Fabian N. Murrieta Rico

Fabian N. Murrieta-Rico received B.Eng. and M.Eng. degrees from Instituto Tecnológico de Mexicali (ITM) in 2004 and 2013 respectively. In 2017, he received his PhD in Materials Physics at Centro de Investigación Científica y Educación Superior de Ensenada (CICESE). He has worked as an automation engineer, systems designer, as a university professor, and as postdoctoral researcher at Facultad de Ingeniería, Arquitectura y Diseño from Universidad Autónoma de Baja California (UABC) and at the Centro de Nanociencias y Nanotecnología from Universidad Nacional Autónoma de México (CNyN-UNAM), currently he works as professor at the Universidad Politécnica de Baja California. His research has been published in different journals and presented at international conferences since 2009. He has served as reviewer for different journals, some of them include IEEE Transactions on Industrial Electronics, IEEE Transactions on Instrumentation, Measurement and Sensor Review. His research interests are focused on the field of time and frequency metrology, the design of wireless sensor networks, automated systems and highly sensitive chemical detectors.

Publications

Exploring the Challenges and Applications of Generative AI on Engineering Education in Mexico
Jesús Heriberto Orduño-Osuna, Elia Ivette Cota-Rivera, María E. Raygoza-L., Roxana Jimenez-Sanchez, Guillermo M. Limón-Molina, Miguel E. Bravo-Zanoguera, Abelardo Mercado-Herrera, Fabian N. Murrieta Rico. © 2024. 28 pages.
This chapter explores the potential and challenges of implementing generative artificial intelligence (AI) in engineering education in Mexico. It highlights the relevance of...
Towards a Sustainable Supply Chain Management: Strategies and Challenges in the Era of Industry 4.0
Roxana Jiménez-Sánchez, María E. Raygoza-L, J. Heriberto Orduño-Osuna, Guillermo M. Limón-Molina, Fabian N. Murrieta-Rico. © 2024. 17 pages.
This chapter is focused on the interest that the industry has placed in recent years regarding the environmental repercussions derived from the various industrial processes in...
Machine Learning and Emotions: The Hidden Language in Your Voice
Jesús Heriberto Orduño-Osuna, María E. Raygoza L., Roxana Jiménez-Sánchez, Guillermo M. Limón-Molina, Fabian N. Murrieta-Rico. © 2024. 23 pages.
This chapter immerses the reader in the world of emotion recognition, revealing its revolutionary potential through machine learning techniques. From affective computing to...
Full-State Control of Rotary Pendulum Using LQR Controller
Horacio Alain Millan-Guerrero, Jose Antonio Nuñez-Lopez, Fabian N. Murrieta-Rico, Lars Lindner, Oleg Sergiyenko, Julio C Rodríguez-Quiñonez, Wendy Flores-Fuentes. © 2022. 43 pages.
In this chapter, the authors design, simulate, and implement an optimal controller for a rotary pendulum while addressing real-world phenomena. The controller, called...