Projects per year
Organization profile
Organization profile
The mission of the Artificial Intelligence and Assistive Technologies Research Group (GI-IATA) is to develop research processes that promote the inclusion and improvement of people with disabilities, especially children, through various areas such as education, personal autonomy and the social awareness. It uses innovative technological tools based on ICT, artificial intelligence and embedded devices. Its vision focuses on becoming a national and international benchmark in the creation of inclusive alternatives, supported by innovative technologies and with a Salesian perspective, seeking to enhance the development of people with disabilities and be recognized for the human and professional quality of its employees. collaborators, as well as for their contribution to the communities most in need. In addition, the GI-IATA has implemented a new prototype development model for special education, based on the theory of meaningful learning.
Research lines:
- Bioengineering and technologies applied to health
- Computer science and intelligent systems development
- Educational policies, anthropology and human behavior
- Inclusive technologies for education and employment
Coordinator:
Hurtado Ortiz Remigio Ismael ([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 5 Gender Equality -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
Fingerprint
Dive into the research topics where Research Group on Artificial Intelligence and Assistive Technologies (GI-IATA) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Design and validation of a gamified digital application and a web dashboard for the prevention of violence against women with cultural relevance in indigenous youth
Robles Bykbaev, V. E. (Col), Merchan Arizaga, X. M. (Col), Perez Muñoz, A. A. (Col), Zuñiga Ortega, D. C. (Col), Robles Bykbaev, Z. Y. (Col), Aguilar Tenemaza, M. P. (Assistant), Campoverde Duran, R. A. (Col), Jimenez Pesantez, E. (PI), Avila Argudo, D. M. (Student), Herrera Morocho, P. D. (Student), Vanegas Orellana, M. P. (Student), Salazar Varela, T. A. (Student), Pelaez Perez, S. I. (Student), Narvaez Orellana, J. A. (Student), Andrade Quizhpe, L. I. (External), Maldonado Rivera, R. P. (External) & Ortega Jiménez, D. M. (External)
16/04/26 → …
Project: Research and Development
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Design of short-lived sporadic learning networks using artificial intelligence algorithms for the generation of personalized and collaborative itineraries in digital learning environments
Hurtado Ortiz, R. I. (Col), Orozco Tupacyupanqui, W. H. (PI), Bravo Torres, J. F. (Col) & Torres Bastidas, J. P. (Student)
10/03/26 → …
Project: Research and Development
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Educational factors associated with depression in older adults and their implications for prevention and well-being strategies
Castro Villalobos, S. E. (PI), Sucozhañay Idrovo, J. C. (Student), Perez Castro, M. M. (Col), Pérez Rojo, G. (External) & Zacarés González, J. J. (External)
10/03/26 → …
Project: Research and Development
Research output
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A Comparative Study of Unsupervised Machine Learning and Deep Learning Techniques for Anomaly Detection in Recommender Systems
Bojorque Chasi, R. X., Hurtado Ortiz, R. I., Arcos Argudo, M. A. & Ortiz Ochoa, M. S., May 2026, In: Information (Switzerland). 17, 5, p. 1-23 23 p., 426.Research output: Contribution to journal › Article › peer-review
Open Access -
Analysis of the Design of an MPLS Network for Convergent Systems in IoT, VoD, and VoIP
Rosero Vasquez, S., Baculima Suárez, J. & Torres Soto, A., 2026, Advanced Research in Technologies, Information, Innovation and Sustainability - 5th International Conference, ARTIIS 2025, Revised Selected Papers. Guarda, T., Portela, F., Augusto, M. F. & Coronado-Hernández, J. R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 415-425 11 p. (Communications in Computer and Information Science; vol. 2788 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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An Intelligent Mobile Navigation System for Visually Impaired People Using Computer Vision and Deep Learning for Multi-label Classification in Park Environments
Hurtado, R. & Delgado, C., 2026, Smart Technologies, Systems and Applications - 4th International Conference, SmartTech-IC 2024, Revised Selected Papers. Narváez, F. R., Villa, M. N. & Díaz, G. M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 405-419 15 p. (Communications in Computer and Information Science; vol. 2392 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Press/Media
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Study Findings on Machine Learning Are Outlined in Reports from Polytechnic University (NSCH-Flourishing-ML: A Curated Dataset and Reproducible Pipeline for Machine Learning Analysis of Child Flourishing)
Bojorque Chasi, R. X. & Pesantez Aviles, L. F.
4/06/26
1 item of Media coverage
Press/Media: Press / Media
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Polytechnic University Researchers Describe Research in Networks (Quantization of Deep Neural Networks for Medical Image Analysis: A Systematic Review and Meta-Analysis)
6/02/26
1 item of Media coverage
Press/Media: Press / Media
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Reports Outline Computer Science Study Findings from Polytechnic University (Matrix Factorization-Based Clustering for Sparse Data in Recommender Systems: A Comparative Study)
9/10/25
1 item of Media coverage
Press/Media: Press / Media