Deep Neural Network Approach for Predicting the Productivity of Garment Employees. - Abdullah Al Imran; Md Nur Amin; Md. Rifatul Islam Rifat; Shamprikta Mehreen (CoDIT, 2019)

Loan Charge-Off Prediction Including Model Explanation for Supporting Business Decisions. - Abdullah Al Imran; Md Nur Amin (ISDA, 2020)

Predicting the Return of Orders in the E-Tail Industry Accompanying with Model Interpretation. - Abdullah Al Imran; Md Nur Amin (KES, 2020)

Deep Bangla Authorship Attribution Using Transformer Models. - Abdullah Al Imran; Md Nur Amin (CSoNet, 2021)

An End-to-end Machine Learning System for Mitigating Checkout Abandonment in E-Commerce. - Md. Rifatul Islam Rifat; Md Nur Amin; Mahmud Hasan Munna; Abdullah Al Imran (FedCSIS, 2022)

Encoding Techniques on Multivariate Time Series Signals for Failure Prevention of Industrial Assets with Unsupervised Deep Anomaly Detection. - Fatih Bayram; Md Nur Amin; Aleksandra Melke; Roland Schneider; Roman Radtke; Alexander Jesser (ICPS, 2023)

Real-Time Anomaly Detection with LSTM-Autoencoder Network on Microcontrollers for Industrial Applications. - Md Nur Amin; Lea Hubner; Fatih S. Bayram; Alexander Jesser (ICGSP, 2024)

Bounded Degradation in Latent Representation Under Bias Subspace Removal. - Md Nur Amin; Phil Nemeth; Alexander Jesser (FLAIRS, 2025)

Evolving Knowledge Graphs for Bias Aware Synthetic Persona Representation. - Md Nur Amin; Alexander Jesser; Phil Nemeth (ICCAE, 2025)

Riemannian Geometry for Fairness in Attention Mechanisms of Language Models. - Md Nur Amin; Alexander Jesser (ICSC, 2025)