Approximate Exponential Algorithms to Solve the Chemical Master Equation. - Azam S. Zavar Moosavi; Adrian Sandu (CoRR, 2014)

Solving stochastic chemical kinetics by Metropolis Hastings sampling. - Azam S. Zavar Moosavi; Paul Tranquilli; Adrian Sandu (CoRR, 2014)

Efficient Construction of Local Parametric Reduced Order Models Using Machine Learning Techniques. - Azam S. Zavar Moosavi; Razvan Stefanescu; Adrian Sandu (CoRR, 2015)

Cluster Sampling Filters for Non-Gaussian Data Assimilation. - Ahmed Attia; Azam S. Zavar Moosavi; Adrian Sandu (CoRR, 2016)

Multivariate predictions of local reduced-order-model errors and dimensions. - Azam S. Zavar Moosavi; Razvan Stefanescu; Adrian Sandu (CoRR, 2017)

A Machine Learning Approach to Adaptive Covariance Localization. - Azam S. Zavar Moosavi; Ahmed Attia; Adrian Sandu (CoRR, 2018)

Parametric domain decomposition for accurate reduced order models: Applications of MP-LROM methodology. - Razvan Stefanescu; Azam S. Zavar Moosavi; Adrian Sandu (J. Comput. Appl. Math., 2018)

Tuning Covariance Localization Using Machine Learning. - Azam S. Zavar Moosavi; Ahmed Attia; Adrian Sandu (ICCS (4), 2019)

A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. - Azam S. Zavar Moosavi; Vishwas Rao; Adrian Sandu (ICCS (4), 2019)

Machine learning based algorithms for uncertainty quantification in numerical weather prediction models. - Azam S. Zavar Moosavi; Vishwas Rao; Adrian Sandu (J. Comput. Sci., 2021)