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07/27/2022
Learning the Evolution of Correlated Stochastic Power System Dynamics
A machine learning technique is proposed for quantifying uncertainty in ...
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03/02/2022
CAMERA: A Method for Cost-aware, Adaptive, Multifidelity, Efficient Reliability Analysis
Estimating probability of failure in aerospace systems is a critical req...
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11/11/2020
Optimization under rare chance constraints
Chance constraints provide a principled framework to mitigate the risk o...
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01/31/2020
Efficient computation of extreme excursion probabilities for dynamical systems
We develop a novel computational method for evaluating the extreme excur...
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09/18/2019
Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models
Rapid simulations of advection-dominated problems are vital for multiple...
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02/20/2018
A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models
Complex numerical weather prediction models incorporate a variety of phy...
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11/05/2015