Research
Advancing GIS and AI for a Smarter Future
Advancing GIS and AI for a Smarter Future
My research explores the intersection of Geographic Information Systems (GIS), Artificial Intelligence (AI), and Machine Learning (ML) to address real-world challenges. With a focus on geospatial intelligence, deep learning, and smart city technologies, I aim to push the boundaries of innovation in data-driven decision-making and urban development.
Investigated the integration of aerial thermal imaging with deep learning models to enhance object detection and environmental analysis, with applications in urban planning and disaster management.
Published: International Journal of Innovative Technology and Exploring Engineering, 2019
Developed cloud-based analytics frameworks for mobile positioning data, enabling real-time geospatial insights for transportation and smart city applications.
Published: International Journal of Engineering and Advanced Technology, 2019
Explored the application of LLMs in geospatial data interpretation and natural language processing, presented at the International Business Analytics Conference, SUNY Fredonia, 2024.
Presented: May 2024
Designed and evaluated mobile GIS systems leveraging GPS and emerging technologies for efficient data collection, with a focus on Android-based ArcGIS solutions.
Presented: International Conference of Advance Research and Innovation, 2014
See my full list of publications here.