Výsledky vyhledávání - "Reza Madankan"

Theoretical model for laser ablation outcome predictions in brain: calibration and validation on clinical MR thermometry images

Autor: Reza Madankan, R. Jason Stafford, David Fuentes, John D. Hazle, Samuel J. Fahrenholtz, Shabbar F. Danish

Publikováno v: International Journal of Hyperthermia. 34:101-111

Purpose: Neurosurgical laser ablation is experiencing a renaissance. Computational tools for ablation planning aim to further improve the intervention. Here, global optimisation and inverse problems are demonstrated to train a model that predicts max

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::622bccdeb1378c3df4628a0193eee895
https://doi.org/10.1080/02656736.2017.1319974

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Temporal, probabilistic mapping of ash clouds using wind field stochastic variability and uncertain eruption source parameters: Example of the 14 April 2010 Eyjafjallajökull eruption

Autor: Peter Webley, Jon Dehn, Puneet Singla, Matthew D. Jones, Marcus Bursik, Abani Patra, E. B. Pitman, Michael J. Pavolonis, Tarunraj Singh, E. R. Stefanescu, Reza Madankan, Solene Pouget, D. Morton

Publikováno v: Journal of Advances in Modeling Earth Systems. 6:1173-1184

Uncertainty in predictions from a model of volcanic ash transport in the atmosphere arises from uncertainty in both eruption source parameters and the model wind field. In a previous contribution, we analyzed the probability of ash cloud presence usi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7136478fa71ea127a15dcce309ba0d15
https://doi.org/10.1002/2014ms000332

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Fast Construction of Surrogates for UQ Central to DDDAS– Application to Volcanic Ash Transport1

Autor: D. Morton, Reza Madankan, E. R. Stefanescu, Matthew D. Jones, Marcus Bursik, E. B. Pitman, Abani Patra, Tarunraj Singh, Peter Webley, Puneet Singla, Solene Pouget

Publikováno v: ICCS

In this paper, we present new ideas to greatly enhance the quality of uncertainty quantification in the DDDAS framework. We build on ongoing work in large scale transport of geophysical mass of volcanic origin – a danger to both land based installa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e24efafbc8f65cfb2c55d9fd5fea4a28
https://doi.org/10.1016/j.procs.2014.05.110

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Polynomial-Chaos-Based Bayesian Approach for State and Parameter Estimations

Autor: Peter D. Scott, Reza Madankan, Puneet Singla, Tarunraj Singh

Publikováno v: Journal of Guidance, Control, and Dynamics. 36:1058-1074

Two new recursive approaches have been developed to provide accurate estimates for posterior moments of both parameters and system states while making use of the generalized polynomial-chaos framework for uncertainty propagation. The main idea of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2bc9c9c43fc4208076a50c727c966cc4
https://doi.org/10.2514/1.58377

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Challenges in Developing DDDAS based Methodology for Volcanic Ash Hazard Analysis – Effect of Numerical Weather Prediction Variability and Parameter Estimation

Autor: Reza Madankan, Marcus Bursik, Abani Patra, E. B. Pitman, E. R. Stefanescu, Jon Dehn, Matthew D. Jones, Tarunraj Singh, Peter Webley, Puneet Singla, D. Morton, Michael J. Pavolonis, Solene Pouget

Publikováno v: ICCS

In this paper, we will present ongoing work on using a dynamic data driven application system (DDDAS) based approach to the forecast of volcanic ash transport and dispersal. Our primary modeling tool will be a new code puffin formed by the combinatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9edee0089cbbea3ab39965477f4c2bc9
https://doi.org/10.1016/j.procs.2013.05.356

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Accelerated magnetic resonance thermometry in the presence of uncertainties

Autor: Reza Madankan, Ganesh Rao, Jeffrey S. Weinberg, David Fuentes, John D. Hazle, R Stafford, Samuel J. Fahrenholtz, Christopher J. MacLellan, Wolfgang Stefan

Publikováno v: Physics in medicine and biology. 62(1)

A model-based information theoretic approach is presented to perform the task of magnetic resonance (MR) thermal image reconstruction from a limited number of observed samples on k-space. The key idea of the proposed approach is to optimally detect s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::262772983e962a86d3033b6e4827ae85
https://pubmed.ncbi.nlm.nih.gov/27991449

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Polynomial Chaos Quadrature-based Minimum Variance Approach for Source Parameters Estimation

Autor: Michael J. Pavolonis, Reza Madankan, E. Bruce Pitman, Peter Webley, Puneet Singla, Marcus Bursik, Jon Dehn, Matthew D. Jones, Abani Patra, Tarunraj Singh

Publikováno v: ICCS

We present a polynomial chaos based minimum variance formulation to solve inverse problems. The utility of the proposed approach is evaluated by considering the ash transport problem arising due to volcanic eruption. Volcanic ash advisory centers gen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8276ca5d490f2ebd4b6ece68c7239be

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A robust data assimilation approach in the absence of sensor statistical properties

Autor: Tarunraj Singh, Reza Madankan, Puneet Singla

Publikováno v: ACC

A convex optimization based approach is presented to perform model-data assimilation of spatial temporal dynamical systems where sensor error characteristics are not available. The key idea of the proposed technique is that one should not make any as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::030ff6663cc069c55202c221dcbc0b01
https://doi.org/10.1109/acc.2015.7172152

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