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Ramin Madarshahian
Ramin Madarshahian
Senior Data Scientist
Verified email at lyondellbasell.com
Title
Cited by
Cited by
Year
Acoustic emission Bayesian source location: Onset time challenge
R Madarshahian, P Ziehl, JM Caicedo
Mechanical Systems and Signal Processing 123, 483-495, 2019
442019
Bayesian updating and identifiability assessment of nonlinear finite element models
MK Ramancha, R Astroza, R Madarshahian, JP Conte
Mechanical Systems and Signal Processing 167, 108517, 2022
342022
Hsu-Nielsen source acoustic emission data on a concrete block
R Madarshahian, V Soltangharaei, R Anay, JM Caicedo, P Ziehl
Data in brief 23, 103813, 2019
322019
Benchmark problem for human activity identification using floor vibrations
R Madarshahian, JM Caicedo, DA Zambrana
Expert Systems with Applications 62, 263-272, 2016
252016
Reducing MCMC computational cost with a two layered Bayesian approach
R Madarshahian, JM Caicedo
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2015
142015
Integrating professional and technical engineering skills with the EFFECTs pedagogical framework
CE Pierce, JM Caicedo, JRV Flora, ND Berge, R Madarshahian, ...
International Journal of Engineering Education 30 (6), 1579-1589, 2014
102014
Evaluation of a time reversal method with dynamic time warping matching function for human fall detection using structural vibrations
R Madarshahian, JM Caicedo, DA Zambrana
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2014
102014
Non-unique estimates in material parameter identification of nonlinear FE models governed by multiaxial material models using unscented kalman filtering
MK Ramancha, R Madarshahian, R Astroza, JP Conte
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020
92020
A neural network surrogate model for structural health monitoring of miter gates in navigation locks
M Vega, R Madarshahian, MD Todd
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020
92020
Human activity recognition using multinomial logistic regression
R Madarshahian, JM Caicedo
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2015
92015
A probabilistic approach for estimating water permeability in pressure-driven membranes
LK Boateng, R Madarshahian, Y Yoon, JM Caicedo, JRV Flora
Journal of molecular modeling 22, 1-12, 2016
82016
A probabilistic estimation approach for the failure forecast method using Bayesian inference
NM O’Dowd, R Madarshahian, MSH Leung, J Corcoran, MD Todd
International Journal of Fatigue 142, 105943, 2021
72021
Bayesian damage identification using strain data from lock gates
Y Yang, R Madarshahian, MD Todd
Dynamics of Civil Structures, Volume 2: Proceedings of the 37th IMAC, A …, 2020
72020
Estimating seismic demand parameters using the endurance time method
R Madarshahian, H Estekanchi, A Mahvashmohammadi
Journal of Zhejiang University-SCIENCE A 12, 616-626, 2011
72011
Human activity benchmark classification using multilayer artificial neural network
R Madarshahian, JM Caicedo, N Haerens
Dynamics of Civil Structures, Volume 2: Proceedings of the 36th IMAC, A …, 2019
62019
Optimal maintenance decision for deteriorating components in miter gates using Markov chain prediction model
MA Vega, R Madarshahian, TB Fillmore, MD Todd
52023
Bayesian estimation of acoustic emission arrival times for source localization
R Madarshahian, P Ziehl, MD Todd
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020
42020
Using P-box and PiFE to express uncertainty in model updating
R Madarshahian, JM Caicedo, BA Zárate
Topics in Model Validation and Uncertainty Quantification, Volume 5 …, 2013
32013
Transfer length probabilistic model updating in high performance concrete
AR Ortiz, R Madarshahian, JM Caicedo, D Rizos
Dynamics of Civil Structures, Volume 2: Proceedings of the 34th IMAC, A …, 2016
22016
Metamodeling of model evidence
R Madarshahian, JM Caicedo
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2016
22016
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