Fields of Research

Intelligent robotics
Natural language processing
Computer vision
Knowledge representation and reasoning
Artificial life and complex adaptive systems
Applications in health
Artificial intelligence
Neurology and neuromuscular diseases
Neural networks
Geriatrics and gerontology
Autonomous agents and multiagent systems
Deep learning
Aquaculture and fisheries stock assessment
Ecological impacts of climate change and ecological adaptation
Rural and remote health services
Climatology
Aged health care
Maritime transportation and freight services
Cognition
Testing, assessment and psychometrics
Computational modelling and simulation in earth sciences
Mixed initiative and human-in-the-loop
Modelling and simulation
Higher education
Glaciology
Pattern recognition
Fisheries management
Pervasive computing
Machine learning

Research Objectives

Health related to ageing
Information systems, technologies and services
Artificial intelligence
Diagnosis of human diseases and conditions
Legal processes
Defence
Wild caught crustaceans (excl. rock lobster and prawns)
Maritime
Emerging defence technologies
Behaviour and health
Mental health services
Assessment and management of coastal and estuarine ecosystems
Human-computer interaction
Ecosystem adaptation to climate change
Learner and learning
Intelligence, surveillance and space
Evaluation of health outcomes
Effects of climate change on Antarctic and sub-Antarctic environments (excl. social impacts)
Visual communication
Agricultural and environmental standards and calibrations
The media
Telehealth
Autonomous and robotic systems
Autonomous water vehicles
Higher education
Health education and promotion
Professional development and adult education

Career Best Publications

Research Publications

A Self-learning Approach for Beggiatoa Coverage Estimation in Aquaculture; AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference
A survey: from shallow to deep machine learning approaches for blood pressure estimation using biosensors; Expert Systems With Applications
Analysis of concept drift in fake reviews detection; Expert Systems with Applications
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network; IET Computer Vision
Compositional neural logic programming; 30th International Joint Conference on Artificial Intelligence
Data augmentation with generative adversarial networks for grocery product image recognition; 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition; IEEE Transactions on Multimedia
Deep learning for retail product recognition: challenges and techniques; Computational Intelligence and Neuroscience
Differences in clinical manifestations of late onset, compared to earlier onset essential tremor: a scoping review; Journal of the neurological sciences
dpUGC: Learn differentially private representation for user generated contents
dpUGC: Learn differentially private representation for user generated contents; 20th International Conference on Computational Linguistics and Intelligent Text Processing
ETNLP: A visual-aided systematic approach to select pre-trained embeddings for a downstream task; Recent Advances in Natural Language Processing International Conference
Fake reviews detection: A survey; IEEE Access
Generalising the discriminative restricted Boltzmann machines; 26th International Conference on Artificial Neural Networks: Artificial Neural Networks and Machine Learning
Hand tremor detection in videos with cluttered background using neural network based approaches; Health Information Science and Systems
Human identification via unsupervised feature learning from UWB radar data; 2018 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018): Advances in Knowledge Discovery and Data Mining
Improving multi-resident activity recognition for smarter homes; International Joint Conference on Artificial Intelligence - Workshop on AI for Internet of Things
Improving recurrent neural networks with predictive propagation for sequence labelling; 25th International Conference on Neural Information Processing (ICONIP 2018)
Mixed-dependency models for multi-resident activity recognition in smart homes; Multimedia Tools and Applications
Multi-resident activity monitoring in smart homes: a case study; 2018 IEEE International Conference on Pervasive Computing and Communications Workshops
Neural-symbolic computing: An effective methodology for principled integration of machine learning and reasoning; Journal of Applied Logics
Neural-symbolic probabilistic argumentation machines; 17th International Conference Principles of Knowledge Representation and Reasoning
New horizons in late-onset essential tremor: a pre-cognitive biomarker of dementia?; Age and Ageing
On multi-resident activity recognition in ambient smart-homes; Artificial Intelligence Review
Probabilistic approaches for music similarity using restricted Boltzmann machines; Neural Computing and Applications
Real-time automated detection of older adults’ hand gestures in home and clinical settings; Neural Computing and Applications
Sentimental Analysis for AIML-Based E-Health Conversational Agents; Neural Information Processing: ICONIP 2018
Sequence classification restricted Boltzmann machines with gated units; IEEE Transactions on Neural Networks and Learning Systems
Some algorithms to solve a bi-objectives problem for team selection; Applied Sciences
Speaker recognition with hybrid features from a deep belief network; Neural Computing and Applications
Towards Multi-resident Activity Monitoring with Smarter Safer Home Platform; Smart Assisted Living. Computer Communications and Networks
Unsupervised neural-symbolic integration; International Joint Conference on Artificial Intelligence - Workshop on Explainable AI

Research Projects

Augmented Reality Remote Assistance system for managing rural patients; CSIRO-Commonwealth Scientific & Industrial Research Organisation (CSIRO)
Development of a computational model of adversarial decision making to support human-AI teaming in the undersea environment; Defence Science and Technology Group (DSTG)
Giant Crab Enhanced Data Collection - Innovative approaches to enhance data collection in the Victorian, South Australian and Tasmanian Giant crab fisheries; Fisheries Research & Development Corporation (FRDC)
Neuro-Symbolic for Reasoning with Uncertain Temporal Graph Knowledge; Defence Science Institute (DSI)

Research Candidate Supervision