporate Modern Slavery Statements

Supervisors

• Adjunct Professor Kerrie Mengersen (Principal Supervisor)
• Adjunct Professor Melissa Bull (Associate Supervisor)

Citation

Modern slavery affects millions of people and is often hidden within corporate supply chains. Modern slavery laws require companies to publish statements on the actions they take to address these risks, but the growing number of statements makes manual review difficult and limits accountability. This thesis develops and applies artificial intelligence to analyse, benchmark, and strengthen disclosure assessment. It creates large annotated datasets, fine-tunes and benchmarks language models, and builds tools for compliance checking, cross-jurisdictional analysis, and quality assessment. The findings show how AI can support policymakers, regulators, civil society, and investors through more scalable, transparent, and evidence-based reviews.

CAO, Tianyi

Thesis Title

High-Performing Flexible Thermoelectric Materials and Devices for Near-Room-Temperature Applications

Supervisors

• Professor Zhigang Chen (Principal Supervisor)
• Professor Jennifer MacLeod (Associate Supervisor)
• Dr Xiaolei Shi (Associate Supervisor)

Citation

This thesis explores high-performance flexible thermoelectric materials, focusing on n-type Ag2Se and Ag2Te thin films for near-room-temperature applications. A hybrid synthesis approach combining physical vapor deposition with wet-chemical selenization/tellurization was developed to optimize microstructures. Key strategies, including Indium doping in Ag2Se and controlling residual Ag in Ag2Te, effectively decoupled the trade-off between carrier concentration and mobility. These methods achieved ultrahigh electrical conductivity and a record-breaking power factor in flexible films. Finally, integrated flexible thermoelectric generators demonstrated superior power density and mechanical durability, highlighting the potential of these materials for sustainable wearable electronics and self-powered sensors.

CHIU, Wei-Hsun Michael

Thesis Title

Optimisation of Inorganic Metal Halide Perovskite for Stability and Optoelectronic Applications

Supervisors

• Professor Hongxia Wang (Principal Supervisor)
• Professor Deepak Prakash Dubal (Associate Supervisor)
• Dr Chao Zhang (Associate Supervisor)

Citation

Perovskite solar cells promise low cost, high efficiency electricity, but they often degrade too quickly. This thesis develops rapid heating strategies and clever use of ambient air to strengthen their structure and extend device lifetime. By uncovering how heat and temperature cycling affect charge transport and degradation, the work provides a roadmap for building robust perovskite solar modules that can meet industrial standards and help accelerate the global transition to renewable energy.

DE ALWIS, Kudachchige Asanga Geethanjana

Thesis Title

Mitigating Parasitic Reactions, Enabling Lean Anodes, and Greening Cathodes in Aqueous Zn-Ion Batteries

Supervisors

• Distinguished Professor Dmitri Golberg (Principal Supervisor)
• Dr Joseph Fernando (Associate Supervisor)
• Dr Konstantin Faershteyn (Associate Supervisor)
• Dr Chao Zhang (Associate Supervisor)

Citation

This thesis introduces a sustainable material-to-cell engineering framework to accelerate the commercialization of aqueous zinc-ion batteries (AZIBs) for grid-scale energy storage. To overcome foundational degradation modes, three interconnected pillars were developed: (1) an ultrathin mixed-conducting Ti3C2Tx MXene-carbon fibre protector to regulate interfacial electric fields and suppress out-of-plane dendrites; (2) an industrially scalable, materials-lean 3D anode fabricated via aerosol cold-spraying to maximize active mass utilization; and (3) an expanded, pillared bilayered V2O5 nanostrand cathode processed with water-borne, fluorine-free binders to eliminate manufacturing toxicity. Collectively, these strategies satisfy strict cell-level grid criteria without compromising environmental safety.

DE SILVA, Dilishiya Kalpani

Thesis Title

New Methods in Bayesian Design for Monitoring Submerged Shoals Off the Coast of Western Australia

Supervisors

• Professor James McGree (Principal Supervisor)
• Professor Mery Thompson (Associate Supervisor)
• Dr Rebecca Fisher (External Supervisor)

Citation

This PhD thesis develops advanced statistical methods within a Bayesian design framework to enable deeper parts of reefs to be efficiently and effectively monitored. This research addresses three main objectives: (1) Develop model-robust Bayesian design methods to optimise sampling under model uncertainty; (2) Advance Bayesian design in spatio-temporal settings via variational approximations for efficient computation; and (3) Develop a framework to leverage information from data-rich reefs to monitor data-poor reefs. Collectively, these contributions to the Bayesian design literature enable robust and efficient designs to be found and used for sustainable monitoring and management of our deeper reef ecosystems.

FORREST, Scott William

Thesis Title

Predicting Animal Movement with Flexible Statistical Models and Deep Learning

Supervisors

• Professor Michael Bode (Principal Supervisor)
• Professor Christopher Drovandi (Associate Supervisor)
• Dr Andrew Hoskins (External Supervisor)
• Dr Daniel Pagendam (External Supervisor)

Citation

This thesis presents statistical tools to improve the prediction of animal movement. Animal movement was modelled using statistical models that captured periodic behavioural patterns, as well as deep learning, both of which can generate individual-based simulations. We also present a conceptual framework for predictive movement ecology, where these models can be used for a range of scientific and conservation management purposes. The concepts and models could be used for a range of species, but here were applied to tracking data of introduced water buffalo and feral cattle in northern Australia, thereby providing valuable information for land managers.

GRANT, Patrick Stephen

Thesis Title

Modelling Moisture Migration and Swelling in Engineered Wood Products

Supervisors

• Associate Professor Qianqian Yang (Principal Supervisor)
• Dr Steven Psaltis (Associate Supervisor)
• Dr Maryam Shirmohammadi (External Supervisor)
• Emeritus Professor Ian Turner (External Supervisor)

Citation

This research focused on developing a comprehensive macroscopic model for describing the moisture-induced swelling stresses within radiata pine glue-laminated engineered wood products. An image-based mesh generation algorithm was created to generate a three-dimensional virtual representation of the product that captures the heterogeneous structure of timber. This representation was then used to simulate the moisture migration and heat transfer processes throughout the product and a transfer coefficient for the glue line was determined. The swelling stresses were then computed and points of failure identified. The model was then demonstrated by predicting delamination in a variety of climates and wetting scenarios.

HU, Boxuan

Thesis Title

Development and Optimization of High-Performance Mg3Bi2-Based Thermoelectric Materials for Near-Room-Temperature Applications

Supervisors

• Professor Zhigang Chen (Principal Supervisor)
• Dr Xiaolei Shi (Associate Supervisor)

Citation

This thesis explores flexible Mg-based thermoelectric materials as sustainable, low-cost, and biocompatible alternatives to traditional Bi2Te3. Utilizing magnetron sputtering and ex-situ annealing, the research achieves record-high power factors (S2s) in n-type Mg3Bi2and p-type Mg3(Sb,Bi)2 thin films. These films demonstrate exceptional mechanical durability, retaining performance over 1,000 bending cycles. By optimizing bismuth content, p-n junction devices were fabricated, proving effective for wearable energy harvesting. Additionally, an innovative melt-synthesis strategy enhances bulk production scalability. Overall, the work establishes a robust framework for integrating high-performance magnesium-based thermoelectrics into the next generation of flexible electronics and commercial power systems.

JAMES, Kyle Edward

Thesis Title

Developing Bioactive Polymers Derived from Brown Algae

Supervisors

• Dr Lalehvash Moghaddam (Principal Supervisor)
• Professor Ian O'Hara (Associate Supervisor)
• Professor Prashant Sonar (Associate Supervisor)
• Professor Yvonne Barner (Associate Supervisor)

Citation

Although plastic use plays a crucial role in food packaging applications, these plastics pose significant concern due to the persistence of plastics in the environment and their subsequent accumulation. By developing a polymer from brown algal species, there is potential offset plastics as food covering agents, whilst also utilising bioactive components within brown algae to increase food safety and stability. This thesis explores an integrated design approach to develop brown algal derived polymers, from polysaccharide extraction, to film formation, and subsequent silicate functionalisation procedures to develop polymers aimed at offsetting plastic use for existing food covering applications.

JAYETILEKE, Harshanie Lakshika

Thesis Title

Bias, Bias Reduction and Implications in Predictive Regression

Supervisors

• Professor You-Gan Wang (Principal Supervisor)
• Dr Jerry Chienwei Ho (Associate Supervisor)
• Dr Min Zhu (External Supervisor)

Citation

Predictive regression models are often used to forecast future possibilities of a given finance variable. For that, we rely on statistical inference: estimation and hypothesis testing. Inaccurate estimation results make inaccurate inference for a scientific question. So, it is important to develop methodologies to reduce the bias in the estimation providing a sounder basis for statistical inference. Hence, the contribution of this research is to deliver more reliable estimators in terms of bias and the level of persistence of the predictor variable, and to develop a corresponding inferential framework with time-series and longitudinal data.

JOHNSON, Amanda Ruth

Thesis Title

Comparative functional analysis of FT, TFL1 and FD homologs reveals conserved flowering pathways in avocado, macadamia and mango

Supervisors

• Dr Stephanie Kerr (Principal Supervisor)
• Dr Erika Varkonyi-Gasic (External Supervisor)
• Professor Peter Prentis (Mentoring Supervisor)

Citation

This thesis investigates the flowering regulators FT, TFL1, and FD in avocado, macadamia, and mango, three economically important perennial fruit crops with poorly understood flowering behaviour. Homologs were identified, characterised, and analysed using phylogenetics, expression profiling, promoter analysis, protein interaction studies, and Arabidopsis complementation assays. Results showed that the FT–FD–TFL1 flowering module is broadly conserved, while gene duplication and divergence have led to species-specific functional specialisation. Key floral inducer candidates were identified, including PaFT in avocado, MiFT5 in macadamia, and MaFT4 in mango. These findings improve understanding of flowering regulation and provide future crop improvement strategy potential targets.

LARIN, Astrid Christina Rosalie

Thesis Title

Nitroxide Hybridised Redox-Active Therapeutic Agents

Supervisors

• Professor Kathryn Fairfull-Smith (Principal Supervisor)
• Dr Nathan Boase (Associate Supervisor)

Citation

Oxidative stress, caused by an imbalance between reactive oxygen species and antioxidants, is a key driver of cell death and the progression of many chronic diseases. At the same time, oxidative stress plays a vital role in the immune defence by destroying pathogens. The ability to prevent or induce oxidative stress has been presented as an advantageous therapeutic target to tackle critical healthcare burdens in today’s world. This thesis explores the design, synthesis and evaluation of nitroxide-hybridised antioxidant and pro-oxidant agents to manipulate the cellular redox environment.

LEWIS, Courtney-Elyce May

Thesis Title

Strategies for Reduced Processing Cost in Remanufactured Nickel Manganese Cobalt Lithium-Ion Battery Cathodes

Supervisors

• Distinguished Professor Dmitri Golberg (Principal Supervisor)
• Dr Joseph Fernando (Associate Supervisor)
• Associate Professor Joshua Watts (Associate Supervisor)
• Dr Michael Horn (Associate Supervisor)

Citation

Battery performance using high-purity, nickel-based cathode active materials is impaired when made from recycled feedstocks containing copper, iron, and other contaminants introduced during the recycling process. This work produces a reduced-cost pathway for cathode active material synthesis able to exclude much of the problematic copper which resulted in cell performance competitive with commercial benchmarks. It demonstrates a vertically-integrated refining and remanufacturing process able to create commercially viable cathode active materials from recycled lithium-ion batteries.

LIU, Zixuan

Thesis Title

Designing Functional Supramolecular Glasses through Dynamic Molecular Assembly

Supervisors

• Professor Jingsan Xu (Principal Supervisor)
• Professor Dongchen Qi (Associate Supervisor)

Citation

This thesis explores a new class of glass made from small molecules that assemble through dynamic interactions, rather than the strong chemical bonds found in traditional glass. By designing different supramolecular glass systems, this research demonstrates materials that are transparent, processable, adhesive, and responsive to moisture. These glasses can be shaped into films, fibres, and coatings, and can also support light emission and self healing behaviour. The findings provide new understanding of how molecular assembly can be used to create functional glass materials for future optical, coating, and advanced manufacturing applications.

LONG, Hao

Thesis Title

Investigation of Bcl-2 3' UTR-driven Plant Stress Tolerance Through MicroRNA and RNA Interference

Supervisors

• Associate Professor Brett Williams (Principal Supervisor)
• Dr Sudipta Shekhar Das Bhowmik (Associate Supervisor)
• Dr Jiyuan An (Associate Supervisor)
• Dr Nipuni Thanthrige (External Supervisor)
• Professor Sagadevan Mundree (External Supervisor)

Citation

This research addresses the critical need for climate-resilient crops by investigating the regulatory potential of the human Bcl-2 3' untranslated region in plants. The study successfully identified small RNAs that activate survival pathways and suppress plant programmed cell death, offering a novel mechanism for enhancing environmental stress tolerance in crops. By bridging human genetics and plant biotechnology, these findings provide a cross-kingdom framework for engineering high-yield, robust agricultural systems. This work directly supports UN Sustainable Development Goal 2 (Zero Hunger) by refining biopharming strategies and securing future food production under global climate stress.

MAGGONA GURUNNANSELAGE, Rangika Madushani Perera

Thesis Title

Mapping Lipid Diversity in Biological Systems Through Advanced Mass Spectrometry Technologies

Supervisors

• Professor Stephen Blanksby (Principal Supervisor)
• Associate Professor Sonia Henriques (Associate Supervisor)

Citation

The arrangement of a single lipid molecule can mean the difference between a healthy cell and a cancerous one. This thesis reveals a hidden layer of complexity within biological membranes using advanced mass spectrometry. Resolving previously indistinguishable lipid isomers, it demonstrates how yeast reshuffles membrane lipids to survive temperature shifts, how cancer cells display unique lipid signatures not seen in healthy cells, and why common blood biomarkers require deeper scrutiny. These discoveries transform our understanding of lipid biology, showing that precise molecular arrangement matters for adaptation, disease, and diagnosis. The analytical tools developed here open pathways toward more personalised medicine.

MAHENDRAN, Amalan

Thesis Title

New Methods in Experimental Design for Subsampling Big Data

Supervisors

• Professor James McGree (Principal Supervisor)
• Professor Mery Thompson (Associate Supervisor)

Citation

This thesis develops novel subsampling methods to address challenges in big data analysis. It proposes experimental design-based techniques that overcome key limitations of existing subsampling approaches by allowing multiple models and accounting for potential model misspecification. The benefits are demonstrated through simulation and real-world applications where improved efficiency and precision in parameter estimation are observed. The proposed methods provide a scalable and rigorous framework for analysing complex, high-dimensional data. This research advances experimental design and promotes model-robust subsampling for more reliable data-driven decision-making. The developed methods are implemented via the R package NeEDS4BigData, supporting practical applications across big data settings.

NAJIMUDDIN, Fathima Nushrath

Thesis Title

Improving the Understanding of Avocado Fruit Growth Through Experimental Design and Predictive Models

Supervisors

• Professor James McGree (Principal Supervisor)
• Professor Mery Thompson (Associate Supervisor)

Citation

This thesis develops Bayesian modelling and optimal experimental design methods for fruit growth studies, focusing on Hass avocado production in Australia. It combines flexible growth models with Bayesian decision-theoretic approaches to improve fruit sampling strategies and support efficient prediction of fruit growth under practical resource constraints. The models developed in this thesis were applied to avocado fruit growth data collected in Western Australia over three consecutive growing seasons. This was one of the first studies to quantitatively characterise avocado fruit growth under Australian conditions while accounting for variability between trees, orchard position, and growing season.

NGO, Thi Hong Nga

Thesis Title

Investigating Nano-structured Metal Oxides Incorporated with IrO2 for the Oxygen Evolution Reaction

Supervisors

• Professor Anthony O'Mullane (Principal Supervisor)
• Associate Professor James Riches (Associate Supervisor)

Citation

The research focused on improving water splitting technology, an important method for producing clean hydrogen fuel from renewable energy. A key challenge is developing durable and efficient catalysts for the oxygen evolution reaction. The thesis investigated iridium oxide (IrO2), a leading catalyst, and enhanced its performance by incorporating small amounts of barium, copper, and lead. These modified materials demonstrated significantly greater stability and activity in acidic, neutral, and alkaline environments. The findings provide practical strategies for designing longer-lasting, high-performance catalysts, helping advance more efficient, reliable, and sustainable hydrogen production for future clean energy systems.

OLIVER, Dylan John

Thesis Title

Computational and Analytical Methods for Advection-Diffusion-Reaction Processes in Heterogeneous Media

Supervisors

• Dr Elliot Carr (Principal Supervisor)
• Dr Riley Whebell (Associate Supervisor)
• Emeritus Professor Ian Turner (External Supervisor)

Citation

Mathematical equations that describe mass transport through heterogeneous materials are highly complex and difficult to solve. This thesis details the development of some novel computational and analytical methods for solving such equations in an accurate and efficient way. In real-world scenarios, such as chemical contamination in aquifers, it is common for heterogeneity to occur over both small and large length scales. Accordingly, this thesis develops a new computational solution method for simultaneously obtaining solutions at both length scales and a new analytical solution method for upscaling certain parameters from small to large length scales.

PASCAL, Luz Valerie

Thesis Title

Optimal Development and Deployment of New Technologies for Ecosystem Conservation

Supervisors

• Professor Kate Helmstedt (Principal Supervisor)
• Dr Matthew Adams (Associate Supervisor)
• Dr Iadine Chades (External Supervisor)

Citation

This thesis tackles the problem of planning the development and deployment of new technologies for the preservation of ecosystems. I use optimization techniques to find the best way to allocate resources for technology development and to plan the deployment of new technologies to manage an ecosystem. I study different levels of complexities such as the uncertain success of technology development, the uncertain effect of technology deployment on an ecosystem and the effect of climate change.

PATTERSON, Charlotte Ruby

Thesis Title

Predictive Spatial Ecology for the Conservation of Antarctica's Life on Land

Supervisors

• Associate Professor Justine Shaw (Principal Supervisor)
• Professor Kate Helmstedt (Associate Supervisor)

Citation

Protecting Antarctica's ecosystems in a changing world requires detailed and timely knowledge of the continent’s biodiversity. Predictive spatial ecological models can enhance the value of available and emerging Antarctic biological data but are currently underutilised on the continent. This thesis aims to advance the prediction of Antarctic species distributions in space and time to improve the conservation of Antarctica’s life on land. I achieve this by addressing barriers to the widespread uptake of predictive models in Antarctica.

PEELIKUBURAGE, Bayan Gazil Dhanushka

Thesis Title

Advanced Nanomaterials Enabling Clean Manufacturing via Sustainable and Photoswitchable Photocatalysis

Supervisors

• Professor Eric Waclawik (Principal Supervisor)
• Associate Professor Wayde Martens (Associate Supervisor)

Citation

This thesis presents the development of nanomaterials that enable solar-driven chemical reactions to occur through visible light photocatalysis. Copper and gold based nanocatalysts, including Au–Co alloy nanoparticles, were engineered offering a greener and environmentally friendly approach to chemical synthesis. A novel organic thiol-based photocatalytic reaction was also reported for the first time. The findings contribute to next generation photocatalysis and sustainable technologies, offering viable solutions for green manufacturing and energy efficient chemical production. The work aligns with global innovation goals in nanocatalysis, clean energy utilisation, and the application of advanced materials for a low carbon future.

POLLEY, Bryce Ronald William

Thesis Title

Operational Decisions in Complex Systems: A Case Study in Australian Winegrowing

Supervisors

• Adjunct Professor Kerrie Mengersen (Principal Supervisor)
• Professor Kate Helmstedt (Associate Supervisor)
• Dr Madeline Mitchell (External Supervisor)
• Dr Mardi Longbottom (External Supervisor)

Citation

Australian wine growers have faced mounting challenges from climate change, water scarcity, and volatile markets. This research explores how to help balance the environmental and economic elements of sustainability; using industry data and expert knowledge, the research develops statistical models to understand how different vineyard practices effect viticultural outcomes. Two contrasting Australian wine regions—the cool coastal Coonawarra and warm inland Riverland— were examined to reveal how local climate and geography influence farming decisions. The resulting framework provides growers and policymakers with useful tools to understand key trade-offs and make sustainable choices despite uncertainty.

RANAWAKA, Ranawaka Arachchige Gayana Buddhini

Thesis Title

The Organisation and Epigenetic Landscape of the Nicotiana Benthamiana Genome

Supervisors

• Professor Peter Waterhouse (Principal Supervisor)
• Dr Kevin Dudley (Associate Supervisor)

Citation

The thesis constitutes an original contribution to our understanding of the genome, transcriptome, epigenome, and metabolomic features of two evolutionarily distinct ecotypes of Nicotiana benthamiana (native Australian tobacco). It investigates multi-omics data to comprehend their contribution to the distinct morphological features, the significance in the context of its key role in plant biotechnology, and their links to its evolutionary past.

ROSTAMI, Ati

Thesis Title

Re-engineering Enduring Mathematical Models Using New Data and New Techniques: Thornley's Plant Biology Model

Supervisors

• Dr Matthew Adams (Principal Supervisor)
• Dr Brodie Lawson (Associate Supervisor)
• Emeritus Professor Kevin Burrage (External Supervisor)

Citation

Plants are essential to life on Earth, providing food and maintaining the global Carbon cycle. Mathematical models can predict and optimise plant growth, but their usage relies upon model behaviour being realistic and good estimation of their parameter values. Using a model for Carbon/Nitrogen allocation in plants as a case study, this thesis identifies non-physical and chaotic behaviours under some parameter regimes and proposes a modification to improve stability. Using statistical techniques, parameter identifiability is assessed across different data types. The results highlight which measurements are most informative and how model analysis can guide experimental design when data are limited.

SOLTAU, Carl Peter

Thesis Title

Exploring the Potential of Nitroxide-Steroidal Hybridised Compounds as Redox Modulating Anti-Inflammatory Drugs

Supervisors

• Associate Professor James Blinco (Principal Supervisor)
• Dr Mark Adams (Associate Supervisor)
• Dr Alex Martyn (External Supervisor)
• Adjunct Professor Steven Bottle (External Supervisor)

Citation

This thesis explores the development of new “hybrid” drug molecules designed to better treat diseases linked to inflammation and oxidative stress, such as cancer. By chemically combining anti-inflammatory steroids with redox-active nitroxides, this research developed novel drug candidates that both regulate inflammation and disrupt cancer cell survival, with studies demonstrating not only their specificity towards malignant cells, but also their synergistic enhancement of existing chemotherapy drugs. Overall, this research provides a foundation for designing smarter, more effective treatments that target multiple disease pathways at once.

STEPHAN, Georgie Renee

Thesis Title

Mining for Fusarium Wilt Susceptibility Gene Targets in Banana for Editing and Disease Resistance

Supervisors

• Professor Peter Prentis (Principal Supervisor)
• Dr Jean-Yves Paul (Associate Supervisor)

Citation

Bananas are one of the world’s most valuable agronomic commodities, yet production is greatly constrained by disease. Fusarium oxysporum f. sp. cubense (Foc) has had a devastating impact on the banana industry. This study aimed to engineer resistance to the Foc variant subtropical race 4 (STR4) in the cultivar Lady finger by targeting putative disease susceptibility genes using CRISPR/Cas9. In parallel, transcriptomic analyses of this pathosystem were conducted to identify additional susceptibility gene candidates. This work is the first report of gene editing in Lady finger and provides resources to support future disease resistance efforts in this important crop.

SUTTON, David Michael

Thesis Title

Fabricating Silver Microstructures on Zinc Oxide Thin Films through Laser Driven Photodeposition

Supervisors

• Professor Esa Jaatinen (Principal Supervisor)
• Professor Eric Waclawik (Associate Supervisor)
• Dr Matthew Shortell (External Supervisor)

Citation

This research developed and tested a novel instrument for conducting laser-based photodeposition to fabricate silver microstructures, providing significant improvements in the reliability and reproducibility of the initiating light in photodeposition reactions. The precision increase allowed the study of controllable optical properties during these reactions, highlighting a fluence threshold and providing early evidence for an interplay between optical and chemical properties in controlling the morphology of fabricated structures. Results demonstrated the benefits and limitations of laser-based systems, with recommendations made to integrate the learnings from both into future research, including for use with non-Gaussian beam shapes.

WATKINS, Alex

Thesis Title

Extreme Events and Ecosystem Services

Supervisors

• Professor Jonathan Rhodes (Principal Supervisor)
• Dr Brooke Williams (Associate Supervisor)

Citation

This thesis investigates how extreme events and the policies responding to them reshape people’s benefits from nature. It shows that shocks such as COVID-19 and climate mitigation policies can unintentionally reduce access to green spaces and shift environmental pressures onto vulnerable countries. Using conceptual, empirical, and global modelling approaches, the research demonstrates how shocks and policy responses alter ecosystem services across cities and nations, and highlights the need for better planning and international cooperation to ensure fair and sustainable outcomes.

WIJERATHNE, Binodhya

Thesis Title

From Natural Structures Towards Bioinspired Advanced Materials

Supervisors

• Professor Ziqi Sun (Principal Supervisor)
• Professor Ting Liao (Associate Supervisor)

Citation

Nature holds secrets to plethora of properties including strength, toughness, and adaptability. My PhD explored three remarkable structural inspirations: the sharp, strong leaf tip of Agave striata, the adhesive micro-hairs on a fly’s leg, and fibers of the protective silk cocoon. By studying their in-depth unique architectures and mechanical properties, I developed bioinspired platforms for advanced materials microneedles, nano 3D printed nano-arrays for smart adhesives, and fibrous meshes for water purification and sports textiles. These designs combine lightweight strength, resilience, and sustainability, offering solutions for healthcare, environmental technologies, and everyday applications.

YANG, Tong

Thesis Title

Interfacial and Electrolyte Engineering for High-Performance Aqueous Zn Metal Batteries

Supervisors

• Professor Hongxia Wang (Principal Supervisor)
• Professor Jingsan Xu (Associate Supervisor)

Citation

Aqueous zinc batteries are a safe and low-cost option for large-scale energy storage, but their performance is limited by instability of the zinc metal electrode during repeated charging and discharging. This thesis develops new electrolyte additives and thin protective coatings to make zinc electrodes more stable and reliable. The research shows that regulating ion behaviour at the zinc surface can suppress unwanted reactions, prevent uneven metal growth, and greatly extend battery lifetime. These strategies improve battery efficiency, durability, and safety, offering practical solutions for future sustainable energy storage technologies.

Undergraduate

Bachelor of Engineering Studies

• LOW, James John

Bachelor of Data Science

• BIDARI, Suprerak
• HAGEL, Neo Akira
• NGUYEN, Minh Duc
• RUTER, Kyle Bradley
• TRAN, Hai Long Vu

Bachelor of Data Science – with Distinction

• BARNHAM, Michael Robert
• CHITHRANGATHAN SAKUNTHALA, Sabari
• DANG, Nhat Quang
• HIPP, Timo
• LI, Jingrong
• MINIKH, Natalia
• PHAM, Trung Hieu
• SARBODA, Ian Ceazar Pacoma
• STANTON, Damien Frederick
• TRINH, Bao Chau
• WONG, Justin Yuk Chak

Bachelor of Mathematics (Statistics)

• PEPPER, Christopher John

Bachelor of Mathematics (Applied and Computational Mathematics) – with Distinction

• LOW, James John
• NORTON, Chloe May
• ZEIN, Sheren Brisbanea

Bachelor of Science (Biological Sciences)

• BATES, Ryan Thomas
• BRENNAN, Samuel James
• EDWARDS, Gabrielle Rose
• FISHER, Molly Alice May
• KIM, Myokyung
• MOULDER, Natalie
• NANCARROW, Charlie
• SHARMAN, Jason James
• SHERIDAN, Martin
• SPALDING, Aaliyah Grace

Bachelor of Science (Chemistry)

• KEOGH, Taj Daniel
• PACKBIER, Samuel
• THOMPSON, Georgia Yvonne
• TJANDRA, Gisella Rosemary
• TYRRELL, Ruby Elizabeth

Bachelor of Science (Earth Science)

• FORBES, Alexander Robert Bruce
• GRAY, Jacob Hamish
• HAUPT, Lachlan Robert
• NORTH, William Stephen
• O'KEEFFE, Cooper Ross
• POWER, Daniel James
• STEELE, Samuel David

Bachelor of Science (Environmental Science)

• COURTNEY, Alyssa Peta
• HALL, Joshua Peter
• KUHLE, Quinten Kevin
• NZAMA, Nomusa
• PALMER, Emma Charlotte
• RANSOME, Ava
• WHALLEY, Dale Bryan
• WILLEMS, Koen Harm

Bachelor of Science (Physics)

• GILMOUR, Bradley Ian
• O'NEILL, Emily Ann
• RICHARDSON, Sean William
• SKINNER, Mark Emmett
• STAVRINOUDIS, Morgan George

Bachelor of Science (Biological Sciences) – with Distinction

• HUTTON, Christopher John
• SELLWOOD, Charlotte Amelia
• SUTER, Grace Danielle
• THOMSON, Sienna Lea

Bachelor of Science (Chemistry) – with Distinction

• CARTER, Lara
• DELABBIO, Marina Lois-Anne
• GHALE, Prasansa
• HILEY, Matthew Benjamin
• MORGAN, Bernard Patrick

Bachelor of Science (Earth Science) – with Distinction

• EASTWELL, Bailey Ray

Bachelor of Science (Environmental Science) – with Distinction

• BUHLER, Olivia Kate
• GOULD, Millie Elizabeth
• HAWEA, Kane Ahitana
• HULLS, Samuel Harrison

Bachelor of Science (Physics) – with Distinction

• ABEY, Daniel Ruben
• BARCLAY, Megan Isabella
• HUZEVKA, Natalie
• POWE, Hugo Sebastian
• WALLENBURG, Jacob Carl

Bachelor of Business (Economics)/Bachelor of Data Science

• TOM, Chelsia

Bachelor of Business (Finance)/Bachelor of Data Science

• AHMED, Ayesha

Bachelor of Business (Economics)/Bachelor of Mathematics (Statistics) – with Distinction

• CONTESSA, Latrisse Ava Maree

Bachelor of Business (Finance) – with Distinction/Bachelor of Mathematics (Statistics) – with Distinction

• ROGERS, Harrison Robert

Bachelor of Science (Biological Sciences) – with Distinction/Bachelor of Business (Accounting) – with Distinction

• GALVEZ, Felix Samuel

Bachelor of Science (Physics) – with Distinction/Bachelor of Business (Economics) – with Distinction

• LAMB, Cooper

Bachelor of Science (Earth Science)/Bachelor of Games and Interactive Environments (Animation)

• DANTOC, Johan Carlo

Bachelor of Science (Physics)/Bachelor of Games and Interactive Environments (Game Design)

• CHU, Chester Junior Yau Kei
• VU, Kelvin Minh Quang Nguyen

Bachelor of Science (Physics)/Bachelor of Information Technology (Computer Science)

• FRISCH, Mitchell Takeya
• HUESTIS, Jacinta Bianca

Bachelor of Science (Chemistry) – with Distinction/Bachelor of Information Technology (Computer Science) – with Distinction

• BRIGGENSHAW, Jadezia Anne

Bachelor of Science (Chemistry) – with Distinction/Bachelor of Mathematics (Applied and Computational Mathematics) – with Distinction

• BOLD, Evelyn

Bachelor of Science (Earth Science) – with Distinction/Bachelor of Mathematics (Operations Research) – with Distinction

• CHAPLIN, Lachlan Jack

Bachelor of Science (Honours) (Physics) – First Class Honours

• DWANE, Joseph Michael

Postgraduate

Graduate Certificate in Business Analysis

• KAUR, Jasmine
• MIDHUN RAJ, Anjali
• VERES, Helen Anne

Graduate Certificate in Business Process Management

• DUNCAN, Shane William
• GALE, Stephen
• MATTHEWS, Angelina

Graduate Certificate in Data Analytics

• AGOSTINI KLEIN, Luiza
• AKERS, Graeme John
• BOWERS, Alison Pauline
• BRADFORD, Samuel Nathan
• CARTER, Nicholas Andrew
• CAVANAGH, Declan Scott
• CHICAS, Isabella Eliana
• CHIKETA, Priviledge
• CHURCHILL, Zak Alexander
• CLARKE, Stephen James
• CRAVEN, Bonnie Maureen
• CURTIS, Frederick Desmond
• DE OLIVEIRA NUNES, Pedro Miguel
• DICKSON, Alexander Hugh
• DOLLAR, Alexandra Anne
• DONLAN, Grace Elizabeth
• FAROOQI, Sohaib Zafar
• FIEDLER, Frederick Max
• GAVILAN ORTEGA, Jessica Alejandra
• GILLIES, Fiona Marie
• KALVA, Krupanand Reddy
• KUMARASINGHE, Ishani Sachitra
• LAL, Shahil
• LAVERS, Alistair Roland
• LEOTA, Pauline Joan
• LI, Xialang
• LLOYD, Thomas Ashley
• MARIA, Karla
• MARMOUSH, Ahmed Tawfik Sadik
• MARTIN, Edwina Brigid
• MCKINNON, Joanne Elizabeth
• PANCHAL, Bharat Mahendrabhai
• ROY, Sweny Ashwinkumar
• SHAHPAREE, Annisha
• SINGH, Snehlata
• SIVIOUR, Zoe Kay
• SUM, Jacqueline Hiu Yen
• SUZUDO, Matsumi
• SYLVER, Cathal James
• TAM, Chung Yan Jonathan
• TUNKS, Timothy Ryan
• UPTON, Kyle Ross
• VANDERWERF, Rees
• VEITCH, Gareth Campbell
• WANG, Yunli
• WEYMOUTH, Timothy Robert

Graduate Certificate in Data Science

• ALDANA, Fabio Henrique
• BORRADALE, Amy Artemis
• DE OLIVEIRA ROSA, Rafael
• MILLS, Joshua Logan
• O'SHAUGHNESSY, Patrick James
• ROSZKOWSKI, Adrian
• TUMACDER, Mark David Flores
• YOU, Iee Sun

Master of Applied Science (Medical Physics)

• CHESTERS, Isaac James
• SHARP, Olivia Maria Sioban
• STONES, Emma Mary

Master of Business Process Management

• DE LUCA, Micaela

Master of Data Analytics

• CHANDRASHEKAR, Nandan
• CHICHESTER, Tivoli Avalon
• GONZALEZ VASQUEZ, Maria Paula
• LODAY, Yonten
• NAIR, Amith
• NATRAIYAR GUNASEKARAN, Saravana Muthu Kumar
• OHRI, Mohul
• PATIL, Hrishikesh Sunil
• REGI, Ronald
• SHRIVASTAVA, Akriti
• TERERAI, Selestino
• WANG, Yizhou

Master of Data Analytics (Biomedical Data Science)

• ARDHAM, Aneesh
• HO, Selina Wing Kay
• MILOSAVLJEVIC, Adam

Master of Data Analytics (Computational Data Science)

• ALVARES, Melroy
• JOHN, Nora
• KARRU, Thirumala Venkat Sai
• LA-OR, Wipatchaya
• LE, Nam Phong
• MCKENZIE, Luke Thomas
• PANDEY, Anushreya
• REJIMON, Saketh
• SANCHEZ GUTIERREZ, Luis Fernando
• YOVANITCH, Jodie

Master of Data Analytics (Statistical Data Science)

• DUMMU, Adarsh
• JOSEPH, Maria
• KOTU, Harika
• NGUYEN, Thu Anh
• TOVUUDORJ, Khorolsuren

Master of Data Science

• AAKHUU, Uugantsetseg
• ANG, Yi Jie
• ASGHAR, Shanza
• CANOZA, Bonn Michael
• CHANTAPIMPA, Phumisit
• CHOWDHURY, Md Injamamul Hoque
• GONZALES, Felyne Angeli Buhain
• JAKUBOWICZ DIT POLARSKI, Marie
• KAUR, Parneet
• LEE, Jaeyi
• LU, Yi-Tung
• MCNAMARA, Jane Jeeyun
• MIN, Jiaqi
• MOHANKUMAR, Makizharasu
• NARK-ARTIT, Pirada
• NGUYEN, Thanh Trung
• NOBLE, Isabella Jean
• OSBORN, Teagan
• PHAM, Le Khanh Linh
• PINEL, Oliver Bruce
• REGO, Sanjay Charles
• SALU, Jacinta Anne
• SANG, Songyi
• SEVILLENA, Camille Aryne Songcayawon
• SHAO, Wenbo
• SUN, Yangjun
• THONG-INTA, Jidapa
• TRAN, Thu Hien
• VACA GONZALEZ, Paola Andrea
• VENKATESH KULKARNI, Prajwal
• WANG, Xinning
• WONG, Weng Yan
• XIE, Yuxuan

Master of Philosophy

• A, Nanda
• BEENA, Parvathy
• DOMANN, Eliza Jayne
• GIBBS, Samuel Andres
• HOLDSWORTH, William Trevor
• LYONS, John
• NARMILAN, Puvanitha
• NESAMONY, Merphin
• PATIL, Shubham Vasant
• PORCHET, Vanessa Jae Hee
• REZAEIAN, Amirebrahim
• WAHALATHANTHRIGE, Hashini Jayathunga

Master of Philosophy (Mathematics)

• CARWOOD, Obi

Master of Philosophy (Science)

• ANAND, Ayusha Myer
• DAI, Lin
• FRYER, Jayden Scott
• HUYNH, Tan Trung Kien
• LIU, Jiarong