Distinguished ProfessorBiswajeet Pradhan

Teaching

Professor Pradhan teaches across Geographic Information Systems (GIS), remote sensing, Earth observation, GeoAI, spatial modelling, environmental risk assessment, and geospatial technologies. His teaching integrates theoretical foundations with practical applications in environmental monitoring, infrastructure management, disaster risk reduction, and sustainable development.

His current teaching contributions at UTS include:

• 48320 Surveying – GIS, spatial data acquisition, remote sensing, and geospatial technologies for surveying and engineering applications
• 49257 Geographic Information Systems – GIS principles, spatial analysis, environmental modelling, and geospatial decision support
• 42066 Planning, Field Investigation and Monitoring for Tunnels – remote sensing, LiDAR, InSAR, GIS, digital monitoring, and geospatial technologies for tunnel and infrastructure asset management

Career Teaching Areas

• Geographic Information Systems (GIS)
• Remote Sensing and Earth Observation
• Radar Image Processing and SAR Applications
• GIS for Engineers
• Environmental Modelling and Spatial Analysis
• Disaster Forecasting and Early Warning Systems
• Hazard, Risk and Engineering Ethics
• Research Methodology and Scientific Writing
• Machine Learning and GeoAI Applications
• Spatial Modelling and Geocomputing
• Earth Observation for Environmental Monitoring
• Geospatial Technologies for Infrastructure and Asset Management

His teaching philosophy focuses on integrating artificial intelligence, Earth observation, and spatial intelligence to address real-world environmental, engineering, and societal challenges.

Supervision

Professor Pradhan has successfully supervised more than 55 PhD candidates, together with numerous Master’s and Honours students. His graduates hold academic, government, research, and industry positions across Australia and internationally.

He welcomes enquiries from prospective Higher Degree Research candidates interested in GeoAI, Earth observation, remote sensing, GIS, spatial modelling, environmental risk analytics, infrastructure monitoring, and natural hazard assessment.

Prospective HDR supervision areas include:

• GeoAI and spatial intelligence
• Remote sensing and Earth observation
• GIS-based environmental and infrastructure modelling
• Landslide, flood, debris-flow, drought, and multi-hazard risk assessment
• SAR, InSAR, LiDAR, UAV, and satellite-based monitoring
• Climate-risk modelling and environmental change assessment
• Spatial decision-support systems for sustainability and disaster risk reduction
• Digital twins, tunnel monitoring, and infrastructure resilience
• Machine learning and deep learning for geospatial and environmental applications

Relevant FoR-aligned supervision areas include:

• Geospatial information systems and geospatial data modelling (401302)
• Photogrammetry and remote sensing (401304)
• Natural hazards (370903)
• Environmental assessment and monitoring (410402)
• Climate change impacts and adaptation (4101)
• Civil geotechnical engineering (400502)
• Artificial intelligence (4602)
• Machine learning (4611)
• Deep learning (461103)
• Spatial data and applications (460106)

Professor Pradhan’s supervision focuses on developing globally competitive researchers capable of integrating geospatial technologies, Earth observation, artificial intelligence, and advanced modelling techniques to address complex environmental, engineering, and societal challenges.