Ebou A. Sowe

Research interests

Lossless 3D medical image compression; learned entropy modeling; computer vision; semantic segmentation; visual representation learning; deep learning and data mining.

Education

Publications

1. Sowe, E. A., Sanyang, M. F., Yahya, W., & Gegbe, H. G. (2025). Semantic Segmentation in Self-Driving Cars Using Pyramid Parsing Network (PSPNet) on Cityscape Dataset. European Journal of Applied Science, Engineering and Technology, 3(1), 87–98. doi:10.59324/ejaset.2025.3(1).07
2. Huang, J., & Sowe, E. A. (2025). Semantic Segmentation in Self-Driving Cars Using U-Net Architecture on Cityscape Dataset. International Journal of Engineering Applied Sciences and Technology, 9(09), 24–34. doi:10.33564/IJEAST.2025.v09i09.004
3. Sowe, E. A., & Bah, Y. A. (2025). Momentum Contrast for Unsupervised Visual Representation Learning. Journal of Advances in Civil and Mechanical Engineering, 2(1), 1–6. doi:10.64030/3067-2457.02.01.01
4. Sowe, E. A., Bah, Y. A., Sowe, M., & Sowe, A. (2025). Satellite Communications in the New Space Era: A Survey and Future Challenges. World Journal of Sensors Network Research, 2(1), 1–6. Publisher full text

Academic service

Reviewer, IEEE Access

Areas: computer vision, image segmentation, neural visual representations, and optimization.

Web of Science ResearcherID: OVZ-2724-2025.

Honours & scholarships

• 2025: Excellent Student, Perceive China – Intelligent Creation Future International Student Academic Exchange Activity; Wuhan University of Technology, China Scholarship Council, and Huawei.
• 2022: China Scholarship Council scholarship.
• 2018: Government of The Gambia scholarship.

Professional experience

Technical skills & languages

Python, Java, web development, data mining, data visualization, computer vision, and network optimization.

English (native); French (A2); Chinese (A2).