- Faculty
- Faculty Faculty of Sciences and Engineering
- Research Interest
- Data Science Adversarial Network Large Language Model Bio Medical Data Science Big Data Analytics Financial Machine Learning/Analytics
- Teaching Materials
- Course Repository can be found in Google Drive. Can be accessed by the course student.
- Academic Background
- Result Achievement MS in CSE (Data Science) East West University CGPA 4 Chancellor's Gold Medal Summa Cum Laude BSc in ICE East West University CGPA 4 Chancellor's Gold Medal Summa Cum Laude
- Awards & Achievements
- Two times Chancellor's Gold Medal Two times Summa Cum Laude Four times Merit Scholarship at East West University Certificate on Teaching for Active Learning by fLTR- Foundation for Learning, Teaching and Research
- Selected Publications
- International Conference International Journal Published M. Al-Imran , K. J. Rahaman, M. Rasel, and S. H. Ripon, “An Analytical Evaluation of a Deep Learning Model to Detect Network Intrusion,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 12832 LNAI, pp. 129–140, 2021, doi: 10.1007/978-3-030-80253-0_12/COVER. M. Al-Imran , N. N. Juthi, T. S. Mahi, and S. H. Khan, “Evaluation of Linear Imputation Based Pediatric Appendicitis Detection System Using Machine Learning Algorithm,” Communications in Computer and Information Science , vol. 1911 CCIS, pp. 437–450, 2024, doi: 10.1007/978-981-99-7240-1_35/COVER. Hridoy, Kazi Mostaq, Saiful Islam Akash, Fahmida Afrose Dipti, Mahamudul Hasan, Jesan Ahammed Ovi, M. Al-Imran , and Sarwar Jahan. "Heart Disease Prediction Using Machine Learning Algorithms." In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023. M. Al-Imran , S. F. Fahim, S. Simla, F. H. Shakib, T. Ahmed and S. Jahan, "Grapevine Leaf Disease Classification Using Deep Convolutional Neural Networks," 2024 5th International Conference on Big Data Analytics and Practices (IBDAP), Bangkok, Thailand, 2024, pp. 1-6, doi: 10.1109/IBDAP62940.2024.10689684. Sajid Faysal Fahim, Fahmida Afrose Dipti, Z. T. Nishat, M. M. Azim, M. Al-Imran , “MobileNetV2: A proficient convolutional neural network for the Classification of Date Fruits into Genetic Varieties,” in International Conference on Machine Learning Algorithms in Science, Technology, Engineering, Management, Medical Science, Healthcare, and Advances in Machine Learning (ICMLA) , 2024. Mehrab Chowdhury, Abin Roy, Md Safayet Islam, Sanjida Simla, Md Belayet Hossain, and Md Al-Imran , “Classification of dry beans into Genetic Varieties using deep learning-based Convolutional Neural Networks (CNNs),” in Proceedings of Fifth International Conference on Computing, Communications, and Cyber-Security, IC4S’05 Volume 1, August 2024. Accepted Ehsanul Haque, Md Al-Imran, Dr. Ahmed Wasif Reza " Credit Card Fraud Detection: Optimizing Performance with Supervised and Ensemble Learning " in 27th International Conference on Computer and Information Technology (ICCIT), IEEE. December 20-22 2024. M. Al-Imran and S. H. Ripon, “Network Intrusion Detection: An Analytical Assessment Using Deep Learning and State-of-the-Art Machine Learning Models,” International Journal of Computational Intelligence Systems , vol. 14, no. 1, 2021, doi: 10.1007/s44196-021-00047-4. Sarwar Jahan, Md Al-Imran , Md. Imdadul Islam, M. R. Amin, "Comparison of Data Rate and Energy Per Node of Wireless Sensor Network Under Small Scale Fading,"International Journal of Computer Networks and Applications (IJCNA), vol. 11, no. 02, pp. 111-126, April 2024, DOI: 10.22247/ijcna/2024/224439.
- Professional Experience
- Senior Lecturer, From July 2024 Lecturer, June 2021- July 2024, Department of CSE, East West University EdTech platform consultant, June 20, 2024 - September 5, 2024
- Affiliation Professional Membership
- Member fLTR- Foundation for Learning, Teaching and Research Moderator - East West Universtity Roboics Club, February 2022 - November 2024