School of Engineering
Showing 1-20 of 39 Results
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Lin Fu
Postdoctoral Research Fellow, Mechanical Engineering
Current Research and Scholarly InterestsHypersonic transitional flows, turbulence, DNS, WMLES, high-order numerical scheme for conservation laws, Interface tracking method for multi-phase flow, Smoothed-particle hydrodynamics (SPH) method, Partitioning and domain decomposition methods, Unstructured mesh generation.
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Tatsuki Hashimoto
Postdoctoral Research Fellow, Mechanical Engineering
BioResearch Fellow DC1, Japan Society for the Promotion of Science, 2014-2017
Postdoctoral Fellow, Yukawa Institute for Theoretical Physics, Kyoto University, 2018-2020 -
Adrian Lozano Duran
Postdoctoral Research Fellow, Mechanical Engineering
BioDr. Adrian Lozano-Duran received his PhD from the Technical University of Madrid in 2015 at the Computational Fluid Mechanics Lab. headed by Professor Jiménez. His main research has focused on Computational Fluid Mechanics and the fundamental physics of wall-bounded turbulence. Currently, he is a Postdoctoral Fellow at the Center for Turbulence Research at Stanford University working on large eddy simulation and wall-modeling.
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Seyedshahabaddin Mirjalili
Postdoctoral Research Fellow, Mechanical Engineering
Current Research and Scholarly InterestsIn a general sense, I am interested in fluid mechanics problems involving multiple phases, multiple scales and interaction of multiple physical phenomena. To tackle such problems, I work on developing robust and efficient numerical methodologies with a focus on modularity, adaptability and parallel scalability. Additionally, by leveraging the separation of scales involved in many practical problems, I seek to provide/employ subgrid-scale models, asymptotic methods and machine learning techniques to reduce the cost of direct numerical simulations in laminar and turbulent flows. Topics of current interest to me are:
- Two-phase flows (phase field models, atomization, impact events, thin films, turbulent breaking waves, subgrid-scale modeling, etc.)
- Electrokinetic flows (AC electrokinetics, DBD plasmas, etc.)
- Applied math (asymptotic methods, computational geometry, etc.)
- Machine learning and data science
- High performance computing
