Professor Feng Jianshe Attends and Presents at 2025 Academic Annual Conference of CMES Industrial Big Data and Intelligent Systems Branch

On August 3rd, Professor Feng Jianshe, head of the Advanced Manufacturing Intelligence Laboratory, was invited to attend the 2025 Academic Annual Conference of the CMES Industrial Big Data and Intelligent Systems Branch and the 8th Big Data-Driven Smart Manufacturing Academic Conference, serving as a sub-forum presentation expert. This annual conference is a top-tier academic event in the field of industrial big data and smart manufacturing, gathering renowned experts and scholars from across the country.

Conference Background and Scale

The 2025 Academic Annual Conference of the CMES Industrial Big Data and Intelligent Systems Branch and the 8th Big Data-Driven Smart Manufacturing Academic Conference is one of the most influential academic conferences in the domestic industrial big data and smart manufacturing field. The conference is organized by the Chinese Mechanical Engineering Society, aiming to promote the development of industrial big data technology and advance smart manufacturing industry upgrades, providing a high-level academic exchange platform for experts and scholars in related fields.

The conference covers multiple cutting-edge technical directions including industrial big data theory and methods, smart manufacturing systems, big data-driven manufacturing optimization, and industrial artificial intelligence applications. It attracted renowned experts and scholars from top domestic universities such as Tsinghua University, Peking University, Fudan University, Shanghai Jiao Tong University, and Xi’an Jiao Tong University, as well as technical experts from well-known enterprises such as Huawei, Alibaba, and Tencent.

Academic Presentation and Exchange

As a sub-forum presentation expert, Professor Feng conducted a thematic academic presentation at the conference, sharing the latest research achievements of the Advanced Manufacturing Intelligence Laboratory in the field of industrial big data and smart manufacturing. The presentation content covered cutting-edge technical directions such as applications of multimodal time-series large models in industrial scenarios, innovations in industrial big data analysis methods, and optimization of smart manufacturing systems, receiving high attention and active discussion from participating experts and scholars.

During the conference, Professor Feng conducted in-depth academic exchanges with experts and scholars from top domestic universities such as Tsinghua University, Peking University, Fudan University, and Shanghai Jiao Tong University. These exchanges not only helped understand the latest research progress and technical development trends of various universities in the fields of industrial big data and smart manufacturing but also laid an important foundation for future cooperation in joint research and talent cultivation.

Expansion of Further Education Opportunities

It is particularly noteworthy that during the academic exchanges, multiple experts and scholars from renowned universities such as Tsinghua University, Peking University, and Fudan University expressed warm welcome for outstanding undergraduates from Sun Yat-sen University’s School of Advanced Manufacturing to continue their studies at their institutions. These experts and scholars highly praised the laboratory’s research level and talent cultivation quality, believing that students trained by the laboratory possess solid theoretical foundations and good research potential.

This exchange achievement provides valuable opportunities for further education for laboratory and school undergraduate students, significantly broadening students’ development paths. For undergraduates aspiring to continue their studies in related fields such as industrial big data, smart manufacturing, and industrial artificial intelligence, such opportunities are of great significance. Through recommendations and introductions from laboratory supervisors, outstanding undergraduates will have opportunities to enter top domestic universities for further study, receiving higher-level academic training and research guidance.

Enhancement of Academic Influence

Professor Feng’s active participation and excellent presentation as a sub-forum presentation expert at this high-level academic conference further enhanced the academic reputation and influence of the Advanced Manufacturing Intelligence Laboratory in the field of industrial big data and smart manufacturing. This not only helps the laboratory establish a broader cooperation network in academia but also creates favorable conditions for conducting more high-level cooperative research projects in the future.

This conference experience also provides an important learning model and development inspiration for laboratory students. Through their supervisor’s performance at high-level academic conferences, students can better understand frontier developments in the discipline, stimulate academic interest and research enthusiasm, and provide important references for their own academic development and career planning.

The successful participation in the CMES Industrial Big Data and Intelligent Systems Branch Academic Annual Conference marks further confirmation of the Advanced Manufacturing Intelligence Laboratory’s academic status in related fields, laying a more solid foundation for the laboratory’s future development and student cultivation.