Dr. Rihem Farkh’s research and academic interests center on advanced control systems, artificial intelligence, and robotics. Her work focuses on PID control, robust control for uncertain time-delay systems, and optimization techniques like genetic algorithms and PSO. She has a strong emphasis on machine learning, deep learning, computer vision, and embedded AI, utilizing platforms such as Nvidia, Raspberry Pi, and STM32. Her recent projects include developing energy assistant bots, intelligent audio fault detection for vehicles, anomaly detection in manufacturing using autoencoders, and embedded AI for mobile robots. Academically, she is passionate about teaching AI, machine learning, data science, and control systems, with a track record of supervising PhD theses and leading courses in electronics, logic design, and microcontroller applications. Her publications span high-impact journals and conferences, reflecting her contributions to control theory, robotics, and generative AI