Abeer Alshehri

Explanation of goal recognition systems

Abir Naskar

Identifying Adolescent Risk-taking Behaviours from Clinical Text

Afsaneh Hasanebrahimi

Robust anomaly detection

Anh Pham

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

Anqi Xhu

Action recognition with explanation

Aotao (John) Xu

A computational analysis of conceptual combination through time

Archana Vadakattu

Dynamic learning in cognitive agent architectures

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

Chen Wang

Inverse Reinforcement Learning Approach for intent inference in adversarial environments

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

Dalin Wang

Image captioning with conditional-GAN

Damien Curran

Towards a unified narrative representation for computational understanding of narrative text

Daniel Cabrera Lozoya

Augmenting clinical mental health practice with machine learning models and digital phenotyping insights

David Adams

Automatic Insights: Database management in the era of data deluge

Dehiwala Wijesinghe

Thesis title TBA

Demian Aaron Inostroza Amestica

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

Diana Yang

Robust data mining

Dimuthu Kariyawasan

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

Dinuka Manohara de Zoysa

Discovering insights through intent prediction and guided exploration

Fajri Koto

Neural language model for abstractive text summarisation

Fan Jiang

Retriever-augmented approaches for natural language processing

Farzaneh Zirak

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

Fengze Sun

Effective and efficient algorithms for region similarity queries

Gisela Vallejo

A fair plan towards mitigating bias and misinformation

Guang Hu

Explainable agency using epistemic planning

Haitian He

Video anomaly detection in crowded scenes at multi-timescale

Hanan Alsouly

Dynamic many-objective optimisation using evolutionary algorithms

Haoyuan Li

Comprehensive de novo protac design via denoising diffusion probabilistic models

Harindu Ashan

Adversarial machine learning for anomaly detection

Helani Wickramaarachchi

An efficient, autonomous reward shaping algorithm with evolutionary game theory: applied to the field of multi-agent systems.

Hesam Asadollahzadeh

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

Hong Yi Lin

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

Hung Thinh Truong

Evidence extraction from the clinical trials literature

Hyunsuk (David) Chung

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

Isura Manchanayaka

Identifying coordination and influential people in social media and their intentions

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

Jiajia Song

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

Jiani Xie

Certified robustness for audio-based machine learning systems

Jiayang Ao

Explainable computer vision algorithms

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

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

Jun Wang

Adversarial machine learning for machine translation

Kasra Kamali

Towards responsible generative visual modeling

Kevin McDonald

Enhancing reinforcement learning algorithms for team-based systems

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

Maria Bulychev

Thesis title TBA

Markus Hillier

Constraining learning methods through geometry and causal reasoning

Marzieh Parvaneh Akhteh Khaneh

Designing online learning environment based on peer feedback (dialogic interaction and self-reflection)

Matteo Guida

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

Meng Cai

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

Miao Li

Neural multi-document modeling and abstractive summarization

Ming-Bin Chen

Interactive agents for combating misinformation

Mitra Heidari

Modelling and optimization of bioprocess systems

Mohammad Ariful Islam

Thesis title TBA

Mojgan Kouhounestani

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

Muxing Li

Trustworthiness in using foundation models

Nadeeshan Dissanayake

Intelligent intersection management for improved traffic safety

Navid Akhavan Attar

Robust Medical Datamining

Nimeshika Udayangani

A pixel-level unsupervised approach to image anomaly detection

Oliver Kim

Thesis title TBA

Oshada Jayasinghe

Real time digital twins for intelligent transportation systems

Pagnarasmey Pit

Unlearnable text and protecting digital data from exploitation

Pagnarith Pit

Macro-economic policy investigation through agent-based modelling

Paul Ou

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

Prabodi Senevirathna

Quantifying and mitigating machine-learning induced overdiagnosis in sepsis

Priyanka Pillai

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

Ran Liang

Spatio-temporal traffic prediction using deep learning models

Raphael Merx

Enhancing machine translation for medical education: a sudy on nursing students in Timor-Leste

Rinu Ann Sebastian

Explainable computer vision to improve human-machine interaction

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

Rongxin Zhu

Automatic summarization for multi-party conversation

Rui Xing

Towards explainable fact checking

Ruijang Dong

Hypothesis transfer for foundation models

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

Shaona Cheng

Agitation States Computing for Tailored Music Recommendation

Shengxiang Gao

Enhancing large language models and knowledge bases through mutual integration

Shijie Liu

Enhancing adversarial defence via robust statistics and certified robustness

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

Songlin Du

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

Sujai Huang

Natural language understanding for learning agents

Susan Sheldrick

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

Thye Shan Ng

Modular multimodal architectures for plug-and-play applications

Tianyi Zhang

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

Tien Dung Pham

A robust datamining approach to cell culture media optimisation

Tingxuan Wang

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

Tom Harris

Multiscale modelling of airborne pathogens: Investigating the role of within-host and between-host factors in transmission

Tuan Duong (Tony) Trinh

Advancing responsible generative AI in computer vision

Viktoria Schram

Performance prediction for low resource scenarios

Vincent Barbosa Vaz

Predict and optimise through time

Wachiraphan Charoenwet

Pragmatic use of CodeQL in the Context of Code Review

Zinling Shen

Dynamic indoor evacuation planning in an emergency

Xinyu Su

Traffic prediction using graph neural networks

Xueqi Ma

Adversarial learning based on manifold learning and graph-based learning

Yanbei Jiang

Abstract visual reasoning with text explanation

Yige Song

Student profile modelling using XAI algorithms

Yilin Geng

Character-centric story understanding and generation

Yiyi Guo

Transfer learning driven weather prediction

Yiyuan Pu

Literature-based discovery for Alzheimer's disease

Yuhao Li

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

Zewei Shi

Multimodal large language model for digital trust

Zheng Wei Lim

Cross-lingual psycholinguistics with NLP methods

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

Zhuoqun (Calvin) Huang

Adaptive data analysis for principled data reuse

Zuqing Li

Query constraint-aware tabular data generation