Research Excellence Award
Ronald Garcés
| Ronald Garcés |
| Affiliation |
Corporación WOLF S.A |
| Country |
Ecuador |
| Scopus ID |
58072300700 |
| Documents |
1 |
| Citations |
2 |
| h-index |
1 |
| Subject Area |
Electrical and Electronics Engineering |
| Event |
Scientific World Research Awards |
Ronald Garcés is associated with engineering and technological research activities related to automation systems, artificial vision, and Internet of Things (IoT)-based monitoring applications. His scholarly contributions reflect emerging developments in electrical and electronics engineering, particularly in hydraulic infrastructure automation and remote measurement technologies.[1] His academic profile demonstrates participation in applied engineering research intended to improve operational efficiency and technological reliability in environmental and industrial systems.
Abstract
Ronald Garcés has contributed to the advancement of engineering applications involving artificial vision, automation, and IoT-enabled monitoring systems. His published research demonstrates interest in remote data acquisition methods for hydraulic infrastructures and automated environmental observation technologies.[2] Through collaborative engineering approaches, his work supports the modernization of remote measurement systems and contributes to practical developments within electrical and electronics engineering. The integration of intelligent monitoring solutions in hydraulic systems represents a relevant contribution to infrastructure management, operational precision, and technological sustainability within applied engineering environments.
Keywords
Artificial Vision, Internet of Things, Automation Engineering, Hydraulic Monitoring, Remote Reading Systems, Electrical Engineering
Introduction
The growing integration of intelligent automation technologies has transformed engineering practices across environmental and industrial sectors. Research involving remote sensing and IoT-based monitoring systems has become increasingly significant for operational efficiency and infrastructure analysis.[3] Ronald Garcés has participated in this evolving area through contributions connected to automated hydraulic measurement technologies and artificial vision applications.
Research Profile
The researcher’s Scopus profile identifies scholarly activity within electrical and electronics engineering. His profile includes conference-based engineering publications focused on intelligent automation and remote observation systems.[1] These contributions reflect interdisciplinary technical engagement involving automation technologies and infrastructure management systems.
Research Contributions
Ronald Garcés contributed to research concerning artificial vision and IoT solutions for automated remote reading in hydraulic weirs and limnimeter systems.[2] The study explored methods for improving monitoring precision and enabling more efficient infrastructure observation processes through integrated digital technologies.
Publications
- “Artificial Vision and IoT for Automation of Remote Reading for Limnimeters in Hydraulic Weirs.”[2]
- Engineering conference contributions related to intelligent monitoring and automation technologies.
Research Impact
The application of automated monitoring technologies in hydraulic systems contributes to improved data reliability and operational responsiveness. Research involving artificial vision and IoT integration has relevance for water resource management, infrastructure maintenance, and digital engineering innovation.
Award Suitability
Ronald Garcés demonstrates suitability for recognition through his involvement in applied engineering research focused on intelligent automation and infrastructure technologies. His scholarly participation within emerging engineering applications aligns with the objectives of research excellence and innovation-oriented academic awards.
Conclusion
The academic contributions of Ronald Garcés highlight ongoing engagement with technological research areas involving automation, IoT systems, and artificial vision applications. His engineering-related studies contribute to contemporary discussions surrounding intelligent monitoring systems and digital infrastructure development within applied engineering disciplines.[4]
External Links
References
- Elsevier. (n.d.). Scopus author details: Ronald Garcés, Author ID 58072300700. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=58072300700
- Garcés-Llerena, R. et al. (2022). Artificial Vision and IoT for Automation of Remote Reading for Limnimeters in Hydraulic Weirs.
DOI:https://doi.org/10.1007/978-3-031-21438-7_34
- Scopus Preview. (2026). Conference publication records for Ronald Garcés-Llerena.
https://www.scopus.com/
- Scientific World Research Awards. (2026). Research recognition and engineering innovation awards.
Scientific World Research Awards