Hadiur Rahman Nabil
Bsc. Undergraduate | Computer Science & Engineering (CSE)
Research Assistant
Contact:
Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani.
Dhaka-1213, Bangladesh
E-mail:
hadiurrahmannabil@gmail.comTelephone:
Office:
Cell:
Bachelor of Science
American International University-Bangladesh [ Jan 2020- April 2024]
Computer Science & Engineering
Activities and societies: Competitive programming, Academic Research
Hadiur Rahman Nabil completed his B.Sc. degree in Computer Science and Engineering (CSE) at the American International University-Bangladesh (AIUB) in 2024. He actively participated in competitive programming and competed in various programming competitions, notably the ACM International Collegiate Programming Contest Preliminary (ACM-ICPC) and Intra-University Programming Contests. Proficient in multiple programming languages such as C++, Python, R, Java, C#, and PHP, He also possesses experience in technologies like Tensorflow, ASP.Net, Matlab, and MySQL. Nabil started my professional career as a Research Intern (RI) at the Advanced Machine Intelligence Research Lab (AMIR Lab) and currently serves as a Research Assistant (RA) at the Advanced Machine Intelligence Research Lab (AMIR Lab) under the supervision of Dr. M. Firoz Mridha.
| Organization | Position | Duration |
| Advanced Machine Intelligence Research Lab (AMIR Lab) | Research Assistant (Internship) | August 2023 - Present |
| Talent Care Education | Academic Consultant | January 2021 - December 2023 |
1. Atif Ahmed Showrov, Md Tarek Aziz, Hadiur Rahman Nabil, Jamin Rahman Jim, Md Mohsin Kabir, M. F. Mridha, Nobuyoshi Asai, & Jungpil Shin. (2024). "Generative adversarial networks (GANs) in medical imaging: Advancements, applications, and challenges". IEEE Access, 12. DOI: 10.1109/ACCESS.2024.3370848.
2. Istyak Ahmed, Hadiur Rahman Nabil, MD. Golam Rabbani Abir, Tazdik Hossain, Aritra Das, & M. F. Mridha . (2024). "NeuroNet: An Attention-Driven Lightweight Deep Learning Model for Improved Brain Cancer Diagnosis." 2024 International Conference on Decision Aid Sciences and Applications (DASA). DOI: 10.1109/DASA63652.2024.10836274
3. Aritra Das, Hadiur Rahman Nabil, Fahad Pathan, Momotaz Rahman Ouishy, M. F. Mridha, & Jungpil Shin. (2024). "Explainable AI-driven vision transformers for assessing fruit freshness via transfer learning." [Accepted in ICCIT]
4. Shahriar Siddique Ayon, Sharia Arfin Tanim, Hadiur Rahman Nabil, Maruful Islam, Tonmoy Mohajan, & Kamruddin Nur. (2024). "Insights into zooplankton abundance dynamics in tropical temporary ponds using machine learning and explainable AI". International Conference on Innovations in Science, Engineering and Technology 2024 (ICISET 2024). DOI: 10.1109/ICISET62123.2024.10939657
5. Hadiur Rahman Nabil, Md Golam Rabbani Abir, Mst Moushumi Khatun, Md Eshmam Rayed, & Md Abdul Hamid. (2024). "Banana leaf spot disease detection using deep learning-based algorithms." [Accepted]
Academic Research Grant
Awarding institution: Competitive Research Fund of The University of Aizu, Japan
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