Stanford University


Showing 1-10 of 11 Results

  • Svyatoslav Korneev

    Svyatoslav Korneev

    Postdoctoral Research Fellow, Energy Resources Engineering

    Bio I'm a professional computational scientist. I specialize in simulations of complex multidimensional flows and transport (6 years), simulation of heat transfer (6 years), parallel computations in MPI (6 years), scientific visualization and data processing (6 years), simulations and mesh preparation in OpenFOAM (2 years), development in Wolfram Mathematica (6 years), Python and Fortran 90 (6 years). I'm familiar with the industrial level numerical simulations of fluid dynamic and aerodynamic in a complex geometry (3 years). I use modern simulation tools, like OpenFOAM and have a strong background in developing numerical solvers (3 years). I also have experience in image processing, image segmentation, and pattern recognition (1 year).

    I graduate Saint-Petersburg State University in 2006. The year before the graduation I joined to P&G Gillette Russia as a data scientist at Quality&Assurance department, where I developed a database for collecting and analyzing information from the production line of Gillette blades. After the graduation, I transferred to the full-time position in P&G. Following the experience in the industry, I decided to try myself in academia. I received Ph.D. in theoretical physics from the Russian Academy of Sciences in January 2012 (under the supervision of Dr. Anatoly Kamchtnov). Subsequently, I held a postdoctoral position at King Abdullah University of Science and Technology (KAUST) under the supervision of Dr. Kasimov and a postdoctoral position in the Mechanical Engineering department at San Diego State University in Dr. Battiato?s research group, where I joined in March 2015. In January 2017 I joined to Stanford School of Earth, Energy & Environmental Science.

    Education

    2011. Ph.D. in theoretical physics, Institute for Spectroscopy, Russian Academy of Sciences. Thesis title ?Nonlinear dynamics of Bose-Einstein condensates of atoms and polaritons?, scientific advisor Anatoly M. Kamchatnov.

    2007. Diploma in astronomy, Saint-Petersburg State University, Department of Mathematics and Mechanics.

    Experience

    2015 ? 2016. San Diego State University. Recently I was working on a numerical and analytical investigation of reactive transport in heterogeneous porous medium from geological formations.

    I have been actively involved in the development of novel multiscale computational methods for reactive transport in heterogeneous porous media. My efforts have focused on the development of sequential homogenization approaches for the upscaling of heterogeneous porous media and their validation by extensive numerical simulations in OpenFOAM. In this regard, I was awarded an Amazon Web Services Research Grant, through which I am performing most of the parallel computations related to the project. Results of my research were recently published in Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal (MMS (14), no. 4 2016).

    2012 ? 2015. King Abdullah University of Science & Technology. I was responsible for analysis and numerical simulations of reactive supersonic flows.

    I investigated gaseous detonations in supersonic flows for various heat release models and published a paper in the most respectful journal, Journal of Fluid Mechanics (JFM (760), pp. 313-341, 2014, "http://dx.doi.org/10.1017/jfm.2014.598"). In this research, I analyzed steady-state detonation solutions and performed extensive two-dimensional simulations on our group's Linux cluster.

    Skills

    Image processing
    Machine learning
    Numerical methods for flow and transport problems.
    Parallel computing and high?performance computing.
    Development in Fortran 90.
    Development in OpenFOAM.
    Development in Wolfram Mathematica and Python.
    Computing cluster administration.

    Research interests

    Multiscale transport problems.
    Multiscale analytical and numerical methods.
    High?performance scientific computing.
    Computational fluid dynamic.
    Machine learning and image processing.

  • Yashar Mehmani

    Yashar Mehmani

    Postdoctoral Research Fellow, Energy Resources Engineering

    Current Research and Scholarly Interests pore-scale fluid dynamics
    digital rock physics
    oil/gas shale

  • Davide Picchi

    Davide Picchi

    Postdoctoral Research Fellow, Energy Resources Engineering

    Bio Postdoctoral experiences:

    1) 1 year as Postdoctoral Fellow at Tel Aviv University in the group of Prof. Neima Brauner and Prof. Amos Ullmann. The research activity was focused on a theoretical investigation on two-phase flows in pipes in the case one of the two phases is a non-Newtonian fluid. The biggest attention was payed on the stratified flow regime including the issue of stability: flow characteristics were investigated to provide useful trends for applications (pipelines and plants) and for the one-dimensional modeling (e.g. Two-fluid model closures). Annular flow regime was also studied. Publications on these topics are now submitted/going to be submitted.

    2) current Postdoctoral Research Fellow at Stanford University under the supervision of Prof. Ilenia Battiato.
    _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

    Ph.D. at the UniversitÓ degli Studi di Brescia

    The Ph.D. was in collaboration with the Italian oil company ENI and the advisor was Prof. Pietro Poesio (UniversitÓ degli Studi di Brescia). The main topic consisted in the study of gas/non-Newtonian systems in pipes (particular effort is given to shear-thinning fluid), including both theoretical and experimental activities. A strong interest is given on the developing of predicting tools, like the two-fluid model closures: estimating pressure drop and flow pattern transitions along the pipelines have a practical relevance for industry applications. In addition, experimental investigations were performed to validate of the mechanistic predictive models and for the complete understanding of the flow characteristics. Some of the published results of the Ph.D. includes a pre-integrated model, the stability analysis (linear and nonlinear) of the stratified flow regime including the issue of multiple solutions; slug flow characteristics were measured (bubble velocity and frequency) and a new correlation was proposed for the slug frequency accounting for the liquid rheology. Uncertainty quantifications of Two-fluid model predictions.

    In addition, I provided support in teaching activity for the course of Fisica Tecnica (Basic Thermodynamics) by Prof. P. Poesio, Department of Mechanical and Industrial Engineering, University of Brescia.

    At the end of the Ph.D. I was a visiting Ph.D. student at Tel Aviv University, in the group of Prof. Neima Brauner and Prof. Amos Ullmann.
    _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

    M.Sc. thesis was developed as visiting student in collaboration with Prof. Gijs Ooms (TUDelft) and Prof. F. Toschi (Tu/e, Eindhoven) and was about carrying out numerical simulation of particle flow in pores using the Lattice-Boltzmann technique.
    _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

    B.Sc. thesis was focused on a experimental and theoretical modelling of high-viscous-oil-in-water dispersions in pipes under the supervision of Prof. Pietro Poesio (UniversitÓ degli Studi di Brescia). experiments were performed in a pipe facility including holdup measurements using an existing home made capacitance probe.
    _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

    Communications at International Conferences

    1) 2014 Picchi, D., Manerba, Y., Correra, S., Margarone, M., Poesio, P. 2014. Experimental investigation of gas/Non-Newtonian liquid two-phase flows through horizontal and slightly inclined pipes., 13th International Conference Multiphase flow in industrial plant, Sestri Levante (Genova).
    2) 2016 Picchi, Poesio, P. 2016. Uncertainty quantification of the two-fluid model and flow pattern transition boundaries predictions for the stratified flow regime by MonteCarlo simulations and polynomial chaos expansions, 9th International Conference on Multiphase Flow (ICMF 2016), Firenze (Italy)
    _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

    Google Scholar:

    https://scholar.google.com/citations?user=bCWzQPsAAAAJ&hl=it

  • Arvind P. Ravikumar

    Arvind P. Ravikumar

    Postdoctoral Research Fellow, Energy Resources Engineering

    Current Research and Scholarly Interests I study energy and climate policies in the United States. To be more specific, my focus is currently on natural gas infrastructure and the electricity sector.

Footer Links:

Stanford Medicine Resources: