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Hire Riasad Bin M.

United States

USD 20 /hr

GIS Mapping | Statistical & Machine Learning Modeling | Environmental Footprint & LCA Expert

Profile Summary

I am a Ph.D.-trained environmental scientist (University of Arkansas, 2026) specializing in geospatial analysis, remote sensing, statistical modeling, and sustainability assessment. My research focuses on integrating satellite data, field measurements, and machine learning approaches to analyze agricultural and forested ecosystems, with particular expertise in crop productivity, methane emissions, and carbon dynamics. I have extensive experience working with GIS platforms (ArcGIS, QGIS), Google Earth Engine, Harmonized Landsat–Sentinel datasets, vegetation indices (NDVI, kNDVI, IAVI, VARI), and eddy covariance flux data. My work includes building machine learning models (e.g., Random Forest, regression frameworks) to improve predictions of gross primary productivity (GPP), greenhouse gas fluxes, and crop phenology at field scale. I regularly process large environmental datasets, perform statistical and uncertainty analysis, and develop reproducible workflows in Python and R. In addition to remote sensing and modeling, I conduct sustainability analyses including greenhouse gas quantification, carbon accounting, and environmental footprint assessments. My work supports agricultural sustainability, climate-smart management, environmental monitoring, and data-driven decision-making for research institutions and public agencies. I am particularly interested in projects involving GIS mapping, statistical and machine learning modeling, life cycle assessment (LCA), carbon and methane emissions analysis, and environmental impact evaluation. I bring strong analytical skills, clear scientific communication, and the ability to translate complex environmental data into actionable insights.

Subject Matter Expertise

• ☆ Remote Sensing
• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Earth & Atmospheric Science
• ☆ Geographic Information Systems (GIS)
• ☆ R

Services

• Writing

Writing Technical Writing

Work Experience

Senior Graduate Assistant

University of Arkansas at Fayetteville

January 2021 - Present

Research Assistant

North South University

January 2017 - 2018

Education

BS (Environmental Science and Management)

North South University

2015 - 2018

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Riasad Bin Mahbub, Michele L. Reba, Benjamin R.K. Runkle (2025). Magnitude, drivers, and patterns of gross primary productivity of rice in Arkansas using a calibrated vegetation photosynthesis model . Agricultural and Forest Meteorology.

Riasad Bin Mahbub, Nahian Ahmed, Rashedur M. Rahman (2020). Learning to extract buildings from ultra-high-resolution drone images and noisy labels . International Journal of Remote Sensing.

Ahmed, N., Mahbub, R.B., Hossain, M.M., Sujauddin, M.(2020). Modelling spatio-temporal changes of tropical forest cover in the north-eastern region of Bangladesh: Context of traditional and co-management paradigms . Journal of Tropical Forest Science. 32. (1). p. 42-51.

Mahbub, R.B., Ahmed, N., Yeasmin, F.(2020). Towards reducing the data gap in the conservation efforts for sea turtles in Bangladesh . Regional Studies in Marine Science. 35.

Mahbub, R.B., Ahmed, N., Rahman, S., Hossain, M.M., Sujauddin, M.(2019). Human appropriation of net primary production in Bangladesh, 1700–2100 . Land Use Policy. 87.