Yarens Cruz

Experience of Yarens Cruz

Yarens J. Cruz was born in Matanzas, Cuba, on January 24, 1991. He received the B.S.Eng. degree in automation engineering from the Instituto Superior Politécnico José Antonio Echeverría (ISPJAE), Havana, Cuba, in 2015, and the Master's degree in computer-aided engineering from the University of Matanzas, Matanzas, Cuba, in 2019. Between 2015 and 2017 he worked as an automation technical advisor at EMSIL, Matanzas, Cuba. Between 2017 and 2021 he worked as a researcher at the Centro de Estudios de Fabricación Avanzada y Sostenible (CEFAS), Matanzas, Cuba. Since 2022, he is a predoctoral fellow at the Centre for Automation and Robotics (CSIC-Universidad Politécnica de Madrid), Spanish National Research Council, Madrid, Spain. His current research interests include machine learning, computer vision, robotics, industrial cyber-physical systems, internet of things and industry 4.0. He has authored or coauthored several journal and conference papers.

Email: y.cruz@car.upm-csic.es

Category: M3

Position: INGENIERO EN AUTOMATICA Y ELECTRÓNICA INDUSTRIAL

Research Group: GAMHE

H-Index (Scopus): 3

Articles by Relevance (Most Cited in Scopus)

Authors

Title

Year

Publication

Citations

Cruz Y. Rivas M. Quiza R. Beruvides G. Haber Guerra R.
Computer vision system for welding inspection of liquefied petroleum gas pressure vessels based on combined digital image processing and deep learning techniques
2020
Sensors (Switzerland)
20
Cruz Y. Rivas M. Quiza R. Villalonga A. Haber Guerra R. Beruvides G.
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process
2021
Computers in Industry
14
Castaño F. Cruz Y. Villalonga A. Haber Guerra R.
Data-Driven Insights on Time-to-Failure of Electromechanical Manufacturing Devices: A Procedure and Case Study
2023
IEEE Transactions on Industrial Informatics
3
Cruz Y. Rivas M. Quiza R. Haber Guerra R. Castaño F. Villalonga A.
A two-step machine learning approach for dynamic model selection: A case study on a micro milling process
2022
Computers in Industry
2

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