Artificial Neural Network and Machine Learning Based Methods for Population Estimation of Rohingya Refugees: Comparing Data-Driven and Satellite Image-Driven Approaches. - Nahian Ahmed; Nazmul Alam Diptu; M. Sakil Khan Shadhin; M. Abrar Fahim Jaki; M. Ferdous Hasan; M. Naimul Islam; Rashedur M. Rahman (Vietnam. J. Comput. Sci., 2019)

Machine learning for predicting landslide risk of Rohingya refugee camp infrastructure. - Nahian Ahmed; Adnan Firoze; Rashedur M. Rahman (J. Inf. Telecommun., 2020)

Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping. - Mohammed Sarfaraz Gani Adnan; Md Salman Rahman; Nahian Ahmed; Bayes Ahmed; Md. Fazleh Rabbi; Rashedur M. Rahman (Remote. Sens., 2020)

Classification of Deep-SAT Images under Label Noise. - Mohammad Minhazul Alam; Md Gazuruddin; Nahian Ahmed; Abdul Motaleb; Masud Rana; Romman Riyadh Shishir; Sabrina Yeasmin; Rashedur M. Rahman (Appl. Artif. Intell., 2021)

Effects of Label Noise on Performance of Remote Sensing and Deep Learning-Based Water Body Segmentation Models. - Mustafizur Rahaman; Md. Monsur Hillas; Jannatul Tuba; Jannatul Ferdous Ruma; Nahian Ahmed; Rashedur M. Rahman (Cybern. Syst., 2022)

Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models. - Nahian Ahmed; Mark Roth; Tyler A. Hallman; W. Douglas Robinson; Rebecca A. Hutchinson (AAAI, 2025)