Assistant Professor

Educational Qualifications:

Job Experience: 

Publications:

1. Reza, H., Islam Tareq, N., M. M. Fazle Rabbi, Arfin Tanim, S., & Mamun Rudro, R.A. Acute lymphoblastic leukemia diagnosis and subtype segmentation in blood smears using CNN and U-Net. Indonesian Journal of Electrical Engineering and Computer Science, 38(2), 950-959 (2025) http://doi.org/10.11591/ijeecs.v38.i2.pp950-959

2. Shiekh Rahmatullah Sakib, Kamarun Nahar Sara, Md. Anisul Islam & M. M. Fazle Rabbi, Advanced Hybrid Deep Learning Model for Precise Multiclass Classification of Bone Marrow Cancer Cells, Data-Driven Clinical Decision-Making Using Deep Learning in Imaging. Studies in Big Data, vol 152. Springer, https://doi.org/10.1007/978-981-97-3966-0_5

3.  Md Basitur Rahman Bappi; S M Masfequier Rahman Swapno; M M Fazle Rabbi, Skin Cancer Disease Detection Using MCD-GRU: A Deep Learning Approach, International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) Publisher: IEEE, 2-4 May 2024. https://doi.org/10.1109/ICEEICT62016.2024.10534421

4. Md. Akbar Hossain;Ashifur Rahman; M. M. Fazle Rabbi, COVID EmotionNet: A Machine Learning Approach to Unraveling Pandemic Sentiments, 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), Year: 2024 | Conference Paper | Publisher: IEEE, https://doi.org/10.1109/ICEEICT62016.2024.10534477

5. B. M. Shadman Sakib Mahee, M. M. Fazle Rabbi, Tasnuba Khanom, Sanu Akter, Nusrat Jahan Usha & Md. Rabby Hasan, Employing the ResNet50 and InceptionV3 Models for the Detection of Diseases in Both Strawberry Leaves and Fruit ,pp 499–509, 17 October 2024, https://doi.org/10.1007/978-981-97-3937-0_34

6. Anisur Rahman Mahmud, Md. Mubtasim Fuad, Md. Jahid Hasan, Md. Minhazur Rafid, Md. Eusuf Khan, M. M. Fazle Rabbi, A Review on Emotion Detection from Text: Opportunities and Challenges,17 October 2024, pp 17–31, TEHI 2023. Lecture Notes in Networks and Systems, vol 1034. Springer, https://doi.org/10.1007/978-981-97-3937-0_2

7.  Md. Reazul Islam, Arman Hossain, Sayefa Arafah, M. M. Fazle Rabbi & Khondokar Oliullah, A Portable Diagnostic and Medication System for Rural Areas Using IoT, pp 671–685, International Conference on Trends in Electronics and Health Informatics, 2023, Springer, https://doi.org/10.1007/978-981-97-3937-0_46

8. Md. Basitur Rahman Bappi, S. M. Masfequier Rahman Swapno & M. M. Fazle Rabbi, Deploying DenseNet for Cotton Leaf Disease Detection on Deep Learning, pp 485–498, Proceedings of Trends in Electronics and Health Informatics. TEHI 2023. Lecture Notes in Networks and Systems, vol 1034. Springer, https://doi.org/10.1007/978-981-97-3937-0_33

9. Md Basitur Rahman Bappi, S. M. Masfequier Rahman Swapno, Sumiya Akhter & M. M. Fazle Rabbi, Deploying Hybrid VGG19-BiGRU Model for Kidney Disease Segmentation, Intelligent Systems and Applications. IntelliSys 2024. Lecture Notes in Networks and Systems, vol 1068. Springer, Cham. https://doi.org/10.1007/978-3-031-66336-9_4

10. Md. Mehedi Hassan; Md. Asif Rakib Khan; Khan Kamrul Islam; Md. Mahedi Hassan; M.M. Fazle Rabbi, “Depression Detection system with Statistical Analysis and Data Mining Approaches”, IEEE Xplore, December 2021. https://doi.org/10.1109/ICSCT53883.2021.9642550

11. Md. Atiqur Rahman , M.M. Fazle Rabbi, Md. Mijanur Rahman; Md. Masudul Islam; Md. Rashedul Islam, “Histogram modification based lossy image compression scheme using Huffman coding”, IEEE Xplore, Page: 279, January, 2019, https://doi.org/10.1109/CEEICT.2018.8628092

Training:

• ITEE FE Trainer, Information Technology Engineers Examination, JICA -BCC ITEE Project
• Title: Intensive Training Program on Applied Research Methodology (ITPARM) BUBT Research Centre, Mirpur, Dhaka
• Title: Personal Effectiveness Material: 7 Habits of Highly Effective People, FranklinCovey
  Training Institute: Pinnacle, Dhaka, Bangladesh