Nahian Ahmed
I’m a fifth-year Computer Science PhD student at Oregon State University.
I study machine learning, focusing on applications in computational sustainability. I’m also interested in intuitive and engaging ways of learning about machine learning.
Previously, I was an undergraduate student of Computer Science and Engineering, and then a research assistant at North South University.
Google Scholar
GitHub
Professional Services
Program Committee Member
- AAAI [2026]
- AAAI - AI for Social Impact Track [2024, 2025, 2026]
- NeurIPS Workshop on Tackling Climate Change with Machine Learning [2022, 2023, 2024]
- ICLR Workshop on Tackling Climate Change with Machine Learning [2023, 2024]
Conference and Workshop Review
- NeurIPS [2025]
- ICML [2025]
- ICLR Workshop on Tackling Climate Change with Machine Learning [2025]
- NeurIPS Workshop on Computational Sustainability [2023]
Journal Review
- Remote Sensing of Environment
- Scientific Reports
- Ecological Indicators
- IEEE Transactions on Geoscience and Remote Sensing
- IEEE Geoscience and Remote Sensing Letters
- Remote Sensing Letters
Grant Review
- Climate Change AI Innovation Grants [2023, 2024]
Selected Publications
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Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models
N. Ahmed, M. Roth, T.A. Hallman, W.D. Robinson, and R.A. Hutchinson
Proceedings of the AAAI Conference on Artificial Intelligence, 39(27), 27775-27783, 2025.
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Label noise tolerance of deep semantic segmentation networks for extracting buildings in ultra-high-resolution aerial images of semi-built environments
N. Ahmed and R.M. Rahman
Geocarto International, 37(25), 8062-8079, 2022.
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Classification of deep-SAT images under label noise
M.M. Alam, M. Gazuruddin, N. Ahmed, A. Motaleb, M. Rana, R. R. Shishir, S. Yeasmin, and R.M. Rahman
Applied Artificial Intelligence, 35(14), 1196-1218, 2021.
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Dense prediction of label noise for learning building extraction from aerial drone imagery
N. Ahmed, R.M. Rahman, M.S.G. Adnan, and B. Ahmed
International Journal of Remote Sensing, 42(23), 8906-8929, 2021.
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Learning to extract buildings from ultra-high-resolution drone images and noisy labels
N. Ahmed, R.B. Mahbub, and R.M. Rahman
International Journal of Remote Sensing, 41(21), 8216-8237, 2020.
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Improving spatial agreement in machine learning-based landslide susceptibility mapping
M.S.G. Adnan, M.S. Rahman, N. Ahmed, B. Ahmed, M.F. Rabbi, and R.M. Rahman
Remote Sensing, 12(20), 3347, 2020.
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Towards reducing the data gap in the conservation efforts for sea turtles in Bangladesh
R.B. Mahbub, N. Ahmed, and F. Yeasmin
Regional Studies in Marine Science, 35, 101151, 2020.
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Modelling spatio-temporal changes of tropical forest cover in the north-eastern region of Bangladesh
N. Ahmed, R.B. Mahbub, M.M. Hossain, and M. Sujauddin
Journal of Tropical Forest Science, 32(1), 42-51, 2020.
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Solving visual pollution with deep learning: A new nexus in environmental management
N. Ahmed, M. N. Islam, A. S. Tuba, M.R.C. Mahdy, and M. Sujauddin
Journal of Environmental Management, 248, 109253, 2019.
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Human appropriation of net primary production in Bangladesh, 1700–2100
R.B. Mahbub, N. Ahmed, S. Rahman, M.M. Hossain, and M. Sujauddin
Land Use Policy, 87, 104067, 2019.
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Forecasting river sediment deposition through satellite image driven unsupervised machine learning techniques
N. Ahmed, S. Mahmud, M.M.L. Elahi, S. Ahmed, and M. Sujauddin
Remote Sensing Applications: Society and Environment, 13, 435-444, 2019.