Vincess Dongmo

Vincess Dongmo

ML Researcher bridging Physics & AI. Research Fellow at Fatima Institute. Focused on biomedical imaging, physics-informed ML, and climate AI.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Leveraging Machine Learning for Enhanced Financial Inclusion: Revolutionizing Agricultural Banking in Central Africa

Published in OpenReview, 2025

Proposed a credit scoring model using alternative data (mobile money transactions, crop yields, weather, demographics) for rural farmers in Central Africa.

Recommended citation: Fokam Ninyim Astride Melvin, Vincess Dongmo. (2025). "Leveraging Machine Learning for Enhanced Financial Inclusion: Revolutionizing Agricultural Banking in Central Africa." OpenReview, Submission #120. CC BY 4.0.
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CPU-Feature-Aware Virtual Machine Migration in Heterogeneous Environments

Published in Preprint, Polytechnique Yaoundé (ENSPY), 2023

Proposed a per-application, dynamic approach for safe VM migration across heterogeneous CPU hosts, reducing the required CPU feature mask from 47 flags to 12 essential flags.

Recommended citation: Vincess Dongmo, Tchudjing Ruben, Nguekeng Marc Donald, Ngom Mbock Michel, Tsanga Zo Onyaba, Nnange Akume. (2023). "CPU-Feature-Aware Virtual Machine Migration in Heterogeneous Environments." Preprint, Polytechnique Yaoundé.
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