Apostolos Psaros Andriopoulos

Past Research Group members

Apostolos received his Ph.D. degree in 2019 from Columbia University under the supervision of Prof Kougioumtzoglou, where he was also a Post-Doctoral Researcher during 2019-2020.

Dissertation: Sparse representations and quadratic approximations in path integral techniques for stochastic response analysis of diverse systems/structures

Current Position: Senior Researcher, AI Center for Asset Management, Fidelity Investments, USA

Publications

Sparse representations and compressive sampling for enhancing the computational efficiency of the Wiener path integral technique

Apostolos F. Psaros

Ioannis A. Kougioumtzoglou

Ioannis Petromichelakis

Stochastic response determination and optimization of a class of nonlinear electromechanical energy harvesters: A Wiener path integral approach

Ioannis Petromichelakis

Apostolos F. Psaros

Ioannis A. Kougioumtzoglou

Wiener path integral based response determination of nonlinear systems subject to non-white, non-Gaussian, and non-stationary stochastic excitation

Apostolos F. Psaros

Olga Brudastova

Giovanni Malara

Ioannis A. Kougioumtzoglou

Wiener path integrals and multi-dimensional global bases for non-stationary stochastic response determination of structural systems

Apostolos F. Psaros

Ioannis Petromichelakis

Ioannis A. Kougioumtzoglou

Stochastic response determination of nonlinear structural systems with singular diffusion matrices: A Wiener path integral variational formulation with constraints

Ioannis Petromichelakis

Apostolos F. Psaros

Ioannis A. Kougioumtzoglou

An exact closed-form solution for linear multi-degree-of-freedom systems under Gaussian white noise via the Wiener path integral technique

Apostolos F. Psaros

Ying Zhao

Ioannis A. Kougioumtzoglou

Functional series expansions and quadratic approximations for enhancing the accuracy of the Wiener path integral technique

Apostolos F. Psaros

Ioannis A. Kougioumtzoglou

Sparse representations and compressive sampling approaches in engineering mechanics: A review of theoretical concepts and diverse applications

Ioannis A. Kougioumtzoglou

Ioannis Petromichelakis

Apostolos F. Psaros

Stochastic response analysis and reliability-based design optimization of nonlinear electromechanical energy harvesters with fractional derivative elements

Ioannis Petromichelakis

Apostolos F. Psaros

Ioannis A. Kougioumtzoglou

Uncertainty quantification of nonlinear system stochastic response estimates based on the Wiener path integral technique: A Bayesian compressive sampling treatment

Maria I. Katsidoniotaki

Apostolos F. Psaros

Ioannis A. Kougioumtzoglou

A quadratic Wiener path integral approximation for stochastic response determination of multi-degree-of-freedom nonlinear systems

Ying Zhao

Apostolos F. Psaros

Ioannis Petromichelakis

Ioannis A. Kougioumtzoglou

A Wiener path integral formalism for treating nonlinear systems with non-Markovian response processes

Ilias G. Mavromatis

Apostolos F. Psaros

Ioannis A. Kougioumtzoglou

Publications

Sparse representations and compressive sampling for enhancing the computational efficiency of the Wiener path integral technique

Stochastic response determination and optimization of a class of nonlinear electromechanical energy harvesters: A Wiener path integral approach

Wiener path integral based response determination of nonlinear systems subject to non-white, non-Gaussian, and non-stationary stochastic excitation

Wiener path integrals and multi-dimensional global bases for non-stationary stochastic response determination of structural systems

Stochastic response determination of nonlinear structural systems with singular diffusion matrices: A Wiener path integral variational formulation with constraints

An exact closed-form solution for linear multi-degree-of-freedom systems under Gaussian white noise via the Wiener path integral technique

Functional series expansions and quadratic approximations for enhancing the accuracy of the Wiener path integral technique

Sparse representations and compressive sampling approaches in engineering mechanics: A review of theoretical concepts and diverse applications

Stochastic response analysis and reliability-based design optimization of nonlinear electromechanical energy harvesters with fractional derivative elements

Uncertainty quantification of nonlinear system stochastic response estimates based on the Wiener path integral technique: A Bayesian compressive sampling treatment

A quadratic Wiener path integral approximation for stochastic response determination of multi-degree-of-freedom nonlinear systems

A Wiener path integral formalism for treating nonlinear systems with non-Markovian response processes

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