Brain-DeepNet: A Deep Learning Based Classifier for Brain Tumor Detection and Classification. - Sultana Umme Habiba; Md. Khairul Islam; Lutfun Nahar; Farzana Tasnim; Mohammad Shahadat Hossain; Karl Andersson 001 (ICO, 2022)

Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer's Disease Detection from MRI Images. - Sultana Umme Habiba; Tanoy Debnath; Md. Khairul Islam; Lutfun Nahar; Mohammad Shahadat Hossain; Nanziba Basnin; Karl Andersson 001 (BI, 2023)

Enhancing Low-Resource Bangla Fake News Detection through Deep Convolutional Neural Networks. - Sultana Umme Habiba; Fatema Tuj Johora; Tanjim Mahmud; Tanpia Tasnim; Farzana Tasnim; Sumaiya Kabir; Mohammad Shahadat Hossain; Karl Andersson 001 (ICO (2), 2023)

A Transfer Learning Based Approach For American Sign Language Recognition Using Deep Convolutional Neural Network. - Aminul Islam; Sultana Umme Habiba; Tanjim Mahmud; Habibur Rahman; Mahmuda Akter Sumi; Nanziba Basnin; Mohammad Shahadat Hossain; Karl Andersson 001 (ICO (2), 2023)

Protein Sequence Classification Through Deep Learning and Encoding Strategies. - Farzana Tasnim; Sultana Umme Habiba; Tanjim Mahmud; Lutfun Nahar; Mohammad Shahadat Hossain; Karl Andersson 001 (ANT/EDI40, 2024)

Short Paper: Prediction of Yarn Fineness Using Computer Vision Based Techniques. - Asef Rahman Dipto; Md. Shahriar Istiaqe; Nazmul Islam; Sultana Umme Habiba; Tarik Reza Toha; Shaikh Md. Mominul Alam (NSysS, 2024)

Monitoring Yarn Shade Variation using Computer Vision Techniques. - Pritom Goswami; Md. Asadul Islam; Md. Washiur Rahman; Avishek Das Gupta; Md. Harunur Rashid Bhuiyan; Sultana Umme Habiba; Anupom Mondol; Tarik Reza Toha; Shaikh Md. Mominul Alam (NSysS, 2024)

Sound-based Fault Detection in Knitting Machine. - Md. Washiur Rahman; Tafannum Mahjabeen; Tarik Reza Toha; Sultana Umme Habiba; Shaikh Md. Mominul Alam (NSysS, 2024)