2026 12th International Conference on Mechanical Engineering, Materials and Automation Technology

The 11th International Conference on Mechanical Engineering, Materials and Automation Technology (MMEAT 2025), hosted by Southern University of Science and Technology and co-organized by University of Shanghai for Science and Technology and Trinity Leeds University in the UK, was successfully held at Southern University of Science and Technology from June 23rd to 25th, 2025. This conference brought together experts and scholars from many renowned universities, research institutes and enterprises at home and abroad, and engaged in rich and in-depth academic exchanges on the cutting-edge science and applications in fields such as mechanical engineering, materials science and automation technology.

Opening Ceremony

The conference was grandly launched in a warm atmosphere. Professor Ma Yongsheng, a tenured professor at Southern University of Science and Technology, delivered a welcoming speech on behalf of the organizers, emphasizing the significant importance of this conference in promoting international academic exchanges and cooperation. Professor Lin Zhiyun, the dean of the School of Automation and Intelligent Manufacturing at Southern University of Science and Technology (a foreign academician of the Russian Academy of Engineering and a Fellow of IEEE/IET), was also present to witness this important moment.

Keynote Speech

This conference invited many renowned experts and scholars from home and abroad to deliver outstanding reports. In the morning, the main venue featured keynote speeches by Professor Ma Yongsheng, a tenured professor at Southern University of Science and Technology, Academician Chen Xiaoqi, the dean of the School of Intelligent Engineering at South China University of Technology (a fellow of the Royal Society of New Zealand, the New Zealand Academy of Engineering, the International Manufacturing Engineering Society, and the American Society of Mechanical Engineers), Professor Li Weidong, the dean of the School of Mechanical Engineering at University of Shanghai for Science and Technology (a specially-appointed professor of the Chang Jiang Scholars Program, a fellow of the Institution of Mechanical Engineers, and a fellow of the International Engineering and Technology Institute), Professor Yu Changbin, a chair professor at Shandong First Medical University (a fellow of the Australian Academy of Technology and Engineering), and Professor Qin Jiahu from the University of Science and Technology of China (a recipient of the National Science Fund for Distinguished Young Scholars), who shared their latest research progress and application achievements in the fields of mechanical engineering, materials, and automation technology.

Industrial artificial intelligence with deep data interoperability

Professor Ma Yongsheng's report focused on the challenges and applications of artificial intelligence in industrial engineering, emphasizing network-based resource collaboration and data correlation, exploring the deep interoperability between intelligent algorithms and systems, and looking forward to collaborative AI driving future technological and business transformation.

Al challenges and applications in Industry: From framework to deeper data ass-ciativity and interoperability

Intelligent robots drive advanced material processing

Professor Chen Xiaoci's presentation covered the development and driving forces of robotization in the manufacturing industry, as well as the advancements in perception, computing and control technologies. The key point was the integration of intelligent robots with the Internet of Things, big data, and artificial intelligence in the context of Industry 4.0, which promoted the application of complex material processing. The presentation also envisioned the significant role and development trends of embodied intelligent robots in the future manufacturing industry.

Intelligent Robots for Advanced Materials Processing

Human-machine collaboration drives the remanufacturing of scrapped electric vehicle batteries

The report presented by Director Li Weidong focused on dissecting key aspects, analyzing the application of human-machine collaboration in the disassembly of used electric vehicle lithium batteries, and introduced the EOL product modeling and collaborative learning technologies, thereby promoting the improvement of remanufacturing efficiency and intelligence.

End-of-Life Electric Vehicle Battery Remanufacturing Enabled byHuman-Robot collaboration

Intelligent automatic analysis technology for multi-omics data of mass spectrometry

Professor Yu Changbin's presentation introduced the complex process of mass spectrometry multi-omics data analysis, including diverse sample pre-treatment, high-precision instrument maintenance, and bioinformatics processing of high-dimensional noisy data. It also discussed the key challenges and solutions for achieving end-to-end automation, and promoted the development in fields such as environmental monitoring, clinical research, and food safety.

Intelligent and automated analysis technology for multi-omics mass spectrometry data

Autonomous navigation and control of mobile robots in complex environments

Professor Qin Jiahu presented in his report the research progress of the research group in the field of motion planning and control of mobile robots in recent years, as well as the achievements in practical applications such as autonomous unmanned aircraft racing.

Autonomous navigation and control of mobile robot in complex environment

The presentation session of the afternoon meeting was equally fascinating. Under the chairmanship of Associate Professor Wang Lili from Southern University of Science and Technology, Professors Chen Jian (a national young talent), Liu Wei, Lu Dong, and Associate Professor Ke Wende from Southern University of Science and Technology, as well as Assistant Professor Ren Jiangzhu from Chang'an University, all presented their respective research findings.

Visual-Based State Estimation and Control

Visual and Al technologies and their applications in the manufacturing field

Realities Blend: Exploring Al-Powered lmmersive Learning

Robotic HVOF Process Modeling: From In-Flight Particles to Coating Layers

During this oral presentation session, several experts and scholars from National University of Defense Technology, Harbin Institute of Technology (Shenzhen), Huaqiao University, Guizhou University, Shanghai Jiao Tong University, and Xi'an Polytechnic University delivered impressive academic presentations successively. The content of their speeches covered various fields, including the design of micro piezoelectric actuation rotating platform, high-speed control coprocessor for permanent magnet synchronous motor, performance evaluation of spiral texture grinding wheels fabricated by selective laser melting technology, improvement of conductivity and mechanical properties of copper-based composite materials through interface modification, filtration and simulation of particle aggregates in titanium boron composite materials, design and kinematic analysis of flexible-rigid hybrid grippers, and structural design of yarn tube grasping robot arm based on deformation mechanism principle. The participating scholars elaborated on their research innovations and experimental results in depth, demonstrating outstanding scientific research level and innovation ability, and injecting rich academic vitality and speculative sparks into this conference.

The successful holding of the 11th International Academic Conference on Mechanical Engineering, Materials and Automation Technology (MMEAT 2025) has provided a high-level platform for experts and scholars in the fields of mechanical engineering, materials science and automation technology to exchange ideas and collaborate. This has further promoted the innovation and application development of related technologies. The participants expressed their expectations for the next conference, hoping to continue strengthening academic communication and cooperation, and jointly promoting the development and progress of the industry.