Md Al-Imran

Senior Lecturer
Department of Computer Science & Engineering

Faculty

Faculty of Sciences and Engineering

Address

A/2, Jahurul Islam Avenue
Jahurul Islam City, Aftabnagar
Dhaka-1212, Bangladesh

Office

Ext: || Room No#
al.imran@ewubd.edu

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

I hope you are looking for a short bio about me. I am naturally shy about expressing myself, but inspired by my teachers and colleagues, I have tried to share my interests and dreams. I believe a dream is what you envision as the end of mind. So, here we go!

I am a dedicated faculty member and engineer with a passion for, but not limited to, research, travel, reading, public speaking, social activism, and policy work. Academic excellence is prioritized through innovative teaching, impactful research, and community engagement, all driven by utmost effort. I strive to develop myself to an excellent level so that inspiring students, fostering interdisciplinary collaboration, and contributing to educational and institutional growth become central to my work, ultimately uplifting the institute to excel in education

My academic journey has been marked by dedication and a relentless pursuit of knowledge. I completed my BSc and MS at East West University, earning top scores that reflected my hard work and commitment. Yet, my ambitions don’t stop there. I dream of expanding my expertise by pursuing a PhD in Computer Science, along with degrees in Business and Public Administration. With this vision in mind, I am now taking steps to go abroad, ready to embrace new opportunities and challenges on the road ahead.

Keep me in your prayers!!

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

Research Interest

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Data Science
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Adversarial Network
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Large Language Model
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Bio Medical Data Science
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Big Data Analytics
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Financial Machine Learning/Analytics
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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.

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

Teaching Materials

Course Repository can be found in Google Drive. Can be accessed by the course student.

Affiliation Professional Membership

Member fLTR- Foundation for Learning, Teaching and Research
Moderator - East West Universtity Roboics Club, February 2022 - November 2024

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Md Al-Imran

Faculty

Address

Office

Academic Background

Short Biography

Professional Experience

Research Interest

Selected Publications

Awards & Achievements

Teaching Materials

Affiliation Professional Membership

Photo Gallery

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