Research Output per year

## Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

- 2 Similar Profiles

Chaos theory
Engineering & Materials Science

chaos
Physics & Astronomy

polynomials
Physics & Astronomy

Polynomials
Engineering & Materials Science

Structural dynamics
Engineering & Materials Science

Markov processes
Engineering & Materials Science

expansion
Physics & Astronomy

Sampling
Engineering & Materials Science

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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.

## Research Output 2009 2018

## A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions

Alemazkoor, N. & Meidani, H. Oct 15 2018 In : Journal of Computational Physics. 371, p. 137-151 15 p.Research output: Contribution to journal › Article

Chaos theory

chaos

polynomials

recovery

sampling

## Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks

Nabian, M. A. & Meidani, H. Jun 1 2018 In : Computer-Aided Civil and Infrastructure Engineering. 33, 6, p. 443-458 16 p.Research output: Contribution to journal › Article

reliability analysis

Reliability analysis

connectivity

learning

infrastructure

## Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data

Wu, X., Kozlowski, T. & Meidani, H. Jan 1 2018 In : Reliability Engineering and System Safety. 169, p. 422-436 15 p.Research output: Contribution to journal › Article

Nuclear fuels

Time series

Gases

Nuclear reactors

Principal component analysis

## Survival analysis at multiple scales for the modeling of track geometry deterioration

Alemazkoor, N., Ruppert, C. J. & Meidani, H. Mar 1 2018 In : Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 232, 3, p. 842-850 9 p.Research output: Contribution to journal › Article

Railroads

Bioinformatics

Deterioration

Geometry

Defects

## Calibration and ranking of coarse-grained models in molecular simulations using bayesian formalism

Meidani, H., Hooper, J. B., Bedrov, D. & Kirby, R. M. 2017 In : International Journal for Uncertainty Quantification. 7, 2, p. 99-115 17 p.Research output: Contribution to journal › Article

Molecular Simulation

Ranking

Calibration

Prediction

Ensemble