University of Arkansas
Graduate Student, Environmental Dynamics | 2021 - Present
North South University
BS in Environmental Science | 2015 - 2018
- Programming
- Python
- R
- Julia
- Google earth engine (Java)
- Software
- Microsoft office
- ArcGIS
- QGIS
- SPSS
- Operating system
- Linux
- MacOS
- Windows
- Graduate Research Assistant, University of Arkansas | January 2021 - Present
- Modelling methane and carbon flux of rice ecosystem
- Quantifying optimum air temperature for rice paddies
- Undergraduate Research Assistant, North South University | January 2017- December 2020
- Human appropriation of net primary productivity of Bangladesh
- Modeling spatio-temporal change of Sylhet Forest Division
- Building extraction of Rohingya refugee camps System
- Intern, Cooperation for Resource Efficiency | January 2018 – December 2018
- Developing industrial symbiotic networks
- Determining the hotspots of air pollution in Bangladesh
- Teaching Assistant, North South University | Fall semester, 2018
- Grading exam papers
- Assisting faculty in publishing exams result
- Program Associate, Save Our Sea | 2016 – 2017
- Applying decision tree classifier to model the nesting preferences using different ecological features
- Land use change of the beach due to anthropogenic disturbances is calculated using satellite image analysis.
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, 104067. https://doi.org/10.1016/j.landusepol.2019.104067 (IF: 3.573) (ELSEVIER)
Ahmed, N., Mahbub, R. B., Hossain, M. M., & Sujauddin, M. (2019). Modelling spatio-temporal changes of forest cover in the northeastern region of Bangladesh: context of traditional and co-management paradigms. Journal of Tropical Forest Science, 32(1) https://doi.org/10.26525/jtfs32.1.42 (IF: 0.655) (JSTOR)
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, 101151 https://doi.org/10.1016/j.rsma.2020.101151 (IF: 1.462) (ELSEVIER)
Ahmed, N., Mahbub, R. B., Rahman, M.R. Learning to extract buildings from ultra-high-resolution drone images and noisy labels. International Journal of Remote Sensing, 1-22 https://doi.org/10.1080/01431161.2020.1763496 (IF: 1.724) (Taylor & Francis)