Mohsen Zayernouri

Contact Information

Engineering Bldg.
428 S Shaw Ln
Room: 2328J
East Lansing , MI 48824

(517) 432-0464

zayern@msu.edu

Associate Professor

Mechanical Engineering

Biography

Mohsen Zayernouri is the director of the Fractional Mathematics for Anomalous Transport and Hydromechanics (FMATH) group. The overarching theme of research in FMATH is to bring to bear advanced computational tools from applied mathematics and data sciences to develop multi-fidelity and predictive simulation tools for challenging engineering problems, including: stochastic Lévy processes in turbulent flows, shock and interface problems in reacting and multi-phase flows, anomalous transport in porous and disordered materials, sub-/super-diffusion processes in the human brain, and complex bio-materials and tissue engineering.

Education

  • Ph.D., 2015, Applied Mathematics, Brown University
  • Ph.D., 2010, Mechanical Engineering, University of Utah
  • M.Sc., 2012, Applied Mathematics, Brown University
  • M.Sc., 2006, Mechanical Engineering, Tehran Polytechnic, Iran

Research Interests

  • Numerical Analysis
  • Uncertainty Quantification and Statistical Learning
  • Fractional LES Turbulence Modeling
  • Anomalous Transport
  • Multiscale Material Failure Modeling

Research Lab

FMATH Group

Selected Publications

  1. BOOK: M. Zayernouri, L. Wang, J. Shen, and G. E. Karniadakis, “Spectral and Spectral-Element Methods for Fractional Ordinary and Partial Differential Equations”, Cambridge University Press May 2021].
  2. BOOK: M. Zayernouri, M. Metzger, (2013) “Computational Sensitivity Analysis of Shear Flows”, LAP LAMBERT Academic Publishing, ISBN-10: 3659454192.
  3. BOOK CHAPTERS: A. Lischke, M. Zayernouri, Z. Zhang, (2019) “Spectral and Spectral-Element Methods for Fractional Advection-Diffusion-Reaction Equations” Handbook of Fractional Calculus with Applications. Volume 3: Numerical Methods.
  4. BOOK CHAPTERS: M. Samiee† , E. Kharazmi† , and M. Zayernouri, (2017). “Fast Spectral Methods for TemporallyDistributed Fractional PDEs”, Selected papers from ICOSAHOM16, Springer publisher
  5. Barros de Moraes† , E.A., Suzuki† , J.L., Zayernouri, M. (2021) Atomistic-to-Meso Multi-Scale Data-Driven Graph Surrogate Modeling of Dislocation Glide, Computational Materials Science 197, 110569.
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MSU Scholar

MSU Scholars (Publications)

Google Scholar

Google Scholar (Publications)

Awards

  • AFOSR YIP Award
  • ARO YIP Award
  • ARO MURI
  • NSF/DOE Award

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