Mazyar Dawoodian

Angestellt, Research Associate, Technische Universität Berlin

Fähigkeiten und Kenntnisse

Abaqus
Aerospace
C
Experimentation
ANSYS
C++
Applied Mathematics
Finite Element Analysis
CAD
Boundary Element Methods
Fluent
CATIA
Machine Learning
Fluid Dynamics
Cavitation
Fluid Mechanics
Marine Hydrodynamics
Nanotechnology
CFD
Fluid-Structure Interaction
Mathematica
Characterization
Fortran
Mathematical Modeling
Numerical Analysis
Computational Fluid Dynamics (CFD)
Mathematics
Numerical Simulation
Gambit
Computer-Aided Design (CAD)
Matlab
Optimization
Heat Transfer
Engineering
Mechanical Engineering
Parallel Computing
LaTeX
Microsoft Office
Physics
Modeling
Programming
Multiphase Flow
Research
Science
Simulations
Simulink
Tecplot
Thermodynamics
Turbulence
Turbulence Modeling

Werdegang

Berufserfahrung von Mazyar Dawoodian

  • Bis heute 9 Monate, seit 2026

    Research Associate

    Technische Universität Berlin

    • Computational fluid dynamics research in multiphase-flow applications. • CFD modelling of ship-induced flow using STAR-CCM+ and OpenFOAM• cavitation, bubble dynamics and advanced numerical methods, including LBM and BEM

  • 3 Jahre und 2 Monate, Apr. 2023 - Mai 2026

    Postdoctoral Researcher

    University of Duisburg-Essen

    • Conducted CFD research at the Institute of Sustainable and Autonomous Maritime Systems (INAM), focusing on marine and multiphase-flow problems, cavitation, bubble dynamics, and ship exhaust dispersion. • Developed and applied numerical models using STAR-CCM+, OpenFOAM, and boundary-element methods (BEM). • Conducted CFD research at the Institute of Sustainable and Autonomous Maritime Systems (INAM), focusing on marine and multiphase-flow problems, cavitation, bubble dynamics, and ship exhaust dispersion.

  • 2 Jahre und 1 Monat, März 2021 - März 2023

    Senior Researcher (Postdoc)

    Gyeongsang National University

    • Conducted computational research on fluid–structure interaction, deformable cells, and nanoparticle transport in microvascular flows. • Developed three-dimensional simulations using the lattice Boltzmann method coupled with an immersed-boundary approach. • Investigated nanoparticle trajectories and transport mechanisms using dynamical-systems analysis and particle Lagrangian coherent structures (pLCS).

  • 6 Jahre, März 2015 - Feb. 2021

    PHD Student

    Gyeongsang National University

    • Performed three-dimensional CFD simulations of jellyfish swimming and prey-capture dynamics, including vortex–body interactions and deformable-body motion. • Investigated propulsion performance, pressure fields, vortex-ring dynamics, and energy recapture during periodic swimming cycles. • Modelled prey and particle trajectories using dynamical-systems methods and identified Lagrangian coherent structures (LCS) from finite-time Lyapunov exponent fields.

Ausbildung von Mazyar Dawoodian

  • 2015 - 2021

    Doctor of Philosophy (PhD)

    Gyeongsang National University

    Award: 2021 Academic Excellence Award (Given in recognition of outstanding academic performance and scholarly achievements under the support of the Korean government-funded BK21 project.)

Sprachen

  • Englisch

    C1 (Fließend)

  • Kurdish

    C2 (Verhandlungssicher / Muttersprachlich)

  • Persian

    C2 (Verhandlungssicher / Muttersprachlich)

  • Deutsch

    B1-B2 (Gute Kenntnisse)

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