I’m a third year Computer Science PhD student at Oregon State University, advised by Dr. Rebecca Hutchinson. I study machine learning, focusing on model evaluation, and applications in computational sustainability. I’m also interested in intuitive and engaging ways of learning about machine learning.

Previously, I had the opportunity to work with Dr. Mohammad Rashedur Rahman and Dr. Mohammad Sujauddin at  North South University.

ahmedna AT oregonstate DOT edu
nahian DOT shafin DOT ahmed AT gmail DOT com

CV (pdf)
Google Scholar
GitHub

Professional Services

Program Committee Member and Reviewer
  •  AAAI 2024 Special Track : AI for Social Impact
  •  ICLR 2024 Workshop : Tackling Climate Change with Machine Learning
  •  ICLR 2023 Workshop : Tackling Climate Change with Machine Learning
  •  NeurIPS 2023 Workshop : Tackling Climate Change with Machine Learning 
  •  NeurIPS 2022 Workshop : Tackling Climate Change with Machine Learning

Grant Reviewer
  •  Climate Change AI Innovation Grants 2023

Reviewer
  •  NeurIPS 2023 Workshop : Computational Sustainability
  •  Remote Sensing of Environment
  •  Scientific Reports 
  •  Ecological Indicators
  •  IEEE Geoscience and Remote Sensing Letters
  •  Remote Sensing Letters

Selected Publications

“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.

“Effects of Label Noise on Performance of Remote Sensing and Deep Learning-Based Water Body Segmentation Models“
M. Rahaman, M.M. Hillas, J. Tuba, J.F. Ruma, N. Ahmed, and R.M. Rahman
Cybernetics and Systems, 53(6), 581-606, 2022.

“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.

“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.

“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.

“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.

“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.

“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.

“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

“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.

“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.