Jiali Ding

Papers

Total Citations

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About

Jiali Ding is a dedicated educator and researcher in control systems engineering and robotics education. Her work focuses on bridging the gap between theoretical control concepts and practical, hands-on learning experiences. Her most cited paper, "Control System Teaching and Experiment Using LEGO MINDSTORMS NXT Robot" (2016, 11 citations), exemplifies this approach by integrating LEGO Mindstorms NXT with MATLAB/Simulink to create an accessible platform for teaching complex control theories. This innovative method allows students to build mobile robots and directly apply mathematical control principles, making abstract concepts tangible and engaging. Ding’s contributions are particularly valuable in an era where control system education often struggles with the mathematical rigor of the subject. By developing low-cost, interactive teaching tools, she has helped demystify control engineering for countless students. Her work not only enhances classroom learning but also inspires future engineers to explore robotics and automation. Through her research, Jiali Ding demonstrates a commitment to transforming engineering education, proving that effective teaching can be both rigorous and playful.