Dr. Yingjie Hu | Ocean Engineering | Best Researcher Award
Postdoctoral fellow at Tsinghua University | China
Yingjie Hu is a postdoctoral fellow at Tsinghua University whose research centers on nonlinear water wave dynamics, ocean engineering, and deep-sea mining. His work integrates computational modeling, numerical simulations, and experimental validation to advance the understanding of internal solitary waves and their effects on marine systems. Through national and international collaborations, he has contributed significantly to the development of high-precision models for wave interactions and the dynamic responses of offshore engineering structures. His leadership in projects funded by prestigious research foundations demonstrates both scientific excellence and practical impact in marine science and engineering.
Professional Profile
Education
Yingjie Hu has cultivated a strong academic foundation in ocean engineering and applied mechanics. His education emphasized advanced hydrodynamics, computational fluid dynamics, and nonlinear wave theory, which provided the tools necessary to address complex challenges in water wave modeling and offshore structures. His rigorous training in mathematical modeling and simulation techniques allowed him to specialize in the study of wave propagation and nonlinear interactions in stratified fluids. This robust academic preparation equipped him with the interdisciplinary expertise required to contribute meaningfully to marine environmental safety, resource development, and offshore engineering innovations.
Experience
Throughout his career, Hu has served as both project leader and contributing researcher on several high-profile national research initiatives. He presided over a National Natural Science Foundation of China (NSFC) Youth Fund project and played integral roles in the National Key R&D Program, NSFC General Program, and Joint Fund projects. His expertise has been recognized through support from the National Postdoctoral Researchers Support Program. In these roles, he developed computational methods, coordinated large-scale simulations, and validated models through collaboration with experimentalists. His consultancy and review work for scientific foundations and peer-reviewed journals further demonstrate his standing in the professional research community.
Research Focus
Hu’s research primarily explores nonlinear water wave dynamics, with a focus on internal solitary waves, their propagation mechanisms, and multi-wave interactions. He has proposed advanced computational frameworks that account for fully nonlinear interfaces and free-surface conditions, establishing robust multi-domain boundary element numerical models. His studies extend into practical applications, particularly the influence of internal waves on marine risers in deep-sea mining. By coupling theoretical models with engineering scenarios, he enables predictive analysis of dynamic responses under extreme oceanic conditions. His work also integrates artificial intelligence with computational fluid dynamics, advancing the future of high-fidelity ocean simulations.
Publication Top Note
Title: Experimental study on influencing factors of force change of slender submerged body under internal solitary wave
Authors: Ma XY, Zou L*, Hu YJ, Yu ZB, Gao YL, Wang XY
Summary: This study experimentally analyzes how internal solitary waves affect forces on slender submerged bodies, highlighting wave amplitude, geometry, and stratification impacts for safer offshore engineering design.
Conclusion
Yingjie Hu exemplifies the qualities of an outstanding researcher whose work advances both the science and engineering of ocean systems. His contributions span computational innovation, experimental validation, and applied engineering solutions, making his research highly impactful for environmental safety and offshore development. Through leadership in funded projects, active roles in peer-reviewed publications, and membership in professional societies, he has established himself as a rising leader in nonlinear wave dynamics and ocean engineering. His integration of artificial intelligence with fluid dynamics further positions him at the forefront of technological innovation in marine sciences. Given his remarkable achievements and future potential, he is a strong candidate for recognition through the Best Researcher Award.