Arash Noshadravan

 Arash Noshadravan

Arash Noshadravan

  • Courses2
  • Reviews2
May 7, 2018
N/A
Textbook used: No
Would take again: Yes
For Credit: Yes

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Difficulty
Clarity
Helpfulness

Good

Dr. Noshadravan is Okay. Civil Engineering is not an easy class for any professor. His exams are very similar to the homework. He marks leniently. His lectures are good, and he posts notes online. He does go a little fast.

Biography

Texas A&M University College Station - Civil Engineering

Assistant Professor at Texas A&M University
Higher Education
Arash
Noshadravan
College Station, Texas
- Uncertainty quantification and propagation, stochastic modeling
- Predictive analytics, Data analysis, Model reduction
- Applied statistics, quantitative analysis, optimization

- Probabilistic Mechanics, Multiscale modeling and simulation of materials

- Life cycle sustainability of systems and products

- Programming languages: C++, MATLAB, R, Python, Unix shell scripting


Experience

  • University of Southern California

    Research Assistant

    Computational and stochastic Mechanics of polycrystalline materials:

    - Developed a data-driven stochastic model for reconstruction of random polycrystalline
    microstructures from experimental images.
    - Developed a probabilistic multi-scale model for up-scaling uncertainty in mechanical
    properties of heterogeneous materials with microstructures.

  • University of Southern California

    Teaching Assistant

    Arash worked at University of Southern California as a Teaching Assistant

  • Texas A&M University

    Research Assistant Professor

    Arash worked at Texas A&M University as a Research Assistant Professor

  • Texas A&M University

    Assistant Professor

    Arash worked at Texas A&M University as a Assistant Professor

  • Massachusetts Institute of Technology (MIT)

    Postdoctoral Associate

    Selected projects: Quantitative life-cycle sustainability assessment of materials and systems under uncertainty, decision-making under uncertainty, stochastic optimization of secondary material use in metals production.
    Laboratory affiliations: Materials Systems Laboratory (MSL), Concrete Sustainability Hub (CSHub)

Education

  • University of Southern California

    M.Eng.

    Computer-aided Engineering

  • University of Southern California

    Ph.D.

    Civil Engineering

  • University of Southern California

    Research Assistant


    Computational and stochastic Mechanics of polycrystalline materials: - Developed a data-driven stochastic model for reconstruction of random polycrystalline microstructures from experimental images. - Developed a probabilistic multi-scale model for up-scaling uncertainty in mechanical properties of heterogeneous materials with microstructures.

  • University of Southern California

    Teaching Assistant



  • Sharif University of Technology

    B.Sc.

    Civil Engineering

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