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All Stories

  1. Bayesian parameter estimation for dynamical models in systems biology

    Article • PLoS Computational Biology, October 2022, PLOS

    Dr. Boris Kramer

  2. Learning Physics-Based Reduced-Order Models for a Single-Injector Combustion Process

    Article • AIAA Journal, June 2020, American Institute of Aeronautics and Astronautics (AIAA)

    Dr. Boris Kramer

  3. Multifidelity probability estimation via fusion of estimators

    Article • Journal of Computational Physics, September 2019, Elsevier

    Dr. Boris Kramer

  4. Transform & Learn: A data-driven approach to nonlinear model reduction

    Article • June 2019, American Institute of Aeronautics and Astronautics (AIAA)

    Prof Karen E Willcox, Elizabeth Qian, Dr. Boris Kramer

  5. Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition

    Article • AIAA Journal, June 2019, American Institute of Aeronautics and Astronautics (AIAA)

    Dr. Boris Kramer

  6. System Identification via CUR-Factored Hankel Approximation

    Article • SIAM Journal on Scientific Computing, January 2018, Society for Industrial & Applied Mathematics (SIAM)

    Alex Gorodetsky, Dr. Boris Kramer

  7. Multifidelity Preconditioning of the Cross-Entropy Method for Rare Event Simulation and Failure Probability Estimation

    Article • SIAM/ASA Journal on Uncertainty Quantification, January 2018, Society for Industrial & Applied Mathematics (SIAM)

    Dr. Boris Kramer

  8. Conditional-Value-at-Risk Estimation via Reduced-Order Models

    Article • SIAM/ASA Journal on Uncertainty Quantification, January 2018, Society for Industrial & Applied Mathematics (SIAM)

    Dr. Boris Kramer

  9. Learning-based robust stabilization for reduced-order models of 2D and 3D Boussinesq equations

    Article • Applied Mathematical Modelling, September 2017, Elsevier

    Dr. Boris Kramer

  10. Combining multiple surrogate models to accelerate failure probability estimation with expensive high-fidelity models

    Article • Journal of Computational Physics, July 2017, Elsevier

    Dr. Boris Kramer

  11. Robust POD model stabilization for the 3D Boussinesq equations based on Lyapunov theory and extremum seeking

    Article • May 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Boris Kramer

  12. Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows

    Article • SIAM Journal on Applied Dynamical Systems, January 2017, Society for Industrial & Applied Mathematics (SIAM)

    Dr. Boris Kramer

  13. Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models

    Article • SIAM Journal on Applied Dynamical Systems, January 2017, Society for Industrial & Applied Mathematics (SIAM)

    Dr. Boris Kramer

  14. A POD projection method for large-scale algebraic Riccati equations

    Article • Numerical Algebra Control & Optimization, December 2016, American Institute of Mathematical Sciences (AIMS)

    Dr. Boris Kramer

  15. Learning-based reduced order model stabilization for partial differential equations: Application to the coupled Burgers' equation

    Article • July 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Boris Kramer

  16. Model reduction for control of a multiphysics system: Coupled Burgers' equation

    Article • July 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Boris Kramer

  17. Tangential interpolation-based eigensystem realization algorithm for MIMO systems

    Article • Mathematical and Computer Modelling of Dynamical Systems, June 2016, Taylor & Francis

    Dr. Boris Kramer

  18. Full flux models for optimization and control of heat exchangers

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Boris Kramer

  19. Solving Algebraic Riccati Equations via Proper Orthogonal Decomposition

    Article • IFAC Proceedings Volumes, January 2014, Elsevier

    Dr. Boris Kramer