معرفی
Edriss S. Titi is a Professor in the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge. His research focuses on nonlinear dynamical systems, fluid dynamics, and mathematical physics, with particular emphasis on geophysical fluid dynamics, partial differential equations, and data assimilation. Titi's work addresses fundamental questions in ocean and atmospheric modeling, turbulence, and climate systems. He has contributed extensively to the mathematical analysis of equations such as the Navier-Stokes, Euler, and primitive equations, exploring their well-posedness, regularity, and numerical treatment.
His recent research includes studies on the hydrostatic approximation limit, energy conservation in fluid flows, and the application of machine learning to data assimilation in chaotic systems. Titi collaborates with international teams to develop advanced models for climate prediction and ocean dynamics, incorporating eddy parametrization and multiscale analysis techniques.
Key areas of focus include:
- Global well-posedness of geophysical fluid models
- Non-uniqueness and admissibility of weak solutions
- Machine learning-enhanced data assimilation
- Mathematical analysis of turbulence and boundary layers
