Lead Researcher
Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani.
Dhaka-1213, Bangladesh
Office:
Cell:
MSc, Computer Science & Engineering, Department of Computer Science, University of Oulu, Finland
BSc, Computer Science & Engineering, Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh
I'm Md. Eshmam Rayed, pursuing my MSc in Computer Science & Engineering at the University of Oulu, Finland. I'm passionate about research, particularly in the field of deep learning.
1. Rayed, M. E., Islam, S. S., Niha, S. I., Jim, J. R., Kabir, M. M., & Mridha, M. F. (2024). Deep learning for medical image segmentation: State-of-the-art advancements and challenges. Informatics in Medicine Unlocked, 101504.
2. Islam, M. R., Zamil, M. Z. H., Rayed, M. E., Kabir, M. M., Mridha, M. F., Nishimura, S., & Shin, J. (2024). Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes. IEEE Access.
3. Rayed, M. E., Alfaz, N., Niha, S. I., & Islam, S. S. (2023, December). A vision transformer-based approach for recognizing seven prevalent mango leaf diseases. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.
1. Research Award 2023 - AMIR Lab
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