Ehsan Haghighat

Ehsan Haghighat

Researcher in Scientific Computations, Stochastic Modeling, and Deep Learning

University of British Columbia

Massachusetts Institute of Technology

Dr. Ehsan Haghighat is a researcher and practitioner in the areas of Scientific Machine Learning, Computational Mechanics, and Mechanics of Solids and Porous Media. His research interests include computational solid- and poro-mechanics and multiphase flow in porous media, stochastic modeling and uncertainty quantification of engineering systems, and the use of artificial intelligence tools, including deep learning, in engineering analysis. Currently, he collaborates with multiple groups on the development and application of machine learning tools for engineering applications. Additionally, he provides consulting services in these areas. For more information, please contact him through the form below.

Interests

  • Scientific Machine Learning
  • Stochastic Modeling and Uncertainty Quantification
  • Numerical Methods
  • Mechanics of Solids and Porous Media

Education

  • Postdoctoral Fellow, 2020-2021

    University of British Columbia

  • Postdoctoral Associate, 2017-2019

    Massachusetts Institute of Technology

  • PhD in Computational Mechanics, 2011-2015

    McMaster University

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