Prof. Jose E. Naranjo | Sensors | Editorial Board Member

Researcher | Technical University of Cotopaxi | Ecuador 

Prof. Jose E. Naranjo is a professor and researcher whose work advances the integration of Industry 4.0, automation, artificial intelligence, and immersive technologies to optimize industrial systems and enhance modern engineering education. With academic credentials in electronics, automation, and industrial operations, he has developed a strong multidisciplinary approach that connects digital transformation with practical industrial applications. His research explores digital twins, virtual and augmented reality, predictive maintenance models, intelligent control systems, and smart manufacturing solutions grounded in IoT and data-driven automation. He has contributed to numerous scientific studies addressing areas such as industrial optimization, immersive learning environments, fog computing, and intelligent controllers, often leading or collaborating on projects that bridge academia and industry. His publication record in Scopus and WoS indexed journals reflects significant contributions to applied sciences, computational modeling, and engineering innovation, supported by active participation in national research networks focused on industrial processes, automation, and resource management. His work includes collaborations with diverse co-authors on topics involving machine learning, virtual reality, energy efficiency, ergonomic assessment, and industrial training technologies. With an h-index of 12 and a growing body of citations, he is recognized for developing technological solutions that support predictive analytics, advanced monitoring, and control systems aligned with sustainable and efficient industrial practices. As a reviewer for high-impact scientific journals and conferences, he contributes to maintaining research quality while promoting emerging ideas in automation and intelligent systems. His combined academic, research, and consulting activities highlight his commitment to advancing digital transformation, innovation, and industrial excellence across multiple engineering domains.