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Intelligent Virtual Environment and Simulation (IVES) research group

Autonomous Navigation of AI-Powered Ground Vehicles in Natural Environments

Extreme Weather Prediction Models for WA Cropping Regions

Computing Techniques for Crop Pest Monitoring

Geospatial technologies for crop management

Application of AI and geospatial techniques for watershed and agricultural land management

Predicting dengue and malaria outbreaks in urban areas using remote sensing based expert systems

Hunting for viral sequences and viral remnants in fungal genomes and RNA-seq next-generation sequencing data

Pathogenicity effector discovery via large-scale protein sequence and structure similarity searches

Transformation of maintenance through the use of data science

Applied Artificial Intelligence