My research and academic interests focus on applied data science, machine learning, robotics, computer vision, instrumentation, control, and industrial automation. I am particularly interested in the integration of sensing, perception, and decision-making methods for intelligent engineering systems, including visual servoing, robotic manipulation, machine vision, and data-driven analysis for electrical and industrial applications. My academic work also involves computational methods, engineering education, and the development of practical learning experiences in automation, robotics, and electrical engineering.