Postdoc at Peking University, China.
Chao Jiang is an Assistant Professor at Southern University of Science and Technology, specializing in fluid mechanics, turbulence modeling, and AI-enhanced scientific computations. He has made pioneering contributions to aerodynamic bionics, including discovering wake anomalies in bluff bodies and the phase transition in wavy cylinder dynamics. His research integrates machine learning with physics to advance turbulence modeling and computational methods. With expertise in symmetry-based AI, he has revolutionized scalar and tensor modeling in neural networks. Chao holds a Ph.D. in Engineering Mechanics from Harbin Institute of Technology and has served as an AI Engineer at TenFong Central Research Institute.
Profile
Orcid
🎓 Education
B.Sc. in Civil Engineering (2010-2014) Harbin Institute of Technology. M.Sc. in Engineering Mechanics (2014-2017) Harbin Institute of Technology. Ph.D. in Engineering Mechanics (2017-2023) Harbin Institute of Technology | Research: Turbulence modeling and AI-enhanced flow control
🧑🏫 Experience
Assistant Professor Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology. Conducted advanced research in aerodynamic bionics and flow control. AI Engineer TenFong Central Research Institute. Applied AI to scientific computation and engineering systems.
🏆 Awards and Honors
First discovery of wake anomalies in bio-inspired bluff bodies. Reported the phase transition phenomenon in wavy cylinder dynamics. Developed symmetry-based deep learning for tensor modeling. Achieved breakthroughs in turbulence modeling using AI and physics integration.
🔬 Research Focus
Data-driven turbulence modeling and AI-enhanced computations. Mathematics and physics of machine learning with symmetry-based AI. Aerodynamic bionics: wake dynamics and flow control mechanisms. Multiscale computational modeling integrating data and physics paradigms.
🌟 Conclusion
Chao Jiang is a distinguished candidate for the Best Researcher Award due to his innovative achievements in turbulence modeling, AI-driven scientific computation, and aerodynamic bionics. His groundbreaking discoveries and high-impact publications establish him as a leader in his field. By extending his global collaborations and emphasizing real-world applications, Chao could elevate his already impressive academic and professional profile to even greater heights.
Publication
1. Velocity Phase-Transitions in the Wake of a Wavy Cylinder at Low Reynolds Numbers
2. An Interpretable Framework of Data-Driven Turbulence Modeling Using Deep Neural Networks
- Journal: Physics of Fluids
- Date: May 2021
- DOI: 10.1063/5.0048909
- Authors: Chao Jiang, Ricardo Vinuesa, Ruilin Chen, Junyi Mi, Shujin Laima, Hui Li
3. A Novel Algebraic Stress Model with Machine-Learning-Assisted Parameterization
- Journal: Energies
- Date: January 2020
- DOI: 10.3390/en13010258
- Authors: Chao Jiang, Junyi Mi, Shujin Laima, Hui Li
4. A Numerical Investigation of Reynolds Number Sensitivity of Flow Characteristics Around a Twin-Box Girder
- Journal: Journal of Wind Engineering and Industrial Aerodynamics
- Date: January 2018
- DOI: 10.1016/j.jweia.2017.11.016
- Authors: Chao Jiang