プロフィール詳細

プロジェクトを作成

★★★★★

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★★★★★

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Dr. Riasad Bin M.に依頼

United States

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

プロフィール概要

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.

専門分野

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

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting, Regulatory Consulting

Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Big Data Analytics, Data Processing

Product Development Quality Assurance & Control (QA/QC)

職務経験

Senior Graduate Assistant

University of Arkansas at Fayetteville

1月 2021 - 現在

Research Assistant

North South University

1月 2017 - 2018

学歴

PhD

University of Arkansas - Fayetteville - United States

1月 2021 - 5月 2026

MS

University of Arkansas - Fayetteville - United States

1月 2021 - 8月 2023

BS (Environmental Science and Management)

North South University

2015 - 2018

認定資格

• 認定資格の詳細は未入力です。

出版物

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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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.