Brian Ochieng' Pondi

Projects

Open Earth Monitor Cyberinfrastructure— €12.7 million (EU-funded)

 

Summary

I am a researcher with expertise in API specification, geospatial machine learning, and software engineering. I currently work at the Spatio-Temporal Modeling Lab of the Institute for Geoinformatics (IFGI), University of Münster, on the EU-funded Open Earth Monitor Cyberinfrastructure project (€12.7 million). The project involves collaborative work within a consortium and aims to create innovative solutions for environmental monitoring and to advance technology.

 

Education

 

Publications

- Pondi, B., Suresh Kumar, S. S., & Giese, B. (2026). Interoperability in Earth Observation deep learning: A cross-language and cross-framework evaluation. https://doi.org/10.1016/j.acags.2026.100376
 

- Pondi, B., & Simoes, R. (2026). OpenEOcraft: A generic R-based framework for earth observation data cubes analysis. https://doi.org/10.1016/j.envsoft.2026.107087
 

- Pondi, B., & Pebesma, E. (2024). Standardizing Machine Learning APIs for Earth Observation Data Cubes. The 5th Spatial Data Science Symposium. https://doi.org/10.5281/zenodo.13960237
 

- Charette-Migneault, F., Avery, R., Pondi, B., Omojola, J., Vaccari, S., Membari, P., Peressutti, D., Yu, J., & Sundwall, J. (2024). Machine Learning Model Specification for Cataloging Spatio-Temporal Models. ACM SIGSPATIAL (GeoSearch '24), 36–39. https://doi.org/10.1145/3681769.3698586
 

- Pondi, B., Appel, M., & Pebesma, E. (2024). OpenEOcubes: an open-source and lightweight R-based RESTful web service for analyzing earth observation data cubes.* Earth Science Informatics, 17, 1809–1818. https://doi.org/10.1007/s12145-024-01249-y

 

- Fina, S., Gerten, C., Pondi, B., D'Arcy, L., O'Reilly, N., Vale, D. S., Pereira, M., & Zilio, S. (2022). OS-WALK-EU: An open-source tool to assess health-promoting residential walkability of European city structures. Journal of Transport & Health, 27, 101486. https://doi.org/10.1016/j.jth.2022.101486