Mr. Carlos Domínguez Acosta | automation and control | Best Researcher Award

Mr. Carlos Domínguez Acosta | automation and control | Best Researcher Award

Mr. Carlos Domínguez Acosta,  University of Santiago of Chile, Chile 

Mr. Carlos Domínguez Acosta is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

ORCID

👨‍🎓 Education and Experience

I earned my B.Eng. from Universidad Tecnológica de La Habana, Havana, Cuba, in 2014. Following graduation, I served as a professor at Universidad Tecnológica de La Habana, contributing to the Faults Diagnosis and Parameters Estimation for Industrial Processes research group. Our work, focused on fuzzy logic for faults diagnosis, was presented internationally and published in a reputable journal. Currently pursuing a Ph.D. in Electric Engineering at Universidad de Santiago de Chile since March 2021, my research interests span robotics, automation, process control, artificial intelligence, faults diagnostics, and fault-tolerant control.

🌐 Research and Innovations

I have completed three research projects, with a citation index of 1 in Scopus/Web of Science. My cumulative impact factor for the last three years stands at 20.5. Aiming to bridge gaps in robotics, I’ve developed a novel 4-arm Delta parallel manipulator for the food industry, incorporating intelligent control and fuzzy logic techniques. These contributions form a foundation for future industrial applications and guide the next generation of researchers.

🏆 Achievements

Two journals published in Scopus, Web of Science, and PubMed indexes.Graduated two research scholars.Organized and presented at one conference.Received one award.

🚀 Contribution to R&D and Extension Activities

My research supports robotics development, specifically a 4-arm Delta manipulator for the food industry. Intelligent control and fuzzy logic techniques contribute to a space lacking attention, providing foundations for industrial applications and inspiring future researchers.

📝 Self Declaration

I affirm the accuracy and completeness of the provided information. Any concealment of material information may lead to the termination of my application. I have read and agreed to the terms, conditions, and policies of the International Research Awards.