Dr. Saeed Salehi

Biography

Saeed Salehi is an Associate Professor of Fluid Mechanics at Linköping University specializing in advanced Computational Fluid Dynamics (CFD) and data-driven AI methods. His research focuses on the study of complex fluid flows, leveraging high-fidelity simulations and integrating machine learning techniques to develop efficient and reliable tools for simulation and control. With a PhD in Mechanical Engineering from the University of Tehran, he has made significant contributions to uncertainty quantification in turbulent flows and enhanced data-driven modeling methods including reduced-order modeling through proper orthogonal decomposition and dynamic mode decomposition. His postdoctoral work at Chalmers University of Technology involved the development of numerical methods for transient hydraulic turbine simulations. His current research explores flow control using Deep Reinforcement Learning and multi-fidelity physics-informed neural networks. Salehi is dedicated to advancing the field of CFD and addressing fundamental problems in fluid dynamics, particularly in the context of turbomachinery. He is keen on supervising master's thesis projects in related areas and actively engages in open-source development, particularly with OpenFOAM.

Research Interests

Experience