University of Technology Sydney homepage

FUNDED RESEARCH

My research interests include:

  • Data Science for Earth and Space Intelligence
  • Earth and Space Science Informatics
  • Data Engineering & Analytics
  • Artificial Intelligence and Responsible AI for Environmental Systems
  • Earth Observation and Remote Sensing
  • Environmental Sensing, Mapping, and Modelling
  • Geospatial and Spatiotemporal Data Analysis
  • Time‑Series Image Analysis and Change Detection
  • Vegetation Dynamics and Land Cover/Land Use Change
  • Bushfire Risk Assessment, Modelling, and Mitigation
  • Bushfire Fuel Characterisation, Fire Detection, and Early Warning Systems
  • Modelling Bushfire Impacts Across Diverse Ecosystems
  • Climate Change Impacts on Vegetation and Disturbance Regimes
  • Climate Action, Climate Risk Assessment, and Adaptation Planning
  • Sustainable Agriculture and Environmental Monitoring
  • Advanced and Explainable Machine Learning for Environmental Applications

FUNDED RESEARCH

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Showing page 1, funded research 1 to 4 of 4
  • GRANT
    Bushfire risk modelling for Australian grazing systems with data‑driven sensing analytics
    University of Technology Sydney11 May 2026 - 31 Dec 2026
    People funded by this grant: Abdollahi A, Ramp D, Huang W
    TD Internal Research Funding
  • GRANT
    Remote Sensing of Bushfire Impacts on Livestock Farm Productivity and Sustainability
    University of Technology Sydney1 Jun 2025 - 31 Dec 2025
    People funded by this grant: Abdollahi A, Ramp D, Huang W
    TD Internal Research Funding
  • GRANT
    Advancing EarthSense AI-driven Livestock Farm Management for Climate-Resilient Food Security
    Worldwide Universities Network1 Mar 2025 - 1 Mar 2026
    People funded by this grant: Abdollahi A, Wei, Guy, Daniel, Arturo
    WUN Research Development Fund
  • GRANT
    Merging data science, satellite pollen surveillance, & geospatial methods for tracking respiratory disease health impacts
    University of Technology Sydney31 Jul 2019 - 31 Dec 2020
    People funded by this grant: Pradhan B, Huete A, Ammit A, Sukkar M, Dikshit A
    UTS Collaboration