Sevan Goenezen

 Sevan Goenezen

Sevan Goenezen

  • Courses4
  • Reviews6
May 4, 2018
N/A
Textbook used: Yes
Would take again: No
For Credit: Yes

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0


Not Mandatory



Difficulty
Clarity
Helpfulness

Awful

just finished taking his final today, a bit difficult for the setup of the class, kinda hard to keep track of lecture would not recommend taking him as a prof

May 1, 2018
N/A
Textbook used: Yes
Would take again: No
For Credit: Yes

0
0


Mandatory



Difficulty
Clarity
Helpfulness

Average

Professor Goenezen did not take attendance, however would give surprise quizzes. He wouldn't post notes online, but when a solutions document, homework assignment, or grade was posted I would get an email or 2 about it. No one could follow his lectures well enough to participate even though that's what he wanted.

Apr 29, 2020
N/A
Textbook used: No
Would take again: Yes
For Credit: Yes

0
0


Not Mandatory



Difficulty
Clarity
Helpfulness

Awesome

Doctor Goenezen is a real treasure. He's cheerful, caring, and passionate. He changed my life in many ways and exposed me to the beautiful ways of FDM. Also, he's very flexible and understanding about transitioning the semester online. He's truly an amazing person. And I'm looking forward to his classes in person or online.

Biography

Texas A&M University College Station - Mechanical Engineering


Resume

  • 2007

    Doctor of Philosophy (PhD)

    Mechnical Engineering

    Rensselaer Polytechnic Institute

  • 2000

    M.S.

    Aeronautical Engineering

  • Goenezen's Research Page

    DESCRIPTION OF PAGE GOES HERE

    Sevan Goenezen: Lemelson-MIT Rensselaer Student Prize Finalist

    Recent research by doctoral student Sevan Goenezen holds the promise of becoming a powerful new weapon in the fight against breast cancer. His complex computational research has led to a fast

    inexpensive new method for using ultrasound and advanced algorithms to differentiate between benign and malignant tumors with a high degree of accuracy.

    Sevan Goenezen: Lemelson-MIT Rensselaer Student Prize Finalist

    Recent research by doctoral student Sevan Goenezen holds the promise of becoming a powerful new weapon in the fight against breast cancer. His complex computational research has led to a fast

    inexpensive new method for using ultrasound and advanced algorithms to differentiate between benign and malignant tumors with a high degree of accuracy.

    Numerical Analysis

    Simulation

    Python

    Windows

    Finite Element Analysis

    Research

    LaTeX

    ANSYS

    Biomedical Engineering

    Fortran

    Medical Imaging

    Optimization

    Modeling

    Mathematics

    Teaching

    Biomechanics

    Mathematical Modeling

    Matlab

    Algorithms

    Excel

    Goenezen

    Goenezen

    Oregon Health and Science University

    Rensselaer Polytechnic Institute

    RWTH Aachen University

    MTU Aero Engines North America

    RWTH Aachen University

    Texas A&M University

    1) Computer simulations of the blood flow in chicken embryonic hearts in early development stages. Studying the changes in hemodynamic forces in the outflow tract and its implications on congenital heart diseases.\n\n2) Biomechanics of abdominal aortic aneurysms to assess the risk of rupture using fluid-structure-interaction computations based on a finite element formulation.

    Postdoctoral Researcher

    Portland

    Oregon Area

    Oregon Health and Science University

    Numerical Mathematics

    Institute for Geometry and Practical Mathematics.

    RWTH Aachen University

    Rensselaer Polytechnic Institute

    Troy

    NY

    I graduated in May 2011 with the PhD degree from Rensselaer Polytechnic Institute in Troy

    NY. My Ph.D. work involved the development of efficient finite element algorithms to solve Nonlinear Inverse Elasticity problems. I have been able to distinguish between malignant and benign breast tumors with these inverse algorithms. This method may be applied to soft tissues in order to determine pathologically diseased tissues. \n\nhttp://news.rpi.edu/update.do?artcenterkey=2834\n\nMy Research Interests: Nonlinear Inverse Problems

    Elasticity Imaging/Elastography

    Numerical Methods

    Material Modeling

    Linear and Nonlinear Finite Element Methods

    Stabilized Finite Element Methods

    Homogenization

    Biomechanics

    Biomedical Imaging

    Mathematical Modeling

    Biomedical Engineering

    Ultrasound Imaging.

    Graduate Research Assistant

    College Station

    Assistant Professor

    Texas A&M University

    Dynamics

    ENGR-2090

    Rensselaer Polytechnic Institute

    Teaching Assistant

    Strength of Materials

    ENGR-2530; \nMachining Lab

    School of Engineering.

    Rensselaer Polytechnic Institute

    Mentoring

    Supervised undergraduate student project.

    Rensselaer Polytechnic Institute

    Undergraduate Research Student Assistant

    -Generating three dimensional grids for Navier Stokes and Euler computations.\n-Completing computations with software Flower (developed by DLR in Germany).\n-Post processing with TECPLOT.

    RWTH Aachen University

    Internship

    Mechanical Engineer

    Finite Element Simulations

    Design

    MTU Aero Engines North America

online

MEEN 603

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