Julia Wasala
PhD candidate
- Name
- J. Wasala
- Telephone
- 071 5274799
- j.wasala@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-6352-8625
I’m a PhD candidate curious about automatically solving complex climate-related problems with Automated Machine Learning. I want to create robust models from challenging datasets using my interdisciplinary skillset. Furthermore, I’m passionate about making AI accessible, from communicating exciting applications with the general public to helping EO experts develop AI models.
PhD candidate
- LIACS
- Machine Learning
- Wasala J., Maasakkers J.D., Aben I., Schneider R., Hoos H.H. & Baratchi M. (2026), Mitigating representation bias caused by missing pixels in methane plume detection. Koprinska I., Mendes-Moreira J. & Branco P. (Eds.), Machine learning and principles and practice of knowledge discovery in databases. ECML PKDD 2025.: communications in computer and information science. ECML/PKDD-2006. Communications in Computer and Information Science no. 2843. Cham: Springer . 325-334.
- Wasala J, Maasakkers J.D., Schuit B.J., Leguijt G., Aben I., Schneider R., Hoos H.H. & Baratchi M. (2025), AutoMergeNet: autoML-based M-source satellite data fusion evaluated with atmospheric case studies, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18: 26613-26625.
- Wasala J., Marselis S.M., Arp L.R., Hoos H.H., Longépé N. & Baratchi M. (2024), AutoSR4EO: an autoML approach to super-resolution for earth observation images, Remote Sensing 16(3): 443.