Dr. Javier Gonzalez Fontanet

Javier Gonzalez Fontanet

Instructor

Contact

(985) 549-3258

javier.gonzalezfontanet​@southeastern.edu

𝗝𝗮𝘃𝗶𝗲𝗿 𝗚𝗼𝗻𝘇𝗮𝗹𝗲𝘇 𝗙𝗼𝗻𝘁𝗮𝗻𝗲𝘁, 𝗣𝗵.𝗗.
𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗼𝗿 𝗼𝗳 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 - Electrical Energy, Mechatronics
Dr. Javier González 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 Técnica Federico Santa María (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. González 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. González Fontanet’s 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. González Fontanet’s 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.

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