Dr. Lei Song received the Ph.D. degree in thermal energy engineering from North China Electric Power University, Beijing, China. Now he is an associate professor at the Technology and Engineering Center for Space Utilization of the Chinese Academy of Science. His research field is anomaly detection, fault diagnosis and remaining useful life prediction of industrial equipment, as well as AI algorithms application for PHM of industrial facilities. He has authored over 30 publications in prestigious journals such as IEEE Transactions on instrumentation and Measurement, Neurocomputing, Applied Soft Computing and Measurement, among others. His team have been devoting to AI-empowered PHM in industrial safety monitoring and risk prevention and his studies have been recognized through various accolades, including the Second Prize at the 5th China Industrial Internet Competition, the Third Prize at the China Computer Association Science and Technology Progress Award, the Third Prize at the Shandong Province Machinery Industry Science and Technology Progress Award.