Ei Mehdi Chakour | Computer Science | Research Excellence Award

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Dr. Ei Mehdi Chakour | Computer Science | Research Excellence Award

Research Postdoc | Université Sidi Mohamed Ben Abdellah | Morocco

Dr. Ei Mehdi Chakour is a researcher at Université Sidi Mohamed Ben Abdellah, Fez, Morocco, specializing in medical image analysis and deep learning applications for ophthalmology, particularly diabetic retinopathy detection. With four peer-reviewed publications and 16 citations, Dr. Chakour has contributed to advancements in retinal image segmentation, enhancement, and severity classification using dynamic preprocessing, mathematical morphology, and transfer learning techniques. His collaborative work involves 11 co-authors across international conferences and journals, reflecting a strong commitment to interdisciplinary research. Through the development of mobile-based deep learning systems, his work demonstrates significant societal impact by enabling earlier, accessible, and accurate diabetic retinopathy screening.

Citation Metrics (Scopus)

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Citations
16

Documents
4

h-index
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Featured Publications


Mobile‑based deep learning system for early detection of diabetic retinopathy.

– Intelligence‑Based Medicine. Advance online publication. (2025). 

Transfer learning for severity and stages detection of diabetic retinopathy.

-Embedded Systems and Artificial Intelligence (ESAI) . (2024).

Blood vessel segmentation of retinal fundus images using dynamic preprocessing and mathematical morphology.

– International Conference on Control, Decision and Information Technologies (CoDIT). (2022). 

Yirga Munaye | Computer Science | Best Researcher Award

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Assoc. Prof. Dr. Yirga Munaye | Computer Science | Best Researcher Award

Postdoctoral Researcher | Bahir Dar University | Ethiopia

Dr. Yirga Munaye is a distinguished researcher at Bahir Dar University, Ethiopia, specializing in wireless communication, UAV systems, artificial intelligence, IoT, and cybersecurity. With 36 publications and 599 citations, he has made significant contributions to UAV positioning, indoor/outdoor localization, deep learning for resource management, and secure network infrastructures. His collaborations span 36 international co-authors, reflecting strong interdisciplinary and global engagement. Dr. Munaye’s research addresses critical societal challenges, including smart connectivity, network optimization, and AI-driven security solutions, advancing both theoretical knowledge and practical applications in emerging technologies worldwide.

Citation Metrics (Scopus)

800

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0

Citations
599

Documents
36

h-index
11

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Featured Publications