Esvan de Jésus Pérez Pérez is a researcher and professor with expertise in intelligent control systems, cybersecurity, and data-driven solutions for dynamic and critical systems. As a member of Mexico's National System of Researchers (SNI Level I), his work focuses on developing methodologies that integrate artificial intelligence, machine learning, and control theory to address challenges in engineering and technology.
His research interests include hybrid fault diagnosis in nonlinear dynamic systems using neuro-fuzzy zonotopic observers, intelligent control applications for wind turbines and water distribution networks, and cybersecurity, with an emphasis on attack detection in cyber-physical systems and penetration testing to strengthen organizational cyber intelligence. Currently, he is exploring the integration of technologies such as IoT and digital twins to enhance the resilience and efficiency of critical infrastructures, including water networks and industrial processes.
Esvan de Jésus Pérez Pérez is a researcher and professor with expertise in intelligent control systems, cybersecurity, and data-driven solutions for dynamic and critical systems. As a member of Mexico's National System of Researchers (SNI Level I), his work focuses on developing methodologies that integrate artificial intelligence, machine learning, and control theory to address challenges in engineering and technology.
His research interests include hybrid fault diagnosis in nonlinear dynamic systems using neuro-fuzzy zonotopic observers, intelligent control applications for wind turbines and water distribution networks, and cybersecurity, with an emphasis on attack detection in cyber-physical systems and penetration testing to strengthen organizational cyber intelligence. Currently, he is exploring the integration of technologies such as IoT and digital twins to enhance the resilience and efficiency of critical infrastructures, including water networks and industrial processes.