School of Intelligent Manufacturing and Future Technologies is established around the two disciplines: Mechanical Engineering, Control Science and Engineering. It focuses on core research areas such as intelligent design, intelligent manufacturing, intelligent operations and maintenance, and is committed to cultivating engineering technology talents with innovative spirit and practical capabilities. It relies on a strong faculty and advanced teaching facilities to provide students with a learning environment that combines theories with practices.
The school will offer majors in intelligent manufacturing engineering and robotic engineering. Our teaching philosophy is to integrate traditional mechanical engineering with modern intelligent technologies to meet the needs of the Industry 4.0 era, while exploring future Industry 5.0 technologies. The school boasts first-class laboratories and research centers, including Key Laboratory of Future Intelligent Manufacturing Technologies for High-end Equipment, Intelligent Industrial Robotics Research Center, and Intelligent Die and Mould Manufacturing Research Center, providing students with abundant industrial practice opportunities.
The school faculty members are recruited internationally and top researchers in their fields. They possess profound academic backgrounds and rich practical experience in the fields of mechanical engineering, intelligent manufacturing, and intelligent systems. The faculty members actively participate in international academic exchanges, continuously updating teaching contents to ensure that students are exposed to the latest industry trends and technological developments.
In addition to academic activities, the school also focuses on fostering students' innovative abilities and practical skills. We encourage students to engage in scientific research projects, scientific competitions, and internships to enhance their practical capabilities and their abilities to solve complex engineering problems. The school has established cooperative relationships with many well-known enterprises, providing students with good opportunities for internships and employments.
Positioning:
School of Intelligent Manufacturing and Future Technologies is established to meet the demands of future technological advancements and industrial transformations. The school aims to cultivate students in scientific and technological innovation with forward-looking insights who can lead future developments.
Educational Innovation: As a pilot for educational reform, the school explores new talent cultivation models, such as integrated undergraduate-graduate training including Bachelor’s, Master’s and PhD degrees, project-driven learning, and the integration of industry, academia, and research.
Technology Frontiers: Keeping pace with technology development trends, the school focuses on cutting-edge, revolutionary, and disruptive technologies expected to emerge in the next 10-15 years, fostering students' in-depth understanding and application capabilities in these fields.
Industry-Education Integration: The school collaborates deeply with industrial enterprises, incorporating real-world needs and cutting-edge projects into the teaching process to enhance students' practical experience and industry awareness.
International Perspectives: Encouraging international exchanges and cooperation, the school cultivates students' global competitiveness and cross-cultural communication skills.
Quality Assurance: A strict quality assurance system is established to ensure that teaching contents and training processes meet high academic and industry standards.
The developments of School of Intelligent Manufacturing and Future Technologies are of great significance not only to the personal growth and career development of students but also to the advancement of national science and technology and the upgrading of industries. Through the efforts of the School of Intelligent Manufacturing and Future Technologies, more innovative achievements and leading talents in the fields of future science and technology can be anticipated