معرفی
Jincheng Yang is an Assistant Professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University (JHU), part of the Whiting School of Engineering. He previously served as a member of the Institute for Advanced Study and a Dickson Instructor at the University of Chicago. Yang holds a PhD in Mathematics from the University of Texas at Austin (2022) and a BSc from Xi’an Jiaotong University (2017).
His research focuses on analysis, partial differential equations (PDEs), and fluid dynamics, particularly the incompressible Euler and Navier-Stokes equations. Key interests include regularity, stability, and solution uniqueness in fluid systems. Yang’s work also explores robust optimization and distributionally robust stochastic optimization, addressing decision-making under uncertainty.
Notable contributions include studies on vorticity trace estimates, energy dissipation in boundary layers, and layer separation in Navier-Stokes equations. His publications span high-impact journals like Archive for Rational Mechanics and Analysis and SIAM Journal on Mathematical Analysis.
Yang has presented at major conferences such as the AMS Spring Meetings and Informs Annual Conferences, and has organized workshops on fluid mechanics and PDEs. His teaching reflects expertise in applied mathematics and computational methods.
