Organization profile
Organization profile
The IDEIAGEOCA Research Group is dedicated to the development of spatial data infrastructures, integrating Geographic Information Systems, Artificial Intelligence and Applied Computing technologies. Its mission is to become a scientific reference in these fields, prioritizing the integration of hardware and software platforms to offer services and process data efficiently. The group, made up of teachers from the Quito Campus, addresses problems such as anthropic and natural risks, climate change and the lack of accessibility to geospatial information, which affects both decision-making and resource management in vulnerable areas. . The need for multidisciplinary research is highlighted that allows for a better understanding and management of current challenges in the geospatial field.
Research lines:
- Data science and simulation
- Artificial intelligence and data mining
- Applied computing
Coordinator:
Navas Ruilova Gustavo Ernesto ([email protected])
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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SDG 1 No Poverty -
SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action -
SDG 16 Peace, Justice and Strong Institutions
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Collaborations and top research areas from the last five years
Profiles
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Development of a Smart Microgrid Named Eco-Campus for Optimal Energy Management, Characterization of Distributed Renewable Generation and Electrical Demand Using a Web Platform (MultiGroup IDEIAGEOCA)
Garcia Torres, E. M. (PI), Tufiño Cardenas, R. E. (Col), Ortiz Gonzalez, Y. M. (Student), Laine Andrade, J. A. (Student) & Ramos Zacarias, I. A. (Student)
30/05/25 → …
Project: Research and Development
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Integration of Qualitative and Quantitative Data Science for Education, Health, and Technological Development (GIERENA Multigroup)
Serrano Vincenti, M. S. F. (Col), Navas Ruilova, G. E. (PI), Tufiño Cardenas, R. E. (Col), Proaño Orellana, J. R. (Col), Yagüe, A. (External), Prieto Velez, P. M. (Col), Navas Reascos, G. (External), Navas Reascos, G. (External), Luna Cadena, M. L. (Student), Pilliza Quishpe, E. B. (Student), Rios Ahmed, G. B. (Student) & Puetate Enriquez, A. L. (Student)
9/04/25 → …
Project: Research and Development
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Hybrid System for Artificial Intelligence Model Inference in Local and Cloud Environments, Oriented to the Optimization of Research Processes through Flexible and Innovative Infrastructure
Navas Ruilova, G. E. (Col) & Proaño Orellana, J. R. (PI)
7/02/25 → …
Project: Research and Development
Research output
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A New Way of Cataloging Software Engineering from Grounded Theory
Navas, G. & Yagüe, A., Mar 2026, In: Applied Sciences (Switzerland). 16, 5, 2458.Research output: Contribution to journal › Article › peer-review
Open Access -
Automatic Comparison of Ecuadorian Facial Features with Marquardt Beauty Mask
Ormaza, J., Morillo, P. & Vallejo-Huanga, D., 2026, Robotics, Computer Vision and Intelligent Systems - 5th International Conference, ROBOVIS 2025, Proceedings. Röning, J. & Filipe, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 182-192 11 p. (Communications in Computer and Information Science; vol. 2629 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Chatbots in Multivariable Calculus Exams: Innovative Tool Or Academic Risk?
Navas Ruilova, G. E., Proaño Orellana, J. R., Orizondo Martinez, R. A., Navas Reascos, G. E. & Navas Reascos, G., 20 Jan 2026, In: Education Sciences. 16, 16, p. 1-23 23 p., 160.Research output: Contribution to journal › Article
Open Access