2017.04 - 2021.06: Shanghai Jiao Tong University, Ph.D.
2010.09 - 2013.06: Southeast University, Master's Degree
2006.09 - 2010.06: Anhui University of Technology, Bachelor's Degree

2023.06 – Present: Shanghai Jiao Tong University, School of Mechanical Engineering, Assistant Researcher | Master's Supervisor
2021.06 – 2023.06: Shanghai Jiao Tong University, School of Mechanical Engineering, Postdoctoral Researcher
2013.07 – 2017.02: Dongfang Turbine Co., Ltd., R&D Center Gas Turbine Department, Gas Turbine Design Engineer

Combustion instability is a common challenge in the research, development, and operation phases of advanced gas turbines and aircraft engine combustors. This phenomenon couples multiple physical processes, including flame combustion, fluid flow, acoustic response, heat transfer, and structural vibration, making it a typical multidisciplinary and complex problem. Currently, elucidating thermoacoustic coupling mechanisms, constructing accurate predictive models, and developing stable control methods have become key research directions for both academia and industry. Driven by the national "Dual Carbon" strategy, the demand for large-scale hydrogen application is surging, making hydrogen-fueled gas turbine combustion technology a cutting-edge hotspot. Leveraging artificial intelligence to empower the innovative development of power and energy equipment, the integration of AI and gas turbine combustion offers novel solutions for mechanistic analysis, state prediction, and intelligent control. Focusing on gas turbine combustion systems, the main research directions are as follows:

Mechanisms, modeling, and control methods for thermoacoustic instability in gas turbines.
AI-driven pure hydrogen/hydrogen-blended combustion and nozzle design optimization for gas turbines.
AI-enabled dynamic control of gas turbine combustion processes.

We welcome interested undergraduate and graduate students to contact us for discussion and collaboration. We look forward to having you join our Laboratory!