Mir Maruf Ahmed
Bsc. Undergraduate | Computer Science & Engineering (CSE)
Research Assistant
Contact:
Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani.
Dhaka-1213, Bangladesh
E-mail:
ahmedmarufmir@gmail.comTelephone:
Office:
Cell: 01714253676
Degree: Bachelor of Science
Major: Computer Science & Engineering
Passing Year: 2023
CGPA: 3.63 out of 4.00
Institute: American International University - Bangladesh (AIUB)
Degree: Higher Secondary School Certificate
Major: Science
Passing Year: 2018
CGPA: 4.50 out of 5.00
Institute: Dhaka Residential Model College (DRMC)
Degree: Secondary School Certificate
Major: Science
Passing Year: 2016
CGPA: 5.00 out of 5.00
Institute: Tejgaon Government High School (TGHS)
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.
His professional experience includes positions such as Junior Security Engineer at eTech Solution Ltd. and Customized OJS Plugin Theme Developer for AIUB Journal of Science and Engineering [AJSE].
His work has been published in journals such as IEEE Access, Springer and various Q1 and Q4 journals, highlighting his academic contributions. His notable projects include MOBDOG and AJSE, and his publications focus on topics like Leaf disease detection using convolutional neural networks and IoT-enabled models for enhancing food service operations in developing countries.
1. Trainee Officer (3 Months) (7 July 2024 – Continuing)
Area of Expertise: API testing and control, Maintenance Data Analysis and Reporting, Troubleshooting and Debugging.
2. Social Media Designer (2 Years 5 Months) (1 Jan 2022 – 22 May 2024)
The Front Page
Area of Expertise: Communications, Designing, Media.
3. Junior Security Engineer (5 Months) (1 Oct 2023 - 29 Feb 2024)
eTech Solution Ltd.
Area of Expertise: Cyber Security, Network Security, Python, SQL and Data Protection.
4. Customized Plugin Theme Developer [AJSE] (4 Months) (26 Mar 2023 - 27 Jul 2023)
American International University Bangladesh (AIUB)
Area of Expertise: HTML, CSS, PHP, JavaScript, Frontend development, UI and UX Design.
5. Institute Representative (5 Months) (1 Jan 2021 - 30 Jun 2021)
Volunteer for Bangladesh
Area of Expertise: Leadership, Organization Skills, Volunteering.
6. Senior Member (3 Years 8 Months) (20 Feb 2020 - 28 Sep 2023)
AIUB Social Welfare Club - SHOMOY
Area of Expertise: IT Support, Social Work, Clubbing.
Journal Publications:
- 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 36, 20043–20053 (2024). https://doi.org/10.1007/s00521-024-10283-2
- Sultana, A., Billah, M. M., Ahmed, M. M., Aftab, R. S., Kaosar, M., & Uddin, M. S. (2024). Applications of IoT-Enabled Smart Model: A Model For Enhancing Food Service Operation in Developing Countries. Journal of Applied Engineering and Technological Science (JAETS), 5(2), 1123–1141. https://doi.org/10.37385/jaets.v5i2.4937
Conference Publications:
- M. I. Nakib, S. Ghose, M. M. Ahmed, M. A. Mahomuda and M. F. Mridha, "Tomato Disease Classification using Convolutional Neural Networks," 2023 4th International Conference on Data Analytics for Business and Industry (ICDABI), Bahrain, 2023, pp. 495-498, doi: 10.1109/ICDABI60145.2023.10629433
- 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
- R. S. Aftab, S. Hamim, 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,” Accepted for Presentation on 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2024, pp. 1-6, https://iccit.org.bd/2024/
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