Rosa Aguilar
Employers on the program
- 2024–2026University of Twente4 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- FOSS4G
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Aug 30, 2026 | FOSS4G 2026 | FOSS4G | workshop | GeoAI Level Up: Deep Learning and Spatial Data Preparation with QGIS. as University of Twente This workshop builds on "Setting the Scene – GeoAI: An Intro" (FOSS4G 2024). Having established the foundations of machine learning in the previous edition, we…Show lessThis workshop builds on "Setting the Scene – GeoAI: An Intro" (FOSS4G 2024). Having established the foundations of machine learning in the previous edition, we now focus more attention to deep learning — one of the most powerful and fast-evolving branches of AI — and its practica… | |
| Aug 30, 2026 | FOSS4G 2026 | FOSS4G | speaker | Reproducibility in geospatial research: a case study. as University of Twente Reproducibility in geospatial science is hindered by opaque data, proprietary software, and complex machine learning workflows. | |
| Dec 2, 2024 | FOSS4G 2024 | FOSS4G | speaker | Fieldwork data collection for agriculture: tips, tricks, and lessons from Mozambique as University of Twente Collecting data in the field has become an essential task in most geospatial workflows. Geospatial data collection using mobile applications is expensive…Show lessCollecting data in the field has become an essential task in most geospatial workflows. Geospatial data collection using mobile applications is expensive because it involves human effort, and several considerations need to be taken into account. | |
| Dec 2, 2024 | FOSS4G 2024 | FOSS4G | workshop | Setting the scene – GEO Artificial intelligence: an intro as University of Twente Artificial intelligence is disrupting many fields of knowledge. The Geoscience domain is not exempt from such disruptions. For that reason, understanding…Show lessArtificial intelligence is disrupting many fields of knowledge. The Geoscience domain is not exempt from such disruptions. For that reason, understanding machine learning workflows is crucial. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alex Leith | 2 | — | 2026 |
| Antonio Cerciello | 2 | — | 2026 |
| Beatrice Charles Mkumbo | 2 | — | 2026 |
| Benjamin Webb | 2 | — | 2026 |
| Carlos Eduardo Mota | 2 | — | 2026 |
| Christoph Friedrich | 2 | — | 2026 |
| Christopher Beddow | 2 | — | 2026 |
| Daniel Araújo Miranda | 2 | — | 2026 |
| Dennis Bauszus | 2 | — | 2026 |
| Edoardo Neerhut | 2 | — | 2026 |
| Fran Raga | 2 | — | 2026 |
| Gérald Fenoy | 2 | — | 2026 |
| Jan Burdziej | 2 | — | 2026 |
| Jarrett Keifer | 2 | — | 2026 |
| Joana Simoes | 2 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.