List of publications also available from Google Scholar.
Some of these publications are released with open-source code, allowing for faster diffusion of new ideas and algorithms.
Publications in peer-review journals
(2023) Mohammadi, Sevin and Olivier, Audrey and Smyth, Andrew. Probabilistic Prediction of Trip Travel Time and Its Variability Using Hierarchical Bayesian Learning, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. DOI: 10.1061/AJRUA6.RUENG-981
(2022) Olivier, Audrey and Adams, Matt and Mohammadi, Sevin and Smyth, Andrew and Thomson, Kathleen and Kepler, Timothy and Dadlano, Monish. Data analytics for improved closest hospital suggestion for EMS operations in New York City, Sustainable Cities and Society. DOI: 10.1016/j.scs.2022.104104
(2021) Olivier, Audrey and Shields, Michael D. and Graham-Brady, Lori. Bayesian neural networks for uncertainty quantification in data-driven materials modeling, Computer Methods in Applied Mechanics and Engineering. DOI: 10.1016/j.cma.2021.114079
(2021) Bhaduri, Anindya and Gupta, Ashwini and Olivier, Audrey and Graham-Brady, Lori. An efficient optimization based microstructure reconstruction approach with multiple loss functions, Computational Materials Science. DOI: 10.1016/j.commatsci.2021.110709
(2020) Olivier, Audrey and Giovanis, Dimitris G. and Aakash, B.S. and Chauhan, Mohit and Vandanapu, Lohit and Shields, Michael D. UQpy: A general purpose Python package and development environment for uncertainty quantification, Journal of Computational Science. DOI: 10.1016/j.jocs.2020.101204
(2018) Olivier, Audrey and Smyth, Andrew W. A marginalized unscented Kalman filter for efficient parameter estimation with applications to finite element models. Computer Methods in Applied Mechanics and Engineering. DOI: 10.1016/j.cma.2018.05.014
(2017) Olivier, Audrey and Smyth, Andrew W. On the Performance of Online Parameter Estimation Algorithms in Systems with Various Identifiability Properties. Frontiers in Built Environment. DOI: 10.3389/fbuil.2017.00014
(2017) Olivier, Audrey and Smyth, Andrew W. Review of Nonlinear Filtering for SHM with an Exploration of Novel Higher-Order Kalman Filtering Algorithms for Uncertainty Quantification. Journal of Engineering Mechanics. DOI: 10.1061/(ASCE)EM.1943-7889.0001276
(2017) Olivier, Audrey and Smyth, Andrew W. Particle filtering and marginalization for parameter identification in structural systems. Structural Control & Health Monitoring. DOI: 10.1002/stc.1874
(2016) Olivier, Audrey and Smyth, Andrew W. Trade offs between statistical agreement and data reproduction in the generation of synthetic ground motions. Probabilistic Engineering Mechanics. DOI: 10.1016/j.probengmech.2015.10.009
Publications in conference proceedings
(2021) de Larrea, Enrique Lelo and Lam, Henry and Sanabria, Elioth and Sethuraman, Jay and Mohammadi, Sevin and Olivier, Audrey and Smyth, Andrew W. and Dolan, Edward M. and Johnson, Nicholas E. and Kepler, Timothy R. and Quayyum, Afsan and Thomson, Kathleen S. Simulating New York City Hospital Load Balancing During COVID-19. In: 2021 Winter Simulation Conference (WSC). DOI: 10.1109/WSC52266.2021.971541
(2021) Sanabria, Elioth and Lam, Henry and de Larrea, Enrique Lelo and Sethuraman, Jay and Mohammadi, Sevin and Olivier, Audrey and Smyth, Andrew W. and Dolan, Edward M. and Johnson, Nicholas E. and Kepler, Timothy R. and Quayyum, Afsan and Thomson, Kathleen S. Short-Term Adaptive Emergency Call Volume Prediction. In: 2021 Winter Simulation Conference (WSC). DOI: 10.1109/WSC52266.2021.9715409