Brian Ochieng' Pondi
AG Edzer Pebesma
| Room: | 133 |
| Email: | brian.pondi@uni-muenster.de |
| Phone: | +49 251 83-33192 |
| About: |
Projects:
Summary:
I am a Researcher with expertise in API specification, geospatial machine learning and software engineering. Currently, I am working at the Spatio-Temporal Modeling Lab of the Institute for Geoinformatics (IFGI) Münster on 2 EU-funded projects: Open Earth Monitor Cyberinfrastructure (€12.7 Million) and an Interdisciplinary Digital Twin Engine (€11.7 Million). These projects involve collaborative work within consortia and have a shared objective of creating innovative solutions for environmental monitoring and advancing digital twin technology.
Education:
- PhD Geoinformatics (University of Münster, Ongoing)- M.Sc. Geoinformatics (University of Münster) - B.A. Geography (Moi University)
Publications:
- Brian Pondi & Edzer Pebesma. (2024). Standardizing Machine Learning APIs for Earth Observation Data Cubes. The 5th Spatial Data Science Symposium. https://doi.org/10.5281/zenodo.13960237 - Francis Charette-Migneault, Ryan Avery, Brian Pondi, Joses Omojola, Simone Vaccari, Parham Membari, Devis Peressutti, Jia Yu, and Jed Sundwall. 2024. Machine Learning Model Specification for Cataloging Spatio-Temporal Models. ACM SIGSPATIAL (GeoSearch '24). Association for Computing Machinery, New York, NY, USA, 36–39. https://doi.org/10.1145/3681769.3698586 - Pondi, B., Appel, M. & Pebesma, E. OpenEOcubes: an open-source and lightweight R-based RESTful web service for analyzing earth observation data cubes. Earth Sci Inform 17, 1809–1818 (2024). 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. In Journal of Transport & Health (Vol. 27, p. 101486). Elsevier BV. https://doi.org/10.1016/j.jth.2022.101486 |