Rakin Sad Aftab
Bsc. Undergraduate | Computer Science & Engineering (CSE)
Research Assistant
Contact:
Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani.
Dhaka-1213, Bangladesh
E-mail:
rakinsadaftab@gmail.comTelephone:
Office:
Cell:
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 graduated in 2023 from the American International University-Bangladesh (AIUB) with a Bachelor of Science degree in Computer Science and Engineering. As a researcher, he 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 convolutional neural networks (CNNs), artificial neural networks (ANNs), and deep hypercomplex neural networks. Rakin's work also extends to networking within AI frameworks and the software development life cycle (SDLC), aiming to optimize 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: 3
Q1: 1
Q2: 0
Q3: 0
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.
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. Rakin Sad Aftab, Sultanul Arifeen Hamim, Mir Maruf Ahmed, S M Abdullah Shafi, Md. Mazid-Ul-Haque, “SkinScanNet: A CNN-Based Model with Explainable AI for Reliable and Transparent Skin Cancer Detection.” Accepted for Presentation at the 27th International Conference on Computer and Information Technology (ICCIT).
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