PEREZ PEREZ, ESVAN DE JESUS
INGENIERÍA · Nivel 1
Desde 2019 es en Universitat Politècnica de Catalunya
Esvan de Jesús Pérez Pérez is a researcher specializing in artificial intelligence, automatic control, and robust fault diagnosis in complex...
Esvan de Jesús Pérez Pérez is a researcher specializing in artificial intelligence, automatic control, and robust fault diagnosis in complex engineering systems. He holds a Ph.D. in Automatic Control, Robotics and Vision from the Universitat Politècnica de Catalunya (UPC), Spain, and a Ph.D. in Engineering Sciences from the Tecnológico Nacional de México.
His research interests include machine learning and deep learning, neuro-fuzzy systems, fault diagnosis and fault-tolerant control, cyber-physical systems, cybersecurity, digital twins, computer vision, and renewable energy systems. His work has focused on applications involving wind turbines, chemical reactors, water distribution systems, autonomous vehicles, and unmanned aerial vehicles.
He is a Level I member of Mexico's National System of Researchers (SNII), an IEEE Senior Member, and an IFAC Associate. He has published research in international peer-reviewed journals and has participated in research, technological development, academic training, and knowledge-transfer projects.
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| Nombre | ESVAN DE JESUS PEREZ PEREZ |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | INGENIERÍA |
| Disciplina | INGENIERÍA ELECTRÓNICA |
| Especialidad | AUTOMATIZACION Y CONTROL |
| CVU | 845223 |
| Institución | |
|---|---|
| Tipo de institución | Pública |
| Dependencia | INSTITUTO TECNOLOGICO DE TUXTLA GUTIERREZ |
| Entidad | CHIAPAS |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2025 |
| Fin: 31/12/2029 |
Evolución en el SNII
- Nivel I: 2025–2026
Últimas publicaciones Scopus
- 2026
- Artificial Intelligence, Digital Twins, and Cyber-Resilience in Water Distribution Systems: A Critical Narrative Review with a WDT Benchmark Case Study Eng · Vol. 7 Review
- Data-Driven Fault Diagnosis in Chemical Reactors Using Takagi–Sugeno Models and Zonotopic PI Observers Algorithms · Vol. 19 Article
- Neural Backstepping Control for Trajectory Tracking of Wheeled Mobile Robots Mathematics · Vol. 14 Article
- Wind turbine fault diagnosis using structural analysis and optimized-Rectangular GPR interval estimation Control Engineering Practice · Vol. 172 Article
- A Neuro-Fuzzy Approach for Forest Fire Risk Identification Using Aerial Imagery and Meteorological Data AI Switzerland · Vol. 7 Article
