He is in charge of the IT and Industry 4.0 Applications department, where he leads software implementation in related projects. His works are indeed focused on systems integration and processes scale-up as well as on the implementation and deployment of laboratory-developed solutions in industrial environments.
He also completed an MSc at the same University. He obtained a second MSc in the University of Zaragoza, Spain. He also completed a Ph.D. at the same University and got a prize for the best academic record. Since he finished his studies, he has been working on the research field. For eight years, he collaborated and worked at CIRCE (Centre of Research for Energy Resources and Consumption), in the Natural Resources Department. Nowadays, his work is focused on mathematical simulation on energy efficiency and environmental aspects by applying energy and exergy balances, as well as Thermoeconomic analyses to optimise different industrial processes (focused on solar and desalination systems). Moreover, he was in charge of a trigeneration with hybrid renewable energies for desalination (heat, water and electricity production) during CIRCE and Zaragoza University cooperation (TRHIBERDE Spanish national project, Ministry of Science and Innovation). Since June 2019, Luis Acevedo is part of the IT & Digital Apps department, at IDENER, and he collaborates in the performance of numerical models, heat transfer process, phase change materials, microwave systems and machine learning models.
He joined IDENER in 2022, as part of the IT and Digital Apps department as an R&D Engineer and his work is focused on working together with the rest of the engineering team in the definition, development and testing of mathematical modelling and machine learning applications.
Recently, he completed an MSc in Artificial Intelligence at International University of Valencia. He joined IDENER in 2019, and he is part of the IT and Industry 4.0 Applications department as an R&D Engineer. His works are focused on data processing and programming systems based on machine learning. Thanks to his position, he has developed a keen interest in those fields, especially to improve the efficiency of industrial processes and contribute to the fight against climate change.