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---
layout: default
title: Publications
---
<h2>Imaging science</h2>
<p><a id="LiVillaDuricEtAl22"></a>
Fu Li, Umberto Villa, Neb Duric, and Mark A. Anastasio.
<b>Investigation of an elevationally focused transducer model for
three-dimensional full-waveform inversion in ultrasound computed
tomography</b>.
In <em>Medical Imaging 2022: Ultrasonic Imaging and Tomography</em>,
volume 12038, pages 206--214. International Society for Optics and Photonics,
SPIE, 2022.
[ <a href="uvilla_bib.html#LiVillaDuricEtAl22">bib</a> ]
</p>
<p><a id="CamVillaAnastasio22"></a>
Refik Cam, Umberto Villa, and Mark Anastasio.
<b>A Learned Filtered Backprojection Method for use with Half-Time
Circular Radon Transform Data</b>.
In <em>Medical Imaging 2022: Physics of Medical Imaging</em>, volume
12031, pages 787--792. International Society for Optics and Photonics, SPIE,
2022.
[ <a href="uvilla_bib.html#CamVillaAnastasio22">bib</a> ]
</p>
<p><a id="LozenskiAnastasioVilla22a"></a>
Luke Lozenski, Mark Anastasio, and Umberto Villa.
<b>Implicit Neural Representation for Dynamic Imaging</b>.
In <em>Medical Imaging 2022: Physics of Medical Imaging</em>, volume
12031, pages 231--238. International Society for Optics and Photonics, SPIE,
2022.
[ <a href="uvilla_bib.html#LozenskiAnastasioVilla22a">bib</a> ]
</p>
<p><a id="GranstedtVillaAnastasio22"></a>
Jason Granstedt, Umberto Villa, and Mark Anastasio.
<b>Learned Hotelling Observers for use with Multi-Modal Data</b>.
In <em>Medical Imaging 2022: Image Perception, Observer Performance,
and Technology Assessment</em>, volume 12035, pages 262--268. International
Society for Optics and Photonics, SPIE, 2022.
[ <a href="uvilla_bib.html#GranstedtVillaAnastasio22">bib</a> ]
</p>
<p><a id="LiVillaParkEtAl21"></a>
Fu Li, Umberto Villa, Seonyeong Park, and Mark A Anastasio.
<b>Three-dimensional stochastic numerical breast phantoms for
enabling virtual imaging trials of ultrasound computed tomography</b>.
<em>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency
Control</em>, 69(1):135--146, 2022.
[ <a href="uvilla_bib.html#LiVillaParkEtAl21">bib</a> |
<a href="http://dx.doi.org/10.1109/TUFFC.2021.3112544">DOI</a> |
<a href="https://arxiv.org/abs/2106.02744">http</a> ]
</p>
<p><a id="KuoGranstedtVillaEtAl22"></a>
Joseph Kuo, Jason Granstedt, Umberto Villa, and Mark A. Anastasio.
<b>Computing a Projection Operator onto the Null Space of a Linear
Imaging Operator: Tutorial</b>.
<em>Journal of the Optical Society of America A</em>, 39:470--481, 2022.
[ <a href="uvilla_bib.html#KuoGranstedtVillaEtAl22">bib</a> |
<a href="http://dx.doi.org/10.1364/JOSAA.443443">DOI</a> ]
</p>
<p><a id="ParkBrooksVillaEtAl22"></a>
Seonyeong Park, Frank Brooks, Umberto Villa, Richard Su, Mark Anastasio, and
Alexander Oraevsky.
<b>Normalization of optical fluence distribution for
three-dimensional functional optoacoustic tomography of the breast</b>.
<em>Journal of Biomedical Optics</em>, 27, 2022.
[ <a href="uvilla_bib.html#ParkBrooksVillaEtAl22">bib</a> ]
</p>
<p><a id="LozenskiAnastasioVilla22"></a>
Luke Lozenski, Mark A. Anastasio, and Umberto Villa.
<b>A Memory-Efficient Self-Supervised Dynamic Image Reconstruction
Method Using Neural Fields</b>.
<em>IEEE Transactions on Computational Imaging</em>, 8:879--892, 2022.
[ <a href="uvilla_bib.html#LozenskiAnastasioVilla22">bib</a> |
<a href="http://dx.doi.org/10.1109/TCI.2022.3208511">DOI</a> |
<a href="https://arxiv.org/abs/2205.05585">http</a> ]
</p>
<p><a id="BhadraVillaAnastasio22"></a>
Sayantan Bhadra, Umberto Villa, and Mark Anastasio.
<b>Mining the manifolds of deep generative models for multiple
data-consistent solutions of ill-posed tomographic imaging problems</b>.
<em>IEEE Transactions on Medical Imaging</em>, 2022.
[ <a href="uvilla_bib.html#BhadraVillaAnastasio22">bib</a> ]
</p>
<p><a id="LiVillaParkEtAl21a"></a>
Fu Li, Umberto Villa, Seonyeong Park, Shenghua He, and Mark A. Anastasio.
<b>A framework for ultrasound computed tomography virtual imaging
trials that employs anatomically realistic numerical breast phantoms</b>.
In Brett C. Byram and Nicole V. Ruiter, editors, <em>Medical Imaging
2021: Ultrasonic Imaging and Tomography</em>, volume 11602. International Society
for Optics and Photonics, SPIE, 2021.
[ <a href="uvilla_bib.html#LiVillaParkEtAl21a">bib</a> |
<a href="http://dx.doi.org/10.1117/12.2582260">DOI</a> |
<a href="https://doi.org/10.1117/12.2582260">http</a> ]
</p>
<p><a id="WangVillaThompsonEtAl21"></a>
Chao Wang, Umberto Villa, Weylan Thompson, Seonyeong Park, Sergey A. Ermilov,
and Mark A. Anastasio.
<b>Dynamic reconstruction of three-dimensional photoacoustic
tomography from few projections</b>.
In Alexander A. Oraevsky and Lihong V. Wang, editors, <em>Photons
Plus Ultrasound: Imaging and Sensing 2021</em>, volume 11642. International
Society for Optics and Photonics, SPIE, 2021.
[ <a href="uvilla_bib.html#WangVillaThompsonEtAl21">bib</a> |
<a href="http://dx.doi.org/10.1117/12.2585344">DOI</a> |
<a href="https://doi.org/10.1117/12.2585344">http</a> ]
</p>
<p><a id="KuoGranstedtVillaEtAl21a"></a>
Joseph Kuo, Jason Granstedt, Umberto Villa, and Mark A. Anastasio.
<b>Learning a projection operator onto the null space of a linear
imaging operator</b>.
In Hilde Bosmans, Wei Zhao, and Lifeng Yu, editors, <em>Medical
Imaging 2021: Physics of Medical Imaging</em>, volume 11595, pages 1019 -- 1025.
International Society for Optics and Photonics, SPIE, 2021.
[ <a href="uvilla_bib.html#KuoGranstedtVillaEtAl21a">bib</a> |
<a href="http://dx.doi.org/10.1117/12.2582263">DOI</a> |
<a href="https://doi.org/10.1117/12.2582263">http</a> ]
</p>
<p><a id="ParkVillaBrooksEtAl21"></a>
Seonyeong Park, Umberto Villa, Frank J. Brooks, Richard Su, Alexander A.
Oraevsky, and Mark A. Anastasio.
<b>Three-dimensional quantitative functional optoacoustic
tomography to estimate vascular blood oxygenation of the breast</b>.
In Alexander A. Oraevsky and Lihong V. Wang, editors, <em>Photons
Plus Ultrasound: Imaging and Sensing 2021</em>, volume 11642. International
Society for Optics and Photonics, SPIE, 2021.
[ <a href="uvilla_bib.html#ParkVillaBrooksEtAl21">bib</a> |
<a href="http://dx.doi.org/10.1117/12.2585341">DOI</a> |
<a href="https://doi.org/10.1117/12.2585341">http</a> ]
</p>
<p><a id="GeVillaKamilovEtAl20"></a>
T. Ge, U. Villa, U. S. Kamilov, and J. A. O’Sullivan.
<b>Proximal Newton Methods for X-Ray Imaging with Non-Smooth
Regularization</b>.
In <em>Proc Electronic Imaging</em>. Society for Imaging Science and
Technology, 2020.
[ <a href="uvilla_bib.html#GeVillaKamilovEtAl20">bib</a> |
<a href="http://dx.doi.org/10.2352/ISSN.2470-1173.2020.14.COIMG-007">DOI</a> |
<a href="https://arxiv.org/abs/1912.01738">http</a> ]
</p>
<p><a id="ParkVillaSuEtAl20"></a>
Seonyeong Park, Umberto Villa, Richard Su, Alexander Oraevsky, Frank J. Brooks,
and Mark A. Anastasio.
<b>Realistic three-dimensional optoacoustic tomography imaging
trials using the VICTRE breast phantom of FDA (Conference Presentation)</b>.
In Alexander A. Oraevsky and Lihong V. Wang, editors, <em>Photons
Plus Ultrasound: Imaging and Sensing 2020</em>, volume 11240. International
Society for Optics and Photonics, SPIE, 2020.
[ <a href="uvilla_bib.html#ParkVillaSuEtAl20">bib</a> |
<a href="http://dx.doi.org/10.1117/12.2552380">DOI</a> |
<a href="https://doi.org/10.1117/12.2552380">http</a> ]
<blockquote><font size="-1">
Keywords: Optoacoustic tomography, Photoacoustic computed tomography, Imaging trials, Breast imaging, Breast phantom
</font></blockquote>
</p><h2>Inverse Problems and Uncertainty Quantification</h2>
<p><a id="KimVillaParnoEtAl23"></a>
Ki-Tae Kim, Umberto Villa, Matthew Parno, Youssef Marzouk, Omar Ghattas, and
Noemi Petra.
<b>hIPPYlib-MUQ: A Bayesian Inference Software Framework for
Integration of Data with Complex Predictive Models under Uncertainty</b>.
<em>ACM Trans. Math. Softw.</em>, 2023.
[ <a href="uvilla_bib.html#KimVillaParnoEtAl23">bib</a> |
<a href="https://arxiv.org/abs/2112.00713">http</a> ]
</p>
<p><a id="OLearyVillaChenEtAl21"></a>
T. O'Leary-Roseberry, U. Villa, P. Chen, and O. Ghattas.
<b>Derivative-Informed Projected Neural Networks for
High-Dimensional Parametric Maps Governed by PDEs</b>.
<em>Computer Methods in Applied Mechanics and Engineering</em>,
388:114199, 2022.
[ <a href="uvilla_bib.html#OLearyVillaChenEtAl21">bib</a> |
<a href="https://doi.org/10.1016/j.cma.2021.114199">DOI</a> |
<a href="https://arxiv.org/abs/2011.15110">http</a> ]
</p>
<p><a id="TanMalekiAnEtAl22"></a>
Jingye Tan, Pedram Maleki, Lu An, Massimigliano Di Luigi, Umberto Villa, Chi
Zhou, Shenqiang Ren, and Danial Faghihi.
<b>A Predictive Multiphase Model of Silica Aerogels for Building
Envelope Insulations</b>.
<em>Computational Mechanics</em>, 69:1457--1479, 2022.
[ <a href="uvilla_bib.html#TanMalekiAnEtAl22">bib</a> |
<a href="https://arxiv.org/abs/2107.12182">http</a> ]
</p>
<p><a id="PuelKhattatovVillaEtAl22"></a>
Simone Puel, Eldar Khattatov, Umberto Villa, Dunyu Liu, Omar Ghattas, and
Thorsten W Becker.
<b>A Mixed, Unified Forward/Inverse Framework for Earthquake
Problems: Fault Implementation and Coseismic Slip Estimate</b>.
<em>Geophysical Journal International</em>, 230:733--758, 2022.
[ <a href="uvilla_bib.html#PuelKhattatovVillaEtAl22">bib</a> |
<a href="https://doi.org/10.31223/X5262V">http</a> ]
</p>
<p><a id="LeeBuiVillaEtAl22"></a>
Jeonghun J Lee, Tan Bui-Thanh, Umberto Villa, and Omar Ghattas.
<b>Forward and inverse modeling of fault transmissibility in
subsurface flows</b>.
<em>Computers & Mathematics with Applications</em>, 128:354--367, 2022.
[ <a href="uvilla_bib.html#LeeBuiVillaEtAl22">bib</a> ]
</p>
<p><a id="OLearyChenVillaEtAl22"></a>
Thomas O'Leary-Roseberry, Peng Chen, Umberto Villa, and Omar Ghattas.
<b>Derivate Informed Neural Operator: An Efficient Framework for
High-Dimensional Parametric Derivative Learning</b>.
<em>arXiv preprint arXiv:2206.10745</em>, 2022.
[ <a href="uvilla_bib.html#OLearyChenVillaEtAl22">bib</a> ]
</p>
<p><a id="BaoshanLozenskiHormuthEtAl22"></a>
Baoshan Liang, Jingye Tan, Luke Lozenski, David A Hormuth II, Thomas E
Yankeelov, Umberto Villa, and Danial Faghihi.
<b>Bayesian Inference of Tissue Heterogeneity for Individualized
Prediction of Glioma Growth</b>.
<em>arXiv preprint arXiv:2209.12089</em>, 2022.
[ <a href="uvilla_bib.html#BaoshanLozenskiHormuthEtAl22">bib</a> ]
</p>
<p><a id="VillaPetraGhattas21"></a>
U. Villa, N. Petra, and O. Ghattas.
<b>hIPPYlib: An Extensible Software Framework for Large-Scale
Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and
Linearized Bayesian Inference</b>.
<em>ACM Trans. Math. Softw.</em>, 47(2), April 2021.
[ <a href="uvilla_bib.html#VillaPetraGhattas21">bib</a> |
<a href="http://dx.doi.org/10.1145/3428447">DOI</a> |
<a href="https://arxiv.org/abs/1909.03948">http</a> ]
</p>
<p><a id="FaghihiTanVillaEtAl21"></a>
D. Faghihi, J. Tan, U. Villa, N. Shamsaei, S. Shao, and H. Zbib.
<b>A Predictive Discrete-Continuum Multiscale Model of Plasticity
With Quantified Uncertainty</b>.
<em>International Journal of Plasticity</em>, 138:102935, 2021.
[ <a href="uvilla_bib.html#FaghihiTanVillaEtAl21">bib</a> |
<a href="https://doi.org/10.1016/j.ijplas.2021.102935">DOI</a> |
<a href="https://arxiv.org/pdf/2012.10823">http</a> ]
</p>
<p><a id="BabaniyiNicholsonVilla21"></a>
O. Babaniyi, R. Nicholson, U. Villa, and N. Petra.
<b>Inferring the basal sliding coefficient field for the Stokes ice
sheet model under rheological uncertainty</b>.
<em>The Cryosphere</em>, 15(4):1731--1750, 2021.
[ <a href="uvilla_bib.html#BabaniyiNicholsonVilla21">bib</a> |
<a href="http://dx.doi.org/10.5194/tc-15-1731-2021">DOI</a> |
<a href="https://tc.copernicus.org/articles/15/1731/2021/">http</a> ]
</p>
<p><a id="AlghamdiHesseChenEtAl21"></a>
A Alghamdi, M. Hesse, J. Chen, U. Villa, and O. Ghattas.
<b>Bayesian Poroelastic Aquifer Characterization from InSAR
Surface Deformation Data Part II: Quantifying the Uncertainty</b>.
<em>Water Resources Research</em>, 57(11):e2021WR029775, 2021.
[ <a href="uvilla_bib.html#AlghamdiHesseChenEtAl21">bib</a> |
<a href="http://dx.doi.org/10.1029/2021WR029775">DOI</a> ]
</p>
<p><a id="LozenskiVilla21"></a>
Luke Lozenski and Umberto Villa.
<b>Consensus ADMM for Inverse Problems Governed by Multiple PDE
Models</b>.
<em>arXiv preprint arXiv:2104.13899</em>, 2021.
[ <a href="uvilla_bib.html#LozenskiVilla21">bib</a> ]
</p>
<p><a id="ChenVillaGhattas19"></a>
P. Chen, U. Villa, and O. Ghattas.
<b>Taylor approximation and variance reduction for
PDE-constrained optimal control under uncertainty</b>.
<em>Journal of Computational Physics</em>, 385:163--186, 2019.
[ <a href="uvilla_bib.html#ChenVillaGhattas19">bib</a> |
<a href="http://dx.doi.org/10.1016/j.jcp.2019.01.047">DOI</a> |
<a href="https://arxiv.org/pdf/1804.04301.pdf">.pdf</a> ]
</p>
<p><a id="KramerMarquesPeherstorferEtAl19"></a>
B. Kramer, A. N. Marques, B. Peherstorfer, U. Villa, and K. Willcox.
<b>Multifidelity probability estimation via fusion of estimators</b>.
<em>Journal of Computational Physics</em>, 392:385--402, 2019.
[ <a href="uvilla_bib.html#KramerMarquesPeherstorferEtAl19">bib</a> |
<a href="http://dx.doi.org/10.1016/j.jcp.2019.04.071">DOI</a> |
<a href="http://web.mit.edu/bokramer/www/img/pubs/KramerMarquesPeherstorferVillaWillcox17-fusedIS-TR.pdf">.pdf</a> ]
</p>
<p><a id="ChenVillaGhattas18"></a>
P. Chen, U. Villa, and O. Ghattas.
<b>Taylor approximation for PDE-constrained optimization under
uncertainty: Application to turbulent jet flow</b>.
In <em>Proceedings in Applied Mathematics and Mechanics - 89th GAMM
Annual Meeting</em>, volume 18, page e201800466, 2018.
[ <a href="uvilla_bib.html#ChenVillaGhattas18">bib</a> |
<a href="http://dx.doi.org/10.1002/pamm.201800466">DOI</a> ]
</p>
<p><a id="VillaPetraGhattas18"></a>
U. Villa, N. Petra, and O. Ghattas.
<b>hIPPYlib: an Extensible Software Framework for Large-scale
Deterministic and Bayesian Inverse Problems</b>.
<em>Journal of Open Source Software</em>, 3(30):940, 2018.
[ <a href="uvilla_bib.html#VillaPetraGhattas18">bib</a> |
<a href="http://dx.doi.org/10.21105/joss.00940">DOI</a> ]
</p>
<p><a id="AlgerVillaBuiEtAl17"></a>
N. Alger, U. Villa, T. Bui-Thanh, and O. Ghattas.
<b>A data scalable augmented Lagrangian KKT preconditioner for
large scale inverse problems</b>.
<em>SIAM Journal on Scientific Computing</em>, 39(5):A2365--A2393, 2017.
[ <a href="uvilla_bib.html#AlgerVillaBuiEtAl17">bib</a> |
<a href="http://dx.doi.org/10.1137/16M1084365">DOI</a> |
<a href="http://arxiv.org/abs/1607.03556">arXiv</a> ]
</p>
<p><a id="ChenVillaGhattas17"></a>
P. Chen, U. Villa, and O. Ghattas.
<b>Hessian-based adaptive sparse quadrature for
infinite-dimensional Bayesian inverse problems</b>.
<em>Computer Methods in Applied Mechanics and Engineering</em>,
327:147--172, 2017.
[ <a href="uvilla_bib.html#ChenVillaGhattas17">bib</a> |
<a href="https://doi.org/10.1016/j.cma.2017.08.016">DOI</a> |
<a href="http://arxiv.org/abs/1706.06692">arXiv</a> ]
</p><h2>Algebraic Multigrid and Upscaling</h2>
<p><a id="KalchevVassilevskiVilla23"></a>
Delyan Z Kalchev, Panayot S Vassilevski, and Umberto Villa.
<b>Parallel Element-based Algebraic Multigrid for H(curl) and
H(div) Problems Using the ParELAG Library</b>.
<em>SIAM Journal on Scientific Computing</em>, 2023.
[ <a href="uvilla_bib.html#KalchevVassilevskiVilla23">bib</a> |
<a href="https://arxiv.org/abs/2107.05613">http</a> ]
</p>
<p><a id="FairbanksVillaVassilevski21"></a>
H. R. Fairbanks, U. Villa, and P. S. Vassilevski.
<b>Multilevel Hierarchical Decomposition of Finite Element White
Noise with Application to Multilevel Markov Chain Monte Carlo</b>.
<em>SIAM Journal on Scientific Computing</em>, 43(5):S293--S316, 2021.
[ <a href="uvilla_bib.html#FairbanksVillaVassilevski21">bib</a> |
<a href="http://dx.doi.org/10.1137/20M1349606">DOI</a> |
<a href="https://arxiv.org/abs/2007.14440">http</a> ]
</p>
<p><a id="ChristensenVassilevskiVilla17"></a>
M. Christensen, P. S. Vassilevski, and U. Villa.
<b>Nonlinear Multigrid solvers exploiting AMGe coarse spaces with
approximation properties</b>.
<em>Journal of Computational and Applied Mathematics</em>, 340:691 --
708, 2018.
[ <a href="uvilla_bib.html#ChristensenVassilevskiVilla17">bib</a> |
<a href="https://doi.org/10.1016/j.cam.2017.10.029">DOI</a> ]
</p>
<p><a id="OsbornZulianBensonEtAl18"></a>
S. Osborn, P. Zulian, T. Benson, U. Villa, R. Krause, and P. Vassilevski.
<b>Scalable hierarchical PDE sampler for generating spatially
correlated random fields using non-matching meshes</b>.
<em>Numerical Linear Algebra with Applications</em>, 25(3):e2146, 2018.
[ <a href="uvilla_bib.html#OsbornZulianBensonEtAl18">bib</a> |
<a href="http://dx.doi.org/10.1002/nla.2146">DOI</a> |
<a href="http://arxiv.org/abs/1712.06758">arXiv</a> ]
</p>
<p><a id="NeumuellerVassilevskiVilla17"></a>
M. Neumüller, P. S. Vassilevski, and U. Villa.
<em>Space-time constrained First Order Systems Least Squares
(CFOSLS) with AMGe upscaling</em>, pages 253--260.
Springer, 2017.
[ <a href="uvilla_bib.html#NeumuellerVassilevskiVilla17">bib</a> |
<a href="http://dx.doi.org/10.1007/978-3-319-52389-7_25">DOI</a> |
<a href="https://e-reports-ext.llnl.gov/pdf/807942.pdf">.pdf</a> ]
</p>
<p><a id="ChristensenVillaEngsigEtAl17"></a>
M. Christensen, U. Villa, A. Engsig-Karup, and P. S. Vassilevski.
<b>Numerical upscaling for incompressible flow in reservoir
simulation: an element-based algebraic multigrid (AMGe) approach</b>.
<em>SIAM Journal on Scientific Computing</em>, 39(1):B102--B137, 2017.
[ <a href="uvilla_bib.html#ChristensenVillaEngsigEtAl17">bib</a> |
<a href="https://doi.org/10.1137/140988991">DOI</a> ]
</p>
<p><a id="OsbornVassilevskiVilla17"></a>
S. Osborn, P. S. Vassilevski, and U. Villa.
<b>A Multilevel Hierarchical Sampling Technique for Spatially
Correlated Random Fields</b>.
<em>SIAM Journal on Scientific Computing</em>, 39(5):S543--S562, 2017.
[ <a href="uvilla_bib.html#OsbornVassilevskiVilla17">bib</a> |
<a href="http://dx.doi.org/10.1137/16M1082688">DOI</a> |
<a href="http://arxiv.org/abs/1703.08498">arXiv</a> ]
</p>
<p><a id="KalchevLeeVillaEtAl16"></a>
D. Kalchev, C. S. Lee, U. Villa, Y. Efendiev, and P. S. Vassilevski.
<b>Upscaling of mixed finite element discretization problems by
the spectral AMGe method</b>.
<em>SIAM Journal on Scientific Computing</em>, 38(5):A2912--A2933, 2016.
[ <a href="uvilla_bib.html#KalchevLeeVillaEtAl16">bib</a> |
<a href="http://dx.doi.org/10.1137/15M1036683">DOI</a> |
<a href="https://e-reports-ext.llnl.gov/pdf/799767.pdf">.pdf</a> ]
</p>
<p><a id="ChristensenVillaVassileski15"></a>
M. Christensen, U. Villa, and P. S. Vassilevski.
<b>Multilevel techniques lead to accurate numerical upscaling and
scalable robust solvers for reservoir simulation</b>.
In <em>SPE Reservoir Simulation Symposium</em>. Society of Petroleum
Engineers, 2015.
23-25 February, Houston, Texas, USA, SPE-173257-MS.
[ <a href="uvilla_bib.html#ChristensenVillaVassileski15">bib</a> |
<a href="https://www.onepetro.org/conference-paper/SPE-173257-MS">http</a> ]
</p>
<p><a id="VassilevskiVilla14"></a>
P. S. Vassilevski and U. Villa.
<b>A mixed formulation for the Brinkman problem</b>.
<em>SIAM Journal on Numerical Analysis</em>, 52(1):258--281, 2014.
[ <a href="uvilla_bib.html#VassilevskiVilla14">bib</a> |
<a href="http://epubs.siam.org/doi/abs/10.1137/120884109">DOI</a> |
<a href="https://e-reports-ext.llnl.gov/pdf/625743.pdf">.pdf</a> ]
</p>
<p><a id="VassilevskiVilla13"></a>
P. S. Vassilevski and U. Villa.
<b>A block-diagonal algebraic multigrid preconditioner for the
Brinkman problem</b>.
<em>SIAM Journal on Scientific Computing</em>, 35(5):S3--S17, 2013.
[ <a href="uvilla_bib.html#VassilevskiVilla13">bib</a> |
<a href="http://epubs.siam.org/doi/abs/10.1137/120882846">DOI</a> |
<a href="https://e-reports-ext.llnl.gov/pdf/625849.pdf">.pdf</a> ]
</p><h2>Computational Fluid-Dynamics and Cloud Computing</h2>
<p><a id="VillaMarques17"></a>
U. Villa and A. N. Marques.
<b>An UQ-ready finite element solver for a two-dimensional RANS
model of free plane jets</b>, 2017.
[ <a href="uvilla_bib.html#VillaMarques17">bib</a> |
<a href="http://arxiv.org/abs/1712.01786">arXiv</a> |
<a href="https://arxiv.org/pdf/1712.01786.pdf">.pdf</a> ]
</p>
<p><a id="GuzzettiPasseriniSlawinskiVillaEtAl16"></a>
S. Guzzetti, T. Passerini, J. Slawinski, U. Villa, A. Veneziani, and
V. Sunderam.
<b>Platform and algorithm effects on computational fluid dynamics
applications in life sciences</b>.
<em>Future Generation Computer Systems</em>, 67:382 -- 396, 2017.
[ <a href="uvilla_bib.html#GuzzettiPasseriniSlawinskiVillaEtAl16">bib</a> |
<a href="http://dx.doi.org/10.1016/j.future.2016.03.024">DOI</a> |
<a href="http://www.mathcs.emory.edu/technical-reports/techrep-00272.pdf">.pdf</a> ]
</p>
<p><a id="PasseriniSlawinskiVillaEtAl14"></a>
T. Passerini, J. Slawinski, U. Villa, and V. Sunderam.
<b>Experiences with Cost and Utility Trade-offs on IaaS
Clouds, Grids, and On-Premise Resources</b>.
In <em>Proc. IEEE Intl. Conference on Cloud Engineering (IC2E) -
Cloud Analytics Workshop</em>, pages 391--396. IEEE, 2014.
[ <a href="uvilla_bib.html#PasseriniSlawinskiVillaEtAl14">bib</a> |
<a href="http://dx.doi.org/10.1109/IC2E.2014.51">DOI</a> ]
</p>
<p><a id="SlawinskiVillaPasseriniEtAl13"></a>
J. Slawinski, U. Villa, T. Passerini, A. Veneziani, and V. Sunderam.
<b>Issues in Communication Heterogeneity for
Message-Passing Concurrent Computing</b>.
In <em>27th IEEE Intl. Parallel and Distributed Processing Symposium
Workshops & PhD Forum (IPDPSW)</em>, pages 93--102. IEEE, 2013.
[ <a href="uvilla_bib.html#SlawinskiVillaPasseriniEtAl13">bib</a> |
<a href="http://dx.doi.org/10.1109/IPDPSW.2013.140">DOI</a> ]
</p>
<p><a id="VenezianiVilla13"></a>
A. Veneziani and U. Villa.
<b>ALADINS: An ALgebraic splitting time ADaptive solver for the
Incompressible Navier--Stokes equations</b>.
<em>Journal of Computational Physics</em>, 238:359--375, 2013.
[ <a href="uvilla_bib.html#VenezianiVilla13">bib</a> |
<a href="http://www.sciencedirect.com/science/article/pii/S0021999112007310">http</a> ]
</p>
<p><a id="PasseriniQuainiVillaEtAl13"></a>
T. Passerini, A. Quaini, U. Villa, A. Veneziani, and S. Canic.
<b>Validation of an open source framework for the simulation of
blood flow in rigid and deformable vessels</b>.
<em>Int. J. Numerical Methods in Biomedical Engineering</em>,
29(11):1192--1213, 2013.
[ <a href="uvilla_bib.html#PasseriniQuainiVillaEtAl13">bib</a> |
<a href="http://onlinelibrary.wiley.com/doi/10.1002/cnm.2568/full">DOI</a> |
<a href="http://www.mathcs.emory.edu/technical-reports/techrep-00246.pdf">.pdf</a> ]
</p>
<p><a id="DesmondVillaNeweyEtAl13"></a>
K. W. Desmond, U. Villa, M. Newey, and W. Losert.
<b>Characterizing the rheology of fluidized granular matter</b>.
<em>Physical Review E</em>, 88(3):032202, 2013.
[ <a href="uvilla_bib.html#DesmondVillaNeweyEtAl13">bib</a> |
<a href="http://arxiv.org/abs/1107.0357">arXiv</a> |
<a href="http://journals.aps.org/pre/abstract/10.1103/PhysRevE.88.032202">http</a> ]
</p>
<p><a id="VillaPhD12"></a>
U. Villa.
<em>Scalable Efficient Methods for Incompressible
Fluid-dynamics in Engineering Problems</em>.
PhD thesis, Emory University, Atlanta, GA, 2012.
Advisor: A. Veneziani.
[ <a href="uvilla_bib.html#VillaPhD12">bib</a> |
<a href="https://etd.library.emory.edu/view/record/pid/emory:cqthc">http</a> ]
</p>
<p><a id="SlawinskiVillaPasseriniEtAl12"></a>
J. Slawinski, U. Villa, T. Passerini, A. Veneziani, and V. Sunderam.
<b>Experiences with Target-Platform Heterogeneity in
Clouds, Grids, and On-Premises Resources</b>.
In <em>26th IEEE Intl. Parallel and Distributed Processing Symposium
Workshops & PhD Forum (IPDPSW)</em>, pages 41--52. IEEE, 2012.
[ <a href="uvilla_bib.html#SlawinskiVillaPasseriniEtAl12">bib</a> |
<a href="http://dx.doi.org/10.1109/IPDPSW.2012.20">DOI</a> |
<a href="http://www.mathcs.emory.edu/technical-reports/techrep-00230.pdf">.pdf</a> ]
</p>
<p><a id="VillaMS07"></a>
U. Villa.
<b>Finite Element Analysis of the Brake Pad System and
Multibody Modeling of Motor Vehicles in Braking-Phase</b>.
Master's thesis, Politecnico di Milano, Milan, Italy, 2007.
Advisor: A. Veneziani; Committee: L. Trainelli, A. Vigliani.
[ <a href="uvilla_bib.html#VillaMS07">bib</a> |
<a href="http://www.mate.polimi.it/biblioteca/?pp=fulltext2&qid=4&L=e&file=tsi119.pdf">.pdf</a> ]
</p>
<p><a id="VillaBS05"></a>
S. Vele and U. Villa.
<b>Mathematical modeling and numerical simulation of hemodynamics
problems in one dimension</b>.
Bachelor's thesis, Politecnico di Milano, Milan, Italy, 2005.
Advisor: A. Veneziani.
[ <a href="uvilla_bib.html#VillaBS05">bib</a> |
<a href="http://www.mate.polimi.it/biblioteca/?pp=fulltext2&qid=4&L=e&file=tsi12.pdf">.pdf</a> ]
</p><h2>Data Science for Public Health</h2>
<p><a id="LanzaAlcazarDurandEtAl22"></a>
Kevin Lanza, Melody Alcazar, Casey P Durand, Deborah Salvo, Umberto Villa, and
Harold W Kohl.
<b>Heat-Resilient Schoolyards: Relations Between Temperature,
Shade, and Physical Activity of Children During Recess</b>.
<em>Journal of Physical Activity and Health</em>, 1(aop):1--8, 2022.
[ <a href="uvilla_bib.html#LanzaAlcazarDurandEtAl22">bib</a> ]
</p>
<p><a id="JaureguiSalvoGarciaEtAl19"></a>
A. Jáuregui, D. Salvo, A. García-Olvera, U. Villa, M. M. Téllez-Rojo,
L. M. Schnaas, K. Svensson, E. Oken, R. O. Wright, A. A. Baccarelli, and
A. Cantoral.
<b>Physical activity, sedentary time and cardiometabolic health
indicators among Mexican children</b>.
<em>Clinical Obesity</em>, page e12346, 2019.
[ <a href="uvilla_bib.html#JaureguiSalvoGarciaEtAl19">bib</a> |
<a href="http://dx.doi.org/10.1111/cob.12346">DOI</a> |
<a href="https://onlinelibrary.wiley.com/doi/abs/10.1111/cob.12346">http</a> ]
</p>
<p><a id="SalvoTorresVillaEtAl15"></a>
D. Salvo, C. Torres, U. Villa, J. A. Rivera, O. L. Sarmiento, R. S. Reis, and
M. Pratt.
<b>Accelerometer-based physical activity levels among Mexican
adults and their relation with sociodemographic characteristics and BMI: a
cross-sectional study</b>.
<em>Int. J. Behavioral Nutrition and Physical Activity</em>,
12(79):1--11, 2015.
[ <a href="uvilla_bib.html#SalvoTorresVillaEtAl15">bib</a> |
<a href="https://ijbnpa.biomedcentral.com/articles/10.1186/s12966-015-0243-z">http</a> ]
</p>