A Hybrid Deep Learning System to Detect Face-Mask and Monitor Social Distance. - Lutfun Nahar; Nanziba Basnin; Sirazum Nadia Hoque; Farzana Tasnim; Mohammad Shahadat Hossain; Karl Andersson 001 (AII, 2022)

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)

An IoT Prototype for Monitoring Covid19 Patients Using Real Time Data from Wearable Sensor Through Android App. - Zinnia Sultana; Lutfun Nahar; Sharmin Sultana; Farzana Tasnim; Mohammad Shahadat Hossain; Karl Andersson 001 (ICO, 2022)

An Encoding and Decoding Technique to Compress Huffman Tree Size in an Efficient Manner. - Zinnia Sultana; Lutfun Nahar; Farzana Tasnim; Mohammad Shahadat Hossain; Karl Andersson 001 (ICO, 2022)

Lossy Compression Effect on Color and Texture Based Image Retrieval Performance. - Zinnia Sultana; Lutfun Nahar; Farzana Tasnim; Mohammad Shahadat Hossain; Karl Andersson 001 (ICO, 2022)

Improved and Intelligent Heart Disease Prediction System Using Machine Learning Algorithm. - Nusrat Alam; Samiul Alam; Farzana Tasnim; Sanjida Sharmin (MIET (1), 2022)

Machine Learning Models to Identify Discriminatory Factors of Diabetes Subtypes. - Shahriar Hassan; Tania Akter; Farzana Tasnim; Md. Karam Newaz (MIET (2), 2022)

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)

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)

Elevating E-Service Standards in Bangladesh: Merging FAHP and TOPSIS for Strategic Online Business Solutions. - Farzana Tasnim; Tanjim Mahmud; Shefayatuj Johara Chowdhury; Tasnia Fahrin Choity; Aisha Ahmed; Mohammad Saeed Hasan Chowdhury; Mohammad Shahadat Hossain; Karl Andersson 001 (IEEE Access, 2025)