Journals
8. Shahnaj Parvin*, Liton Jude Rozario, Md. Ezharul Islam, “Artificial intelligence in breast cancer diagnosis: A systematic review of imaging modalities, methods, and datasets,” Informatics in Medicine Unlocked, Volume 64, pp. 101786, 2026. Doi: https://doi.org/10.1016/j.imu.2026.101786 [Elsevier; CiteScore: 10.5]
7. Shahnaj Parvin, Foysal Munsy, Md Tanzeem Rahat, Aminun Nahar, Kamruddin Nur, Debasish Ghose, "Robust multi-weather pothole detection: An enhanced YOLOv9 trained on the MWPD dataset", Results in Engineering, Volume 28, 107817, 2025. Doi: https://doi.org/10.1016/j.rineng.2025.107817 [Elsevier; Impact Factor: 9.4]
6. Rahul Biswas, Md. Faruk Abdullah Al Sohan, Rifat Al Mamun Rudro, Shahnaj Parvin, “VGG19-ResSE: an optimized hybrid model for accurate segmentation and classification of vitiligo lesions.” Neural Comput & Applic, volume 37, pp. 27227–27248, 2025. Doi: https://doi.org/10.1007/s00521-025-11670-z [Springer Nature; Impact Factor: 5.1]
5. Shahnaj Parvin, Abdur Rahman, “A real-time human bone fracture detection and classification from multi-modal images using deep learning technique”, Applied Intelligence, Springer, vol 54, no.19, pp. 9269-9285, 2024. Doi: https://doi.org/10.1007/s10489-024-05588-7 [Springer Nature; Impact Factor: 3.5]
4. Shahnaj Parvin, Md. Ezharul Islam, and Liton Jude Rozario, “Nighttime Vehicle Detection Methods Based on Headlight Feature: A Review,” IAENG International Journal of Computer Science, vol. 49, no.1, pp. 79-93, March 2022.
3. Shahnaj Parvin, Liton Jude Rozario, Md. Ezharul Islam, “Vehicle Number Plate Detection and Recognition Techniques: A Review”, Advances in Science, Technology and Engineering Systems Journal (ASTESJ), Volume 06, Issue no 02, PP. 423-438, 17 March 2021. Doi: https://doi.org/10.25046/AJ060249
2. Shahnaj Parvin, Liton Jude Rozario, Md. Ezharul Islam, “Vision-based On-Road Nighttime Vehicle Detection and Tracking Using Taillight and Headlight Features”, Journal of Computer and Communications (JCC), Volume 09, Issue no 03, PP. 29-53, 09 March 2021. Doi: https://doi.org/10.4236/jcc.2021.93003
1. Shahnaj Parvin, Md. Ezharul Islam, Liton Jude Rozario, “Nighttime Vehicle Detection Methods based on Brake Light/Taillight Features: A Review”, International Journal of Computer Science and Information Security (IJCSIS), Volume 18, Issue no 12, PP. 61-72, 31 December 2020. Doi: https://doi.org/10.5281/zenodo.4425432
Conferences
13. Mahin Montasir Afif, Sumshun Nahar Eity, Tanisha Fairooz, Hasan Mahmud, Amina Tasnim Oishe, Rahul Biswas, Shahnaj Parvin, Md Mortuza Ahmmed, M Mostafizur Rahman, Mufti Mahmud, "PomeGC-Net: A Hybrid Semi-Supervised Graph Convolutional Network Approach for Multi-Class Pomegranate Fruit Disease Classification", 2025 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), London, United Kingdom, pp. 612-615, 2025. Doi: https://doi.org/10.1109/WI-IAT67162.2025.00092
12. Akash Roy, Shahnaj Parvin*, Md. Mafiul Hasan Matin, Aminun Nahar, Md. Istiak Hasan, “FireGuard-YOLOv11: Efficient Deep Vision Architecture for Early Indoor Fire Hazard Detection”, International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure 2026 (PECCII), PUST, 2026. Doi: https://doi.org/10.1109/PECCII70991.2026.11661816
11. Sadik Saleh, Shraboni Biswas Naboni, Waliul Hasnat Wasif, Akash Roy, Md. Istiak Hasan, Shahnaj Parvin*, Kamruddin Nur”, TomatoNet-YOLOv11: An Enhanced Deep Learning Framework for Multi-Class Tomato Fruit Disease”, 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 16 – 18 April 2026, Chittagong, Bangladesh. Doi: https://doi.org/10.1109/QPAIN69676.2026.11546017
10. Saiful Islam Oni; Meheraj Hasan; Arpon Paul Amit; Shahnaj Parvin*; Farzana Bente Alam; Kamruddin Nur, "Detection and Classification of Diabetic Retinopathy Using EfficientNetB0: A Lightweight Model with Transfer Learning Approach," 2025 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), Sakhir, Bahrain, 2025, pp. 1-6. Doi: https://doi.org/10.1109/3ict68299.2025.11442252
9. Muntasir Momtaz; Md. Nawshin Navin; Raiyan Zayed Rakin; Kamruddin Nur; Shahnaj Parvin*, "Accurate Anemia Disease Detection Using Eye Conjunctiva Features with Improved YOLOv9," 2025 17th International Conference on Information Technology and Electrical Engineering (ICITEE), Bangkok, Thailand, 2025, pp. 1-6. Doi: https://doi.org/10.1109/ICITEE66631.2025.11338320
8. Shahnaj Parvin; Sadik Saleh; Shraboni Biswas Naboni; Moumitu Tasnim; Aminun Nahar; Kamruddin Nur, "Pothole Size Estimation and Classification Using YOLOv12 and Geometric Feature Thresholding," 2025 17th International Conference on Information Technology and Electrical Engineering (ICITEE), Bangkok, Thailand, 2025, pp. 1-6. Doi: https://doi.org/10.1109/ICITEE66631.2025.11338379
7. Shafwan Ahmed Dehan; Md. Saeedullah Azim; Adnan Sadat; Sadia Islam Zerin; Sumit Kanti Sarker; Shahnaj Parvin, Kamruddin Nur, "ATM-FraudPrev: An Iris Recognition Framework for Fraud Prevention in Automated Teller Machines," 2025 17th International Conference on Information Technology and Electrical Engineering (ICITEE), Bangkok, Thailand, 2025, pp. 1-6. Doi: https://doi.org/10.1109/ICITEE66631.2025.11338296
6. Aminun Nahar, Mehedi Hasan Shuvo, Mahbubul Islam, Rifat Tasnim Anannya, Shahnaj Parvin, Kamruddin Nur, "Deep Learning Based Real-Time Hand Detection Using First-Person Egocentric Perspectives," 22nd International Conference on Computer Systems and Applications (AICCSA), Doha, Qatar, pp. 1-5, 2025. Doi: https://doi.org/10.1109/AICCSA66935.2025.11315447 [Core Ranked Type C]
5. Shahnaj Parvin, Sabbir Hossain Hridoy, Sumaiya Mahdiya Mahia, Md Fazlah Karim Alvee, Aminun Nahar, Mahmudul Hasan, Kamruddin Nur, “PavD-YOLOv9: An Enhanced Deep Learning Method for Accurate Pavement Distress Detection and Classification”, 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), 13-15 February 2025. Doi: https://doi.org/10.1109/ECCE64574.2025.11013161
4. Aminun Nahar, Mahbubul Islam, Mehedi Hasan Shuvo, Mahmudul Hasan, Shahnaj Parvin, and Kamruddin Nur, “A Deep Learning-Based Framework for Accurate Detection and Classification of On-Road Vehicles Using Improved YOLOv11”, 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), 13-15 February 2025. Doi: https://doi.org/10.1109/ECCE64574.2025.11013964
3. Shahnaj Parvin, Liton Jude Rozario, Md. Ezharul Islam, “Breast Tumor Segmentation and Size Estimation in Ultrasound Using U-Net-ResNet18 with XAI”, 2025 28th International Conference on Computer and Information Technology (ICCIT), 19-21 December 2025, Cox’s Bazar, Bangladesh. Doi: https://doi.org/10.1109/ICCIT68739.2025.11491826
2. Akash Roy, Md. Istiak Hasan, Mst. Shikha Moni, Aminun Nahar, Shahnaj Parvin, “Enhancing Bone Fracture Identification with YOLOv11 and Robust K-Fold Cross-Validation”, 2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON), 27-28 November 2025, Military Institute of Science and Technology (MIST), Dhaka, Bangladesh. Doi: https://doi.org/10.1109/RAAICON69033.2025.11502264
1. Bedanta Saha, Bidhan Saha, Mehedi Hasan Shuvo, Mahbubul Islam, Shahnaj Parvin, Aminun Nahar, "An Enhanced YOLOv11 Framework for Automatic Lumbar Spine Level Detection", 2025 28th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, pp. 1475-1480, 2025. Doi: https://doi.org/10.1109/ICCIT68739.2025.11491805
