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Mir Maruf Ahmed

Computer Science & Engineering · American International University-Bangladesh (AIUB)

https://researchid.co/maruf420
@aiub.edu
7Scopus Publications
32Google Scholar Citations
2Google Scholar h-index
1Google Scholar i10-index

Research Interests

Machine Learning (ML), Data Science, Deep Learning, Convolutional Neural Networks (CNNs) and Artificial Neural Networks (ANNs).

Biography

Mir Maruf Ahmed graduated from the American International University-Bangladesh (AIUB) with a Bachelor of Science degree in Computer Science and Engineering. A passion has marked his academic journey for learning new skills and technologies. He is a researcher focused on Machine Learning (ML), Artificial Intelligence (AI) and Data Science, with a particular interest in exploring neural networks and their applications in Deep Learning, including Convolutional Neural Networks (CNNs) and Artificial Neural Networks (ANNs). Throughout his academic career, Maruf has earned multiple honors and certifications, including being listed on the Dean’s List Honors for academic excellence. His areas of expertise include Cyber Security, IT support, Networking, Web Development, UI/UX Design, Software Quality Assurance and API Testing. He aims to contribute to the cybersecurity and digital media industries through his creativity, knowledge, and technical skills.

Education

1. Degree: Bachelor of Science Major: Computer Science & Engineering Passing Year: 2023 CGPA: 3.63 out of 4.00 Institute: American International University - Bangladesh (AIUB) 2. Degree: Higher Secondary School Certificate Major: Science Passing Year: 2018 CGPA: 4.50 out of 5.00 Institute: Dhaka Residential Model College (DRMC) 3. Degree: Secondary School Certificate Major: Science Passing Year: 2016 CGPA: 5.00 out of 5.00 Institute: Tejgaon Government High School (TGHS)

Recent Scopus Publications

  1. Advanced Heart Attack Prediction Using a Stacked Ensemble Machine Learning Model and Diverse Data Integration
    International Journal of Intelligent Systems and Applications, 2025
  2. Harnessing Convolutional Neural Networks for Potato Leaf Disease Detection: A Proposed Model
    Studies in Computational Intelligence, 2025
  3. Leaf disease detection using convolutional neural networks: a proposed model using tomato plant leaves
    Neural Computing and Applications, 2024
  4. APPLICATIONS OF IOT-ENABLED SMART MODEL: A MODEL FOR ENHANCING FOOD SERVICE OPERATION IN DEVELOPING COUNTRIES
    Journal of Applied Engineering and Technological Science, 2024
  5. Deep Facial Recognition: Unraveling Kinship Patterns Among Strangers Using CNN
    2024 IEEE Conference on Computing Applications and Systems Compas 2024, 2024

Research Outputs

MOBDOG and AJSE [AIUB Journal of Science and Engineering]

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