Pablo Aparicio Ruiz

Pablo Aparicio Ruiz is a Professor in the Department of Industrial Organization and Business Management II at the Higher Technical School of Engineering, University of Seville. His academic work spans thermal comfort optimization, logistics systems, and infrastructure management with particular focus on Mediterranean climate applications.

His research interests concentrate on thermal comfort optimization in buildings, HVAC systems control, and logistics and supply chain management. He develops machine learning approaches for indoor climate prediction and implements adaptive algorithms for energy efficiency in building systems. His work on last-mile delivery optimization addresses urban logistics challenges through data-driven decision support systems.

Analysis of his recent publications reveals a strong trend toward machine learning applications in thermal comfort modeling for Mediterranean climates, with significant contributions to water infrastructure management and logistics optimization. His research bridges theoretical algorithms with practical implementations in building automation and transportation systems.

Professor Aparicio Ruiz actively participates in research projects including CONFOrt térmico (thermal comfort in resilient buildings), TRACSINT (optimized transport in integrated supply chains), and GRIAL (water network management using AI). His work demonstrates consistent collaboration with multidisciplinary teams across engineering disciplines.