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Traian Iliescu

Traian Iliescu

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
3987
World Ranking
9448
National Ranking
2658

Overview

Traian Iliescu is an academic affiliated with Virginia Tech in the United States, specializing in engineering and physics with a focus on computational mechanics and nonlinear physics. Their research spans a variety of topics primarily centered around model reduction and neural networks, fluid dynamics, and advanced numerical methods for computational mathematics.

Iliescu's main fields of study include:

  • Engineering
  • Physics and Astronomy

Within these, their key subfields of study are:

  • Computational Mechanics
  • Statistical and Nonlinear Physics
  • Statistics, Probability and Uncertainty
  • Computational Theory and Mathematics
  • Numerical Analysis

The core research topics addressed include:

  • Model Reduction and Neural Networks
  • Fluid Dynamics and Vibration Analysis
  • Fluid Dynamics and Turbulent Flows
  • Probabilistic and Robust Engineering Design
  • Advanced Numerical Methods in Computational Mathematics
  • Numerical methods for differential equations
  • Advanced Mathematical Modeling in Engineering

Traian Iliescu has a record of frequent publication in notable venues, with a significant number of papers appearing in:

  • arXiv (Cornell University)
  • Fluids
  • SSRN Electronic Journal
  • Computer Methods in Applied Mechanics and Engineering
  • Journal of Computational Physics

The scientist has collaborated regularly with several co-authors, including:

  • Changhong Mou
  • Omer San
  • Gianluigi Rozza
  • Francesco Ballarin
  • Ping-Hsuan Tsai

Among recent publications are:

  • "Data-driven variational multiscale reduced order models," 2020, Computer Methods in Applied Mechanics and Engineering
  • "A long short-term memory embedding for hybrid uplifted reduced order models," 2020, Physica D Nonlinear Phenomena
  • "On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal," 2022, arXiv (Cornell University)
  • "Consistency of the full and reduced order models for evolve-filter-relax regularization of convection-dominated, marginally-resolved flows," 2022, PubliCatt (Università Cattolica del Sacro Cuore)
  • "Closure Learning for Nonlinear Model Reduction Using Deep Residual Neural Network," 2020, Fluids

Best Publications

  • Mathematics of large eddy simulation of turbulent flows

    Luigi Carlo Berselli;T Iliescu;W. J. Layton

  • Proper orthogonal decomposition closure models for turbulent flows: A numerical comparison

    Zhu Wang;Imran Akhtar;Jeff Borggaard;Traian Iliescu

  • On closures for reduced order models—A spectrum of first-principle to machine-learned avenues

    Shady E. Ahmed;Suraj Pawar;Omer San;Adil Rasheed

  • Data-Driven Filtered Reduced Order Modeling of Fluid Flows

    Xuping Xie;Muhammad Mohebujjaman;Leo G. Rebholz;Traian Iliescu

  • A numerical investigation of velocity-pressure reduced order models for incompressible flows

    Alfonso Caiazzo;Traian Iliescu;Volker John;Swetlana Schyschlowa

  • Variational multiscale proper orthogonal decomposition: Navier‐stokes equations

    Traian Iliescu;Zhu Wang

  • Two-level discretizations of nonlinear closure models for proper orthogonal decomposition

    Z. Wang;I. Akhtar;J. Borggaard;T. Iliescu

  • Three-Dimensional Turbulent Bottom Density Currents from a High-Order Nonhydrostatic Spectral Element Model

    Tamay M. Özgökmen;Paul F. Fischer;Jinqiao Duan;Traian Iliescu

  • SUPG reduced order models for convection-dominated convection–diffusion–reaction equations

    Swetlana Giere;Traian Iliescu;Volker John;Volker John;David Wells

  • Large eddy simulation of stratified mixing in two-dimensional dam-break problem in a rectangular enclosed domain

    Tamay M. Özgökmen;Traian Iliescu;Paul F. Fischer;Ashwanth Srinivasan

  • Proper orthogonal decomposition closure models for fluid flows: Burgers equation

    Omer San;Traian Iliescu

  • Nonintrusive reduced order modeling framework for quasigeostrophic turbulence

    Sk. Mashfiqur Rahman;Suraj Pawar;Omer San;Adil Rasheed

  • Physically constrained data-driven correction for reduced-order modeling of fluid flows

    M. Mohebujjaman;L.G. Rebholz;T. Iliescu

  • Large eddy simulation of stratified mixing in a three-dimensional lock-exchange system

    Tamay M. Özgökmen;Traian Iliescu;Paul F. Fischer

  • Approximate deconvolution large eddy simulation of a barotropic ocean circulation model

    Omer San;Anne E. Staples;Zhu Wang;Traian Iliescu

  • Approximate deconvolution reduced order modeling

    Xuping Xie;David Wells;Zhu Wang;Traian Iliescu

  • Variational multiscale proper orthogonal decomposition: Convection-dominated convection-diffusion-reaction equations

    Traian Iliescu;Zhu Wang

  • Data-driven variational multiscale reduced order models

    Changhong Mou;Birgul Koc;Omer San;Leo G. Rebholz

  • An evolve‐then‐filter regularized reduced order model for convection‐dominated flows

    D. Wells;Z. Wang;X. Xie;T. Iliescu

  • A stabilized proper orthogonal decomposition reduced-order model for large scale quasigeostrophic ocean circulation

    Omer San;Traian Iliescu

  • Artificial viscosity proper orthogonal decomposition

    Jeff Borggaard;Traian Iliescu;Zhu Wang

  • Entrainment in bottom gravity currents over complex topography from three-dimensional nonhydrostatic simulations

    Tamay M. Özgökmen;Paul F. Fischer;Jinqiao Duan;Traian Iliescu

  • Variational Multiscale Proper Orthogonal Decomposition

    Traian Iliescu;Zhu Wang

Frequent Co-Authors

Paul Fischer
Paul Fischer University of Illinois at Urbana-Champaign
Tamay M. Özgökmen
Tamay M. Özgökmen University of Miami
Jinqiao Duan
Jinqiao Duan Great Bay University
William Layton
William Layton University of Pittsburgh
Volker John
Volker John Freie Universität Berlin
Bernd R. Noack
Bernd R. Noack Harbin Institute of Technology
Max D. Gunzburger
Max D. Gunzburger Florida State University
Gianluigi Rozza
Gianluigi Rozza International School for Advanced Studies
Serkan Gugercin
Serkan Gugercin Virginia Tech
Adrian Sandu
Adrian Sandu Virginia Tech

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