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Rakin Sad Aftab

Faculty of Science and Technology, Department of Computer Science · Department of Computer Science, American International University-Bangladesh

https://researchid.co/aftabrakinsad
@aiub.edu
4Scopus Publications

Biography

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.

Education

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

Recent Scopus Publications

  1. Leaf disease detection using convolutional neural networks: a proposed model using tomato plant leaves
    Neural Computing and Applications, 2024
  2. APPLICATIONS OF IOT-ENABLED SMART MODEL: A MODEL FOR ENHANCING FOOD SERVICE OPERATION IN DEVELOPING COUNTRIES
    Journal of Applied Engineering and Technological Science, 2024
  3. Security Analysis in Online Transaction Systems: A Proposed Framework
    International Journal of Information Engineering and Electronic Business, 2024
  4. Deep Facial Recognition: Unraveling Kinship Patterns Among Strangers Using CNN
    2024 IEEE Conference on Computing Applications and Systems Compas 2024, 2024

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