Hasan Eruslu

 HasanH. Eruslu

Hasan H. Eruslu

  • Courses2
  • Reviews2

Biography

University of Delaware - Mathematics

Research Assistant at University of Delaware
Research
Hasan H.
Eruslu
Newark, Delaware
I study numerical analysis of transient viscoelastic waves, and build computational tools and simulations using MATLAB. I also work on an efficient algorithm for surface segmentation in 3D images using Python.


Experience

  • Francisco Sayas MATLAB Coding Team

    Code Developer

    - Producing vectorized, fast and parallelized algorithms with a team of 5-7 using MATLAB.
    - Problems in 3D settings including behavior of viscoelastic materials, acoustic wave solid interactions, electromagnetic wave propagation, etc.
    - Achieved at least 1e-05 of accuracy in benchmark problems with high order polynomial approximation.

  • University of Delaware

    Research Assistant

    - Funded by NSF Computational Mathematics program through my advisor Dr. Francisco Sayas.
    - Developing robust computational tools to study the deformation and stress in solids.

  • University of Delaware

    Graduate Teaching Assistant

    - Led discussion sessions of Calculus courses for STEM majors.
    - Achieved above 95% rating of excellence in student evaluations.

  • National Institute of Standards and Technology

    Guest Researcher/Research Assistant Intern

    - Research Assistant Intern supported by Theiss Research at National Institute of Standards and Technology (NIST).
    - Developed an object oriented Python library for surface segmentation problem.
    - Resolved the boundary of a synthetic simple connected 3D object in given images with an accuracy corresponding in average to 50% of the object edge width.

  • National Institute of Standards and Technology

    Guest Researcher/Research Assistant Intern

    Supported by Theiss Research, continued to the development of the library of Python tools for 3D surface segmentation for material images.

Education

  • University of Delaware

    Master's degree

    Applied Mathematics

  • University of Delaware

    Doctor of Philosophy - PhD

    Applied Mathematics

  • Excellence in Graduate Teaching Award


    Annual award of recognition and $1,500 financial gift to at most two of more than 2000 graduate instructors/teaching assistants across the university.

  • Francisco Sayas MATLAB Coding Team

    Code Developer


    - Producing vectorized, fast and parallelized algorithms with a team of 5-7 using MATLAB. - Problems in 3D settings including behavior of viscoelastic materials, acoustic wave solid interactions, electromagnetic wave propagation, etc. - Achieved at least 1e-05 of accuracy in benchmark problems with high order polynomial approximation.

  • University of Delaware

    Research Assistant


    - Funded by NSF Computational Mathematics program through my advisor Dr. Francisco Sayas. - Developing robust computational tools to study the deformation and stress in solids.

  • University of Delaware

    Graduate Teaching Assistant


    - Led discussion sessions of Calculus courses for STEM majors. - Achieved above 95% rating of excellence in student evaluations.

  • Boğaziçi University

    Master of Science - MS

    Mathematics

Publications

  • A Galerkin BEM for high-frequency scattering problems based on frequency-dependent changes of variables

    IMA Journal of Numerical Analysis

    We develop a new class of semidiscrete Galerkin boundary element methods for the solution of two-dimensional exterior single-scattering problems. Our theoretical results are confirmed by numerical tests that show that, for sufficiently large DoF, the error tends to decrease with increasing wavenumber k.

  • A Galerkin BEM for high-frequency scattering problems based on frequency-dependent changes of variables

    IMA Journal of Numerical Analysis

    We develop a new class of semidiscrete Galerkin boundary element methods for the solution of two-dimensional exterior single-scattering problems. Our theoretical results are confirmed by numerical tests that show that, for sufficiently large DoF, the error tends to decrease with increasing wavenumber k.

  • Analysis of models for viscoelastic wave propagation

    Applied Mathematics and Nonlinear Sciences

    The problem of waves propagating in a viscoelastic solid is studied. For the material properties of the solid we consider both classical and fractional differentiation in time versions of the Zener, Maxwell, and Voigt models, where the coupling of different models within the same solid are covered as well. We investigate the stability of each model in details and offer some numerical experiments that highlight some of the differences between the models and how different parameters effect the results.