Vahid Keshavarzzadeh

Vahid Keshavarzzadeh

Machine Learning Scientist

For the complete list of publications please see my Google Scholar page. The superscript * denotes equal contribution.

Preprints

  1. Keshavarzzadeh V., Kirby R.M., Narayan A. Variational Inference for Nonlinear Inverse Problems via Neural Net Kernels: Comparison to Bayesian Neural Networks, Application to Topology Optimization, arXiv preprint, arXiv:2205.03681, 2022
  2. Keshavarzzadeh V., Zhe S., Kirby R.M., Narayan A. GP-HMAT: Scalable, O(nlog(n)) Gaussian Process Regression with Hierarchical Low-Rank Matrices, arXiv preprint, arXiv:2201.00888, 2021
  3. Gladstone R.J., Nabian M.A., Keshavarzzadeh V., Meidani H. Robust Topology Optimization Using Variational Autoencoders, arXiv preprint, arXiv:2107.10661, 2021

Journal Papers

  1. Xu Y., Keshavarzzadeh V., Kirby R.M., Narayan A. A bandit-learning approach to multifidelity approximation, SIAM Journal on Scientific Computing, 2021.
  2. Keshavarzzadeh V., Kirby R.M., Narayan A. Robust Topology Optimization with Low Rank Approximation Using Artificial Neural Networks, Computational Mechanics, 2021.
  3. Bansal P., Keshavarzzadeh V., Guevara A., Li S., Daziano R.A. Designed Quadrature to Approximate Integrals in Maximum Simulated Likelihood Estimation, The Econometrics Journal - Royal Economic Society, 2021.
  4. Keshavarzzadeh V., Kirby R.M., Narayan A. Multilevel Designed Quadrature for Partial Differential Equations with Random Inputs, SIAM Journal on Scientific Computing, 43(2), A1412–A1440, 2021.
  5. Pejman R., Keshavarzzadeh V., Najafi A.R. Hybrid topology/shape optimization under uncertainty for actively-cooled nature-inspired microvascular composites, Computer Methods in Applied Mechanics and Engineering 375, 113624, 2021.
  6. Keshavarzzadeh V.*, Alirezaei M.*, Tasdizen T., Kirby R.M. Image-Based Multiresolution Topology Optimization Using Deep Disjunctive Normal Shape Model, Computer-Aided Design, Volume 130, 102947, 2021.
  7. Keshavarzzadeh V., Kirby R.M., Narayan A. Stress-based topology optimization under uncertainty via simulation-based Gaussian process, Computer Methods in Applied Mechanics and Engineering 365, 112992, 2020.
  8. Xing W., Elhabian S.Y., Keshavarzzadeh V., Kirby R.M. Shared-GP: Learning Interpretable Shared ‘Hidden’ Structure Across Data Spaces for Design Space Analysis and Exploration, Journal of Mechanical Design, 142(8): 081707, 2020.
  9. Keshavarzzadeh V., Kirby R.M., Narayan A. Generation of Generic Nested Quadrature Rules via Numerical Optimization: Application to Sparse Grids, Journal of Computational Physics, 400-108979, 2020.
  10. Keshavarzzadeh V., Ghanem R.G., Tortorelli D.A. Shape Optimization under Uncertainty for Rotor Blades of Horizontal Axis Wind Turbines, Computer Methods in Applied Mechanics and Engineering 354, 271-306, 2019.
  11. Keshavarzzadeh V., Kirby R.M., Narayan A. Parametric Topology Optimization with Multiresolution Finite Element Models, International Journal for Numerical Methods in Engineering, 119 (7), 567-589, 2019.
  12. Keshavarzzadeh V., James K.A. Robust Multiphase Topology Optimization Accounting for Manufacturing Uncertainty via Stochastic Collocation, Structural and Multidisciplinary Optimization, 60, 2461–2476, 2019.
  13. Mishra M., Keshavarzzadeh V., Noshadravan A. Reliability-based Lifecycle Management for Corroding Pipelines, Structural Safety, Vol.76, pp. 1-14, 2019.
  14. Keshavarzzadeh V., Kirby R.M., Narayan A. Convergence Acceleration for Time-Dependent Parametric Multifidelity Models, SIAM Journal on Numerical Analysis, 57(3), 1344-1368, 2019.
  15. Keshavarzzadeh V., Kirby R.M., Narayan A. Numerical Integration in Multiple Dimensions with Designed Quadrature, SIAM Journal on Scientific Computing, 40 (4), A2033-A2061, 2018.
  16. Keshavarzzadeh V., Fernandez F., Tortorelli D.A. Topology Optimization under Uncertainty via Non-Intrusive Polynomial Chaos Expansion, Computer Methods in Applied Mechanics and Engineering, Vol.318, pp. 120-147, 2017.
  17. Keshavarzzadeh V., Meidani H., Tortorelli D.A. Gradient Based Design Optimization under Uncertainty via Stochastic Expansion Methods, Computer Methods in Applied Mechanics and Engineering, Vol.306, pp. 47-76, 2016.
  18. Keshavarzzadeh V., Masri S.F. Identification of Discontinuous Nonlinear Systems via A Multivariate Padé Approach, Journal of Computational Physics, Vol.306, pp. 520-545, 2016.
  19. Ghanem R., Yadegaran I., Thimmisetty C., Keshavarzzadeh V., Masri S., Red-Horse J., Moser R., Oliver T., Spanos P., Aldraihem O. Probabilistic Approach to NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge Problem, Journal of Aerospace Information Systems, Vol.12, pp. 170-188, 2015.
  20. Keshavarzzadeh V., Ghanem R.G., Masri S.F., Aldraihem O.J. Convergence Acceleration of Polynomial Chaos Solutions via Sequence Transformation, Computer Methods in Applied Mechanics and Engineering, Vol.271, pp. 167-184, 2014.