Machine Learning for Decision Support (MLDS) Group
School of Information Technology
Research Areas
- Robust, flexible and interpretable machine learning
- Machine/Deep Learning
- Learning from heterogenous, noisy, and small data
- Similarity/Kernel-based Learning
- Light-weight and distributed machine learning
- Computer Vision
- Random and Ensemble-based methods
- Natural Language Processing
- Anomaly Detection, Clustering, Information Retrieval
- Machine Condition Monitoring
- Reinforcement Learning
- Remote Sensing
Current and Past Research Projects
- 2023-2026: Machine Learning in Heterogeneous Data from Multiple Sources (Partner: Air Force Office of Scientific Research United States of America).
- 2023-2026: Contributions to Edge and Multimodal Machine Learning (Partner: Technology Innovation Institute - Sole Proprietorship LLC).
- 2023: Design and delivery of a Graduate Certificate of Secondary Digital Technologies (Partner: DETVic Grant - Research - Department of Education and Training Victoria).
- 2020-2022: Developing robust framework for practical data mining (Partner: Asian Office of Aerospace Research and Development).
- 2021-2022: Utilizing Extractive - Abstractive Summarization for Understanding the Narrative of Social Media Users from Multimodal Data (Partner: The Office of National Intelligence).
- 2021-2022: A competency-aware multi-agent framework for human-machine teams in adversarial environments (Partner: DSTO Grant - Research - Defence Science & Technology Organisation).
- 2020-2021: Ensemble Learning for Outlier Detection (Partner: DSTO contract).
- 2021: Modeling Adversary Intent Using Multiobjective Reinforcement Learning (Partner: DSTO Grant - Research - Defence Science & Technology Organisation).
- 2021: Modeling Adversary Intent Using Multiobjective Reinforcement Learning (Partner: DSTO Grant - Research - Defence Science & Technology Organisation).