@AMIR Lab

Jamin Rahman Jim

Erasmus Mundus Joint Master Student | Intelligent Field Robotic Systems - IFRoS

Lead Researcher

Contact:

Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani. Dhaka-1213, Bangladesh

E-mail:

jaminjim.aiub@gmail.com

Telephone:

Office:
Cell: https://orcid.org/0000-0003-2854-5144

Publication Profile:

Google Scholar Research Gate

Web Page & Social Link:

Web Page Github LinkedIn Kaggle

Master of Engineering
Universitat de Girona, Spain & Eötvös Loránd University, Hungary [ 2024 - 2026 ]
Program: Erasmus Mundus Joint Masters in Intelligent Field Robotic Systems - IFRoS
Grade: 8.77/10.00 (30/120) ECTS

Bachelor of Science
American International University-Bangladesh [ 01/01/2020 – 20/06/2023 ]
Program: Computer Science & Engineering
Final grade: 3.96/4.00
Thesis: Assessing Personalized Federated Learning Algorithms for Pattern Recognition Tasks

Higher Secondary School Certificate
Abdul Kadir Mollah City College [ 01/06/2017 – 04/2019 ]
Final grade: 5.00

Secondary School Certificate
Arjunchar High School [ 01/01/2015 – 02/2017 ]
Final grade: 5.00

JAMIN RAHMAN JIM is currently an Erasmus Mundus Master scholar. He is doing his Erasmus Mundus Joint Master in Intelligent Field Robotic Systems - IFRoS from Universitat de Girona, Spain and Eötvös Loránd University, Hungary (2024-2026). Previously, he received a B.Sc. degree in Computer Science and Engineering (CSE) from American International University-Bangladesh (AIUB) in 2023. For his academic excellence, he was mentioned in the prestigious Deans List and received the Summa Cum Laude. He did his bachelor internship as a Research Assistant (RA) at Deepchain Labs, a Blockchain-based software Development Company. He also worked as a Deep Learning and Computer Vision Researcher at Advanced Machine Intelligence Research Lab-AMIRL. With extensive research interest, he has authored and submitted multiple articles in high-impact journals and publishers like IEEE, Elsevier, and Wiley. His research interests primarily revolve around Deep Learning, Image Processing, Robotics and Reinforcement Learning.

Organization	Position	Year
Deepchain Labs	Research Assistant (Internship)	25/12/22 - 30/04/23
AMIR Lab	Researcher (Deep Learning and Computer Vision)	2023 - 2024
AMIR Lab	Lead Researcher (Artificial Intelligence and Biomedical Imaging)	2025 -

1. J. R. Jim, M. T. Hosain, M. F. Mridha, M. M. Kabir and J. Shin, "Toward Trustworthy Metaverse: Advancements and Challenges," in IEEE Access, vol. 11, pp. 118318-118347, 2023, doi: 10.1109/ACCESS.2023.3326258.

2. Pritee, Z.T., Anik, M.H., Alam, S.B., Jim, J.R., Kabir, M.M. and Mridha, M.F., 2024. Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review. Computers & Security, p.103747.

3. Jim, J.R., Talukder, M.A.R., Malakar, P., Kabir, M.M., Nur, K. and Mridha, M.F., 2024. Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review. Natural Language Processing Journal, p.100059.

4. Showrov, A.A., Aziz, M.T., Nabil, H.R., Jim, J.R., Kabir, M.M., Mridha, M.F., Asai, N. and Shin, J., 2024. Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications and Challenges. IEEE Access.

5. Kabir, M.M., Hafiz, M.S., Bandyopadhyaa, S., Jim, J.R. and Mridha, M.F., 2024. TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset. Data in Brief, p.110462.

6. Rayed, M.E., Islam, S.S., Niha, S.I., Jim, J.R., Kabir, M.M. and Mridha, M.F., 2024. Deep learning for medical image segmentation: State-of-the-art advancements and challenges. Informatics in Medicine Unlocked, p.101504.

7. Hosain, M.T., Jim, J.R., Mridha, M.F. and Kabir, M.M., 2024. Explainable AI approaches in deep learning: Advancements, applications and challenges. Computers and Electrical Engineering, 117, p.109246.

8. Islam, T., Hafiz, M.S., Jim, J.R., Kabir, M.M. and Mridha, M.F., 2024. A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions. Healthcare Analytics, p.100340.

9. Hosain, M.T., Abir, M.R., Jim, J.R., Zaman, A. and Mridha, M.F., 2023. Performance Analysis of Personalized Federated Learning Algorithms for Image Classification.

10. Kabir, M.M., Jim, J.R. and Istenes, Z., Fusion-Enhanced Terrain Detection and Segmentation for Autonomous Vehicle Navigation: A State-of-The-Art Systematic Review. Available at SSRN 4797592.

Dean's List Honors
Awarding institution: American International UniversityBangladesh

Academic Merit Scholarship
Awarding institution: American International University-Bangladesh

Summa Cum laude(Gold Medal) - [Expecting]
Awarding institution: American International University-Bangladesh

Research Award 2023 - AMIR Lab
Awarding institution: Advanced Machine Intelligence Research Lab-AMIRL

Academic Research Grant
Awarding institution: Competitive Research Fund of The University of Aizu, Japan

This page viewed total 1150 times