Professor, Jiangsu University of Technology, China
Ding Li is an Associate Professor at the College of Mechanical Engineering, Jiangsu University of Technology. With a robust academic background and extensive research experience, he specializes in mechatronic engineering, particularly focusing on robotic systems and control dynamics.
Profile
Scopus
🎓 Education
Ding Li completed his educational journey with a Ph.D. in Mechatronic Engineering from Nanjing University of Aeronautics and Astronautics (2013-2016). Prior to this, he earned a Master’s in Mechanical Engineering from Anhui University of Science and Technology (2011-2013) and a Bachelor’s in Mechanical Manufacturing and Automation from Jiangsu University of Technology (2007-2011).
đź’Ľ Experience
Ding has held various academic positions, including:
- Associate Professor (June 2019 – Present) at Jiangsu University of Technology
- Associate Professor (November 2021 – August 2022) at the National Natural Science Foundation of China
- Lecturer (October 2016 – May 2019) at Jiangsu University of Technology
- Lecturer (March 2018 – March 2019) at Hong Kong Polytechnic University
🔬 Research Interests
Ding’s research interests encompass the dynamics and control of robotic systems, particularly in areas such as cable-driven manipulators, intelligent operating flying robots, and hydraulic systems. His work aims to enhance automation and efficiency in various engineering applications.
🏆 Awards
Ding Li has received several prestigious accolades, including:
- First Prize for Science and Technology Progress from the China Mechanical Engineering Society (3rd class, 2022)
- Outstanding Youth Key Teacher Award from Jiangsu University’s “Blue Project” (2022)
- Changzhou Natural Science Excellence Award (2nd prize, 2019)
đź“š Publications Top Notes
Ding Li has contributed significantly to academic literature, with notable publications including:
Optimal Joint Space Control of a Cable-Driven Aerial Manipulator (Computer Modeling in Engineering & Sciences, 2023)
Observer-Based Control for a Cable-Driven Aerial Manipulator under Lumped Disturbances (CMES – Computer Modeling in Engineering & Sciences, 2023)
Adaptive Robust Control via a Nonlinear Disturbance Observer for Cable-driven Aerial Manipulators (International Journal of Control, Automation and Systems, 2023)