1.   Syed Moshfeq Salaken (graduated 2018)

Thesis entitled: Solving Computational Bottleneck of Interval Type-2 Fuzzy Systems

Doctor of Philosophy (Engineering), Deakin Institute for Intelligent Systems Research and Innovation

2.   Ngoc Duy Nguyen (graduated 2020)

Thesis entitled: A Deep Reinforcement Learning Framework for Human-Level Agents.

Doctor of Philosophy (Engineering), Deakin Institute for Intelligent Systems Research and Innovation

(awarded the Alfred Deakin Medal for Doctoral Thesis).

3.   Afsaneh Koohestani (graduated 2021)

Thesis entitled: Towards Identifying Driver Performance Degradation using Physiological Signals

Doctor of Philosophy (Engineering), Deakin Institute for Intelligent Systems Research and Innovation

4.   Roohallah Alizadehsani (graduated 2021)

Thesis entitled: Uncertainty-Aware Model Training and Decision Making

Doctor of Philosophy (Engineering), Deakin Institute for Intelligent Systems Research and Innovation

5.   Jyotheesh Gaddam (graduated 2023)

Thesis entitled: Development of Self-Adaptive Hybrid Algorithms: A Hyper-Heuristic Approach to Dynamic Optimisation

Doctor of Philosophy (Information Technology), Deakin School of Information Technology

6.   AmirHossein Javanshir (graduated 2023)

Thesis entitled: A Multi-Objective Spiking Neural Network

Doctor of Philosophy (Engineering), Deakin School of Engineering

7.   Muhammad Arslan Shaukat (graduated 2025)

Thesis entitled: High-Dimensional Virus Taxonomy and Sequence Analysis Using Large Language Models

Doctor of Philosophy (Engineering), Deakin Institute for Intelligent Systems Research and Innovation

8.   Anh Dat Le (graduating 2026)

Thesis entitled: Frameworks for Single and Multivariate Financial Time Series Forecasting

Doctor of Philosophy (Information Technology), Deakin School of Information Technology

9.   Ahmed Mohamed (graduating 2026)

Thesis entitled: Advancing Autonomous Cybersecurity with Deep Reinforcement Learning: Offensive Agents and Hierarchical Multi-Agent Defense

Doctor of Philosophy (Information Technology), Deakin School of Information Technology

10.  Muhammad Zeeshan Khan (graduating 2026)

Thesis entitled: Multi-Modality Guided Cross-Attention: A Deep Learning Framework for Robust Visual Question Answering

Doctor of Philosophy (Information Technology), Deakin School of Information Technology

1.    Ishan Vij (Deakin Honours Thesis, Software Engineering, 2022), Network Security Approaches using Deep Reinforcement Learning

2.   Arya Sadeghi (Monash Computer Science Research Project, 2024), A Two-Stage Approach to Fingertip Detection from Images and Videos

3.   Nishant Panchal (Monash Computer Science Research Project, 2024), Machine Learning Methods for Detection of Phishing Websites

4.   Guoxi Lu (Monash Computer Science Research Project, 2024), Investigating the Optimisation of Deep Learning Methods for Deepfake Detection

5.   Andy Ma and Hayden Makmur (Monash Computer Science Research Project, 2024), Mobile Ringtone Detection using Machine Learning Methods

6.   Jamie Tran (Monash Honours Thesis, Information Technology, 2025), A Financial Advisory Chatbot using Large Language Models

7.   Jaehong Kang (Monash Advanced Data Challenges Project, 2025), Data Anonymisation: Masked Transferable Embedding Inversion Attack

8.   Simon Sun (Monash Advanced Data Challenges Project, 2025), Evaluation of Text Anonymisation Reversal Approaches

9.   Anupa Peramuna (Monash Advanced Computer Science Research Project, 2025), Deep Fake Detection: A Novel Segment-Level Transformer Approach

10. Michael Xue (Monash Advanced Computer Science Research Project, 2025), Automated Stress Testing of Companion AI Models through Multi-Metric and LLM-Based Evaluation

11. Tristan Akbar (Monash Advanced Computer Science Research Project, 2025), Effectiveness of Transformer Architectures in Acoustic Scene Classification

12. Andy Ma (Monash Advanced Computer Science Research Project, 2025), Using Machine Learning Models to Assist Law Enforcement in Analysing Criminal Language Patterns

13. Geomher Vergara, Jun Wee, Ahmad Bin Zaini, Brian Nge, Stefan Su (Monash Software Engineering Industry Experience Studio Project, 2025), Image-based Violent Extremist Material (VEM) Detection and Classification

14. Brian Jing Hong Nge, Stefan Su (Monash Final Year Software Engineering Project, 2025), Hate Speech Detection using Large Language Models with Data Augmentation and Feature Enhancement

15. Ziheng Liao, Harshath Muruganantham, Miles Rudelic (Monash Final Year Software Engineering Project, 2025), Pose-Augmented Weapon Detection using Machine Learning

16. Yehezkiel Darmadi (Monash Master’s Thesis Project, 2025), Efficient Disruption of Criminal Networks through Multi-Objective Genetic Algorithms

17. Quoc Khoa Tran (Monash Master’s Thesis Project, 2025), Detection of Illicit Content on Online Marketplaces using Large Language Models

18. Zeqi Pan (Monash Master’s Thesis Project, 2025), Voice Cloning Deepfake Detection using Deep Learning Methods

19. Huu Minh Nguyen (Monash Master’s Thesis Project, 2025), Automated Extraction and Detection of Hate Speech Categories across Social Media Platforms using Named Entity Recognition

20. Hao Peng (Monash Master’s Thesis Project, 2025), Leveraging Vision-Language Models for Firearm Threat Detection

21. Xinrui Ji (Monash Master’s Thesis Project, 2025), Audio Retrieval based on Transformer Models using Text Prompt

22. Sean Murphy (Monash Master’s Thesis Project, 2025), Sparsity as a Lens for Interpretability: Discovering Functional Components in Vision Transformers

23. Vinh Khai Trinh (Monash Master’s Thesis Project, 2025), Image Inpainting using Generative AI

24. Jacob Truong (Monash Master’s Thesis Project, 2025), Advancing Code Generation Large Language Models with Novel Fine-Tuning Approaches

25. Zack Le Tran (Monash Master’s Thesis Project, 2025), Three-Stage Explainable Approach to Improving Text2SQL for Real-World Applications

26. Max Zhang (Monash Master’s Thesis Project, 2026), Stable Reinforcement Learning Fine-Tuning of Text-to-Image Diffusion Models through Multi-Objective Automated Reward.