Research

Environmental Systems and Climate Dynamics

This research strand examines the spatiotemporal behavior of climate variables and their effects on terrestrial systems — including vegetation dynamics, land surface temperature, hydrological cycles, and water body monitoring. I use satellite remote sensing and machine learning to reconstruct historical environmental states and detect long-term trends across ecologically sensitive regions such as the Athabasca River Basin and Bangladesh.

Wildfire Science and Natural Disaster Intelligence

Wildfires are among the most rapidly intensifying environmental hazards associated with climate change. My research in this area spans the full fire lifecycle — from early detection and active fire clustering, to spread modeling, burn area delineation, and post-fire ecological recovery. I apply deep learning, spatiotemporal modeling, and multi-source remote sensing data to support more effective fire management and disaster response.

Geospatial AI and Computational Environmental Methods

This strand encompasses the development and application of advanced computational methods — including Geospatial AI (GeoAI), large language models (LLMs), and numerical algorithms — to solve complex environmental problems. My work ranges from optimal finite difference schemes for wave propagation modeling, to deep transfer learning for land use classification, to emerging frameworks that link environmental exposure data with population health outcomes.