Active Research Projects
CAREER: A Path Integral Methodology for Accurate and Computationally Efficient Stochastic Analysis of Diverse Dynamical Systems
Funded by the National Science Foundation (NSF), USA: 09/2018 - 08/2024
Compressive Sampling for Uncertainty Modeling and Quantification of Dynamical Systems Subject to Highly Limited/Incomplete Data
Funded by the National Science Foundation (NSF), USA: 09/2017 - 08/2020
News
New book on "Path Integrals in Stochastic Engineering Dynamics"
This book organizes and explains, in a systematic and pedagogically effective manner, recent advances in path integral solution techniques with applications in stochastic engineering dynamics. It fills a gap in the literature by introducing to the engineering mechanics community, for the first time in the form of a book, the Wiener path integral as a potent uncertainty quantification tool.
Prof. Kougioumtzoglou receives the 2024 Walter L. Huber Civil Engineering Research Prize of the American Society of Civil Engineers (ASCE)
Prof. Kougioumtzoglou has been selected by ASCE’s Committee on Technical Advancement to receive the 2024 Walter L. Huber Civil Engineering Research Prize for “seminal contributions to the field of stochastic engineering dynamics, and for pioneering Wiener path integral methods for determining the response of diverse nonlinear systems/structures subjected to a variety of stochastic excitations.”
Graduate student Ilias Mavromatis successfully defends his PhD dissertation
Graduate student Ilias Mavromatis successfully defended on March 26, 2024 his doctoral dissertation entitled “Nonlinear stochastic dynamics of structural systems: A general and computationally efficient Wiener path integral formalism”.