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.