On August 21, 2025, Professor Wang Weimin, Dean of the School of Mechanical and Electrical Engineering at Beijing University of Chemical Technology, invited Professor Hamid Reza Karimi from Politecnico di Milano, Academician of the European Academy of Sciences, for a three-day academic exchange event. The academic exchange meeting was attended by Academician Gao Jinji of the Chinese Academy of Engineering and Professor at Beijing University of Chemical Technology, along with the entire leadership team of the School of Mechanical and Electrical Engineering. The meeting was chaired by Professor Wang Weimin.
Professor Wang Weimin first extended a warm welcome to Academician Hamid and provided an overview of the School's basic information and research directions. He expressed hope for future academic collaboration between experts from Academician Hamid's team and the School of Mechanical and Electrical Engineering.
Academician Hamid's presentation focused on the transformative role of deep learning technologies in the fault diagnosis of rotating machinery. He elaborated on methods using neural network technologies to identify fault patterns from time-series sensor data, such as vibration and acoustics, and proposed strategies for applying data augmentation and transfer learning to artificial intelligence prediction and intelligent soft sensing. The report provided a platform for faculty and students to engage with international academic frontiers and offered valuable insights into the integration of artificial intelligence and industrial technologies.
Academician Gao Jinji presented Academician Hamid Reza Karimi with his book Artificial Self-Recovery and Autonomous Health of Machine. This book presentation, centered around an authoritative work in the field of industrial intelligence, deepened the exchange and mutual learning between the School and international scholars, helping to build new bridges for international academic collaboration and promoting in-depth exploration of cutting-edge industrial engineering technologies.
Faculty and students engaged in extensive discussions with Professor Hamid on topics such as engineering immunity methods, rotor dynamics, and the application of artificial intelligence technologies in industry. These exchanges significantly enhanced the students' international communication skills and global perspectives.
Following the academic session, Dean Wang Weimin introduced Professor Hamid to the School's development overview and main research directions. In-depth discussions were held on establishing joint laboratories, co-hosting international conferences, and talent cultivation. Dean Wang also accompanied Academician Hamid on a visit to the National Key Laboratory of High-end Compressor and System Technology, providing a comprehensive introduction to the laboratory's development history, research features, functional characteristics, and practical engineering applications.
