Anibal Reñones as PhD Engineer, works at CARTIF developing R&D tasks in projects related to industrial diagnostics, predictive maintenance and development of custom embedded devices for different fields such as freight transport or energy efficiency in industry. His research work covers areas such as fault diagnosis for wind turbines, transportation, discrete and continuous process manufacturing systems. He has an experience of more than 15 years in European projects about industry. At present, Anibal leads the Industry 4.0 CARTIF’s research area and works actively in  CAPRI project, (870062) and s-X-AIPI (101058715) focused in cognitive and autonomous AI solutions for process industry.