1. Participated in the collaborative research works, focusing on the application of deep learning techniques.

2. Involved in a funded research project under UGC on cucumber severity level detection and classification, focusing on developing a robust deep learning-based system capable of accurately detecting disease of cucumber.

4. Ongoing 10 research work   

5. Under review: 3   

Journal Paper:

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, 2025, 107817, ISSN 2590-1230, Doi: https://doi.org/10.1016/j.rineng.2025.107817 (Elsevier Scopus Q1 Impact Factor: 7.9 Cite Score: 7.3)

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 Scopus Q1 Impact Factor: 5.1 Cite Score: 8.7)

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, 12 July 2024. Doi: https://doi.org/10.1007/s10489-024-05588-7    (Springer Scopus Q2 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, 24 February 2022. (Scopus Q3)

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, 31 March 2021. Doi: https://doi.org/10.25046/AJ060249 (Scopus Q3)

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, 17 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, 30 December 2020. Doi: https://doi.org/10.5281/zenodo.4425432 

Conference Paper: 

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-2026). (Accepted)

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.

10. 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), Cox's Bazar, Bangladesh, pp. 3582-3587, 2025. Doi: https://doi.org/10.1109/ICCIT68739.2025.11491826. (Scopus IEEE)

9. 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, Bangladesh, pp. 1475-1480, 2025. Doi: https://doi.org/10.1109/ICCIT68739.2025.11491805 (Scopus IEEE)

8. 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 (Scopus IEEE)

7. 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 (Scopus IEEE)

6. 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   (Scopus IEEE)

5. 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  (Scopus IEEE)

4. 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   (Scopus IEEE)

3. 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  (Scopus IEEE)   [CORE-ranked (Type C)]

2. 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 (Scopus IEEE)

1. 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  (Scopus IEEE)

Poster Paper:

1. Fahim Faysal Sakib, Sultan Mohiuddin Shawon, Sharia Arfin Tanim, Shahnaj Parvin, Kamruddin Nur, “An E-Commerce Website Accessibility Issue Detection and Evaluation System”, The 15th International Conference of Human-Computer Interaction (HCI) Design & Research, December 2024. Doi: https://doi.org/10.13140/RG.2.2.30468.64645

1. Introduction to Programming C,
2. C++ Programming,
3. Compiler Design,
4. Software Engineering,
5. Image Processing,
6. Artificial Intelligence,
7. Computer Graphics,
8. Digital Logic Design
9. Database Management System
10. Operating Systems
11. Theory of Computation (TOC)

1. Awarded for outstanding academic performance in the Government Primary School Scholarship-2005.

2. Jahangirnagar University Academic Merit Scholarship — 2014, 2015, 2016

     Received based on excellent academic results during the undergraduate program in Computer Science and Engineering.

3. Government General Scholarship (Honours Level) — 2017

     Granted by the Government of Bangladesh for securing high academic merit in the Bachelor’s degree program.

1. Chairperson of the EEE Department

Serving as the Chairperson of the EEE department at Netrokona University since 01 February 2026.

2. Member of the Academic Council

Serving as a Member of the Academic Council at Netrokona University since 12 August 2025.

3. International Reviewer
I am serving as an international reviewer for prestigious journals. I believe this role strengthens my research background and creates numerous opportunities to explore and contribute to diverse research areas. 
Journal Names:

4. Signal, Image and Video Processing (Q2) Springer Nature. URL: https://link.springer.com/journal/11760

3. Discover Artificial Intelligence (Q1) Springer Nature. URL: https://link.springer.com/journal/44163

2. Frontiers in Artificial Intelligence (Q2). URL: https://www.frontiersin.org/journals/artificial-intelligence

1. Advances in Research. URL: https://www.journalair.com/index.php/AIR

4. Reviewer of IEEE (Conferences)

I am serving as a reviewer for the IEEE Bangladesh Section. The following are the listed conferences, I participated as a reviewer to enrich my research profile.

1. The 2026 International Conference on Engineering and Frontier Technologies (ICEFronT 2026), hosted by Mawlana Bhashani Science and Technology University.

5. Session Coordinator

3rd International Conference on Computing Advancements ICCA-2024, Organized by Dept. of Computer Science, American International University (AIUB)

Theme: Age of Computing and Augmented Life

Coordinated conference session involving “Machine Vision”, ensuring smooth execution.

6. Trainer

Workshop on Data Analysis with R Language, ZNRF University of Management Sciences

I guided participants in data preparation, exploratory analysis using descriptive statistics, and predictive modeling with simple, multiple, and polynomial regression. I also demonstrated techniques to evaluate model performance, address overfitting and underfitting, and optimize models through tuning.