Completed
Postdoctoral Project
Study 4 – Trainable Radios [A collaboration of UniSQ and the Australian Department of Defence, along with RMIT, Flinders University and The University of Sydney]
The Internet of Space Things – Using Commercial Grade Radios [Office of National Intelligence]
Artificial Intelligence for Decision-Making (AI4DM) [Queensland Defence Science Alliance]
Research Training and PhD Projects
Artificial Intelligence (AI)-enabled Communication Systems [A collaboration of UniSQ and the Australian Department of Defence, along with RMIT, Flinders University and The University of Sydney]
Atmospheric Visibility And Cloud Cover Forecasting With Novel Artificial Intelligence Methods For Fiji’s Aviation Sector
Artificial intelligence informed simulation of dissolved Inorganic Nitrogen from un-gauged catchments to the Great Barrier Reef
Solar ultraviolet radiation predictions under cloud cover effects with artificial intelligence approaches
Advancing Stochastic Wind Speed Forecasting Methods with Novel Hybrid Deep Learning Techniques
Evaporation and soil moisture prediction with artificial intelligence and deep learning methods
Artificial Intelligence and Clean Air: Development of Novel Algorithms with Machine Learning and Deep Learning
Development of Deep Learning Hybrid Models for Hydrological Predictions
Development of flood risk monitoring and forecasting system with artificial intelligence predictive models for community risk management in Fiji
Development of data intelligent models for electricity demand forecasting: case studies in the state of Queensland, Australia
Predictive modelling of global solar radiation with artificial intelligence approaches using MODIS satellites and atmospheric reanalysis data for Australia
Copula-based statistical modelling of synoptic-scale climate indices for quantifying and managing agricultural risks in Australia
Coloured image classification with quantum machine learning algorithms for intelligent transportation systems
Using machine learning based emulators for the sensitivity analysis of process-driven biophysical models.
Nuclear ribosomal DNA secondary structures and statistical approach for the phylogeny of Ampelomyces.
Developing artificial intelligence models for classification of brain disorder diseases based on statistical techniques
An integrated systems model for sustainable agricultural development under changing climate: a case study in a coffee production system in Viet Nam
Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images
Development of deep learning predictive models for short-term solar radiation forecasting: case study in Vietnam
Development and evaluation of data-driven models for electricity demand forecasting in Queensland, Australia
Development and Comparison of Data-driven Models for Wind Speed Forecasting in Australia
Forecasting seasonal rainfall with copula modelling approach for agricultural stations in Papua New Guinea
Stream-flow and soil moisture forecasting with hybrid data intelligent machine learning approaches: case studies in the Australian Murray-Darling basin
Development of statistical and geo-spatial-based framework for drought-risk assessment.
MSC Projects
Artificial Intelligence and Machine Learning Methods for EEG Signal Classification
Drought modelling using Artificial intelligence: A case study in Fiji.
Development and Evaluation of ANN Model For Prediction of Australian GDP
Estimation of Rooftop Solar Photovoltaic Generation in the Context of Queensland Electricity Distribution Network
Future Climate Projection: Downscaling Global Circulation Models with Deep Learning for Solar Energy Applications
Short-Term Electrical Energy Demand Prediction under Heat Island Effects Using Emotional Neural Network Integrated with Genetic Algorithm
Development Of Support Vector Machine Model For Multi-Step Wind Speed Forecasting In Australia
Development and Evaluation of MARS Model for Prediction of Global Solar Radiation in Regional Queensland
Development of Artificial Neural Network Model for the prediction of Daily Steadman Heat Index in Australia.
An ensemble-ANFIS and a hybrid SOM-ANFIS based model for stock market variable forecasting
Wind Speed Forecasting in Nepal using Self Organizing Map based Online Sequential Extreme Learning Machine (SOM-OSELM)
Modelling Photosynthetic Active Radiation with a Hybrid Multilayer Perceptron-Firefly Optimizer Algorithm
Industry Research Projects
Quantum Machine Learning & Quantum Signal Processing, Industry-based PhD (CSIRO Data61)
AI and ML for Signal Processing, Australian Postgraduate Research Internship (Senetas Corporation Ltd)
Bias Correction in Numerical Weather Simulation Models for Solar Generation, Australian Postgraduate Research Internship (CS Energy Ltd)
AI-enabled Communication Systems, Australian Postgraduate Research Internship (Department of Defence)
Big Data for Multipurpose Surveys, Australian Postgraduate Research Internship (Australian Bureau of Statistics)
Machine Learning Automation of Whole of Government Transactions, Australian Postgraduate Research Internship (Queensland Government Confirm IT Department)
Current Ongoing Projects
AIDFAN – AI based data Fusion and Air Quality Nowcasting
Artificial Intelligence for Waveform Generation
Stakeholder Body & Industry Interactions
Australian Department of Defence
Australian Office of National Intelligence
Australian Bureau of Statistics
Queensland Government Confirm IT Department
CS Energy
Energy Queensland
Nexus Online Pty Ltd
Cogninet AI (Cogninet Australia Pty Ltd)
Senetas Corporation
