Rafael Mendes Faria holds a degree in Electrical Engineering from the Northwest Minas Gerais College (FINOM, 2013), a master’s degree in Modeling and Optimization from the Federal University of Goiás (UFG, 2017), and a PhD in Mechatronic Systems with an emphasis on Biomedical Engineering from the University of Brasília (UnB, 2024). He is a full-time professor at the Federal Institute of Triângulo Mineiro (IFTM), teaching courses in Electrical Engineering such as Electrical Circuits, Computational Mathematical Methods, Electromagnetism, Control Systems, Electrical Machines, and Power Systems Analysis. He also collaborates as a researcher at the University of Brasília, where his work focuses on mathematical and computational modeling applied to radiofrequency ablation. His research contributes to the development of technologies for minimally invasive treatments, such as hepatocellular carcinoma and cardiac ablations. Additionally, he has extensive experience applying evolutionary algorithms, such as Particle Swarm Optimization and Grey Wolf Optimizer, to optimize dynamic systems. His expertise spans Automation, Electrical Machines, Power Systems, and Biomedical Engineering, aiming to advance technological innovations and improve medical procedures. He also serves as a reviewer for the IEEE Latin America Transactions.
Rafael Mendes Faria holds a degree in Electrical Engineering from the Northwest Minas Gerais College (FINOM, 2013), a master’s degree in Modeling and Optimization from the Federal University of Goiás (UFG, 2017), and a PhD in Mechatronic Systems with an emphasis on Biomedical Engineering from the University of Brasília (UnB, 2024). He is a full-time professor at the Federal Institute of Triângulo Mineiro (IFTM), teaching courses in Electrical Engineering such as Electrical Circuits, Computational Mathematical Methods, Electromagnetism, Control Systems, Electrical Machines, and Power Systems Analysis. He also collaborates as a researcher at the University of Brasília, where his work focuses on mathematical and computational modeling applied to radiofrequency ablation. His research contributes to the development of technologies for minimally invasive treatments, such as hepatocellular carcinoma and cardiac ablations. Additionally, he has extensive experience applying evolutionary algorithms, such as Particle Swarm Optimization and Grey Wolf Optimizer, to optimize dynamic systems. His expertise spans Automation, Electrical Machines, Power Systems, and Biomedical Engineering, aiming to advance technological innovations and improve medical procedures. He also serves as a reviewer for the IEEE Latin America Transactions.