Publication

**Summary: **(click each one with
hyperlink)

84 Published or Accepted Referred Journal Papers

24 Conference Proceeding Papers

*Parallel High-Order
Methods for Deterministic and Stochastic CFD and MHD Problems*, Advisor: George Em Karniadakis, Brown
University, 2007.

**G.
Lin**, G. Karniadakis, **Stochastic Systems** Chapter in **Encyclopedia
of Applied and Computational Mathematics, **ed. Bjorn Engquist, Springer,
New York, 2015.

**G.
Lin**, **Big Data Application in Power Grid Systems** chapter in **CRC
Handbook on Big Data**, CRC Press, Taylor & Francis Group, 2016

**84
Published or Accepted Journal Papers and 13 Submitted Journal Papers:**

**(1) 84 Published or Accepted
Journal Papers**

**2004**

[P1]
**G. Lin**, C.-H. Su and G.E. Karniadakis, The stochastic piston problem, Proceedings of
the National Academy of Sciences of the United States of America,
101(45):15840-15845, 2004. PDF

**2006**

[P2]
**G. Lin**, C.-H. Su and G.E. Karniadakis, Predicting shock dynamics in the presence of
uncertainties, Journal of Computational Physics, special issue in
stochastic uncertainty prediction, 217(1) 260-276, 2006. PDF

[P3]
**G. Lin** and G.E. Karniadakis, A discontinuous Galerkin method for
two-temperature plasmas, Computer Methods in Applied Mechanics and
Engineering, special issue in Discontinuous Galerkin Methods. 195(25-28):
3504-3527, 2006. PDF

[P4]
**G. Lin** and L. Grinberg and G.E. Karniadakis, Numerical studies of the stochastic Korteweg-de
Vries equation, Journal of Computational Physics, 213(2): 676-703, 2006. PDF

**2007**

[P5]
**G. Lin**, C.-H. Su and G.E. Karniadakis, Random Roughness Enhances Lift in Supersonic Flow,
Physical Review Letters, 99:104501, 2007.
PDF

[P6]
**G. Lin**, X. Wan, C.-H. Su and G.E. Karniadakis, Stochastic computational fluid mechanics, IEEE
Computing in Science and Engineering (CiSE), 9:21-29, 2007. PDF

**2008**

[P7]
**G. Lin**, C.-H. Su and G.E. Karniadakis, Stochastic modeling of random roughness in shock
scattering problems: Theory and simulations, Comput. Methods Appl. Math.
Eng., 197(43-44): 3420-3434, 2008. PDF

**2009**

[P8]
Z. Xu and **G Lin**. Hierarchical reconstruction for spectral/hp element
methods for solving hyperbolic conservation laws, Acta Mathematica
Scientia, 29(6): 1737-1748, 2009. PDF

[P9]
W. Wu,
**G. Lin**, Basic
function scheme of polynomial type, Applied Mathematics and Mechanics,
30(9): 1091–1103, 2009. PDF

[P10]
**G. Lin** and G.E. Karniadakis, Sensitivity
Analysis and Stochastic Simulations of Non-equilibrium Plasma Flow,
International Journal for Numerical Methods in Engineering,
80(6-7): 738 – 766, 2009. PDF

[P11]
**G. Lin*** and A. M. Tartakovsky, An
efficient, high-order probabilistic collocation method on sparse grids for
three-dimensional flow and solute transport in randomly heterogeneous porous
media, Advances in Water Resources, 32(5):
712-722, 2009. PDF

**2010**

[P12]
**G. Lin*** and A. M. Tartakovsky, Numerical studies of three-dimensional stochastic
Darcy's equation and stochastic advection-diffusion-dispersion equation,
Journal of Scientific Computing, 43(1): 92-117, 2010. PDF

[P13]
**G. Lin***, D. M. Tartakovsky, and A. M. Tartakovsky,
Uncertainty quantification via random domain
decomposition and probabilistic collocation on sparse grids, Journal of
Computational Physics, 229(19): 6995-7012, 2010. PDF

**2011**

[P14]
D.
Mei, **G. Lin**. Effects of heat and mass transfer on the reaction
kinetics of CO oxidation on the RuO2(110) catalyst, Catalysis Today, 165:
56-63, 2011. PDF

[P15]
Z. Xu, Y. Liu, H. Du, **G.
Lin**, and CW. Shu, Point-wise Hierarchical
Reconstruction for Discontinuous Galerkin and Finite Volume Methods for Solving
Conservation Laws, Journal of Computational Physics, 230 (17): 6843-6865,
2011. PDF

**2012**

[P16]
X.
Yang, M. Choi, **G. Lin**, G.E.
Karniadakis, Adaptive ANOVA Decomposition of
Incompressible and Compressible Flows, Journal of Computational Physics, 231(4): 1587–1614, 2012. PDF

[P17]
A.
Balter, **G. Lin**, and A.M.
Tartakovsky, The Effect of Nonlinearity in Hybrid
Kinetic Monte Carlo-Continuum models, Physical Review E, 85: 016707, 2012. PDF

[P18]
B. Yang, Y. Qian, **G. Lin**, R. Leung, Y. Zhang, Some issues
in uncertainty quantification and parameter tuning: a case study of convective
parameterization scheme in the WRF regional climate model, Atmospheric
Chemistry and Physics, 12(5): 2409-2427, 2012. PDF

[P19]
Z.
Hou, M Huang, LYR Leung, **G. Lin**, and
DM Ricciuto, Sensitivity
of Surface Flux Simulations to Hydrologic Parameters Based on an Uncertainty
Quantification Framework Applied to the Community Land Model, Journal of
Geophysical Research. D. (Atmospheres), 117(D15):
D15108, 2012*. *PDF

**2013**

[P20]
I. Bright, **G. Lin**, N.
Kutz, Compressive Sensing Based Machine Learning
Strategy for Characterizing the Flow around a Cylinder with Limited Pressure
Measurements, Physics of Fluids, 25: 127102, 2013. PDF

[P21]
Yang B, Y Qian, **G Lin**,
LYR Leung, PJ Rasch, GJ Zhang, SA McFarlane, C Zhao, Y Zhang, H Wang, M Wang,
and X Liu, Uncertainty Quantification and
Parameter Tuning in the CAM5 Zhang-McFarlane Convection Scheme and Physical
Impact of Improved Convection on the Global Circulation and Climate,
Journal of Geophysical Research. D. (Atmospheres), 118: 395-415, 2013. PDF

[P22]
Bilionis
I, N. Zabaras, B Konomi, and **G Lin**.
Multi-output separable Gaussian process: Towards
an efficient, fully Bayesian paradigm for uncertainty quantification,
Journal of Computational Physics, 241: 212-239, 2013. PDF

[P23]
X.
Shi, **G. Lin***, J. Zhou, D. Fedosov, A Lattice
Boltzmann Fictitious Domain Method for Modeling Red Blood Cell Deformation and
Multiple-Cell Hydrodynamic Interaction in Flow, International Journal for
Numerical Methods in fluids, 72 (8): 895-911, 2013. PDF

[P24]
Z.
Zhang, X. Yang, **G. Lin**, G.
Karniadakis, Numerical solution of the
Stratonovich- and Ito-Euler equations: Application to the stochastic piston
problem, Journal of Computational Physics, 236: 15-27, 2013. PDF

[P25]
K.
Hui, **G Lin***, W Pan, Understanding the Mechanisms of Sickle Cell Disease
by Simulations with a Discrete Particle Model, Computational Science &
Discovery, 6(1): 015004, 2013. PDF

[P26]
Ryu
S, **G Lin**, X Sun, MA Khaleel,
and D Li, Adaptive
Multiple Super Fast Simulated Annealing for Stochastic Image Reconstruction,
International Journal of Theoretical and Applied Multiscale Mechanics, 2(4):
287-297, 2013. PDF

[P27]
J. Bao, Z. Xu, **G. Lin**,
Y. Fang, Evaluating the impact of aquifer layer
properties on geo-mechanical response during CO2 geological sequestration,
Computers & Geosciences, 54: 28-37, 2013. PDF

[P28]
Z.
Hou, DW Engel, **G Lin**, Y Fang, and Z
Fang, An Uncertainty Quantification Framework for
Studying the Effect of Spatial Heterogeneity in Reservoir Permeability on CO2
Sequestration, Mathematical Geosciences, 45(7): 799-817, 2013. PDF

[P29]
X. Wan, **G.
Lin**, Hybrid parallel computing of minimum
action method, Parallel Computing, 39: 638-651, 2013. PDF

[P30]
J. Bao, Z. Hou, Y. Fang, H. Ren, **G. Lin**, Uncertainty quantification
for evaluating impacts of caprock and reservoir properties on geomechanical
responses during geologic CO2 sequestration, Greenhouse Gases: Science and
Technology, 3(5): 338-358, 2013. PDF

[P31]
C. Zhao, X. Liu, Y. Qian, J. Yoon, Z. Hou, **G. Lin**, S. McFarlane, H. Wang, B. Yang, P.-L. Ma, H. Yan, J. Bao, A Sensitivity Study of Radiative Fluxes at the Top
of Atmosphere to Cloud-Microphysics and Aerosol Parameters in the Community
Atmosphere Model CAM5, Atmos. Chem. Phys., 13: 10969-10987, 2013. PDF

**2014**

[P32]
G. Xu, **G. Lin***, J. Liu,
Rare Event Simulation for Stochastic
Korteweg-de Vries Equation, SIAM/ASA Journal on Uncertainty Quantification,
2 (1): 698-716, 2014. PDF

[P33]
Guo Z, M Wang, Y Qian, VE Larson, SJ Ghan, M Ovchinnikov, P
Bogenschutz, C Zhao, **G. Lin**, and T
Zhou, A Sensitivity Analysis of Cloud
Properties to CLUBB Parameters in the Single Column Community Atmosphere Model
(SCAM5), Journal of Advances in Modeling Earth Systems, 6 (3): 829-858, 2014. PDF

[P34]
M. J. Del Razo, W. Pan, H. Qian, **G. Lin**, Fluorescence Correlation
Spectroscopy and Nonlinear Stochastic Reaction-Diffusion, Journal of
Physical Chemistry B, 118 (25): 7037-7046, 2014. PDF

[P35]
**G. Lin***, J. Bao, Z. Xu, A three-dimensional phase field model coupled with
lattice kinetics solver for modeling crystal growth in furnaces with
accelerated crucible rotation and traveling magnetic field, Computers and
Fluids, 103: 204-214, 2014. PDF

[P36]
X. Shi, **G. Lin***, Modeling the Sedimentation of Red Blood Cells in
Flow under Strong External Magnetic Body Force using a Lattice Boltzmann
Fictitious Domain Method, Numer. Math. Theor. Meth. Appl. 72014: 512-523,
2014. PDF

[P37]
**G. Lin***, J. Liu, F. Sadre-Marandi, A comparative study on the weak Galerkin,
discontinuous Galerkin, and mixed finite element methods, Journal of
Computational and Applied Mathematics, 273: 346-362, 2015. PDF

[P38]
Z. Zhang, X. Hu, T.Y. Hou*, **G.
Lin***, P. Yan, An adaptive ANOVA-based
data-driven stochastic method for elliptic PDE with random coefficients,
Communications in Computational Physics, 16: 571-598, 2014. PDF

[P39]
H. Yan, Y. Qian, **G. Lin**,
L.R. Leung, B. Yang, Q. Fu, Parametric Sensitivity
and Calibration for the Kain-Fritsch Convective Parameterization Scheme in the
WRF Model, Climate Research, 59: 135-147, 2014. PDF

[P40]
F. Liang, Y. Cheng, and **G
Lin**, Simulated Stochastic Approximation
Annealing for Global Optimization with a Square-Root Cooling Schedule,
Journal of the American Statistical Association, 109(506): 847-863, 2014. PDF

[P41]
S. Shao, N. Abdolrahim, D. F. Bahr, **G. Lin**, and H.M. Zbib, Stochastic Effects in Plasticity in Small Volumes,
International Journal of Plasticity, 52: 117-132, 2014. PDF

[P42]
Z. Hou, D.W. Engel, D.H. Bacon, **G. Lin**, Y. Fang, H. Ren, Z. Fang, Uncertainty
Analyses of CO2 Plume Expansion subsequent to Wellbore CO2 Leakage into
Aquifers, International Journal of Greenhouse Gas Control, 27:69-80,
2014. PDF

[P43]
**G. Lin***, J. Liu, L. Mu, X. Ye, Weak Galerkin Finite Element Methods for Darcy Flow:
Anisotropy and Heterogeneity, Journal of Computational Physics, 276:
422-437, 2014. PDF

[P44]
W. Li, **G. Lin***, D.
Zhang, An Adaptive-ANOVA-based PCKF for
High-Dimensional Nonlinear Inverse Modeling, Journal of Computational
Physics, 258: 752–772, 2014. PDF

[P45]
D. Meng, Q. Zhang, X. Gao, S. Wu, **G. Lin**, LipidMiner: a software for
automated identification and quantification of lipids from multiple liquid
chromatography-mass spectrometry data files, Rapid Communications in Mass
Spectrometry, 28 (8): 981-985, 2014. PDF

[P46]
D. Meng, B. Zheng, **G. Lin***,
M.L. Sushko, Numerical Solution of 3D
Poisson-Nernst-Planck Equations Coupled with Classical Density Functional
Theory for Modeling Ion and Electron Transport in Confined Environment,
Communications in Computational Physics, 16(5): 1298-1322, 2014. PDF

[P47]
B. Konomi, G. Karagiannis, A. Sarkar, X. Sun, **G. Lin***, Bayesian Treed
Multivariate Gaussian Process with Adaptive Design: Application to a Carbon
Capture Unit, Technometrics, 56(2): 145–158, 2014. PDF

[P48]
G. Karagiannis, **G. Lin***,
Selection of Polynomial Chaos Bases via
Bayesian Model Uncertainty Methods with Applications to Sparse Approximation of
PDEs with Stochastic Inputs, Journal of Computational Physics, 259:
114–134, 2014. PDF

[P49]
**G. Lin***, J. Bao, Z. Xu, A. M. Tartakovsky, and CH Henager,
Jr., A Phase-Field Model Coupled with
Lattice Kinetics Solver for Modeling Crystal Growth in Furnaces,
Communications in Computational Physics, 15(1): 76-92, 2014. PDF

[P50]
Fang Z, Z Hou, **G Lin**,
DW Engel, Y Fang, and PW Eslinger. Exploring
the Effects of Data Quality, Data Worth, and Redundancy of CO2 Saturation Data
on Injection Reservoir Characterization through PEST Inversion,
Environmental Earth Sciences, 71(7): 3025-3037, 2014. PDF

[P51]
**G. Lin***, M. Elizondo, S. Lu, X. Wan, Uncertainty Quantification in Dynamic Simulations
of Large-scale Power System Models using the High-Order Probabilistic
Collocation Method on Sparse Grids, International Journal for Uncertainty
Quantification, 4(3): 185-204, 2014. PDF

[P52]
S.
Wang, S. Lu, N. Zhou, **G. Lin**, M.
Elizondo, M.A. Pai, Dynamic-feature
Extraction, Attribution and Reconstruction (DEAR) Method for Power System Model
Reduction, IEEE Transactions on Power Systems, 99: 1-11, 2014. PDF

[P53]
J.
Wei, **G. Lin***, L. Jiang, Y. Efendiev,
Analysis of Variance-based Mixed
Multiscale Finite Element Method and Applications in Stochastic Two-Phase Flows,
International Journal for Uncertainty Quantification, 4(6): 455-477, 2014. PDF

**2015**

[P54]
Z. Hao, **G. Lin**, Z. Sun,
A high-order difference scheme for the fractional
sub-diffusion equation, International Journal of Computer Mathematics, 16:
1-24, 2015. DOI:10.1080/00207160.2015.1109642 PDF

[P55]
B. Zhang, B. Konomi, H. Sang, G. Karagiannis,** G. Lin***, Full scale
multi-output Gaussian process emulator with nonseparable auto-covariance
functions, Journal of Computational Physics, 300: 623–642, 2015. PDF

[P56]
G. Herschlag, S. Mitran, G. Lin, A
consistent hierarchy of
generalized kinetic equation approximations to
the master equation applied to surface catalysis,
Journal of Chemical Physics, 142: 234703, 2015. PDF

[P57]
E. Sousa, **G. Lin***, U.
Shumlak, Uncertainty Quantification of the
GEM Challenge Magnetic Reconnection Problem using the Multi-level Monte Carlo
Method, International Journal for Uncertainty Quantification, 5(4):
327-339, 2015. PDF

[P58]
B. Konomi, **G. Lin***, Low-Cost Multi-output Gaussian Process with
Application to Uncertainty Quantification, International Journal for
Uncertainty Quantification, 5(4): 375-392, 2015. PDF

[P59]
J. Li, **G. Lin**, X. Yang,
A Frozen Gaussian Approximation-based
Multi-level Particle Swarm Optimization for Seismic Inversion, Journal of
Computational Physics, 296: 58-71, 2015. PDF

[P60]
W. Li and **G. Lin***, Adaptive Importance Sampling
from Multimodal Distributions using Polynomial Chaos Surrogates and Gaussian
Mixture Proposal, Journal of Computational Physics, 294: 173-190, 2015. PDF

[P61]
Bao J, Z Hou, Y Fang, H Ren, and **G. Lin**, Uncertainty quantification
for evaluating the impacts of fracture zone on pressure buildup and ground
surface uplift during geological CO2 sequestration, Greenhouse Gases:
science and technology, 5(3):254-267, 2015. PDF

[P62]
R. N. Ibragimov, **G. Lin**,
Longitudinal Dimensions of Polygon-shaped
Planetary Waves, Journal of Applied Nonlinear Dynamics 4(2): 153-167, 2015.
PDF

[P63]
W. Hao, Z. Xu, C. Liu, **G.
Lin**, A Fictitious Domain Method with a
Hybrid Cell Model for Simulating Motion of Cells in Fluid Flow, Journal of
Computational Physics, 280: 345-362, 2015. PDF

[P64]
G. Karagiannis, B. Konomi, **G.
Lin***, Mixed shrinkage prior
procedure for basis selection and global evaluation of gPC expansions in
Bayesian framework: Applications to elliptic SPDEs, Journal of
Computational Physics, 284: 528-546, 2015. PDF

[P65]
R.N. Ibragimov, **G. Lin**,
Splitting phenomenon of a
higher-order shallow water theory associated with a longitudinal planetary
waves, Dynamics of Atmospheres and Oceans, 69: 1-11, 2015. PDF

[P66]
B. Konomi, G. Karagiannis, **G.
Lin**, On the Bayesian Treed Multivariate
Gaussian Process with Linear Model of Coregionalization, Journal of
Statistical Planning and Inference, 157-158: 1-15, 2015. PDF

**2016**

[P67]
R.J. Leveque, K. Waagan, F.I. Gonzalez, D. Rim, G. Lin, Generating random earthquake events for
probabilistic tsunami hazard assessment, Pure and Applied Geophysics, 1-22,
doi:10.1007/s00024-016-1357-1, 2016. PDF

[P68]
W. Li, **G. Lin***, B. Li, Inverse regression-based uncertainty
quantification algorithms for high-dimensional models in theory and practice,
Journal of Computational Physics, 321:259-278, 2016. PDF

[P69]
A.
Biswas, **G. Lin**, X. Liu, H. Shen, Visualization of
Time-Varying Weather Ensembles Across Multiple Resolutions, IEEE
Transactions on Visualization and Computer Graphics, in press, 2016,
doi:10.1109/TVCG.2016.2598869. PDF

[P70]
J.
Wang, X. Liu, H. Shen, **G. Lin**, Multi-resolution Climate Ensemble parameter
analysis with nested parallel coordinates plots, IEEE Transactions on
Visualization and Computer Graphics, in press, 2016, doi/10.1109/TVCG.2016.2598830.
PDF

[P71]
G. Karagiannis, B. Konomi, F. Liang, **G. Lin**, Parallel and Interacting
Stochastic Approximation Annealing for Global Optimization, *Journal of Computational and Graphical
Statics*, 1-19, doi:*10.1007/s11222-016-9663-0*, 2016. PDF

[P72]
W.
Guo, **G. Lin***, A. J. Christlieb, J.
Qiu, An adaptive WENO collocation
method for differential equations with random coefficients, Mathematics, *4*(2), 29; doi:10.3390/math4020029, 2016. PDF

[P73]
Konomi, B., G. Karagiannis, K. Lai, **G. Lin**, Bayesian treed
Calibration: an application to Carbon capture with AX sorbent, ** Journal
of American Statistical Association**, ISSN: 0162-1459 (Print) 1537-274X
(Online), 2016. DOI: 10.1080/01621459.2016.1190279. PDF

[P74]
Q.
Liao, **G. Lin***, Reduced basis ANOVA method for partial
differential equation with high-dimensional random inputs, Journal of
Computational Physics, 317: 148-164, 2016. PDF

[P75]
Z.
Zhang, X. Yang, **G. Lin***, POD-based constrained sensor placement and
field reconstruction from noisy wind measurement, Mathematics, 4, 26;
doi:10.3390/math4020026, 2016. PDF

[P76]
I.
Bright, **G. Lin**, N. Kutz, Classification of
Spatio-temporal Data via Asynchronous sparse sampling: Application to flow
around a cylinder, SIAM Multiscale modeling and simulation, in press, 2016.
PDF

[P77]
H. Wang, **G. Lin**, J. Li,
Gaussian process surrogates for
failure detection: a Bayesian experimental design approach, Journal of
Computational Physics, 313: 247-259, 2016. PDF

[P78]
Z. Xu, R. Tipireddy, **G. Lin**,
Analytical Approximation and Numerical Studies of
One-dimensional Elliptic Equation with Random Coefficients, Applied
Mathematical Modelling, 2016; DOI:10.1016/j.apm.2015.12.041.
PDF

[P79]
Y.
Sun, P. Sun, B. Zheng, **G. Lin**, Error analysis of finite element method for
Poisson-Nernst-Planck equations, Journal of Computational and Applied
Mathematics, 301: 28-43, 2016. PDF

[P80]
H.
Lei, X. Yang, B. Zheng, **G. Lin**, N.
Baker, Constructing Surrogate Models of
Complex Systems with Enhanced Sparsity: Quantifying the Influence of
Conformational Uncertainty in Biomolecular Solvation, *SIAM Multiscale Modeling and Simulation*, 13(4): 1327-1353, 2016. PDF

[P81]
X.
Yang, H. Lei, N. Baker, **G. Lin***, Enhancing sparsity of Hermite polynomial
expansions by iterative rotations, Journal of Computational Physics, 307:
94-09, 2016. PDF

[P82]
L. Li, Y. Yang, **G. Lin**,
The stabilization of BAM neural networks with
time-varying delays in the leakage terms via sampled-data control, Neural
Computing and Applications, 27(2): 447-457, 2016. PDF

[P83]
V. Ginting, **G. Lin**, J.
Liu, On Application of the Weak Galerkin Finite
Element Method to a Two-phase Model for Subsurface Flow, Journal of
Scientific Computing, 66(1): 225-239, 2016. PDF

2017

[P84]
M.
Wang, **G. Lin**, A. Pothen,
Using automatic differentiation for compressive sensing in uncertainty
quantification, Optimization Methods & Software, 0(0): 1-14, 2017, DOI: 10.1080/10556788.2017.1359267.

[P85]
G. Karagiannis, A. Konomi, **G. Lin***, On the Bayesian calibration of expensive computer models
with input dependent parameters, special
issue in Spatial Statistics journal on Spatio-temporal
and Geostatistical Analysis of Hydrological Events and Related Hazards, Spatial
Statistics, in press, 2017, __https://doi.org/10.1016/j.spasta.2017.08.002__.

[P86]
E.
Hogan, E. Cotilla-Sanchez, M. Halappanavar,
Z. Huang, **G. Lin**, S. Lu, S. Wang,
Comparative Studies of Clustering Techniques for Real-Time Dynamic Model
Reduction, *Statistical Analysis and Data
Mining*, 10(5): 263-276, 2017, **https://doi.org/10.1002/sam.11352**

[P87]
G. Karagiannis, **G. Lin***,
On the design of a predictive model of computer model mixtures and their
calibration through experimental data, Journal of Computational Physics, 342:
139-160, 2017.

[P88]
R. N. Ibragimov, **G. Lin**,
Nonlinear Analysis of Perturbed Rotating Whirlpools in the Ocean and
Atmosphere, Mathematical Modelling of Natural Phenomena, 12(1): 94-114, 2017.

[P89]
Z.
Wang, S. Safarkhani, **G. Lin**, X. Ruan, Quantification of the
uncertainty of thermal conductivities from equilibrium molecular dynamics
simulations, International Journal of Heat and Mass Transfer, 112: 267-278,
2017.

[P90]
J.
Zhang, W. Li, **G. Lin**, L. Zeng, L.
Wu, Efficient evaluation of small failure probability in high-dimensional
groundwater contaminant transport modeling via a two-stage Monte Carlo method, *Water Resources Research*, 53(3):
1948-1962, 2017, DOI: 10.1002/2016WR019518.

[P91]
A.
Biswas, **G. Lin**, H. Shen, Visualization of Time-Varying Weather Ensembles Across
Multiple Resolutions, IEEE Transactions on Visualization and
Computer Graphics, Vol 23, Issue 1, 841-850, 2017, doi:10.1109/TVCG.2016.2598869.

[P92]
J.
Wang, X. Liu, H. Shen, **G. Lin**, Multi-resolution Climate Ensemble parameter analysis
with nested parallel coordinates plots, IEEE Transactions on
Visualization and Computer Graphics, Vol 23, Issue 1, 81-90, 2017, doi/10.1109/TVCG.2016.2598830.

[P93]
L.
Chen, B. Zheng, **G. Lin***, N. Voulgarakis, A two-level stochastic collocation method for semilinear elliptic equations with random coefficients, Journal
of Computational and Applied Mathematics, Vol 315, 195-207, 2017.

[P94]
Z.
Hao, W. Cao and **G. Lin*******, A second-order difference scheme for the time fractional
substantial diffusion equation, Journal of Computational and Applied
Mathematics, in press. PDF

[P95]
X.
Wan, B. Zheng, **G. Lin**, An hp adaptive
minimum action method based on a posteriori error estimate, *Communications in Computational Physics*,
23(2): 408-439, 2017, doi:
10.4208/cicp.OA-2017-0025

**2018**

[P96]
Z.
Hao, M. Park, **G. Lin**, Z. Cai, Finite
element method for two-sided fractional elliptic differential equations with
variable coefficients: Galerkin approach, Journal of
Scientific Computing, in press, 2018.

[P97]
Y.
Huang, Q. Xu, S. Abedi, X. Jiang, **G. Lin**,
Stochastic security assessment for power systems with high renewable energy
penetration considering frequency regulation, IEEE Access, in press, 2018.

[P98]
Y.
Sun, **G. Lin**, Q. Han, D. Yang, C. Vian, Exploratory data analysis for achieving optimal
environmental and operational parameter settings for making quality crossmember castings, Die Casting Congress
& Exposition, in press, 2018.

[P99]
Y.
Wang, Z. Zhang, L. Ren, **G. Lin***, C.
Xu, An ADMM-based sparse PC-EnKF for high-dimensional nonlinear inverse modeling, Computer
Methods in Applied Mechanics and Engineering, in press, 2018. https://doi.org/10.1016/j.cma.2018.10.040

[P100]
J. Li,
N. Ou, **G. Lin**, W. Wei, Compressive Sensing
based Stochastic Economic Dispatch with High Penetration Renewables, IEEE
Transactions on Power Systems, P(99): 1-1, 2018. **DOI: **10.1109/TPWRS.2018.2874718

[P101]
Y.
Huang, Q. Xu, **G. Lin**, Congestion
Risk Averse Stochastic Unit Commitment with Transmission
Reserves in Wind-Thermal Power Systems, Applied Sciences, 8(10), 1726, 2018.
https://doi.org/10.3390/app8101726

[P102]
Y. Du,
**G. Lin***，Turbulence
Generation from a stochastic wavelet model，Proceeding
of the Royal Society of London. Series A, mathematical, physical and
engineering sciences, 474(2217):20180093, 2018. http://rspa.royalsocietypublishing.org/cgi/content/abstract/rspa.2018.0093.

[P103]
S.
Zhang, **G. Lin***, Robust data-driven discovery of governing
physical laws with error bars, Proceedings of the Royal Society of London. Series A,
mathematical, physical and engineering sciences, in press, 2018. DOI: 10.1098/rspa.2018.0305 https://royalsocietypublishing.org/doi/full/10.1098/rspa.2018.0305

[P104]
J.
Zhang, J. Man, G. Lin, L. Wu, L. Zeng, Inverse modeling of hydrologic systems
with adaptive multi-fidelity simulations, Water Resources Research, 54(7),
4867-4886, 2018.

[P105]
Y.
Wang, W. Hao, **G. Lin***, Two-level
spectral methods for nonlinear differential equations with multiple solutions,
SIAM Journal on Scientific Computing, in press, 2017.

[P106]
D.
Sun, Z. Chai, Q. Li, **G. Lin**, A
lattice Boltzmann – cellular automaton study on dendrite growth with melt
convection in solidification of ternary alloys, Chinese Physics B. 27(8): 088105,
2018. Doi: 10.1088/1674-1056/27/8/088105

[P107]
J. Li,
**G. Lin**, Y. Huang, Decentralized
dynamic power management with local information, Elektronika
Ir Elektrotechnika, in
press, 2018.

[P108]
Y.
Huang, Q. Xu, X. Jiang, Y. Yang, **G. Lin**,
An analytic approach to probabilistic load flow
incorporating correlation between
non-Gaussian random variables, Elektronika Ir Elektrotechnika, in press,
2018.

[P109]
J.
Zhang, **G. Lin***, W. Li, L. Zeng, L.
Wu, An iterative local updating ensemble smoother for high-dimensional inverse
modeling with multimodal distributions, Water Resources Research, 54(3):
1716-1733, 2018.

[P110]
J.
Fang, H. Wan, **G. Lin**, Analysis of a
stage-structured dengue model, Discrete and Continuous Dynamical Systems Series
B, 23(9): 4045-4061, 2018, 10.3934/dcdsb.2018125.

[P111]
J. Li,
Z. Fang, **G. Lin**, Regularity analysis
of metamaterial Maxwell’s equations with random coefficients and initial
conditions, Computer Methods in Applied Mechanics and Engineering, 335: 24-51,
2018.

[P112]
Y.
Wang, Y. Cheng, Z. Zhang, **G. Lin***,
Calibration of reduced-order model for the coupled Burgers equations based on
PC-EnKF, special issue in discontinuities and shock
waves in various mathematical models, Mathematical Modelling of Natural
Phenomena, 13:21-39, 2018, 10.1051/mmnp/2018023.

**2019**

[P113]
Y.
Wang, K. Hu, L. Ren, **G. Lin**, Optimal
observations-based retrieval of topography in 2D shallow water equations using
PC-EnKF, Journal of Computational Physics, in press, 2019.

[P114]
J.
Ponce, Y. Zheng, **G. Lin*, **Z. Feng,
Assessing the effects of modeling the spectrum of clinical symptoms on the
dynamics and control of Ebola, Journal theoretical biology, in press, 2019.

**24 Fully
Reviewed Conference Papers**

[C1] **G.
Lin** and G.E. Karniadakis, A high-order discontinuous Galerkin method
for modeling micro-pulsed plasma thrusters, IEPC-01-154, *27th International Electric Propulsion
Conference*, October 2001, Pasadena, CA. PDF

[C2] **G.
Lin** and G.E. Karniadakis, High-order modeling of micro-pulsed plasma
thrusters, AIAA-2002-2872, *3rd AIAA
Theoretical Fluid Mechanics Meeting*, June 2002, St. Louis, Missouri. PDF

[C3] **G.
Lin**, C.-H. Su and G.E.
Karniadakis, Stochastic solvers for
the Euler equations, AIAA-2005-0873, *43rd
AIAA Aerospace Sciences Meeting and Exhibit*, January 2005, Reno, NV. PDF

[C4] **G.
Lin**, C.-H. Su and G.E.
Karniadakis, Modeling
random roughness in supersonic flow past a wedge, AIAA-2006-0124, *44th AIAA Aerospace Sciences Meeting and
Exhibit*, January 2006, Reno, NV.

[C5] **G.
Lin**, C.-H. Su and G.E.
Karniadakis, Effects
of Random Roughness and Scattering of Shock Waves, AIAA 2007-1134, *45th AIAA Aerospace Sciences Meeting and
Exhibit*, January 2007, Reno, NV.

[C6] **G.
Lin**, C.-H. Su and G.E.
Karniadakis, Stochastic
simulations and sensitivity analysis of plasma flow, AIAA-2008-1073, *46h AIAA Aerospace Sciences Meeting and
Exhibit*, January 2008, Reno, NV.

[C7] Yin J, **G.
Lin**, I Gorton, B. Han, MeDiCi-Cloud: A
Workflow Infrastructure for Large-scale Scientific Applications, In 2011 Fourth
IEEE International Conference on Utility and Cloud Computing (UCC), Dec.
5-8, 2011, Victoria, NSW, 336 - 337, DOI: 10.1109/UCC.2011.56.
ISBN: 978-1-4577-2116-8, 2011. PDF

[C8] D.C. Miller, M. Syamlal, J.C. Meza,
D.L. Brown, M.M. Fox, M.A. Khaleel, R.K. Cottrell,
J.D. Kress, X. Sun, S. Sundaresan, N.V. Sahinidis, S.E. Zitney, D.A Agarwal, C.
Tong, **G. Lin**, B.C. Letellier, D.W.
Engel, P. Calafiura, G.A. Richards, J.H. Shinn, Overview
of the U.S. DOEs Carbon Capture Simulation Initiative for Accelerating the
Commercialization of CCS Technology, *36th
International Technical Conference on** **Clean
Coal & Fuel Systems*,
June 5 to 9, 2011, Clearwater, FL. PDF

[C9] **G.
Lin**, N. Zhou, T. Ferryman,
and F. Tuffner, Uncertainty
Quantification in State Estimation using the Probabilistic Collocation Method,
*Power Systems Conference and Exposition*,
March 20th, 2011, Phoenix, AZ. PDF

[C10]
T.
Ferryman, F. Tuffner, N. Zhou, and **G.
Lin**, Initial Study on the
Predictability of Real Power on the Grid based on PMU Data, *Power Systems Conference and Exposition*,
March 20th, 2011, Phoenix, AZ. PDF

[C11]
TA
Ferryman, DJ Haglin, M Vlachopoulou, J Yin, C Shen, N Zhou, **G Lin**, FK Tuffner, and J Tong. Net Interchange Schedule Forecasting of
Electric Power Exchange for RTO/ISOs, *2012
IEEE PES General meeting*, July 22-26, 2012, San Diego, CA. PDF

[C12]
D
Meng, N Zhou, S Lu, and **G Lin**. Estimate the Electromechanical States Using
Particle Filtering and Smoothing, *2012
IEEE PES General meeting*, July 22-26, 2012, San Diego, CA. PDF

[C13]
S
Wang, S Lu, **G Lin**, and N Zhou. Measurement-based Coherency Identification and
Aggregation for Power Systems, *2012
IEEE PES General meeting*, July 22-26, 2012, San Diego, CA. PDF

[C14]
D.
Meng, **G. Lin**, M. Sushko, An Efficient Implementation of Multiscale
Simulation Software PNP-cDFT, *2012
MRS Spring Meeting proceedings*, 2012, San Francisco, CA. PDF

[C15]
J.B.
Coble, **G. Lin**, B. Shumaker, P. Ramuhalli, Accurate
Uncertainty Quantification to Support Online Sensor Calibration Monitoring,
*2013 American Nuclear Society Winter
Meeting and Technology Expo.*, 2013.

[C16]
D.
Meng, N. Zhou, S. Lu, **G. Lin**, An Expectation-Maximization Method for
Calibrating Synchronous Machine Models, *2013
IEEE PES General meeting*, July 21-25, 2013, Vancouver, BC, Canada. PDF

[C17]
J.
Yin, **G. Lin**, Exploring Cloud Computing for Large-scale
Scientific Applications, *IEEE 2013
International Workshop on the Future of Software Engineering for/in the Cloud
(FOSEC 2013)*, June 27-July 2, Santa Clara, CA. PDF

[C18]
J.
Bao, Z. Hou, Y. Fang, H. Ren, **G. Lin**,
Uncertainty
quantification of geomechanical responses and risk analysis of induced
seismicity during geological CO2 sequestration, *12th Annual Conference on Carbon Capture, Utilization and Sequestration*,
Pittsburgh, PA, 2013.

[C19]
S.K. White, L.J. Gosink, C. Sivaramakrishnan, G.D. Black, S.
Purohit, D.H. Bacon J. Hou, **G. Lin**,
I. Gorton, A. Bonneville, Implementations of a
Flexible Framework for Managing Geologic Sequestration Modeling Projects,
Energy Procedia, 37:
3971–3979, 2013. PDF

[C20]
Elizondo
MA, S Lu, **G Lin**, and S Wang, Dynamic Response of Large Wind Power Plant
Affected by Diverse Conditions at Individual Turbines, *In IEEE Power and Energy Society General meeting*, July 27-31, 2014,
National Harbor, MD, USA. PDF

[C21]
W. Li,
D. Zhang, **G. Lin**, A surrogate-based adaptive sampling approach for
history matching and uncertainty quantification, SPE Reservoir Simulation
Symposium, SPE 173298, Houston, Texas, Feb. 23-25, USA, 2015. PDF

[C22]
L.
Chen, Y. Cao, **G. Lin**, W. Sun, W.
Zhang, P. Ming, Study on the simulation method
of compressor aerodynamic noise based on CFD and IBEM, Proceedings of the
ASME 2016 Internal Combustion Fall Technical Conference, in review, Greenville,
SC, Oct. 9-12, 2016. PDF

[C23]
J.
Wang, X. Liu, H. Shen, **G. Lin**, Multi-resolution Climate Ensemble parameter analysis
with nested parallel coordinates plots, IEEE VIS Conference, Visual Analytics Science and Technology program
(VAST), Oct. 23-28, 2016, Baltimore, MD, USA. PDF

[C24]
A.
Biswas, **G. Lin**, X. Liu, H. Shen, Visualization of
Time-Varying Weather Ensembles Across Multiple Resolutions, IEEE VIS
Conference, Scientific Visualization program (SciVis), Oct. 23-28, 2016,
Baltimore, MD, USA. PDF

[C25]
N.J.
Keller, A. Vacca, Y. Sun, Y. Zuo, G. Lin, Classification
of Machine Functions: A Case Study, the 16th Scandinavian International
Conference on Fluid Power, May 22-24, 2019, Tampere, Finland.

[C26]
Y.
Sun, X. Fan, Q. Huang, X. Li, R. Huang, T. Yin, G. Lin, Local feature
sufficiency exploration for predicting security-constrained generation dispatch
in multi-area power systems, Special session: Machine Learning in Energy in
Energy Application, 17th IEEE International Conference on Machine Learning and
Applications, Dec. 17-20, 2018, Orlando, FL, USA.

[C27]
W.
Deng, X. Zhang, F. Liang, G. Lin*, Bayesian deep neural networks with
stochastic gradient Hamiltonian Monte Carlo EM algorithm, ICLR 2018, in review.

[C28]
J. Li,
G. Lin, Y. Huang, Decentralized dynamic power management with local
information, 22nd International Conference Electronics, Palanga, Lithuania, 18th - 20th June,
2018.

[C29]
Y.
Huang, Q. Xu, X. Jiang, Y. Yang, G. Lin, An analytic
approach to probabilistic load flow incorporating correlation between
non-Gaussian random variables, 22nd International Conference Electronics, Palanga, Lithuania, 18th - 20th June,
2018.

[R1] **G.
Lin**, DW Engel, and PW
Eslinger. Survey and Evaluate Uncertainty
Quantification Methodologies PNNL-20914, Pacific Northwest National
Laboratory, Richland, WA, 2012. PDF

[R2] CH Henager, Jr., F Gao, SY Hu,** G Lin**, EJ Bylaska,
N Zabaras, Simulating
interface growth and defect generation in CZT-simulation state of the art and
known gaps, PNNL-189638, Pacific Northwest National Laboratory, Richland,
WA, 2012. PDF

[R3] P. Ramuhalli, **G. Lin**, S.L. Crawford, B. Konomi, B.G. Braatz, J.B. Coble, B.
Shumaker, H. Hashemian, Uncertainty Quantification Techniques for
Sensor Calibration Monitoring in Nuclear Power Plants, 2013. PDF

[R4] N.A. Baker, G.E. Karniadakis, **G. Lin**, W. Pan, G.K. Schenter, 2013
Collaboratory on Mathematics for Mesoscopic Modeling of Materials (CM4) Annual
Report, 2013.

[R5] Ramuhalli P, **G. Lin**, SL Crawford, BA Konomi, JB Coble, B Shumaker, and H Hashemian, Uncertainty
Quantification Techniques for Sensor Calibration Monitoring in Nuclear Power
Plants, 2014. PDF

**Selected 86 Invited
Presentations in Past Eight Years **** **

**2019**

[IT1]
Seminar at the Center
for Interdisciplinary Scientific Computation, Illinois Institute of Technology,
Feb. 1, 2019

[IT2]
Geodata Science Seminar,
Purdue University, Feb. 6, 2019.

**2018**

[IT3] Colloquium at Department of Mathematics, IIT, Nov. 16, 2018.

[IT4] Invited talk at NSF ATD/AMPS workshop, Oct. 11-12, 2018

**2017**

[IT5]
Invited seminar at Department
of Mathematics, IUPUI, August 25, 2017.

[IT6]
Invited talk at Midwest
Workshop on Mechanics of Materials and Structures, Purdue University, August
11, 2017.

[IT7]
Invited talk at International
Conference on Uncertainty Quantification in Computational Fluid Dynamics,
Shanghai, China, on July 24-27, 2017.

[IT8]
Invited talk at Workshop
on Mathematical Approaches to Interfacial Dynamics in Complex Fluids, Banff
International Research Station, Banff, CA, on June 26-30, 2017.

[IT9]
Invited seminar at
Division of Applied Mathematics, Brown University, Providence, RI, March 17,
2017.

[IT10]
Invited seminar at Math
Biology seminar series, Purdue University, West Lafayette, IN, Feb. 23, 2017.

[IT11]
Invited seminar at
Probability seminar, Purdue University, West Lafayette, IN, Feb. 7, 2017.

[IT12]
Invited seminar at
Probability seminar, Purdue University, West Lafayette, IN, Jan. 31, 2017.

**2016**

[IT1]
Invited seminar at
Department of Electric Engineering, Southeast University, Nanjing, China, June
28, 2016.

[IT2] Invited seminar at Department of Mathematics, Nanjing Information
Engineering University, Nanjing, China, June 27, 2016.

[IT3] Invited seminar at Institute of Information Science, ShanghaiTech
University, Shanghai, China, June 25, 2016.

[IT4] Invited seminar at Department of Mathematics, Zhejiang University,
Hangzhou, China, June 22, 2016.

[IT5] Invited talk at Workshop on Modeling and Analysis in Molecular Biology
and Electrophysiology, Suzhou, China, June 17, 2016.

[IT6] Invited seminar Invited seminar at Naritech
Company, Nanjing, China, June 7, 2016.

[IT7] Invited seminar at Department of Mechanical Engineering, Southeast
University, Nanjing, China, June 6, 2016.

[IT8] Invited talk at
the International Conference on Applied Mathematics 2016 at CityU,
Hong Kong, May 30-June 2, 2016.

[IT9]
Invited seminar at Department
of Mathematics, Michigan State University, East Lansing, MI, April 29, 2016.

**2015**

[IT10] Invited seminar at Department of Mathematics, Ohio State
University, Columbus, OH, Dec. 3, 2015.

[IT11]
Invited seminar at Department
of Mathematics, Ohio State University, Columbus, OH, Nov. 12, 2015.

[IT12]
Invited seminar at Department
of Mathematics, Penn State University, State College, PA, Oct. 26, 2015.

[IT13]
Invited seminar at Department of
Mathematics, Indiana University–Purdue University Indianapolis, Indianapolis,
IN, Sep. 18, 2015.

[IT14]
Invited seminar at Department
of Statistics, University of Minnesota, Minneapolis, MN, Feb. 26., 2015.

[IT15]
Invited seminar at Science and
Technology for Aquifer Recharge Workshop, Doha, Qatar, Feb. 9, 2015

**2014**

[IT16]
Invited seminar at
Department of Mathematics Colloquium, Ohio State University, Columbus, OH, Nov.
18, 2014.

[IT17]
Invited seminar at
Southeast University, Nanjing, China, Nanjing, China on May 11, 2014.

**2013**

[IT18]
Invited seminar at
Department of Mathematics, Shanghai University, China, Shanghai, China on July
16, 2013.

[IT19]
Invited talk at Workshop
on Scientific Computing with Applications, Kunming, China on July 20,
2013.

[IT20]
Invited seminar at
Southeast University, Nanjing, China, Nanjing, China on July 25, 2013.

[IT21]
Invited seminar at
Department of Mathematics, Colorado State University, Fort Collins, CO on
November 21, 2013.

[IT22] Invited talk at IMA Hot Topics Workshop on Uncertainty Quantification in
Materials Modeling, Minneapolis, MN on December 16, 2013.

**2012**

[IT23] Invited talk at the 2012 International workshop on Recent Advances in
Scientific and Engineering Computing, Shanghai, China, 2012.

[IT24] Invited talk at the Second Workshop on Computational Methods for Applied
Sciences at Columbia University, New York City, Dec. 2, 2012.

[IT25] Invited talk at the Computational Challenges in Probability Workshop:
Uncertainty Quantification, Providence, RI on October 9, 2012.

[IT26] Invited seminar at the ACMS Colloquium at University of Notre Dame, Notre
Dame, IN on October 4, 2012.

[IT27] Invited seminar at Applied and Computational Mathematics and Statistics,
Univ. of Notre Dame, Notre Dame, IN on October 4-5, 2012

[IT28]
Invited seminar at the
Mechanics and Computation Seminar Series at Stanford University, San Francisco,
CA on September 27, 2012

[IT29] Invited talk at the DOE Multifaceted Mathematics Center for Complex
Energy Systems Kick-off Meeting, ANL, Lemont, IL, September 13, 2012

[IT30]
Invited talk at the DOE
Collaboratory on Mathematics for Mesoscopic Modeling of Materials Kick-off
Meeting, Seattle, September 10, 2012.

[IT31]
Invited talk at the 2012 DOE PNNL
Computational Sciences and Mathematics All Hands Meeting, Richland, WA, August
16, 2012.

[IT32] Invited talk at the Carbon Sequestration Initiative Annual Review,
Richland, WA, August 18, 2012.

[IT33] Invited talk at the DOE ASCR Exascale Research
Conference, Portland, OR on April 17, 2012.

[IT34] Invited seminar at Beijing Computational Science Research Center, Beijing,
China on May 21, 2012.

[IT35] Invited Seminar at the State Key Laboratory of Scientific and Engineering
Computing, Beijing, China on May 21, 2012.

[IT36] Invited seminar at the Second
International Conference on Scientific Computing, Nanjing, China on May 24,
2012.

[IT37] Invited seminar at the conference
on “Challenges in Geometry, Analysis, and Computation: High-Dimensional
Synthesis”, New Haven, CT, 2012.

[IT38]
Invited talk at the 2012
Joint CMSD/CSMD session on PNNL FCSD Directorate Advisory Committee Meeting in
Richland, WA, June 12, 2012.

[IT39] Invited talk at the Joint Session CSMD and CMSD Material Genome,
Directorate Advisory Committee Meeting, Richland, WA, June 12, 2012.

[IT40]
Invited poster at the
FCSD Joint Poster Session, Directorate Advisory Committee Meeting, Richland,
WA, June 12, 2012.

[IT41]
Invited seminar in
Department of Mathematics at Univ. of South Carolina, Columbia, SC on April 6,
2012.

[IT42] Invited seminar in Department of Mathematics at Louisiana State
University, Baton Rouge, LA, March 13, 2012.

[IT43] Invited seminar at the Undergraduate Mathematical Sciences Seminar at
University of Washington, Feb. 16, 2012, Seattle, WA.

[IT44]Invited
talk at the 1st CESM UQ and Analysis Interest Group Meeting, Jan 31, 2012,
Boulder, WA.

**2011**

[IT45] Invited talk at the 1st Sim-SEQ Workshop, San Francisco, CA on December
6, 2011.

[IT46]Invited
seminar at the Society of Petroleum Engineering Golden Gate Section
Distinguished Lecture, San Francisco, CA on December 8, 2011

[IT47] Invited seminar at the Seminar in Aeronautics & Astronautics
Department, University of Washington, Dec. 2, 2011, Seattle, WA.

[IT48]
Invited seminar at the
Department of Applied Mathematics Colloquium, Penn. State University, Nov. 4,
2011, University Park, PA.

[IT49]Invited
seminar at the Department of Applied Mathematics Pizza Seminar, Penn. State
University, Nov. 4, 2011, University Park, PA.

[IT50]Invited
seminar 1 at the 2011 DOE Applied Math Program PI Meeting, October 17-19,
Washington D.C.

[IT51]
Invited seminar 2 at the
2011 DOE Applied Math Program PI Meeting, October 17-19, Washington D.C.

[IT52] Invited talk at the 2011 DOE Climate PI Meeting, September 19-22,
Washington D.C.

[IT53] Invited talk “Uncertainty Quantification for CCSI”, at the 2011 Carbon
Capture Simulation Initiative Industry Workshop, September 26-28, 2011,
Morgantown, WV.

[IT54] Invited talk “Uncertainty Quantification Methods and Software for Carbon
Capture Simulation”, at the 2011 Carbon Capture Simulation Initiative Industry
Workshop, September 26-28, Morgantown, WV.

[IT55] Invited talk “A Software System for Uncertainty Quantification and its
Application to the CCSI MEA Process Model”, at the 2011 Carbon Capture
Simulation Initiative Industry Workshop, September 26-28, Morgantown, WV.

[IT56] Invited talk “Solid Sorbent Simulation: Early Development and UQ
Evaluation Tools”, at the 2011 Carbon Capture Simulation Initiative Industry
Workshop, September 26-28, Morgantown, WV.

[IT57]
Invited seminar at the
Department of Mathematics, Colorado State University, July 15, 2011, Fort
Collins, Colorado.

[IT58] Invited poster at the Department of Energy SciDAC
2011 PI meeting, July 10-14 2011, Denver, Colorado.

[IT59] Invited talk at the “Uncertainty Quantification in Computational Fluid
Dynamics” invited session, 20th AIAA Computational Fluid Dynamics Conference,
Honolulu, Hawaii, June 27-30, 2011.

[IT60]
Invited talk at the
workshop "Uncertainty Quantification in Industrial and Energy
Applications: Experiences and Challenges", June 2-4 2011, at the Institute
for Mathematics and its Applications (IMA) in Minneapolis, MN.

[IT61]
Invited seminar at the
Applied and Computational Mathematics Seminar, California Technology Institute,
May 9th 2011, Pasadena, CA.

[IT62] Invited seminar at Applied Mathematics Colloquium, University of
Washington, April 21 2011, Seattle, WA.

[IT63] Invited talk at the IAMCS Workshop in Large-Scale Inverse Problems and
Uncertainty Quantification, February 25th, 2011, Texas A&M University,
College Station, Texas.

[IT64]Invited
seminar at the Petroleum Engineering Department Colloquium, Colorado School of
Mines, February 11th, 2011, Golden, Colorado.

[IT65] Invited seminar in the Mathematics Department at University of North
Carolina Charlotte, Charlotte, NC on February 7, 2011.

**2010**

[IT66]Invited
seminar at the Division of Applied Mathematics, Brown University, December
17th, 2010, Providence, RI.

[IT67] Invited seminar at the Department of Mathematics Colloquium, Iowa State
University, December 7th, 2010, Ames, IA.

[IT68]
Invited seminar at the
Department of Civil Engineering, University of Southern California, December
1th, 2010, Los Angeles, CA.

[IT69]Invited
seminar at the Department of Applied Mathematics, University of Washington, November
22nd, 2010, Seattle, WA.

[IT70] Invited talk at the "Mapping Out Future Directions for Uncertainty
Quantification in Scientific Inference" conference, November 5, 2010,
Santa Fe, NM.

[IT71]
Invited seminar at
the Department of Department of Applied Mathematics, SUNY Stony Brook
University, September 8th, 2010, Stony Brook, NY.

[IT72] Invited talk at the FY 2011 Nuclear Energy University Programs Workshop,
July 27-28, 2010, Rockville, MD.

[IT73] Invited talk at CMSD Division Advisory Committee Meeting, June 15th,
2010, Richland, WA

[IT74] Invited talk at CSM Division Advisory Committee Meeting, June 15th, 2010,
Richland, WA

[IT75]
Invited seminar at the
PNNL Brown Bag Seminar, May 27, 2010, Richland, WA.

[IT76] Invited talk at the 2010 DOE Applied Mathematics Program Meeting, May 4,
2010, Berkeley, CA.

**2009**

[IT77]
Invited seminar at the
Aerospace computational design lab, MIT, December 4th, 2009, Boston, MA.

[IT78] Invited talk at Princeton
Plasma Physics Laboratory, November 30th, 2009, Princeton, NJ.

[IT79] Invited talk at the Mini-Symposium on Uncertainty Quantification in
Simulations of Fluid Flow, Presented at the 62nd Annual Meeting of the APS
Division of Fluid Dynamics, November 22nd, 2009, Minneapolis, Minnesota.

[IT80]
Invited talk at the
Real-time Model Validation and Calibration (RTMV) kick-off meeting, November
11th, 2009, Richland, WA.

[IT81]
Invited talk at DOE ASCR
Applied Math Program’ PNNL visit, September 2nd, 2009, Richland, WA.

[IT82]
Invited seminar at the
Applied Mathematics Colloquium, in the Department of Applied Mathematics,
University of Washington, March 12th 2009, Seattle, WA.

**2008**

[IT83]
Invited seminar at the
PNNL CSM Development Brown Bag, Dec. 18th, 2008, Richland, WA.

[IT84]
Invited seminar at the
Center for Applied Mathematics Colloquium, University of Notre Dame, November
10th, 2008, Notre Dame, IN.

[IT85] Invited seminar at the 2008 DOE Summer School in Multiscale Mathematics
and High Performance Computing, Washington State University-Tri-Cities, August
5th, Richland, WA.

[IT86]
Invited graduate seminar
in the Department of Aeronautics & Astronautics, University of Washington,
January 18th, 2008, Seattle, WA.