Graduate Researchers

Abir Naskar

Identifying Adolescent Risk-taking Behaviours from Clinical Text

Adam Lynton

Multimodal neural signal processing for enhanced accuracy in non-invasive, portable BCI devices

Afsaneh Hasanebrahimi

Robust anomaly detection

Ali Alrasheed

Robustness of vision and language foundation models

Angela Yuan

Forecasting of listener reaction trajectory in dialogues

Anh Pham

Measuring and improving the usability of agent-based models for infectious disease modelling

Anudeex Shetty

Watermarks for Large Language Models

Aryan Yazdan Parast

Improving robustness of machine perception by intervention

Aso Mahmudi

Developing advanced processing tools for under-resourced languages focusing on morphological features

Behzad Moradi

Enhanced bilevel optimization via machine learning

Canaan Yung

Adversarial attacks on generative AI models

Chao Lei

Automated monitoring of green infrastructure in Melbourne

Chengyi Cai

Foundation-model reuse via model reprogramming

Chenhao Gu

Reconstructing social influence networks and tracking opinion dynamics on social media

Christopher Guest

Thesis title TBA

Craig Lewis

Entrepreneurial initiatives and team collaboration: effects of modes of behaviour on startup team effectiveness and success

Damien Curran

Towards a unified narrative representation for computational understanding of narrative text

David Adams

Automatic Insights: Database management in the era of data deluge

Demian Aaron Inostroza Amestica

Explaining cross-lingual variation in grammatical case systems through Information-theoretical approaches

Dimuthu Kariyawasan

Multi-modal spatial-temporal graph neural networks for user stance prediction

Dingyang Lyu

Enhancing spatio-temporal graph learning: addressing distribution shift and scalability

Dinuka Manohara de Zoysa

Discovering insights through intent prediction and guided exploration

Farzaneh Zirak

Using eye-tracking technology to improve visual data exploratory tools performance

Fengze Sun

Effective and efficient algorithms for region similarity queries

Giacomo Rosa

Efficient exploration in planning

Haichi Long

Learning causal models with latent variables

Haitian He

Video anomaly detection in crowded scenes at multi-timescale

Hanchen Zhang

Nonconvex optimisation: algorithms, generalisation and robustness

Haoran Zhao

Invariance testing in LLM: Through the classification and recognition task from multi-modality

Haoyuan Li

Comprehensive de novo protac design via denoising diffusion probabilistic models

Harindu Ashan

Adversarial machine learning for anomaly detection

Harvey Zhang

Optimization of production by selected turbine de-rating at Macarthur Wind Farm

Heethanjan Kanagalingam

Towards the effective adaptation of foundation models

Hesam Asadollahzadeh

Detecting and mitigating LLM-based impersonation in dialogues: Trustworthy generative models in adversarial settings

Hongyu Jin

Fair and efficient large language models for reducing diabetes healthcare disparities in rural and underserved Australian communities

Hugo Lyons Keenan

Improving the safety properties of machine learning systems with mechanistic anomaly detection

Hyunsuk (David) Chung

Advancing multi-modal information retrieval using LLM-based knowledge management

Jemima Kang

Using NLP to determine semantic drift in mental health discourse

Jiacheng Zhang

Enhancing trustworthiness and robustness of machine learning models in adversarial environments

Jiaheng Dong

RiTuaL: Reliable and trustworthy machine learning for time series modeling in mobile health

Jiajia Song

What makes AI planning hard? From complexity analysis to algorithm design

Jiani Xie

Certified robustness for audio-based machine learning systems

Jie Huang

Leveraging generative AI to inform health services research

Jie Yang

Save you from irrational decisions: a responsive agent affected by user emotions

Jinhao Li

Transfer learning for foundation models

Jinrui Yang

Fairness and bias in natural language processing

Jinwoo Kim

Multi-hop and multimodal question-answering for complex scientific documents

Jinxi Wang

Experimental design and performance pptimisation of monoclonal antibody production in bioreactors under insufficient data based on machine learning

Johnson Zhou

Applied deep learning control for neurological disease models

Josephine Delore

Developing human-centred parameters for mathematical optimisation to create an intuitive experience

Kasra Kamali

Towards responsible generative visual modeling

Kejian Cui

Using chatbots and natural language processing to train and evaluate mental health therapists

Kevin McDonald

Enhancing reinforcement learning algorithms for team-based systems

Khawar Islam

Towards effective multi-modal foundation models

Lankadinee Rathuwadu

Self-driving databases: statistical sampling for efficient cost estimation

Laura Simoes Camargo

Ethical education in Computing: A path to prevent Artificial Intelligence harm?

Liu Liu Chen

Understanding Internalized Stigma in People with Mental Health Conditions on Social Media: Manifestations, Influencing Factors, and Impacts

Lyndon Benke

Deceptive planning in multiagent environments

Mansour Safar Poor

Investigating accelerated methods for solving Invex optimization problems

Maria Bulychev

Thesis title TBA

Mashnoon Islam

Using cognitive models to understand memorability of real-world images

Matteo Guida

Towards multilingual models of framing detection in news coverage of contemporary polarizing issues

Mehreen Mubashar

Adapting learning to overcome memorization of sparse data subsets

Meng Cai

Enhancing transformer models: a study of information bottleneck theory for efficient representation learning

Ming-Bin Chen

Interactive agents for combating misinformation

Mitra Heidari

Modelling and optimization of bioprocess systems

Mohammad Reza Ghasemi Madani

Understanding the unseen: A theoretical and computational framework for explainable language models

Mohammed Ishaq Mohammed Shoeb Ansari

Responsible use of generative AI models

Mojgan Kouhounestani

Modification of the temporal data embedded in electronic medical records dataset targeting cancer prediction using machine learning methods

Mubasshir Murshed

Efficient state space models for computer vision

Muku Akasaka

Visual spatial reasoning in visual language models

Muxing Li

Trustworthiness in using foundation models

Nadeeshan Dissanayake

Intelligent intersection management for improved traffic safety

Navid Akhavan Attar

Robust Medical Datamining

Ne Luo

Detecting in-group hateful language in online communities

Nicholas Liang

LLM-assisted detection of sensitive data leakage and graud using knowledge graphs

Nicholas Sharp

Automating cyber purple teaming with agentic AI

Nimeshika Udayangani

A pixel-level unsupervised approach to image anomaly detection

Oshada Jayasinghe

Real time digital twins for intelligent transportation systems

Pagnarasmey Pit

Unlearnable text and protecting digital data from exploitation

Paul Ou

Data-driven methods for modelling, optimising and validating digital bioprocess development

Priyanka Pillai

Understanding the impact of population heterogeneity on the computational modelling of STIs

Raphael Merx

In-domain user-centered low-resource machine translation

Roben Delos Reyes

Modelling the impact of pandemics on health care services

Robert Langtry

Machine learning for automated generation of validated infra-red signature models

Robert McArthur

Novelty search and quality diversity algorithms in latent world models

Ruijiang Dong

Hypothesis transfer for foundation models

Rui Xing

Towards explainable fact checking

Sameera Vithanage

Towards understanding user perceptions of fake news on social media

Sandra Arcos Holzinger

Enhancing robustness in machine learning systems: a multimodal setting with a focus on speech

Saumya Hansanie Karunadhika

Development of a novel algorithm for motif discovery and anomaly detection in medical time series data from ventilators

Sayantan Dasgupta

Energy-aware machine learning

Sehyuk Park

Integrating visual and textual cues for time-series forecasting

Shaona Cheng

Agitation States Computing for Tailored Music Recommendation

Shengxiang Gao

Enhancing large language models and knowledge bases through mutual integration

Shuhe Wang

Prompts Evaluation and Refinement

Shuo Yang

Multimodal commonsense knowledge distillation for visual question answering

Sing Chee Tan

Improving rapid response systems through predictive analytics

Siyi Wang

Multimodal speech and language Understanding in low-resource and real-world environments

Songlin Du

Collaborative human-ML decision making for medical diagnostics: an ICP-based approach

Soyoun Won

Interpretability-aware visual modeling

Suhail Najeeb

Explaining vision transformers for small object detection

Susan Sheldrick

"Computer says no": impacts of AI in information systems for rural and remote small businesses

Tao Shi

Memorisation or generalisation? Evaluating the creativity of large language models

Thi Xuan May Le

Shapelet transformer for time series and its applications in healthcare

Thye Shan Ng

Modular multimodal architectures for plug-and-play applications

Tianyi Zhang

Digital phenotyping (personal sensing) for mental health and well-being

Tingxuan Wang

Modelling 3D shape of sands from X-ray computed tomography images

Tuan Duong (Tony) Trinh

Advancing responsible generative AI in computer vision

Uvini Ranaweera

Accelerate data-driven decision making: LLM-powered agentic AI to streamline data management tasks

Vincent Barbosa Vaz

Predict and optimise through time

Xueqi Ma

Adversarial learning based on manifold learning and graph-based learning

Xunye Tian

Hypothesis testing with learned kernel functions

Yanbei Jiang

Abstract visual reasoning with text explanation

Yang Li

An investigation of query optimization in databases using meta-learning methods

Yang Xiao

Leveraging multimodal large language models for audio generation

Yige Song

Student profile modelling using XAI algorithms

Yilin Geng

Character-centric story understanding and generation

Yiyi Guo

Transfer learning driven weather prediction

Yuchen Luo

Ensuring model robustness under distribution shift

Yue Dai

Multimodal knowledge editing for bias mitigation

Yufan Xia

Large Scale High-Accuracy Molecular Dynamics using Hybrid Quantum-AI Methods

Yuhao Li

Robust and explainable medical data mining and its application

Yuhao Tong

Mining environmental eukaryotic sequence data with deep learning

Yu Li

Explainable time series forecasting

Yuxiang Wang

NeuralDB: unleashing the power of neural networks in database management systems for intelligent data processing

Zaher Joukhadar

Autonomous and robust AI in low-resource settings

Zhenkai Zhang

To solve the current problems of NeRF and to explore the application of NeRF in robotic vision or automatic drive

Zhiaho Pei

Reinforcement Learning for robust decision-making under deep uncertainty

Zhijian Zhou

Data-adaptive non-parametric hypothesis testing

Zihan Xu

Exploring the psychological-social impacts of sexually transmitted infections (STIs) across different demographics and data sources

Ziyang Liu

Agent-Driven learning in LVLMs: Structured reasoning over VRDs via self-instruct and refinement

Zuqing Li

Query constraint-aware tabular data generation

Abhishek Sawaika

System aware distribution, orchestration and benchmarking of quantum tasks under networked quantum system

Alexander Epstein

Improving automation for resolution-style theorem proving

Anh Ho

Automated bug fixing using program analysis and AI

Chanuka Avishka Sandeepa Hewa Kaluannakkage

Dynamic optimization of decentralized federated learning for large-scale heterogeneous data applications

Chaoyi Xiang

TBA

Constantinos Kavadias

Compliable high level quantum computing languages

Daghash Alqahtani

Container orchestration for AI-driven IoT applications in heterogeneous computing continuum environments

Duneesha Tharangie Fernando

Performance anomaly-aware management of serverless applications deployed in CaaS (Container as a Service) platforms

Elisa Shiohi

Rules as code: Can privacy be automated?

Fatemeholsadat Hossini Saidi

Driving towards greener and safer roads using big spatiotemporal data

Faxing Wang

Removing trust assumptions for distributed zero-knowledge proofs

Fengnian Lin

Efficient algorithms for solving problems on massive data

Gerald Huang

Thesis title TBA

Haotian Liu

Alleviating privacy leaks on graph neural networks via causal models

Haoyu Bai

An extenable heterogeneous resources provision system based on large models and blockchain in microservices

Haoyu Gao

Technical document simplification

Hongwei Yin

Real-time action recognition in sports games through deep learning on mobile devices

Hong Yi Lin

Using neural machine translation approaches to automate code improvements for code reviews

Hossein Hosseini

Towards cost-efficient inference: Scalable deployment of multiple LLMs

Huy Nguyen

Encoding additional natural language artefacts for better code representation

Jiahao Yang

Post-processing methods for adversarial machine learning

Jie Zhao

Autonomous workload management in federated cloud computing environments

Juntao Chen

Towards efficient code generation via dynamic scope context retrieval and automatic result checking

Kanwal Aslam Syed

Hash based post quantum cryptography on FPGA

Kasun Amarasinghe

Learning index structure for multi-dimensional spatial data

Kwun Ming Pang

Approximate similarity search on high dimensional data

Lezhou Lang

Algorithms for graph inference from sparse data

Licheng Zhang

Structured information extraction from VRDs: A case study of building floor plans

Limalka Sadith Weerakkody Mudiyanselage

Next generation image processing for CAVs

Louis Copland

Human-AI collaboration for deepfake detection

Luca Morandini

Application of large language models to the geospatial domain

Luxin Fang

Estimation of distribution power network topology from smart meter measurements

Manh Dung Nguyen

Safe LLM-based code generation

Marjan Azimi

Hierarchical topics-specific expert identification

Minh Hieu Huynh

Towards autonomous software engineering: repository-level code generation

Murtaza Rangwala

Trust-aware model personalization and privacy amplification in decentralized federated learning

Neil Vyas

TBA

Peerachai Banyongrakkul

Exploring bug reports in AI-based software applications

Pilar Selene Linares Arevalo

Refinement types to simplify verification

Prabhjot Singh

Advanced federated learning frameworks for AI integration in IoT and quantum edge computing

Pratheek Senevirathne

Efficient self-healing in large-scale cloud computing systems

Qifan Deng

An energy-efficient distributed system for integration of heterogeneous resources

Qiyue Mei

Autonomous multi-agent framework for end-to-end software vulnerability detection and resolution

Reyhaneh Goli

User search modelling in complex querying environments

Ron Shaharit

Batch bin packing of system services in four dimensions

Sadra Bayat Tork

Verified memory analysis for binaries

Sahan Hemachandra

Energy-efficient routing for connected autonomous vehicles

Samuel Thomas

Designing efficient algorithms for big data

Shaobo Yan

Optimal electric vehicle routing and charging planning

Shashank Sanjay Bhat

Quantum optimization in robotics and autonomous systems

Shuzhi Gong

Social media fake news detection through graph based deep learning

Stephen Luan

The application of large language models in cyber security

Tian Qiu

Automated program synthesis for security testing

Tianyu Qi

Optimization of data processing and resource management for distributed stream processing systems

Tian Zhang

Improving automated test oracle generation for secure software systems

Unaiza Alvi

Enhance robustness and reliability of large language models for software engineering

Viet Hoang Luu

Web browser security analysis and testing

Vinay Kabadi

Automated software regression bugs fixing

Vincent Jackson

Mechanised high-level verification for concurrent low-level programs

Weijia Jia

Causal reinforcement learning-based autonomous intersection management optimization

Wenqi Yan

Towards effective and efficient parallel fuzzing

Wentao Gao

Human-in-the-loop fuzzing for effective vulnerability discovery

Xiangyu Hui

Advanced privacy-preserving techniques for secure data retrieval

Xiao Sun

Thesis title TBA

Xing Li

Type-based complexity analysis for higher-order functional programs

Xu Bai

A QoS-driven approach for microservice placement in the cloud-edge continuum leveraging GNN and reinforcement learning

Xuyan Shi

Reinforcement learning for compilation in emerging architectures

Yifan Sun

Energy-aware scheduling for efficient LLM deployment in kubernetes clusters

Yifan Xie

Involving engineering experience in the undergraduate engineering education in China

Yixiang Wang

The online set cover with delay problem and related problems

Yuhao Sun

AI safety and privacy of foundation models

Yuhao Sun

AI safety and Privacy of Foundation Models

Zewei Shi

Multimodal large language model for digital trust

Zhenzhi Lai

Security of post-quantum algorithms for IoT

Zhexiang Zhang

Cost-efficient and efficient LLM inference systems

Zhonghong Lai

IP protection for on-device machine learning

Zhuowen Chen

AI machine learning augmented data structures

Zhuo Zhang

Efficient algorithms for solving problems on massive data

Zijun Zhang

Privacy-Aware LLM-powered streaming analytics

Alex Zable

Investigating the utility of generative AI in algorithm visualisation

Antony Linden

Game-changing innovations: Industry perspectives on hybrid tabletop games

Auzi Asfarian

Co-designing for Indigenous tourism and cultural visits with Indonesian communities

Ava Karusoo-Musumeci

Improving person-centred communication in residential aged care through technology mediated storytelling

Boyang Jia

Smartphone sensing for digital phenotyping

Cherie Mei Yee Sew

Analysing user behaviour towards influencer generated content

Chris Nelson

Thesis title TBA

Eleanor Seale

Education, entertainment, and engagement in museums in the digital age

Emma Baillie

Investigating social media structures, incentives and interactions using AI agents

Eva Le Ray

TBA

Fangxing Zhao

Co-designing a hybrid digital boardgame for supporting meaningful intergenerational life storytelling

Geoffrey Hill

Private MMO servers as video game preservation

Hanlu Shi

Developing a framework for personalised Alexa based support for ageing in place

Heejo Jeong

Relightable dynamic scene representation

Huiwen Zhang

Improving browsing for online collections

Huiyi Liang

Understanding the role of voice technology in supporting intergenerational connection and wellbeing

Jarod Govers

Conversational AI simulation for content-moderation and misinformation detection

Jess Rowlings

Experiences of agency and empowerment of neurodivergent women in online gaming spaces

Jian Zhang

Exploring the Impact of Haptic Feedback on the VR User Experience

Joe Brailsford

Causal factors of responsibility attribution in artificial intelligence systems

Josephine Delore

Developing human-centred parameters for mathematical optimisation to create an intuitive experience

Kangyou Yu

Towards seamless interaction: Adaptive multimodal interaction design for extended reality

Khanh Nghiem

TILT-TCOG: Tactical interventions for limiting tilt in team-based competitive online games

Kirthika Senathiraja

Understanding and optimizing large language models for users experiencing loneliness

Le Fang

Social media use for emotional regulation on smartphones

Lina Brockmeier

The role of smartphone use and stress for well-being in real-life settings

Lingxiao Li

Human scene interaction

Matthew Sidji

Exploring the role of mental models in human-AI relations

Mayura Manawadu

Large scene capturing and reconstruction for free-view navigation in dynamic environments

Mingjun Yang

Neural relighting in extended reality environment

Muhammad Bilal

Towards interactive robot learning for complex sequential tasks

Nasalifya Namwinga

Challenges and opportunities for AI and emerging technologies to mitigate burnout among a diverse workforce

Piumi Perera

Mixed realities in encounters with nature

Ruby Edwards

Experimental play in Dungeons & Dragons: How digital platforms, emerging technologies and AI are changing the way we play D&D, and what this means for the sociocultural future of roleplay and play

Samangi Wadinambi Arachchi

Exploring the effect of AI-powered creativity support tools in design work

Sarah Victoria Schoembs

Making sense of robot data: Data Visualization in Human-Robot Interaction

Sara Khorasani

Harnessing immersive simulation data in real-time to analyze user performance in virtual environments and guide training development

Sayed Ramtin Tabatabaei Moghaddam

Gaze and multi-modal data for Human-Robot Interaction

Seoha Kim

Towards dynamic 3D scene understanding: Bridging geometry and semantics with foundation models

SeungWon Jeong

Large space modeling and rendering for free view navigation

Suwani Gunasekara

Thesis title TBA

Symon Braun Freck

Designing death differently: Technology, ethnography, and end-of-life autonomy

Tharaka Ratnayake

Tangible robots for rehabilitation

Thomas Byers

Length of play: design, impact and repercussions of ongoing player engagement with video games

Toni McLennan

Living life online: online technologies and personal identity

Xanthe Lowe-Brown

Can your phone improve your wellbeing? Ethical, human-centred design and evaluation of a music recommender system that incorporates user mood and personality

Yan Zhang

Implicit behaviours in human-robot collaboration

Yuechen Liu

AI-Augmented storytelling in XR for older adults

Yushan Xing

Designing for social connectedness in later life

Zeinab Moghaddasi

Co-designing innovations in digital storytelling with older adults

Zhaohengy Shi

Modelling and mitigating cybersecurity risks to sensor data integrity in operational and digital twin systems

Adam Caldwell

Cyber defense challenges in developing Pacific nations: The Federated States of Micronesia

Aidan McLoughney

Algorithmic fairness in automated decision-making

Anandi Sethunga

Measuring generalisation of process models discovered from event logs

Andrei Tour

Mining agent-based models of business processes

Ashley Anderson

Methods of case-based instruction to improve cybersecurity education for post-professional learners

Aulia Pradipta

Integrating enterprise architecture and cybersecurity management in government

Chen Luo

Authentic popularity prediction on social media: a method to counteract the influence of bot accounts

Davor Petreski

Student Data Cooperatives: an alternative approach for ownership, sharing, and managing learner data in Higher Education

Deanna Coralage

Digital twin approaches for automated monitoring, controlling and improvement of bioprocesses

Dilang Tan

Research on an emerging online social media marketing strategy - incorporating influencer marketing with eWOM strategy

Fang Sun

Investigating collaborative mechanisms between humans and AI in open innovation

Farnaz Pirasteh

Understanding social media user roles in misinformation prevention - a computationally-intensive approach

Goran Khursheed

Automated process discovery using machine learning

Hani Arab

How does the practice of incident response change in organisations operating under a Zero Trust security paradigm?

Heidi Peart

Access to social media platforms during emergencies: An analysis of human rights considerations for people with cognitive disability navigating the digital divide

Herman Wahidin

Augmenting fairness in AI-based recruitment: a configurational perspective

Hootan Zhian

Adaptive federated learning in edge computing using process mining

Hui Rao

Exploring the ethical concerns and psychotherapeutic usage of prosocial deepfake technology

James Demetriou

Systematic innovation capabilities in Australian professional football clubs: A comparative study with European, US and global clubs

Jeremy Lindsay

Jian Li

Cyber Security Strategy in Organisations: How classic warfare strategy texts can inspire modern cybersecurity management?

Jiawei Tong

The effects of anthropomorphism and explanation types on user perception and acceptance: implications for explainable AI

John Paul Cruz

Accessibility in digital technologies: enhancing social equity

Kejian Cui

Using chatbots and natural language processing to train and evaluate mental health therapists

Liangxi Pu

How the interaction design of digital personal financial assistant shapes users' sense of control and financial wellbeing

Martin Chesbrough

Data driven culture in organisations

Mazino Onibere

Information security strategy

Md (Aktar) Aktaruzzaman

Interplay between human actors, technological systems, and organisational structures in cybersecurity practices

Mingxin Zhang

Privacy paradox: user awareness and compliance with default privacy security settings in social media platforms

Mohammad Ariful Islam

The impact of natural disasters on mental health: Evidence from social media communities

Mohammed Alsubaie

Role of Cyber Threat Intelligence (CTI) in decision making

Mohammed Mdawe R Alshahrani

Adoption, quality and implementation of AI-based healthcare solutions

Mouaz Alnouri

Strategic thinking in cybersecurity

Nataliia (Natasha) Tashevtseva

Consumer privacy protection: effective end-user adoption approaches

Nick Howard

How does Generative AI create challenges for e-commerce operations?

Nimra Akram

How cyber threat intelligence enhances cyber resilience: the Industry 4.0 context

Noushin Nazarian

Digital empowerment for older adults to support healthy aging

Pengfei Yin

Analyzing variability in clinical processes using process mining

Qianyi Li

Theorising and testing the conversion of social media cyberbullying victims into perpetrators

Qingtan Shen

Multi-agent system discovery

Rahmat Fadhli

International Students’ information behaviours in the digital environment in Indonesia

Raif Al Bedewi

Cyber Security Regulation – Enabling uplift through supervisory partnership

Sam Pitruzello

Managing cybersecurity in an entrepreneurial context

Sarah Alzahrani

Thesis TBA

Scott Ainslie

How is cyber threat intelligence operationalized in organizations

Thakshila Dilrukshi

Microservice discovery from Enterprise System logs

Tian Li

Seeing the Forest for the Trees: Stochastic Process Discovery

Victoria Sonnemans

Prescriptive business process modelling

Xiaojun Xu

Investigation the mechanism of multi-information source consultation in online health consultation platform

Xinyu He

Gender differences in online privacy sharing: behavioral and neural perspectives

Yaru Liu

The upper limit of information volume

Yolanda Chintanu

Promoting healthcare equality in Australia: Investigating the application of collective intelligence in public health for Culturally and Linguistically Diverse Communities (CALD)

Yong Zhu

AI Shame: Ethical implications and design perspectives for AI systems in academic

Yong Zhu

AI Shame: Ethical implications and design perspectives for AI systems in academic

Zitong Wang

Co-designing an AI-driven voice interaction telehealth system: A study on enhancing the well-being of older culturally and linguistically diverse adults

Mike Zhuang

Does the law make sense? Behavioral-psychological tests of the Social Media Addiction Reduction (SMART) Act