CDUT has secured its third consecutive national championship at the 19th CIMC “Siemens Cup” China Intelligent Manufacturing Challenge, held in Taiyuan, Shanxi Province, from August 11 to 15. The event, overseen by the Ministry of Education, drew 895 teams from 371 universities across China for five days of intense competition. Three teams from the College of Nuclear Technology and Automation Engineering of CDUT achieved outstanding results.
In the Discrete Industry Automation (Logic Algorithm) category, CDUT claimed first place nationwide, winning the Special Prize and successfully defending our title for the third year in a row. The victory underscored the team’s continued technical leadership and collaborative strength. In the Process Industry Automation and Discrete Industry Motion Control categories, CDUT teams each won Second Prizes, demonstrating their competitive edge across diverse fields of engineering practice.
A further highlight came from student Li Miaoyan. With her outstanding professional competence and innovative ability, Li was named one of the “Best Female Engineers (seven nationwide at total).” Her award, the first of its kind for CDUT, recognized her professional excellence and innovative spirit, while showcasing the confidence and determination of CDUT’s women students. This marked CDUT’s first-ever win in this category.
Group Photo of Finalists
Group Photo of the Champion Team
Trophies of the Challenge
“Siemens Cup” is a top-tier national competition, ranked as a Class A event in the Higher Education Society’s table of academic competitions. It is regarded as the most prestigious contest in the field of intelligent manufacturing in China. The 2025 edition set new records for participation, with over 10,737 teams and 36,000 students and faculty members from 968 universities, including Zhejiang University, Huazhong University of Science and Technology, and Xiamen University.
In the preliminary stage, CDUT’s Campus-Hub Learning Center organized 15 teams and 39 students to compete in four categories: Process Industry Automation, Discrete Industry Automation (Logic Algorithm), Discrete Industry Motion Control, and Industrial Embedded Systems Development (Trial). The teams performed impressively, winning 2 Special Prizes, 7 First Prizes, 4 Second Prizes, and 2 Third Prizes.
Group photo of CDUT Representative Teams in the Preliminaries
Since 2016, the Office of Academic Affairs and the the College of Nuclear Technology and Automation Engineering have consistently supported participation in the competition, helping foster a culture that integrates competition with learning and practical training.
Table of Awards from This Year’s Challenge
