Adrian Sandu

About Adrian Sandu

Adrian Sandu, With an exceptional h-index of 54 and a recent h-index of 31 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of Numerical methods, high performance computing, uncertainty quantification, sensitivity analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

A nonsmooth dynamics framework for simulating frictionless spatial joints with clearances

Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach

Rosenbrock-W methods for stochastic Galerkin systems

Neural Network Reduction with Guided Regularizers

Parametric formulations of spatial joints with clearances: A non-smooth dynamics approach

Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities

An Adaptive Auto‐Reduction Solver for Speeding Up Integration of Chemical Kinetics in Atmospheric Chemistry Models: Implementation and Evaluation in the Kinetic Pre‐Processor …

Adversarial Training Using Feedback Loops

Adrian Sandu Information

University

Position

Professor of Computer Science

Citations(all)

9873

Citations(since 2020)

3352

Cited By

8054

hIndex(all)

54

hIndex(since 2020)

31

i10Index(all)

174

i10Index(since 2020)

102

Email

University Profile Page

Google Scholar

Adrian Sandu Skills & Research Interests

Numerical methods

high performance computing

uncertainty quantification

sensitivity analysis

Top articles of Adrian Sandu

Title

Journal

Author(s)

Publication Date

A nonsmooth dynamics framework for simulating frictionless spatial joints with clearances

Multibody System Dynamics

Ekansh Chaturvedi

Corina Sandu

Adrian Sandu

2024/2/21

Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach

arXiv preprint arXiv:2403.13704

Abhinab Bhattacharjee

Andrey A Popov

Arash Sarshar

Adrian Sandu

2024/3/20

Rosenbrock-W methods for stochastic Galerkin systems

Journal of Computational and Applied Mathematics

Roland Pulch

Adrian Sandu

2024/3/1

Neural Network Reduction with Guided Regularizers

arXiv preprint arXiv:2305.18448

Ali Haisam Muhammad Rafid

Adrian Sandu

2023/5/29

Parametric formulations of spatial joints with clearances: A non-smooth dynamics approach

Ekansh Chaturvedi

Adrian Sandu

Corina Sandu

2023/5/15

Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities

arXiv preprint arXiv:2312.15771

Adwait Verulkar

Corina Sandu

Adrian Sandu

Daniel Dopico

2023/12/25

An Adaptive Auto‐Reduction Solver for Speeding Up Integration of Chemical Kinetics in Atmospheric Chemistry Models: Implementation and Evaluation in the Kinetic Pre‐Processor …

Journal of Advances in Modeling Earth Systems

Haipeng Lin

Michael S Long

Rolf Sander

Adrian Sandu

Robert M Yantosca

...

2023/2

Adversarial Training Using Feedback Loops

arXiv preprint arXiv:2308.11881

Ali Haisam Muhammad Rafid

Adrian Sandu

2023/8/23

Symplectic multirate generalized additive Runge-Kutta methods for Hamiltonian systems

arXiv preprint arXiv:2306.04389

Kevin Schäfers

Michael Günther

Adrian Sandu

2023/6/7

Discrete adjoint variable method for the sensitivity analysis of ALI3-P formulations

Multibody System Dynamics

Álvaro López Varela

Corina Sandu

Adrian Sandu

Daniel Dopico Dopico

2023/6/2

A Fast Time-Stepping Strategy for Dynamical Systems Equipped with a Surrogate Model

SIAM Journal on Scientific Computing

Steven Roberts

Andrey A Popov

Arash Sarshar

Adrian Sandu

2022

Computational Science Laboratory Report CSL-TR-22-2 May 9, 2022

arXiv preprint arXiv:2205.03377

Jostein Barry-Straume

Arash Sarshar

Andrey A Popov

Adrian Sandu

2022/5

A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction

arXiv preprint arXiv:2207.06676

Andrey A Popov

Arash Sarshar

Austin Chennault

Adrian Sandu

2022/7/14

Multifidelity data assimilation for physical systems

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)

Andrey A Popov

Adrian Sandu

2022

Spatial Multibody Systems with Joint Friction

Adrian Sandu

Adwait Verulkar

Corina Sandu

2022/2/27

Computation of direct sensitivities of spatial multibody systems with joint friction

Journal of Computational and Nonlinear Dynamics

Adwait Verulkar

Corina Sandu

Daniel Dopico

Adrian Sandu

2022/7/1

A unified formulation of splitting-based implicit time integration schemes

Journal of Computational Physics

Severiano González-Pinto

Domingo Hernández-Abreu

Maria S Pérez-Rodríguez

Arash Sarshar

Steven Roberts

...

2022/1/1

Eliminating order reduction on linear, time-dependent ODEs with GARK methods

arXiv preprint arXiv:2201.07940

Steven Roberts

Adrian Sandu

2022/1/20

A stochastic covariance shrinkage approach to particle rejuvenation in the ensemble transform particle filter

Nonlinear Processes in Geophysics

Andrey A Popov

Amit N Subrahmanya

Adrian Sandu

2022/6/22

Linearly implicit multistep methods for time integration

SIAM Journal on Scientific Computing

Steven R Glandon

Mahesh Narayanamurthi

Adrian Sandu

2022

See List of Professors in Adrian Sandu University(Virginia Polytechnic Institute and State University)