Viktor Reshniak bio photo

Viktor Reshniak

Postdoctoral Research Associate at Oak Ridge National Laboratory

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I am a postdoctoral research associate in the Computational and Applied Mathematics group at Oak Ridge National Laboratory. I am working in the group of professor Clayton Webster on several projects including compressive sensing, machine learning and image processing. I am also contributing to the development of the FORTRAN module for the Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN (TASMANIAN).

I received my PhD in Computational Science from Middle Tennessee State University. At MTSU, I worked under the supervision of professors Yuri Melnikov and Abdul Khaliq. My dissertation was devoted to the construction of the acceleration techniques for the multilevel Monte Carlo method in application to several classes of stochastic and random differential equations. As a part of my master’s degree in Thermal Physics, my previous research experience also includes computational mechanics and mathematical modeling of multiphase flows.

My current research interests and projects can be summarized as follows:

  • Machine learning
  • Compressive sensing
  • Uncertainty quantification
  • High performance computing

My research interests also include:

  • Image processing
  • Nonlocal and fractional PDEs
  • Computational mechanics