dr. R.M. Aguilar Bolivar (Rosa)

I’m a GeoAI researcher and educator working at the intersection of machine learning, geospatial data, and community participation. As an Assistant Professor at the University of Twente, I teach courses on scientific programming and machine learning, and I coordinate the GeoAI module of the UNIGIS Master’s program. My research focuses on data-driven methods for evidence-based decisions, from mapping smallholder farming systems with cloud-based multi-temporal ensemble classifiers to using high-resolution imagery to improve the SDG indicator on open spaces. 

I also care about communities. I love working in participatory settings and developed OGITO, an open, interactive geospatial tool that supports collaborative spatial planning with a maptable. As an active member of the QGIS community, I teach hands-on open-source GeoAI workshops at FOSS4G to help make these methods accessible to everyone. I’m also passionate about bringing more women into STEM

I am a Computer System Engineer, holding two master’s degrees in computer science and Geoinformatics from the University of Simon Bolivar and the University of Twente, and a PhD in urban planning.  Before joining ITC, I served as deputy president of the Geographic Institute of Venezuela, where I worked across GIS, remote sensing, spatial databases, and spatial data infrastructure.

Expertise

• Computer Science

  • Collaboration
  • Interactive Tool
  • Planning Process
  • Participatory Design
  • Case Study

• Earth and Planetary Sciences

  • Sustainable Development Goals

• Social Sciences

  • Spatial Planning
  • Interactivity

Organisations

Publications

Research profiles

Machine learning

Geo Artificial Intelligence

Scientific Geocomputation

Courses academic year 2026/2027

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2025/2026

A cloud-based multi-temporal ensemble classifier to map smallholder farming systems

Cloud Computation Using High-Resolution Images for Improving the SDG Indicator on Open Spaces

Smart Monitoring for a Changing Climate: Machine Learning in Pollen Prediction

Digital tools for stakeholders engagement

Address

University of Twente

Langezijds (building no. 19), room 1412
Hallenweg 8
7522 NH Enschede
Netherlands

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Organisations