Academic Exchange

The 'SYSU Faculty Voices' column features an exclusive interview with Prof. Jianshe Feng of SYSU Shenzhen Campus — tracing the journey of a scholar who walked back from the industrial front lines to the lecture hall, and how his philosophy of teaching his students to fish led a joint undergraduate-graduate-doctoral team to claim the global championship of the PHM Data Challenge, while cultivating next-generation engineering talent.

Prof. Jianshe Feng has been officially appointed as a Working Group Officer of the IEEE Computer Society Smart Manufacturing Standards Committee, with a term running from January 2025 to December 2027, marking an important milestone for the laboratory in the field of intelligent manufacturing standardization.

AI Cube Laboratory PhD student Qi Fanyu participated in the 5th International Conference on Digital Twins (DigiTwin 2025), delivering an academic presentation in the "Digital Experiment, Testing and Verification" sub-forum, showcasing the laboratory's research progress in intelligent fault diagnosis.

Professor Feng Jianshe 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, delivering a sub-forum academic presentation and conducting in-depth exchanges with experts from renowned universities such as Tsinghua University, Peking University, and Fudan University.

Professor Feng Jianshe was invited to conduct specialized teaching at Xiamen University's Wiener Manufacturing Summer School, a top-tier academic event in the manufacturing field that gathers renowned scholars from home and abroad, providing a high-end platform for manufacturing talent cultivation.

Professor Feng Jianshe, head of the Advanced Manufacturing Intelligence Laboratory, conducted a specialized workshop on career analysis and resume writing for the graduating class of 2026, providing professional career guidance based on the laboratory's research strengths in industrial artificial intelligence.

Professor Feng Jianshe was invited to conduct specialized training on industrial artificial intelligence for the Guangdong Province Industry and Information Technology Department, contributing professional expertise to Guangdong Province's new quality productive forces development.

e-works Digital Enterprise Network sat down with Prof. Jianshe Feng for an in-depth interview on why predictive maintenance is so difficult to scale beyond the pilot stage. He proposes a systematic industrial intelligence methodology to escape the 'pilot trap', covering data collection strategy, model development workflow, and the critical factors for integrating PdM into enterprise business systems.

Associate Professor Feng Jianshe delivered an in-depth lecture on employment market dynamics and personal job search strategies for undergraduate students of grades 21 and 22, helping them stand out in the competitive job market.