Ronald Garcés | Electrical and Electronics Engineering | Research Excellence Award

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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]

References

  1. Elsevier. (n.d.). Scopus author details: Ronald Garcés, Author ID 58072300700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58072300700
  2. 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
  3. Scopus Preview. (2026). Conference publication records for Ronald Garcés-Llerena.
    https://www.scopus.com/
  4. Scientific World Research Awards. (2026). Research recognition and engineering innovation awards.

    Scientific World Research Awards


Jianxi Zhao | Artificial Intelligence | Best Researcher Award

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Mr. Jianxi Zhao | Artificial Intelligence | Best Researcher Award

Beijing Information Science and Technology University, China

Mr. Jianxi Zhao is an emerging researcher recognized for his contributions to computational statistics, recurrent event analysis, and advanced statistical modeling. Affiliated with Beijing Information Science & Technology University, he has developed expertise in handling complex quantitative data through innovative analytical methodologies. His scholarly work focuses on improving statistical accuracy in situations involving intermittently observed covariates and dynamic event-driven datasets. With multiple indexed publications and a steadily growing citation record, he has demonstrated academic consistency and research capability within the field of applied statistics. His research activities emphasize methodological precision, mathematical computation, and interdisciplinary problem-solving relevant to modern scientific investigations. Through collaborations with fellow researchers and participation in scholarly publishing, he continues to strengthen his professional visibility and academic impact. Mr. Jianxi Zhao’s dedication to statistical innovation and computational research reflects strong potential for future contributions to global scientific and analytical advancement.

Professional Profile

Education

Jianxi Zhao has established a solid academic background in statistics, computational mathematics, and data-oriented scientific research. Associated with Beijing Information Science & Technology University, he has developed expertise in advanced statistical methodologies, recurrent event analysis, and mathematical modeling. His educational foundation emphasizes quantitative reasoning, analytical computation, and applied statistical interpretation, enabling him to address complex research challenges effectively. Through continuous academic engagement, he has strengthened his understanding of survival analysis, time-varying coefficient models, and intermittently observed covariate techniques. His scholarly preparation reflects dedication to methodological precision and scientific innovation. The combination of theoretical knowledge and computational capability has supported his contributions to statistical sciences and interdisciplinary analytical studies. His educational journey highlights a commitment to rigorous research practices, academic discipline, and the advancement of modern computational statistics for practical and scientific applications.

Professional Experience

Mr. Jianxi Zhao has gained valuable academic and research experience through active involvement in computational statistics and analytical modeling studies. His professional activities include conducting statistical investigations, contributing to scholarly publications, and collaborating with researchers in quantitative science disciplines. Working within the research environment of Beijing Information Science & Technology University, he has participated in projects focusing on recurrent event data, predictive modeling, and applied statistical methodologies. His experience reflects competence in handling complex datasets, developing mathematical frameworks, and interpreting analytical outcomes for scientific purposes. He has also contributed to collaborative research networks involving multiple co-authors and interdisciplinary perspectives. Through publication activities and academic engagement, he has strengthened his professional reputation within computational and statistical research communities. His growing experience demonstrates dedication to scientific inquiry, problem-solving, and the application of innovative statistical techniques in contemporary research environments.

Research Interest

The research interests of Jianxi Zhao primarily focus on computational statistics, recurrent event analysis, survival data modeling, and time-varying coefficient methodologies. His scholarly attention is directed toward developing advanced statistical approaches capable of addressing incomplete or intermittently observed covariate information in complex datasets. He is particularly interested in improving analytical accuracy and predictive reliability within biomedical statistics, longitudinal data interpretation, and mathematical computation. His work explores innovative techniques that enhance the understanding of event-driven data structures and dynamic statistical relationships. In addition, he demonstrates interest in interdisciplinary applications where computational modeling supports scientific and technological advancements. His research orientation combines theoretical development with practical implementation, contributing to the evolution of modern statistical science. By investigating sophisticated analytical frameworks, he aims to provide meaningful solutions for complex quantitative challenges across academic and applied research domains.

Award and Honor

Mr. Jianxi Zhao has earned academic recognition through his impactful research contributions in computational statistics and applied data analysis. His scholarly publications, citation record, and collaborative research activities reflect growing recognition within the scientific community. With indexed publications and measurable citation impact, he has demonstrated the quality and relevance of his research work in statistical modeling and recurrent event analysis. His contributions have strengthened his professional standing as an emerging researcher in computational and mathematical sciences. Participation in collaborative academic studies and publication in recognized scientific platforms further highlights his dedication to research excellence. Although publicly available information regarding formal awards remains limited, his academic performance, research productivity, and methodological contributions represent significant professional achievements. His growing citation influence and consistent engagement in advanced statistical research position him as a promising contributor to future scientific innovation and scholarly development within the international research landscape.

Conclusion

Mr. Jianxi Zhao demonstrates strong potential in computational statistics through impactful research, scholarly dedication, and analytical expertise. His growing academic influence and innovative statistical contributions support continued success in advanced scientific research.

Publications Top Noted

  • Title: A time-varying coefficient rate model with intermittently observed covariates for recurrent event data
    Authors: Jianxi Zhao et al.
    Year: 2025

Wiktor Jakowluk | Robotics and Automation | Research Excellence Award

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Assist. Prof. Dr. Wiktor Jakowluk | Robotics and Automation | Research Excellence Award

Assistant Professor | Bialystok University of Technology | Poland

Assist. Prof. Dr. Wiktor Jakowluk is an emerging scholar at the Bialystok University of Technology whose research focuses on advanced system identification, optimal input signal design, and application-oriented modeling for dynamic and control systems. His work explores closed-loop identification, application-oriented spectrum design, and robust modeling approaches that support modern predictive control and intelligent automation. His research interests include dynamic system identification, experiment design, adaptive control strategies, fractional-order modeling, and data-driven optimization for engineering processes. Dr. Jakowluk’s research skills span mathematical modeling, simulation-driven validation, algorithmic optimization, MATLAB-based system analysis, and the development of innovative methodologies for identifying nonstationary or complex dynamic structures. Although no formal awards or grants are listed, his scholarly impact within the control engineering community is demonstrated through international collaborations, peer-reviewed publications, and contributions to open-access research. According to Scopus, he has 60 citations, 15 indexed documents, and an h-index of 4, reflecting steady and growing influence in the fields of system identification and control engineering. His work continues to advance practical and application-oriented identification techniques that support reliable, efficient, and high-performance control systems. Dr. Jakowluk’s research trajectory highlights his commitment to bridging theory and engineering practice, contributing valuable methods that strengthen modeling accuracy and intelligent system design.

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Featured Publications


Plant friendly input design for parameter estimation in an inertial system with respect to D-efficiency constraints

– Entropy 16(11), 5822–5837, 2014 (11 citations)


Design of an optimal input signal for plant-friendly identification of inertial systems

– Przegląd Elektrotechniczny 85(6), 125–129, 2009 (11 citations)


Optimal input signal design for fractional-order system identification

– Bulletin of the Polish Academy of Sciences: Technical Sciences 67(1), 37–44, 2019 (10 citations)


Free final time input design problem for robust entropy-like system parameter estimation

– Entropy 20(7), 528, 2018 (10 citations)


Design of an optimal excitation signal for identification of inertial systems in time domain

– Przegląd Elektrotechniczny 85(6), 125–129, 2009 (9 citations)

 

 

Jorge Francisco Aguirre-Sala | Artificial Intelligence | Breakthrough Research Award

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Dr. Jorge Francisco Aguirre-Sala | Artificial Intelligence | Breakthrough Research Award

Profesor-Investigador | Universidad Autónoma de Nuevo León | Mexico

Dr. Jorge Francisco Aguirre-Sala is a leading scholar in digital democracy, civic participation, and the ethical–political implications of emerging technologies, recognized for his influential contributions across Latin America. His research focuses on electronic democracy, citizen engagement through social media, digital governance, crime prevention using ICT, hermeneutics, and the ethical challenges of artificial intelligence. He is skilled in interdisciplinary analysis, qualitative political research, evaluative methodologies, and the integration of ecological ethics with digital policy. His body of work spanning topics such as liquid democracy, participatory budgeting, and digital transformation of the state has earned him strong academic impact and international visibility. Dr. Aguirre-Sala has received multiple recognitions for his contributions to political philosophy, digital participation models, and public policy innovation. According to Scholar metrics, he has 786 citations, 27 documents, and an h-index of 15, reflecting sustained scholarly influence across his fields of expertise. His work continues to advance democratic quality by bridging technology, ethics, and participatory governance, offering forward-looking insights into how digital tools reshape citizenship and state–society relations.

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Featured Publications

 

Darío Fernando Yépez Ponce | Robotics and Automation | Editorial Board Member

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Prof. Darío Fernando Yépez Ponce | Robotics and Automation | Editorial Board Member

Docente Investigador | Instituto Superior Universitario Central Técnico | Ecuador

Darío Fernando Yépez Ponce is a mechatronics and automation engineer and academic from Ecuador, currently working as a faculty member in electronics at Instituto Superior Universitario Central Técnico in Quito (since October 2024). His background includes an engineering degree in mechatronics (2016) from Universidad Técnica del Norte, plus ongoing postgraduate studies (Master’s in Electronics and Automation) at Universidad Politécnica Salesiana. Over the years he has served as a lecturer in various institutions across Ecuador teaching mechatronics, electronics, and automation engineering.Professor Yépez’s research interest concentrates on robotics, control systems (notably PID control), autonomous systems (including unmanned ground vehicles), microgrids and power electronics, IoT-based automation, and applications of mechatronics in agriculture and automation systems. His work shows a recurrent focus on optimization algorithms, control strategies, mobile robotics, and intelligent systems for automation and smart farming. Notable recent outputs include a 2025 journal article titled “Route Optimization for UGVs: A Systematic Analysis of Applications, Algorithms and Challenges,” which analyses algorithms for path planning in autonomous ground vehicles. In terms of research productivity and impact: according to his publicly visible profile, he has a Google Scholar citation count of about 113 citations.Publications span journal articles, conference papers, and book chapters. For example, his 2025 UGV-optimization article is indexed in major journals. The breadth of his work — from control system tuning (e.g., PID controllers via hybrid optimization strategies) to IoT-based systems and robotics — reflects a versatile research skill set in automation, control, robotics, power electronics, and applied mechatronics.Although I could not find a definitive public value for his Scopus h-index or total Scopus-document count (his Scopus Author ID is 57220807265), the combination of his journal-indexed articles, book chapters and recent contributions suggests a growing research profile, particularly in robotics, automation, and sustainable/renewable-power applications.In conclusion, Darío Fernando Yépez Ponce represents a dynamic and interdisciplinary researcher bridging mechatronics, control systems, automation, and robotics — with an orientation toward real-world applications such as autonomous vehicles and smart farming. His emerging publication record and international-indexed works position him as an active contributor in automation and mechatronics research circles.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

  1. Yépez-Ponce, D. F., Salcedo, J. V., Rosero-Montalvo, P. D., & Sanchis, J. (2023). Mobile robotics in smart farming: Current trends and applications. Frontiers in Artificial Intelligence, 6, 1213330.
    Citations: 99

  2. Ponce, H. M. Y., & Yépez-Ponce, D. F. (2020). Control de modo deslizante para microrredes: Una revisión. Investigación Tecnológica IST Central Técnico, 2(1), 14–14.
    Citations: 5

  3. Yépez Ponce, D. F., & Montalvo López, W. M. (2021). Development of a hybrid optimization strategy based on a bacterial foraging algorithm (BFA) and a particle swarming algorithm (PSO) to tune the PID controller of a ball and plate system. In XV Multidisciplinary International Congress on Science and Technology (pp. 15–29).
    Citations: 3

  4. Yépez-Ponce, D. F., Montalvo, W., Guamán-Gavilanes, X. A., & Echeverría-Cadena, M. D. (2025). Route optimization for UGVs: A systematic analysis of applications, algorithms and challenges. Applied Sciences, 15(12), 6477.
    Citations: 2

  5. Yépez Ponce, H. M., Yépez Ponce, D. F., Proaño Lapuerta, E. A., Mosquera Bone, C. E., & Alarcón Angulo, M. L. (2022). Open-source platform for development of taximeters: Adjustment software. In International Conference on Applied Technologies (pp. 532–544).
    Citations: 1

 

Solomon Legesse | Computer Science | Editorial Board Member

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Assoc Prof Dr. Solomon Legesse | Computer Science | Editorial Board Member

Postgraduate Coordinator | Bahir Dar University | Ethiopia

Dr. Solomon Addisu is a leading researcher in climate change, environmental systems, soil science, and sustainable land-use management, with a strong focus on Ethiopia and the broader East African region. His extensive body of work advances understanding of how climate variability, land degradation, agricultural systems, and natural resource pressures intersect to shape environmental sustainability and community resilience. Through more than a decade of scientific contributions, he has established himself as a significant voice in climate adaptation research, soil enhancement technologies, and watershed management.A central pillar of his research explores biochar technology, soil amendments, and nutrient cycling. His studies on water hyacinth-based biochar, phosphorus biofertilizers from animal bone, and the physicochemical transformations of biomass during pyrolysis offer pioneering insights into regenerative agriculture and soil rehabilitation. These works demonstrate the potential of low-cost, sustainable inputs to improve soil fertility, reduce acidification, enhance nutrient retention, and boost crop productivity—especially in degraded highland agroecosystems.Dr. Addisu is also widely recognized for his contributions to climate modeling, hydrological forecasting, and drought analysis. His research using CMIP6 scenarios, rainfall trend evaluations, and meteorological drought assessments provides vital actionable guidance for climate adaptation planning in vulnerable regions. He applies advanced geospatial tools, remote sensing, and machine learning to analyze land-use dynamics, watershed degradation, flood risks, and invasive species monitoring—most notably in the Lake Tana basin.Another core area of his work addresses environmental pollution, urban heat island effects, charcoal production impacts, and sustainable waste management solutions. His studies integrate socioeconomic, ecological, and policy perspectives, offering comprehensive frameworks for environmental governance, community-based adaptation, and nature-based solutions.Additionally, Dr. Addisu’s extensive research on climate change perceptions, rural livelihood vulnerabilities, agricultural resilience, and livestock diversification is widely cited in the fields of sustainable development and rural poverty reduction. His work equips policymakers and communities with evidence-based strategies to build resilience in the face of increasing climate stressors.Overall, Dr. Solomon Addisu’s research portfolio bridges environmental science, climate adaptation, soil restoration, and sustainable natural resource management. His contributions significantly strengthen scientific understanding and provide practical pathways toward ecological stability, food security, and climate-resilient development across Ethiopia and East Africa.

Profiles: ORCID

Featured Publications

  1. Kohira, Y., Fentie, D., Lewoyehu, M., Wutisirirattanachai, T., Gezahegn, A., Ahmed, M., Akizuki, S., Addisu, S., & Sato, S. (2025). The sustainable management of nitrogen fertilizers for environmental impact mitigation by biochar applications to soils: A review from the past decade. Environments.

  2. Fentie, D., Mihretie, F. A., Kohira, Y., Addisu Legesse, S., Lewoyehu, M., Wutisirirattanachai, T., & Sato, S. (2025). Optimizing cropping systems using biochar for wheat production across contrasting seasons in Ethiopian highland agroecology. Agronomy.

  3. Gezahegn, A., Selassie, Y. G., Agegnehu, G., Addisu, S., Mihretie, F. A., Kohira, Y., & Sato, S. (2025). Pyrolysis temperature changes the physicochemical characteristics of water hyacinth-based biochar as a potential soil amendment. Biomass Conversion and Biorefinery.

  4. Mekonnen, G. T., Berlie, A. B., Wubie, M. A., Legesse, S. A., & Cameselle, C. (2025). Surface urban heat island intensity and urban utility consumption: Impact analysis and projections. The Scientific World Journal.

  5. Addisu, S., Aniley, E., Gashaw, T., Kelemu, S., & Demessie, S. F. (2024). Evaluating the performances of gridded satellite products in simulating the rainfall characteristics of Abay Basin, Ethiopia. Sustainable Environment.

The nominee’s contributions in computer science advance intelligent systems that enhance automation, analytics, and digital decision-making across industries. Their innovative research accelerates global technological transformation, strengthens digital infrastructures, and drives smarter, more efficient solutions for society, businesses, and future technological innovation.