Rakin Sad Aftab
M.Sc. in Computer Science
Researcher
Contact:
Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani.
Dhaka-1213, Bangladesh
E-mail:
rakinsadaftab@gmail.comTelephone:
Office:
Cell:
UNIVERSITY OF CALGARY
MEng. Electrical and Engineering, Software Engineering Specialization
AMERICAN INTERNATIONAL UNIVERSITY-BANGLADESH
Bachelor of Science, Computer Science and Engineering
Cumulative GPA: 3.68/4.00
Passing Year: 2023
DR. MAHBUBUR RAHMAN MOLLAH COLLEGE
Science, Higher Secondary School Certificate (HSC)
GPA: 4.33/5.00
Passing Year: 2019
KALIGANJ R. R. N. PILOT GOVT. HIGH SCHOOL
Science, Secondary School Certificate (SSC)
GPA: 5.00/5.00
Passing Year: 2016
Rakin Sad Aftab is currently pursuing his master's degree in Electrical and Computer Engineering with a specialization in Software Engineering at the University of Calgary. He graduated in 2023 from the American International University-Bangladesh (AIUB) with a Bachelor of Science degree in Computer Science and Engineering. As a researcher, Rakin focuses on machine learning (ML), artificial intelligence (AI), and data science, with a particular interest in neural networks and their applications in deep learning (DL). His expertise includes working with software engineering, convolutional neural networks (CNNs), artificial neural networks (ANNs), and deep hypercomplex neural networks. His research emphasizes developing and optimizing neural network models to make them more accurate, efficient, adaptable, and suitable for integration into real-world software systems. This focus naturally aligns with software engineering principles, as creating scalable and reliable AI solutions requires not only advanced modeling but also thoughtful implementation within the broader software development life cycle (SDLC). Rakin’s work also extends to networking within AI frameworks, aiming to enhance AI-driven software development and improve technological solutions in AI and analytics. He is eager to leverage his diverse skill set and innovative thinking to drive success and adapt to new challenges. Committed to problem-solving, continuous learning, and making positive contributions, Rakin seeks opportunities for growth and collaboration.
EDGE: Hire & Train Program
Position: Cloud Computing Trainee
Duration: October 2023-September 2023
Associated with: eTech Solutions Ltd.
Machine Learning
Associated with: University of Washington.
Course platform: Coursera.
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AI For Everyone
Associated with: deeplearning.ai.
Course platform: Coursera.
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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Associated with: deeplearning.ai.
Course platform: Coursera.
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Security in Google Cloud
Associated with: Google Cloud.
Course platform: Coursera.
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Total Journal Paper Count: 5
Q1: 1
Q2: 0
Q3: 2
Q4: 2
Journal Papers:
1. Rakin Sad Aftab, Md. Kais K. Emon, Sanjana F. Anny, Durjoy Sarker, Md. Mazid-Ul-Haque, "Security Analysis in Online Transaction Systems: A Proposed Framework," International Journal of Information Engineering and Electronic Business (IJIEEB), Vol.16, No.2, pp. 22-38, 2024. Doi: 10.5815/ijieeb.2024.02.03.
2. A. Sultana, M. M. Billah, M. M. Ahmed, Rakin Sad Aftab, M. Kaosar, and M. S. Uddin, “Applications of IoT-Enabled Smart Model: A Model For Enhancing Food Service Operation in Developing Countries," JAETS, vol. 5, no. 2, pp. 1123–1141, Jun. 2024. Doi: 10.37385/jaets.v5i2.4937.
3. Billah, M.M., Sultana, A., Sad Aftab, R. et al. Leaf disease detection using convolutional neural networks: a proposed model using tomato plant leaves. Neural Comput & Applic (2024). Doi: 10.1007/s00521-024-10283-2.
4. Syeda Anika Tasnim, Md. Mazid-Ul-Haque, Md. Sajid Bin Faisal and Rakin Sad Aftab, “Capacity Analysis of MIMO Channels Under High SNR Using Nakagami-q Fading Distribution” International Journal of Advanced Computer Science and Applications (ijacsa), 16(3), 2025. Doi: 10.14569/IJACSA.2025.0160396.
5. Sultanul Arifeen Hamim, Rakin S. Aftab, M. Ahmed, Farzana Faiza, M. F. Mridha, "Advanced Heart Attack Prediction Using a Stacked Ensemble Machine Learning Model and Diverse Data Integration", International Journal of Intelligent Systems and Applications(IJISA), Vol.17, No.5, pp.49-67, 2025. DOI: 10.5815/ijisa.2025.05.04.
Total Book Chapter Count: 2
Book Chapter:
1. Ahmed, M.M., Aftab, R.S., Hamim, S.A., Abdullah-Al-Jubair, M., Nandi, D. (2025). Harnessing Convolutional Neural Networks for Potato Leaf Disease Detection: A Proposed Model. In: Mridha, M.F., Dey, N. (eds) Machine Vision in Plant Leaf Disease Detection for Sustainable Agriculture. Studies in Computational Intelligence, vol 1202. Springer, Singapore. DOI: 10.1007/978-981-96-4520-6_8.
2. Hamim, S.A., Aftab, R.S., Ahmed, M.M., Abdullah-Al-Jubair, M., Mridha, M.F. (2026). Enhancing Medical Image Analysis with Advanced Optimization Techniques: A Comparative Study of Machine Learning Model Optimizers. In: Dey, N. (eds) Nature-Inspired Approaches to Engineering and Healthcare Solutions. Springer Tracts in Nature-Inspired Computing. Springer, Cham. DOI: 10.1007/978-3-032-08596-2_11.
Total Conference Paper Count: 3
Conference Papers:
1. M. M. Billah, R. Sad Aftab, M. M. Ahmed and M. Shorif Uddin, "Deep Facial Recognition: Unraveling Kinship Patterns Among Strangers Using CNN," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-9, Doi: 10.1109/COMPAS60761.2024.10797096.
2. M. Mazid-Ul-Haque, S. Ahmed, R. S. Aftab, M. S. U. Miah, W. Akanda and A. Bhowmik, "Multicriteria Decision Analysis for Optimal Internet Service Provider Selection Using Calibrated Random Forest," 2024 Asian Conference on Communication and Networks (ASIANComNet), Bangkok, Thailand, 2024, pp. 1-6, Doi: 10.1109/ASIANComNet63184.2024.10811091.
3. R. S. Aftab, S. A. Hamim, M. M. Ahmed, S. M. A. Shafi and M. Mazid-Ul-Haque, "SkinScanNet: A CNN-Based Model with Explainable AI for Reliable and Transparent Skin Cancer Detection," 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 2846-2851, Doi: 10.1109/ICCIT64611.2024.11021833.
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