1. PhD in Education (ongoing)
University Sains Islam, Malaysia

2. M.Sc. in Computer Science and Engineering
Daffodil International University, Bangladesh

3. B.Sc. in  Computer Science and Engineering
Daffodil International University, Bangladesh

1. Participatory Engaging Techniques (PET).
2. Capacity building on Research under LEDHER Project.

Computer Science and Engineering, Software Engineering

Journal:
 
"1. Bitto, A. K., Bijoy, M. H. I., Shakil, K. H., Das, A., Biplob, K. B. B., Mahmud, I., & Hossain, S. M. M. (2025). GastroEndoNet: Comprehensive endoscopy image dataset for GERD and polyp detection. Data in Brief, 60, 111572.

2. Ringky, N. A., Bitto, A. K., Md Badruzzaman Biplob, K. B., Elahe, M. F., Sammak, M. H., & Toma, T. R. (2024). Enhancing Skin Disease Diagnosis Through Fine-Tune Convolutional Neural Network: A Comparative Study with Multi-class Approach. Journal of ICT Research & Applications, 18(2).

3. Badruzzaman Biplob, K. B., Sammak, M. H., Bitto, A. K., & Mahmud, I. (2024). COVID-19 and Suicide Tendency: Prediction and Risk Factor Analysis Using Machine Learning and Explainable AI. EAI Endorsed Transactions on Pervasive Health & Technology, 10(1).

4. Rahaman, A., Bitto, A. K., Biplob, K. B. M. B., Bijoy, M. H. I., Jahan, N., & Mahmud, I. (2023). Bitcoin trading indicator: a machine learning driven real time bitcoin trading indicator for the crypto market. Bulletin of Electrical Engineering and Informatics, 12(3), 1762-1772.

5. Bitto, A. K., Bijoy, M. H. I., Yesmin, S., Mahmud, I., Mia, M. J., & Badruzzaman Biplob, K. B. M. (2023). Tumor-Net: convolutional neural network modeling for classifying brain tumors from MRI images. International Journal of Advances in Intelligent Informatics, 9(2).

6. Arman, M. S., Alam, M. R., Jahan, H., Islam, L., Sammak, M. H., & Biplob, K. B. M. B. (2022, October). A data mining approach to finding face mask from bangladeshi news channel. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.

7. Nishat, N., Islam, Y. M., Biplob, K. B. M. B., Mustain, U., & Hossain, M. K. (2020). Empowering tertiary level students to solve their own study-related problems to improve study performance. Journal of Applied Research in Higher Education, 12(5), 1117-1133.

Conference:

1. Niloy, G. M., Bitto, A. K., Biplob, K. B. M. B., Sammak, M. H., Das, A., & Hridoy, G. G. (2024, March). MobileNet-Eye: An Efficient Transfer Learning for Eye Disease Classification. In 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) (pp. 01-05). IEEE.

2. Biplob, K. B. B., Bijoy, M. H. I., Bitto, A. K., Das, A., Chowdhury, A., & Hossain, S. M. M. (2023, April). Suicidal Ratio Prediction Among the Continent of World: A Machine Learning Approach. In 2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) (pp. 1-6). IEEE.

3. Bitto, A. K., Bijoy, M. H. I., Khan, S., Mahmud, I., & Biplob, K. B. B. (2023, May). Approach of Different Classification Algorithms to Compare in N-gram Feature Between Bangla Good and Bad Text Discourses. In Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference MISP 2022, Volume 1 (pp. 105-116). Singapore: Springer Nature Singapore.

4. Tuj Jannat, F., Biplob, K. B. M. B., & Bitto, A. K. (2022, March). Predicting bangladesh life expectancy using multiple depend features and regression models. In International Conference on Machine Intelligence and Signal Processing (pp. 47-58). Singapore: Springer Nature Singapore.

5. Sammak, M. H., Arman, M. S., Jahan, H., Mahmud, I., Alam, M. R., & Biplob, K. B. M. B. (2022, October). Classifying cardiovascular disease using gradient boosting method risk factor analysis using shapely additive explanations. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.

6. Sakib, A. H., Shakir, A. K., Sutradhar, S., Saleh, M. A., Akram, W., & Biplop, K. B. M. B. (2022, January). A hybrid model for predicting Mobile Price Range using machine learning techniques. In Proceedings of the 2022 8th International Conference on Computing and Data Engineering (pp. 86-91).

7. Siddik, M. A. B., Arman, M. S., Hasan, A., Jahan, M. R., Islam, M., & Biplob, K. B. B. (2021). Predicting the death of road accidents in Bangladesh using machine learning algorithms. In Advances in Computing and Data Sciences: 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part II 5 (pp. 160-171). Springer International Publishing.

• Development of an inductive teaching method based on knowledge of the brain given in the QURAN

IEB M-31115

Research Associate Under Software Engineering at Daffodil International University.