I earned my Ph.D. in 2015 from Politecnico di Milano, Italy, with dissertation titled "Development of Prognostics and Health Management (PHM) Methods for Engineering Systems Operating in Evolving Environments". Now I’m serving as an associate research fellow in Hangzhou International Innovation Institute of Beihang University. As a principal investigator or co-investigator, I have led 18 research projects, including those funded by National Natural Science Foundation of China, "Young Elite Scientists Sponsorship Program" by the China Association for Science and Technology, and Science and Technology Innovation Project of the Central Goverment's Science and Technology Commission. My contributions to the field have been recognized with several awards, including a second-class prize from the Chinese Society of Aeronautics and Astronautics and two second-class prizes for Scientific and Technological Progress. I have also a published over 30 papers as first author or corresponding author in renowned international journals and conferences, with an H-index of 16. I hold 9 national invention patents and have supervised 3 postdoctoral researchers and co-supervised 2 doctoral students.

My research interests include the development of intelligent support systems for complex aviation systems, PHM framework design, hybrid diagnostics/prognostics approaches, and the application of deep learning, multimodal large models and smart optimization algorithms for PHM in engineering systems.

ResearchGate: http://www.researchgate.net/profile/Yang-Hu-60?ev=hdr_xprf

Google Scholar: http://scholar.google.com/citations?user=t0t8_BkAAAAJ&hl=en

Our research group is continuously seeking highly motivated Master students, PhD candidates, and postdoctoral researchers who are passionate about tackling real-world challenges at the intersection of artificial intelligence and complex engineering systems.

If you are interested in areas such as PHM, intelligent maintenance, industrial big data, or modeling and simulation of complex systems—and eager to apply cutting-edge AI algorithms (e.g., multimodal large models, graph neural networks, reinforcement learning) to solve open problems in aerospace, transportation, and advanced manufacturing—we warmly welcome your application. For detailed information regarding admission procedures, degree programs, and scholarship opportunities (including CSC scholarships), please visit: http://is.dienj.com/en/