School of Engineering
Showing 1-39 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 -
Mathias Peirlinck
Postdoctoral Research Fellow, Mechanical Engineering
BioMy research focuses on the multiscale behavior of the human heart, bridging the cell, tissue and organ scale, where an improved understanding of the tissue's biophysical functioning is crucial for the choice for, and development of, efficient clinical treatment strategies focused on patient-specific pathophysiology. Using finite element analysis and machine learning techniques, I integrate information from various data sources (including a.o. histological characterization, experimental tissue testing and medical imaging techniques) into computer models that simulate the patient-specific biophysical behavior of the heart as accurately as possible. In addition to the diagnostic value of these models, the developed modeling technology also allows us to predict the acute and chronic effect of various treatment techniques, through e.g. drugs, surgery and/or medical equipment. Consequently, this research offers insights that will have an unmistakable impact on the personalized medicine of the future.
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Xian Shi
Postdoctoral Research Fellow, Mechanical Engineering
Current Research and Scholarly InterestsCombustion, Reacting Flow, Renewable Energy, High Performance Computing
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Fabio Stroppa
Postdoctoral Research Fellow, Mechanical Engineering
BioFabio Stroppa (Eng., PhD) received the B.S. and M.S. degrees in Computer Science Engineering from Polytechnic University of Bari, Bari, Italy, in 2011 and 2013, respectively, and the PhD in Perceptual Robotics from Scuola Superiore Sant’Anna, Pisa, Italy in 2018. He is currently a postdoc at CHARM Lab, Stanford University, California, USA. His publications and his main research interests deal with computer vision for control purposes of robotic devices, robotic-based neurorehabilitation, bioinformatics, virtual reality and artificial intelligence.
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Tiwei Wei
Graduate Visiting Researcher Student, Mechanical Engineering
Current Research and Scholarly InterestsRESEARCH EXPERTISE
♦ Package/Chip Level Thermal Management
Perform thermal and flow dynamics analysis for electronics cooling solutions;
BEOL/Thin film thermal modeling and analysis;
♦ MEMS-based Microfluidic Cooling Device Demonstration
Strong background in Microfluidic cooler design and fabrication using CAD design tools, CFD
modeling, and semiconductor processing or additive manufacturing.
♦ 3D Electronic Packaging Development
Thorough understanding of the Chip/Package Level and Wafer Level Processes development with 5
years of cleanroom experience: 3D system integration, embedded packaging.
♦ Topology optimization for advanced manifold flow delivery system
Perform code development for jet cooling manifold fluidic system
