Welcome! I'm MD Mozammel Hoque
Researcher and Data Analyst at Trent University
A researcher interested in mathematical physics and machine learning. My work focuses on developing computational models to simulate, predict, and optimize physical systems. I am passionate about research that bridges theoretical insight with real-world applications, and I aim to contribute to the future of science through accessible, rigorous scholarship. I hope that the work I do can help shape the future of academia.
📄View CV
Research Areas
🛰️Remote Sensing of Forest Ecosystems
Analysis of satellite, UAV, and field data to monitor forest health, land-cover change, and degradation trends. Focus on developing quantitative indicators for ecosystem assessment using advanced GIS and machine learning techniques.
🌎Climate Change Impacts on Forests
Studying the long-term effects of climate change on forest ecosystems through modeling and projection of future scenarios using multispectral satellite imagery and statistical analysis.
🛰️Geospatial Machine Learning
Designing and implementing AI/ML pipelines (including SVM and ANN) for automated land-cover classification, forest-degradation detection, and environmental monitoring.
🌎Forest Disturbance & Wildfire Analysis
Application of remote sensing and GIS for wildfire risk assessment, fire-behaviour modelling, and understanding the ecological impact of natural and anthropogenic disturbances.
🛰️Capacity Building in GIS & Statistics
Development of educational resources, lab manuals, and hands-on training for undergraduate and professional audiences in GIS, remote sensing, and statistical methods.
Projects
Climate-Driven Forest Degradation Modeling
Developed and validated machine learning models to project future forest degradation in Ontario using long-term satellite imagery and climate data.
High-Resolution Land-Cover Mapping
Created sub-10m accuracy land-cover classification maps from multispectral and UAV data for ecosystem monitoring and environmental management.
Educational Resource Development for GIS & Remote Sensing
Authored and updated laboratory manuals and tutorials to support university-level teaching in GIS, remote sensing, and statistics.
FAO GIS Project – Bangladesh
Led the implementation of a GIS-based mountain development project, including land-use change mapping and capacity building for local communities.