Javier Gonzalez Fontanet
Instructor
๐๐ฎ๐๐ถ๐ฒ๐ฟ ๐๐ผ๐ป๐๐ฎ๐น๐ฒ๐ ๐๐ผ๐ป๐๐ฎ๐ป๐ฒ๐, ๐ฃ๐ต.๐.
๐๐ป๐๐๐ฟ๐๐ฐ๐๐ผ๐ฟ ๐ผ๐ณ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ - Electrical Energy, Mechatronics
Dr. Javier Gonzรกlez Fontanet is an Instructor in the Department of Industrial and Engineering Technology at Southeastern Louisiana University. He earned his Ph.D. in Electronic Engineering from the Universidad Tรฉcnica Federico Santa Marรญa (Chile), where his research at the Advanced Center for Electrical and Electronic Engineering (AC3E) focused on mathematical modeling of the vocal folds for the detection of voice-related disorders. Originally from Santiago de Cuba, Cuba, Dr. Gonzรกlez Fontanet combines more than a decade of university-level teaching with extensive industry experience in mechatronics, automation, and maintenance engineering.
His professional background includes leadership roles in the maintenance and optimization of CNC machinery, the design and deployment of SCADA and PLC-based automation systems, and the development of embedded electronic control boards for industrial applications. In academia, he has taught courses such as Electrical Circuits, Electronics, Industrial Electrical Machinery, and Control Theory, while also mentoring students in Senior Design Projects.
Dr. Gonzรกlez Fontanetโs research interests include system identification and modeling, control engineering, biomedical signal analysis, embedded systems, and intelligent automation. His work bridges theoretical methods with practical applications, contributing to innovation in both engineering education and industrial practice.
Area of Expertise
Dr. Gonzรกlez Fontanetโs expertise spans engineering education, research, and industry. He has extensive teaching experience in Electrical Circuits, Electronics, Industrial Electrical Machinery, and Control Theory, integrating applied learning with strong theoretical foundations. His doctoral research focused on biomedical signal analysis, particularly mathematical modeling of the vocal folds for voice-disorder detection. Complementing his academic background, he brings solid industrial experience in mechatronics, automation, and maintenance engineering, including CNC systems, PLC-based automation, and embedded electronic control solutions.