Summary
Magdiel Juarez is a PhD-level researcher and educator from Oaxaca, Mexico with nine years of experience specializing in deep learning, computer vision, and robotics. He has hands-on experience integrating ROS, OpenCV, TensorFlow, C++, and Python in projects ranging from NAO humanoid robots to autonomous model cars and infrared-based pedestrian detection. As a lecturer he taught programming, algorithms, computer architecture, and linear algebra, bridging theoretical foundations with practical mechatronics and automation applications. His research interests include transfer learning, domain adaptation, incremental and multimodal learning, reflecting a focus on making vision models more adaptable in real-world robotic systems. Notably, he combines academic rigor with applied system integration, positioning him to translate research advances into deployable robotic perception solutions.
9 years of coding experience
Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering, Phd. Robotics, Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering, Phd. Robotics at Universidad Tecnológica de la Mixteca
Spanish, English