RONQUILLO LOMELI, GUILLERMO
INGENIERÍA · Nivel 1
Desde 1995 es Profesor Investigador en Centro de Ingeniería y Desarrollo Industrial
Ph.D. in Science and Technology in Mechatronics awarded by the Inter-institutional Postgraduate in Science and Technology at CIDESI, Master of Science with an honorable mention in instrumentation and automatic control area at the Autonomous University of Querétaro, Electronics Engineer by...
Ph.D. in Science and Technology in Mechatronics awarded by the Inter-institutional Postgraduate in Science and Technology at CIDESI, Master of Science with an honorable mention in instrumentation and automatic control area at the Autonomous University of Querétaro, Electronics Engineer by the Technological Institute of Querétaro. He has a diploma in Industrial Automation from for Engineering and Industrial Development Center. He has twenty-five experience years in research and technological development in instrumentation, automatic control, and electronics area. He has collaborated in at least twelve technology transfer and applied research projects in electronic design, energy optimization processes, and testbeds for solar energy systems. He has two patents, fifteen publications in indexed journals, two book chapters, and participation in two international congresses. Currently, He is Principal Researcher in the strategic technologies and postgraduate department in the Engineering and Industrial Development Center and National Researcher level 1 from 2020 to 2024.
| Nombre | GUILLERMO RONQUILLO LOMELI |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | INGENIERÍA |
| Disciplina | INGENIERÍA ELECTRÓNICA |
| Especialidad | OTRAS |
| CVU | 285361 |
| Institución | |
|---|---|
| Dependencia | POSGRADO INTERINSTITUCIONAL EN CIENCIA Y TECNOLOGIA |
| Entidad | QUERETARO |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2025 |
| Fin: 31/12/2029 |
Últimas publicaciones Scopus
- 2025
- Effect of humidity incorporation on the development of a ground enhancement material Scientific Reports · Vol. 15 Article
- 2024
- A machine learning-based approach for flames classification in industrial Heavy Oil-Fire Boilers Expert Systems with Applications · Vol. 238 Article
- An alternative methodology to evaluate sites using climatology criteria for hosting wind, solar, and hybrid plants Energy Sources Part A Recovery Utilization and Environmental Effects · Vol. 46 Article
- Novel Neural Networks for Camera Calibration in Underwater Environments IEEE Access · Vol. 12 Article
- 2022
- Determination of TTT Diagrams of Ni-Al Binary Using Neural Networks Materials · Vol. 15 Article
