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Dr. Thinley has been involved in conceptualizing and executing funded research grants. His previous research has been supported by reputable institutions including the European Space Agency (ESA), ETH Zurich, Swiss National Science Foundation (SNSF), and University of Fribourg through competitive funding exceeding AUD 1.2 million. Dr. Thinley’s work has produced high impact publications, advanced data-driven models for biodiversity monitoring and disaster management, and shaped national policies in climate adaption and forestry innovation.
Dr. Thinley has just completed his PhD research at the Griffith University (Australia) where he focused on developing intelligent machine learning models for estimating biomass in planted and native forests of Australia. Beyond the PhD work, he has collaborated in other projects applying AI, Remote Sensing, and Cloud-based Geospatial Systems for assessing anthropogenic influences on underground water resources in the Northern Territory, Post-cyclone assessment in Queensland and Bushfire mapping in the eastern Australia.
Dr. Thinley’s vision is to contribute and strengthen Australia’s leadership in AI-driven and Environmental Technologies by establishing an Environmental Intelligence Innovation Hub, fostering collaboration between academia, industry, and government. His work directly aligns with Australia’s National Reconstruction Fund priorities, addressing sustainability, digital transformation, and sovereign capability in advanced manufacturing, AgriTech, and AI.