Projects per year
Personal profile
Research Interests
Recent research:
The research focuses on the application of advanced computational models and data analytics to address complex challenges in public health, environmental monitoring, and business management. A significant portion of the work involves the development of predictive tools using machine learning—specifically Random Forest, regression models, and emerging quantum machine learning techniques—to forecast variables such as alcohol consumption patterns, indoor air quality, and corporate sales performance. In the environmental domain, the research integrates IoT-based monitoring with fuzzy logic and predictive algorithms to mitigate health risks associated with indoor pollutants and Sick Building Syndrome. Furthermore, the work extends to clinical support through AI-driven image processing for diagnostic applications. Beyond technical modeling, the research encompasses socio-economic and regulatory analyses, including the study of capital structure theories in the commercial sector, the evolution of artisan legislation, and the determinants of foreign direct investment in manufacturing. This multidisciplinary approach bridges the gap between data-driven decision-making and practical applications in social, economic, and health-related contexts.
Key Topics:
The research focuses on the application of advanced computational models and data analytics to address complex challenges in public health, environmental monitoring, and business management. A significant portion of the work involves the development of predictive tools using machine learning—specifically Random Forest, regression models, and emerging quantum machine learning techniques—to forecast variables such as alcohol consumption patterns, indoor air quality, and corporate sales performance. In the environmental domain, the research integrates IoT-based monitoring with fuzzy logic and predictive algorithms to mitigate health risks associated with indoor pollutants and Sick Building Syndrome. Furthermore, the work extends to clinical support through AI-driven image processing for diagnostic applications. Beyond technical modeling, the research encompasses socio-economic and regulatory analyses, including the study of capital structure theories in the commercial sector, the evolution of artisan legislation, and the determinants of foreign direct investment in manufacturing. This multidisciplinary approach bridges the gap between data-driven decision-making and practical applications in social, economic, and health-related contexts.
Key Topics:
- Predictive modeling and Machine Learning
- Indoor air quality and environmental health
- Business intelligence and financial forecasting
- Public health risk assessment
- Regulatory and socio-economic analysis
Expertise related to 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. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 5 Gender Equality -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
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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
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Artificial Intelligence and Neuroscience in the Analysis of Ecuadorian Business Management
Cuesta Astudillo, F. L. (PI), Villa Parra, A. C. (Col), Buele Nugra, I. G. (Col), Marin Neira, D. M. (Student), Coral Pesantez, L. E. (Col), Paredes Andaluz, C. C. (Student), Muzha Iñaguazo, C. M. (Student), Llivicota Patiño, K. P. (Student), Mocha Guaillas, D. E. (Col), Berrezueta Saraguro, A. T. (Student), Mejia Mejia, F. M. (Col), Luna Celi, E. P. (Student), Saltos Patiño, D. A. (Student), Portilla Inga, D. M. (Student), Lucero Angamarca, J. A. (Student) & Castillo Rodriguez, A. F. (Student)
26/09/24 → …
Project: Research and Development
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Improvement Level of Tax Advisory and Research Competencies of Students in the Accounting and Auditing Program at the Salesian Polytechnic University
Cuesta Astudillo, F. L. (Col), Buele Nugra, I. G. (Col), Arce Bau, D. C. (Col), Garcia Bacuilima, J. L. (PI), Calle Wilchis, C. F. (External), Padilla Monge, D. A. (Student), Barzallo Carchipulla, J. L. (Student) & Chang Alvarez, J. A. (Student)
21/05/24 → …
Project: Research and Development
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The Legislative Power in the Countries that Form the CAN: Characteristics and Spending Efficiency, 2015-2021
Cuesta Astudillo, F. L. (Col), Buele Nugra, I. G. (Col), Arce Bau, D. C. (Col), Garcia Bacuilima, J. L. (PI) & Arpi Suin, S. M. (Student)
11/04/22 → 6/04/23
Project: Research and Development
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Analysis of Indicators and Proposal for Improvements in the Job Satisfaction of University Teachers in the Context of RSU
Calle Ramirez, D. C. (PI), Cuesta Astudillo, F. L. (Assistant) & Salinas Vasquez, J. V. (Assistant)
2/10/13 → 2/10/14
Project: Research and Development
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Fuzzy risk assessment system for indoor air quality and respiratory disease prevention
Nunes, É. D. O., Barrera, A. I. P., Peralta, L. M. R., Sampaio, P. N. M. & Astudillo, F. L. C., Oct 2025, In: IAES International Journal of Artificial Intelligence. 14, 5, p. 3693-3701 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Leveraging Quantum Machine Learning for Accurate Indoor Air Quality Forecasting and Risk Mitigation
Gómez, F. S., Sampaio, P. N. M., Peralta, L. M. R., Cuesta Astudillo, F. L. & de Oliveira Nunes, É., 2025, Information Technology and Systems, ICITS 2025. Rocha, A., Ferrás, C. & Calvo, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 276-286 11 p. (Lecture Notes in Networks and Systems; vol. 1448 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Risk in the Health and Wellbeing of Ecuadorians: Predicting Alcohol Consumption Based on Lifestyle, Using Machine Learning
Cuesta-Astudillo, F., Buele-Nugra, I. & Pesántez, L. B. T., 21 Aug 2025, A Journey towards Happiness Management as a leitmotiv for well-being, social marketing and business success. Peter Lang Publishing Group, p. 227-237 11 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Audit Reports as a Criterion for Foreign Direct Investment in Manufacturing Industries Period 2013-2019
Cuesta Astudillo, F. L., Buele Nugra, I. G., Quezada Vanegas, S. M. & Erazo Garzon, J. F., 30 Jun 2024, In: Revista Pensamento Contemporâneo em Administração. 18, 18, p. 48-58 11 p.Research output: Contribution to journal › Article
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Beyond One Room: Comprehensive Predictive Analysis of CO2 in Indoor Air Quality
Barrera, A. I. P., Peralta, L. M. R., De Oliveira Nunes, E., Sampaio, P. N. M. & Astudillo, F. L. C., 2024, 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Proceedings. Orjuela-Canon, A. D. (ed.). Institute of Electrical and Electronics Engineers Inc., (2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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