My research integrates Geography, geospatial science, data science, GeoAI, and artificial intelligence (including OpenAI-based tools) to investigate natural hazards, environmental issues, and disaster resilience. I apply GIS, satellite remote sensing, and machine learning tools to examine natural disaster risk, land use and land cover  dynamics, and climate change related impacts, with the aim of improving predictive capability and supporting stronger community resilience. My earlier National Science Foundation (NSF) funded (award no- 1660447 ); research on Coastal Erosion Vulnerabilities, Monsoon Dynamics, and Human Adaptive Response provided a strong foundation for understanding long-term coastal and fluvial dynamics and spatial patterns of coastal environmental change. This experience continues to shape my current work by deepening my focus on vulnerable coastal ecosystems and the application of geospatial technologies for environmental monitoring. I am committed to translating advanced geospatial and AI-driven approaches into practical application and solutions that enhance societal benefits, support sustainable development, and improve access to environmental awareness. My research also promotes interdisciplinary collaboration across geography, engineering, and computer science, while actively engaging both graduate and undergraduate students in hands on training to develop next generation skills and knowledge in Geography, GeoAI, data science, and climate resilience science.