Interpretable COVID-19 Classification Leveraging Ensemble Neural Network and XAI. - Shakib Mahmud Dipto; Irfana Afifa; Mostofa Kamal Sagor; Md Tanzim Reza; Md. Ashraful Alam (BIOMESIP, 2021)

A Power Efficient Solution to Determine Red Blood Cell Deformation Type Using Binarized DenseNet. - Md Tanzim Reza; Shakib Mahmud Dipto; Mohammad Zavid Parvez; Prabal Datta Barua; Subrata Chakraborty (ACR, 2023)

PNEXAI: An Explainable AI Driven Decipherable Pneumonia Classification System Leveraging Ensemble Neural Network. - Shakib Mahmud Dipto; Md Tanzim Reza; Nasrin Akhter; Nadia Tasnim Mim; Md. Ashraful Alam (AIIoT, 2023)

An XAI Integrated Identification System of White Blood Cell Type Using Variants of Vision Transformer. - Shakib Mahmud Dipto; Md Tanzim Reza; Md Nowroz Junaed Rahman; Mohammad Zavid Parvez; Prabal Datta Barua; Subrata Chakraborty (ICR, 2023)

AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder. - Aminul Huq; Md Tanzim Reza; Shahriar Hossain; Shakib Mahmud Dipto (CoRR, 2023)

On Handling AI Tasks in CPU with Low Latency and High Performance. - Noman Hossain; Shakib Mahmud Dipto; Sovon Chakraborty; Sahal Bin Saad; Zareen Tasneem; Abu Kowsar; Farjana Islam (ICAISC (2), 2024)

An Analytical Review of Preprocessing Techniques in Bengali Natural Language Processing. - Sovon Chakraborty; Protiva Das; Shakib Mahmud Dipto; Md. Aktaruzzaman Pramanik; Jannatun Noor (IEEE Access, 2025)

A workflow for generating synthetic LiDAR datasets in simulation environments. - Abhishek Phadke; Shakib Mahmud Dipto; Pratip Rana (CoRR, 2025)