Bangla Talking Calculator for Visually Impaired Students in Bangladesh. - Lutfun Nahar; Azizah Jaafar (IVIC, 2015)

Mathematics Education and Accessible Technologies for Visually Impaired Students in Bangladesh. - Lutfun Nahar; Azizah Jaafar; Riza Sulaiman (IVIC, 2017)

Users' Perception on Usability Aspects of a Braille Learning Mobile Application 'mBRAILLE'. - Lutfun Nahar; Riza Sulaiman; Azizah Jaafar (IVIC, 2019)

An Intelligent System to Diagnose Chikungunya under Uncertainty. - Mohammad Shahadat Hossain; Zinnia Sultana; Lutfun Nahar; Karl Andersson 001 (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2019)

An Integrated CNN-LSTM Model for Micro Hand Gesture Recognition. - Nanziba Basnin; Lutfun Nahar; Mohammad Shahadat Hossain (ICO, 2020)

An Approach to Assess Air Quality using Deep Learning with BRB. - Asfia Kawnine; Zinnia Sultana; Lutfun Nahar (AICCC, 2021)

Inference and Learning Methodology of Belief Rule Based Expert System to Assess Chikungunya. - Zinnia Sultana; Lutfun Nahar; Nanziba Basnin; Mohammad Shahadat Hossain (AII, 2021)

A Deep Learning-Based Ophthalmologic Approach for Retinal Fundus Image Analysis to Detect Glaucoma. - Lutfun Nahar; Mohammad Shahadat Hossain; Promi Das; Tanzeem Alam; Karl Andersson 001 (TCCE, 2021)

"Bangla Braille learning application" in smartphones for visually impaired students in Bangladesh. - Lutfun Nahar; Riza Sulaiman; Azizah Jaafar (Interact. Learn. Environ., 2021)

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)

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)

DeepCornerNet: A Deep Learning Approach for Automated Corner Grading in Trading Cards. - Lutfun Nahar; Md. Saiful Islam 003; Mohammad Awrangjeb; Rob Verhoeve; Gervase Tuxworth (DICTA, 2023)

Advancing Safety Through IoT: Gas Detection and Automation Systems. - Tasmina Akter Rupina; Pusmita Barua; Israt Binteh Habib; Tanjim Mahmud; Lutfun Nahar; Nusrat Zahan; 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)

Edge Grading in Trading Cards Using Transfer Learning: Methods, Experiments, and Evaluation. - Lutfun Nahar; Md. Saiful Islam 003; Mohammad Awrangjeb; Rob Verhoeve (IEEE Big Data, 2024)

MediSign: An Attention-Based CNN-BiLSTM Approach of Classifying Word Level Signs for Patient-Doctor Interaction in Hearing Impaired Community. - Md. Amimul Ihsan; Abrar Faiaz Eram; Lutfun Nahar; Muhammad Abdul Kadir (IEEE Access, 2024)

Design and evaluation of a geometry learning application for visually impaired students. - Lutfun Nahar; Riza Sulaiman (Educ. Inf. Technol., 2025)