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 - 08/2023
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
Graduate student Olga Brudastova successfully defended her doctoral dissertation "Stochastic response determination and spectral identification of complex dynamic structural systems" on August 30, 2018.
American Society of Civil Engineers (ASCE) - Engineering Mechanics Institute (EMI) Conference, Massachusetts Institute of Technology (MIT), USA (2018)
Best Student Paper Award (Dynamics Committee Competition)
Awarded to Ioannis Petromichelakis for his paper "Stochastic response analysis and optimum design of nonlinear electromechanical energy harvesters: A Wiener path integral approach" co-authored with Apostolos F. Psaros and Ioannis A. Kougioumtzoglou.
Prof. Kougioumtzoglou delivers one of the Keynote Lectures entitled: "Advanced Tools for Uncertainty Modeling and Propagation in Engineering Dynamics" at the ICVRAM-ISUMA-UNCERTAINTIES Conference held in Florianopolis, Brazil, April 8-11, 2018.