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<!DOCTYPE html>
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<title>MADS: Model Analysis & Decision Support</title>
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<h2 class="header orange-text">MADS</h2>
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<h4 class="header cyan-text align-center">Model Analysis & Decision Support</h4>
<h5> open-source high-performance computational framework for <br /> data- & model-based analyses in <br /> Julia and C</h5>
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<p><strong>MADS</strong> can perform:</p>
<ul>
<li>Sensitivity Analysis</li>
<li>Parameter Estimation</li>
<li>Model Inversion and Calibration</li>
<li>Uncertainty Quantification</li>
<li>Model Selection and Model Averaging</li>
<li>Model Reduction and Surrogate Modeling</li>
<li>Machine Learning and Blind Source Separation</li>
<li>Decision Analysis and Support</li>
</ul>
<p><strong>MADS</strong> can be internally or externally coupled with any existing model simulator.</p>
<p><strong>MADS</strong> includes built-in analytical solutions for groundwater flow and contaminant transport.</p>
<p><strong>MADS</strong> includes built-in test functions.</p>
<p><strong>MADS</strong> includes verification and example problems.</p>
<p><strong>MADS</strong> performs automatic bookkeeping of model results for efficient restarts and reruns.</p>
<p><strong>MADS</strong> has been successfully applied to perform analyses related to environmental management.</p>
<p><strong>MADS</strong> is released in two compatible versions:</p>
<ul>
<li><strong>MADS</strong> v1.0 written in Julia (actively developed)</li>
<li><strong>MADS</strong> v1.1.14 written in C/C++ (continued support)</li>
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<h3 class="header orange-text">Documentation & Examples</h3>
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<a href="https://madsjulia.github.io/Mads.jl"><h4 class="cyan-text">Julia version</h4></a>
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<h3>Theory & Research</h3>
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<div class="collapsible-header">Publications</div>
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<ul class="browser-default" style="padding-left: 0px;">
<li>
Vesselinov, V.V., Mudunuru, M., Karra, S., O'Malley, D., Alexandrov, B.S., Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing, Journal of Computational Physics, 2018 (in review). <a href="papers/Vesselinov et al 2018 Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Alexandrov, B.S., O'Malley, D., Nonnegative Tensor Factorization for Contaminant Source Identification, Journal of Contaminant Hydrology, 10.1016/j.jconhyd.2018.11.010, 2018. <a href="papers/Vesselinov et al 2018 Nonnegative Tensor Factorization for Contaminant Source Identification.pdf" target="_blank">PDF</a>
</li>
<li>
O'Malley, D., Vesselinov, V.V., Alexandrov, B.S., Alexandrov, L.B., Nonnegative/binary matrix factorization with a D-Wave quantum annealer, PlosOne, 10.1371/journal.pone.0206653, 2018. <a href="papers/OMalley et al 2017 Nonnegative:binary matrix factorization with a D-Wave quantum annealer.pdf">PDF</a>
</li>
<li>
Telfeyan, K., Migdisov, A.A., Pandey, S., Vesselinov, V.V., Reimus, P.W., Long-term stability of dithionite in alkaline anaerobic aqueous solution, Applied Geochemistry, 10.1016/j.apgeochem.2018.12.015, 2018. <a href="papers/Telfeyan et al 2018 Long-term stability of dithionite in alkaline anaerobic aqueous solution.pdf" target="_blank">PDF</a>
</li>
<li>
Stanev, V., Vesselinov, V.V., Kusne, A.G., Antoszewski, G., Takeuchi,I., Alexandrov, B.A., Unsupervised Phase Mapping of X-ray Diffraction Data by Nonnegative Matrix Factorization Integrated with Custom Clustering, Nature Computational Materials, 10.1038/s41524-018-0099-2, 2018. <a href="papers/Stanev et al 2018 Unsupervised phase mapping of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering.pdf" target="_blank">PDF</a>
</li>
<li>
Iliev, F.L., Stanev, V.G., Vesselinov, V.V., Alexandrov, B.S., Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals PLoS ONE, 10.1371/journal.pone.0193974. 2018. <a href="papers/Iliev et al 2018 Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals.pdf" target="_blank">PDF</a>
</li>
<li>
Stanev, V.G., Iliev, F.L., Hansen, S.K., Vesselinov, V.V., Alexandrov, B.S., Identification of the release sources in advection-diffusion system by machine learning combined with Greens function inverse method, Applied Mathematical Modelling, 10.1016/j.apm.2018.03.006, 2018. <a href="papers/Stanev et al 2018 Identification of release sources in advection-diffusion system by machine learning combined with Greens function inverse method.pdf" target="_blank">PDF</a>
</li>
<li>
Qian, E., Peherstorfer, B., O'Malley, D., Vesselinov, V.V., Wilcox, K., Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices, SIAM Journal on Uncertainty Quantification, 10.1137/17M1151006, 2018. <a href="papers/Qian et al 2018 Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices.pdf" target="_blank">PDF</a>
</li>
<li>
Lu, Z., Vesselinov, V.V., Lei, H., Identifying Arbitrary Parameter Zonation using Multiple Level Set Functions, Journal of Computational Physics, 10.1016/j.jcp.2018.03.016, 2018. <a href="papers/Lu et al 2018 Identifying arbitrary parameter zonation using multiple level set functions.pdf" target="_blank">PDF</a>
</li>
<li>
Hansen, S.K., He, J., Vesselinov, V.V., Characterizing the impact of model error in hydrologic time series recovery inverse problems, 10.1017/j.advwatres.2017.146.R2, Advances in Water Resources, 2018. <a href="papers/Hansen et al 2018 Characterizing the impact of model error in hydrologic time series recovery inverse problems.pdf" target="_blank">PDF</a>
</li>
<li>
Lin, Y., O'Malley, D., Vesselinov, V.V., Gutrie, G.D, Coblentz, D., Randomization in Characterizing the Subsurface, SIAM News, 2018. <a href="papers/Lin et al 2018 Randomization in Characterizing the Subsurface.pdf" target="_blank">PDF</a>
</li>
<li>
Hansen, S.K., Haslauer, C.P., Cirpka, O.A., Vesselinov, V.V., Direct Breakthrough Curve Prediction from Statistics of Heterogeneous Conductivity Fields, Water Resources Research, 10.1002/2017WR020450, 2018. <a href="papers/Hansen et al 2018 Direct Breakthrough Curve Prediction from Statistics of Heterogeneous Conductivity Fields.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., O'Malley, D., Alexandrov, B.S., Contaminant source identification using semi-supervised machine learning, Journal of Contaminant Hydrology, 10.1016/j.jconhyd.2017.11.002, 2017. <a href="papers/Vesselinov 2017 Contaminant source identification using semi-supervised machine learning.pdf" target="_blank">PDF</a>
</li>
<li>
Hansen, S.K., Pandey, S., Karra, S., Vesselinov, V.V., CHROTRAN 1.0: A mathematical and computational model for in situ heavy metal remediation in heterogeneous aquifers, Geoscientific. Model Development, 10.5194/gmd-10-4525-2017, 10, 4525–4538, 2017. <a href="papers/Hansen et al 2017 CHROTRAN 1.0 A mathematical and computational model for in situ heavy metal remediation in heterogeneous aquifers.pdf" target="_blank">PDF</a>
</li>
<li>
Lin, Y, Le, E.B, O'Malley, D., Vesselinov, V.V., Bui-Thanh, T., Large-Scale Inverse Model Analyses Employing Fast Randomized Data Reduction, Water Resources Research, 10.1002/2016WR020299RRR, 2017. <a href="papers/Lin et al 2017 Large-Scale Inverse Model Analyses Employing Fast Randomized Data Reduction.pdf" target="_blank">PDF</a>
</li>
<li>
Hansen, S.K., Vesselinov, V.V., Local equilibrium and retardation revisited, Groundwater, 10.1111/gwat.12551, 2017. <a href="papers/Hansen et al 2018 Local Equilibrium and Retardation Revisited.pdf" target="_blank">PDF</a>
</li>
<li>
Hansen, S.K., Vesselinov, V.V., Reimus, P., Lu, Z., Inferring subsurface heterogeneity from push-drift tracer tests, Water Resources Research, 10.1002/2017WR020852R, 2017. <a href="papers/Hansen et al 2017 Inferring subsurface heterogeneity from push-drift tracer tests.pdf" target="_blank">PDF</a>
</li>
<li>
Bakarji, J., Vesselinov, V.V., O’Malley, D., Agent-based Socio-hydrological Hybrid Modeling for Water Resource Management, Water Resources Management, 10.1007/s11269-017-1713-7, 2017. <a href="papers/Bakarji et al 2017 Agent-Based Socio-Hydrological Hybrid Modeling for Water Resource Management.pdf" target="_blank">PDF</a>
</li>
<li>
Zhang, X., Sun, A.Y., Duncan, I.J., Vesselinov, V.V., Two-Stage Fracturing Wastewater Management in Shale Gas Development, Ind. Eng. Chem. Res., 10.1021/acs.iecr.6b03971, 2017. <a href="papers/Zhang et al 2018 Two-Stage Fracturing Wastewater Management in Shale Gas Development.pdf" target="_blank">PDF</a>
</li>
<li>
Zhang, X., Vesselinov, V.V., Integrated Modeling Approach for Optimal Management of Water, Energy and Food Security Nexus, Advances in Water Resources, 10.1016/j.advwatres.2016.12.017, 2017. <a href="papers/Zhang Vesselinov Integrated Modeling Approach for Optimal Management of Water, Energy and Food Security Nexus 2017.pdf" target="_blank">PDF</a>
</li>
<li>
O'Malley, D., Vesselinov, V.V., ToQ.jl: A high-level programming language for D-Wave machines based on Julia. IEEE High Performance Extreme Computing, 10.1109/HPEC.2016.7761616, 2016. <a href="papers/OMalley Vesselinov ToQ.jl A high-level programming language for D-Wave machines based on Julia 2016.pdf" target="_blank">PDF</a>
</li>
<li>
Lin, Y, O'Malley, D., Vesselinov, V.V., A computationally efficient parallel Levenberg-Marquardt algorithm for highly parameterized inverse model analyses, Water Resources Research, 10.1002/2016WR019028, 2016. <a href="papers/Lin OMalley Vesselinov A computationally efficient parallel Levenberg-Marquardt algorithm for highly parameterized inverse model analyses 2016.pdf" target="_blank">PDF</a>
</li>
<li>
Hansen, S.K., Berkowitz, B., Vesselinov, V.V., O'Malley, D., Karra, S., Push-pull tracer tests: their information content and use for characterizing non-Fickian, mobile-immobile behavior, Water Resources Research, 10.1002/2016WR018769RR, 2016. <a href="papers/Hansen et al Push-pull tracer tests their information content and use for characterizing non-Fickian, mobile-immobile behavior 2016.pdf" target="_blank">PDF</a>
</li>
<li>
Zhang, X., Vesselinov, V.V., Energy-Water Nexus: Balancing the Tradeoffs between Two-Level Decision Makers Applied Energy, Applied Energy, 10.1016/j.apenergy.2016.08.156, 2016. <a href="papers/Zhang Vesselinov Energy-Water Nexus Balancing the Tradeoffs between Two-Level Decision Makers Applied Energy 2016.pdf" target="_blank">PDF</a>
</li>
<li>
Hansen, S.K., Vesselinov, V.V., Contaminant point source localization error estimates as functions of data quantity and model quality, 10.1016/j.jconhyd.2016.09.003, 2016.
<a href="papers/Hansen Vesselinov Contaminant point source localization error estimates as functions of data quantity and model quality 2016.pdf" target="_blank">PDF</a>
</li>
<li>
Throckmorton, H., Newman, B., Heikoop, J., Perkins, G., Feng, X., Graham, D., O'Malley, D., Vesselinov, V.V., Young, J., Wullschleger, S., Wilson, C., Active layer hydrology in an arctic tundra ecosystem: quantifying water sources and cycling using water stable isotopes, Hydrological Processes, 10.1002/hyp.10883, 2016. <a href="papers/Throckmorton et al 2016 Active layer hydrology in an arctic tundra ecosystem quantifying water source and cycling using water stable isotopes.pdf" target="_blank">PDF</a>
</li>
<li>
Grasinger, M., O'Malley, D., Vesselinov, V.V., Karra, S., Decision Analysis for Robust CO2 Injection: Application of Bayesian-Information-Gap Decision Theory, International Journal of Greenhouse Gas Control, 10.1016/j.ijggc.2016.02.017, 2016. <a href="papers/Grasinger et al 2016 Decision analysis for robust CO2 injection: Application of Bayesian-Information-Gap Decision Theory.pdf" target="_blank">PDF</a>
</li>
<li>
Mattis, S.A., Butler, T.D. Dawson, C.N., Estep, D., Vesselinov, V.V., Parameter estimation and prediction for groundwater contamination based on measure theory, Water Resources Research, 10.1002/2015WR017295, 2015. <a href="papers/Mattis et al 2015 Parameter estimation and prediction for groundwatercontamination based on measure theory.pdf" target="_blank">PDF</a>
</li>
<li>
O’Malley, D., Vesselinov, V.V., Bayesian-Information-Gap Decision Theory (BIG-DT) with an application to CO2 sequestration, Water Resources Research, 10.1002/2015WR017413, 2015. <a href="papers/OMalley Vesselinov 2015 Bayesian information gap decision theory with an application to CO2 sequestration.pdf" target="_blank">PDF</a>
</li>
<li>
Lu, Z., Vesselinov, V.V., Analytical Sensitivity Analysis of Transient Groundwater Flow in a Bounded Model Domain using Adjoint Method, Water Resources Research, 10.1002/2014WR016819, 2015. <a href="papers/Lu Vesselinov 2015 Analytical sensitivity analysis of transient groundwater flow in a bounded model domain using the adjoint method.pdf" target="_blank">PDF</a>
</li>
<li>
Barajas-Solano, D. A., Wohlberg, B., Vesselinov, V.V., Tartakovsky, D. M., Linear Functional Minimization for Inverse Modeling, Water Resources Research, 10.1002/2014WR016179, 2015. <a href="papers/Barajas et al 2015 Linear functional minimization for inverse modeling.pdf" target="_blank">PDF</a>
</li>
<li>
O’Malley, D., Vesselinov, V.V., Cushman, J.H., Diffusive mixing and Tsallis entropy, Physical Review E, 10.1103/PhysRevE.91.042143, 2015. <a href="papers/OMalley Vesselinov Cushman 2015 Diffusive mixing and Tsallis entropy.pdf" target="_blank">PDF</a>
</li>
<li>
O’Malley, D., Vesselinov, V.V., A combined probabilistic/non-probabilistic decision analysis for contaminant remediation, Journal on Uncertainty Quantification, SIAM/ASA, 10.1137/140965132, 2014. <a href="papers/OMalley Vesselinov 2014 A Combined Probabilistic Nonprobabilistic Decision Analysis for Contaminant Remediation.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., O'Malley, D., Katzman, D., Robust Decision Analysis for Environmental Management of Groundwater Contamination Sites, In Vulnerability, Uncertainty, and Risk Quantification, Mitigation, and Management (ed. Michael Beer, Siu-Kui Au, and Jim W. Hall), 2916 pp, ISBN: 9780784413609, 10.1061/9780784413609.197, 2014. <a href="http://ascelibrary.org/doi/abs/10.1061/9780784413609.197" target="_blank">Link</a>
</li>
<li>
O’Malley, D., Vesselinov, V.V., Cushman, J.H., A Method for Identifying Diffusive Trajectories with Stochastic Model, Journal of Statistical Physics, Springer, 10.1007/s10955-014-1035-6, 2014. <a href="papers/OMalley Vesselinov Cushman 2014 A Method for Identifying Diffusive Trajectories with Stochastic Models.pdf" target="_blank">PDF</a>
</li>
<li>
Alexandrov, B., Vesselinov, V.V., Blind source separation for groundwater level analysis based on non-negative matrix factorization, Water Resources Research, 10.1002/2013WR015037, 2014. <a href="papers/Alexandrov & Vesselinov 2014 Blind source separation for groundwater pressure analysis based on nonnegative matrix factorization.pdf" target="_blank">PDF</a>
</li>
<li>
O’Malley, D., Vesselinov, V.V., Analytical solutions for anomalous dispersion transport, Advances in Water Resources, 10.1016/j.advwatres.2014.02.006, 2014. <a href="papers/OMalley Vesselinov 2014 Analytical solutions for anomalous dispersion transport.pdf" target="_blank">PDF</a>
</li>
<li>
Heikoop, J.M., Johnson, T.M., Birdsell, K.H., Longmire, P., Hickmott, D.D., Jacobs, E.P., Broxton, D.E., Katzman, D., Vesselinov, V.V., Ding, M., Vaniman, D.T., Reneau, S.L., Goering, T.J., Glessner, J., Basu, A., Isotopic evidence for reduction of anthropogenic hexavalent chromium in Los Alamos National Laboratory groundwater, Chemical Geology, <a href="https://www.sciencedirect.com/science/article/pii/S0009254114001132" target="_blank">10.1016/j.chemgeo.2014.02.022</a>, 2014.
</li>
<li>
Freedman, V.L., Chen, X., Finsterle, S., Freshley, M., Gorton, I., Gosink, L., Keating, E., Lansing, C., Moeglein W., Murray C., Pau, G., Porter, E., Purohit, S., Rockhold, M., Schuchardt, K., Sivaramakrishnan, C., Vesselinov, V.V., Waichler, S., A high-performance workflow system for subsurface simulation, Environmental Modelling & Software, 55, pp. 176-189, 10.1016/j.envsoft.2014.01.030, 2014. <a href="papers/Freedman et al 2014 A high-performance workflow system for subsurface simulation.pdf" target="_blank">PDF</a>
</li>
<li>
O’Malley, D., Vesselinov, V.V., Groundwater remediation using the information gap decision theory, Water Resources Research, 10.1002/2013WR014718, 2014. <a href="papers/OMalley Vesselinov 2014 Groundwater remediation using the information gap decision theory.pdf" target="_blank">PDF</a>
</li>
<li>
Harp, D.R., Vesselinov, V.V., Accounting for the influence of aquifer heterogeneity on spatial propagation of pumping drawdown, Journal of Water Resource and Hydraulic Engineering, 2(3), pp. 65-83, 2013. <a href="papers/Harp & Vesselinov 2013 exp.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Katzman, D., Broxton, D., Birdsell, K., Reneau, S., Vaniman, D., Longmire, P., Fabryka-Martin, J., Heikoop, J., Ding, M., Hickmott, D., Jacobs, E., Goering, T., Harp, D.R., Mishra, P., Data and Model-Driven Decision Support for Environmental Management of a Chromium Plume at Los Alamos National Laboratory (LANL), Waste Management Symposium 2013, Session 109: ER Challenges: Alternative Approaches for Achieving End State, Phoenix, AZ, http://wmsym.org, 2013. <a href="papers/Vesselinov et al 2013 Data and Model-Driven Decision Support for Environmental Management of a Chromium Plume at Los Alamos National Laboratory.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Pau, G., Finsterle, S, AGNI: Coupling Model Analysis Tools and High-Performance Subsurface Flow and Transport Simulators for Risk and Performance Assessments, Computational Methods in Water Resources (CMWR 2012), 2012. <a href="papers/Vesselinov et al 2012 Agni - coupling model analysis tools and high-performance subsurface flow and transport simulators for risk and performance assessments.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Harp, D., Adaptive hybrid optimization strategy for calibration and parameter estimation of physical models, <em>Computers & Geosciences</em>, 10.1016/j.cageo.2012.05.027, 2012. <a href="papers/Vesselinov & Harp 2012 Adaptive hybrid optimization strategy for calibration and parameter estimation of physical process models.pdf" target="_blank">PDF</a>
</li>
<li>
Harp, D., Vesselinov, V.V., Contaminant remediation decision analysis using information gap theory, <em>Stochastic Environmental Research and Risk Assessment (SERRA)</em>, 10.1007/s00477-012-0573-1, 2012. <a href="papers/Harp & Vesselinov 2013 Contaminant remediation decision analysis using information.pdf" target="_blank">PDF</a>
</li>
<li>
Mishra, P.K., Gupta, H.V., Vesselinov, V.V.; On simulation and analysis of variable-rate pumping tests, Ground Water, 10.1111/j.1745-6584.2012.00961.x, 2012. <a href="papers/Mishra et al 2012 Variable Rate GW.pdf" target="_blank">PDF</a>
</li>
<li>
Mishra, P.K., Vesselinov, V.V., Kuhlmna, K.L.; Saturated–unsaturated flow in a compressible leaky-unconfined aquifer, Advances in Water Resources, 10.1016/j.advwatres.2012.03.007, 2012. <a href="papers/Mishra et al 2012 Variable Rate GW.pdf" target="_blank">PDF</a>
</li>
<li>
Mishra, P.K., Vesselinov, V.V., Neuman, S.P.; Radial flow to a partially penetrating well with storage in an anisotropic confined aquifer, <em>Journal of Hydrology</em>, 10.1016/j.jhydrol.2012.05.010, 2012. <a href="papers/Mishra et al 2012 Leaky-unconfined aquifer AWR.pdf" target="_blank">PDF</a>
</li>
<li>
Harp, D., Vesselinov, V.V., An agent-based approach to global uncertainty and sensitivity analysis, <em>Computers & Geosciences</em>, 10.1016/j.cageo.2011.06.025, 2012. <a href="papers/Harp & Vesselinov 2012 abagus.pdf" target="_blank">PDF</a>
</li>
<li>
Harp, D., Vesselinov, V.V., Analysis of hydrogeological structure uncertainty by estimation of hydrogeological acceptance probability of geostatistical models, Special issue of Uncertainty Quantification (invited), <em>Advances in Water Resources</em>, 10.1016/j.advwatres.2011.06.007, 2012. <a href="papers/Harp & Vesselinov 2012 geosampler.pdf" target="_blank">PDF</a>
</li>
<li>
Mishra, P.K., Vesselinov, V.V., Unified Analytical Solution for Radial Flow to a Well in a Confined Aquifer, arXiv:1110.5940, 2011. <a href="papers/Mishra & Vesselinov 2011 Unified Analytical Solution for Radial Flow to a Well in a Confined Aquifer.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Harp, D., Decision support based on uncertainty quantification of model predictions of contaminant transport, CMWR 2010: XVIII International Conference on Water Resources, J. Carrera (Ed), CIMNE, Barcelona 2010. <a href="papers/Vesselinov & Harp 2010 cmwr decision.pdf" target="_blank">PDF</a>
</li>
<li>
Harp, D., Vesselinov, V.V., Identification of Pumping Influences in Long-Term Water Level Fluctuations, Ground Water, 10.1111/j.1745-6584.2010.00725.x., 2010. <a href="papers/Harp & Vesselinov 2010 gw.pdf" target="_blank">PDF</a>
</li>
<li>
Morales-Casique, E, Neuman, S.P., Vesselinov, V.V., Maximum Likelihood Bayesian Averaging of air flow models in unsaturated fractured tuff using Occam and variance windows, Special issue of <em>Stochastic Environmental Research and Risk Assessment</em> (SERRA) Journal celebrating 70th anniversary of Shlomo P Neuman, vol. 24, 10.1007/s00477-010-0383-2, 2010. <a href="papers/Morales et al 2010 MLBA serra.pdf" target="_blank">PDF</a>
</li>
<li>
Harp, D., Vesselinov, V.V., Stochastic inverse method for estimation of geostatistical representation of hydrogeologic stratigraphy using borehole logs and pressure, invited, Special issue of<em> Stochastic Environmental Research and Risk Assessment</em> (SERRA) Journal celebrating 70th anniversary of Shlomo P Neuman, vol. 24, 10.1007/s00477-010-0403-2, 2010. <a href="papers/Harp & Vesselinov 2010 SERRA.pdf" target="_blank">PDF</a>
</li>
<li>
Vrugt, J., Stauffer, P., Wöhling, Th., Robinson, B., Vesselinov, V.V., Inverse Modeling of Subsurface Flow and Transport Properties Using Recent Advances in Global Optimization, Parallel Computing and Sequential Data Assimilation, <em>Vadose Zone Journal</em>, pp 843-864, 2008. <a href="papers/Vrugt et al 2007 VZJ.pdf" target="_blank">PDF</a>
</li>
<li>
Morales-Casique, E., Neuman, S.P., Vesselinov, V.V., Maximum likelihood Bayesian averaging of air flow models in unsaturated fractured tuff, pp.70-75, <em>IAHS Publication 320</em>, ISBN 978-1-901502-49-7, 2008. <a href="papers/Morales_et_al_on_ALRS.pdf" target="_blank">PDF</a>
</li>
<li>
Harp, D., Dai, Z., Wolfsberg, A., Vrugt, J., Robinson, B., Vesselinov, V.V., Aquifer structure identification using stochastic inversion. <em>Geophysical Research Letters</em> L08404, 10.1029/2008GL033585, 2008. <a href="papers/Harp et al 2008 GRL.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Uncertainties In Transient Capture-Zone Estimates, <em>Computational Methods in Water Resources XVI</em>, (edited by P. Binning, P. Engesgaard, H. Dahle, G. Pinder & W. Gray), Balkema, Rotterdam, ISBN 90-5809-124-4, pp. 307-314, 2006. <a href="papers/Vesselinov 2006 cmwr06 Uncertainties In Transient Capture-Zone Estimates.pdf" target="_blank">PDF</a>
</li>
<li>
Vrugt, J.A, Robinson, B.A., Vesselinov, V.V., Improved Inverse Modeling in Geophysics: Combined Parameter and State Estimation, <em>Geophysical Research Letters</em>, v.32, L18408, 10.1029/2005GL023940, 2005. <a href="papers/Vrugt et al 2005 GRL.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Estimation of parameter uncertainty using inverse model sensitivities, <em>Computational Methods in Water Resources XV</em> (CMWR 2004) (ed. Miller, C., Farthing, M.W., Gray, W.G., Pinder, G.), Elsevier, ISBN 0-444-51839-8, pp. 508-514, 10.1016/S0167-5648(04)80139-4, 2004. <a href="papers/Vesselinov 2004 Estimation of parameter uncertainty using inverse model sensitivities.pdf" target="_blank">PDF</a>
</li>
</ul>
</div>
</div>
</li>
<li>
<div class="collapsible-header">Presentations</div>
<div class="collapsible-body">
<div class="left-align" style="padding-left: 30px;">
<ul class="browser-default" style="padding-left: 0px;">
<li>
Vesselinov, V.V., Novel Machine Learning Methods for Extraction of Features Characterizing Datasets and Models, AGU Fall meeting, Washington D.C., 2018. <a href="presentations/Vesselinov 2018 Novel Machine Learning Methods for Extraction of Features Characterizing Datasets and Models LA-UR-18-31366.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Novel Machine Learning Methods for Extraction of Features Characterizing Complex Datasets and Models, Recent Advances in Machine Learning and Computational Methods for Geoscience, Institute for Mathematics and its Applications, University of Minnesota, 2018. <a href="presentations/Vesselinov 2018 Novel Machine Learning Methods for Extraction of Features Characterizing Complex Datasets and Models LA-UR-18-30987.pdf" target="_blank">PDF</a>
</li>
<video class="responsive-video" controls>
<source src="https://reel.ima.umn.edu/videos/2018/SW10.22-26.18/Vesselinov-10-25-18.mp4" type="video/mp4">
</video>
<li>
O'Malley, D., Vesselinov, V.V., Alexandrov, B.S., Alexandrov, L.B., Nonnegative/binary matrix factorization with a D-Wave quantum annealer <a href="presentations/OMalley et al 2017 Nonnegative binary matrix factorization with a D-Wave quantum annealer.pdf" target="_blank">PDF</a>
</li>
<li>
Lin, Y., Vesselinov, V.V., O'Malley, D., Wohlberg, B., Hydraulic Inverse Modeling using Total-Variation Regularization with Relaxed Variable-Splitting, SIAM Conference on Computational Science and Engineering, Atlanta, GA, 2017. <a href="presentations/lin Hydraulic Inverse Modeling TV SIAM CSE 2017.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., O'Malley, D., Katzman, D., Decision Analyses for Groundwater Remediation, Waste Management Symposium, Phoenix, AZ, 10.13140/RG.2.2.33273.11367, 2017. <a href="presentations/vesselinov Decision Analyses for Groundwater Remediation LA-UR-17-21909 wmsym2017.pdf" target="_blank">PDF</a> <a href="presentations/vesselinov Decision Analyses for Groundwater Remediation LA-UR-17-21909 wmsym2017.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., O'Malley, D., Model Analyses of Complex Systems Behavior using MADS, AGU Fall Meeting, San Francisco, CA, 2016. <a href="presentations/vesselinov omalley MADS LA-UR-16-29120 agu2016.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., O'Malley, D., Alexandrov, B., Moore, B., Reduced Order Models for Decision Analysis and Upscaling of Aquifer Heterogeneity, AGU Fall Meeting, San Francisco, CA, 2016, (invited). <a href="presentations/vesselinov omalley Reduced Order Models for Decision Analysis and Upscaling of Aquifer Heterogeneity AGU 2016.pdf" target="_blank">PDF</a>
</li>
<li>
He, J., Hansen, S.K., Vesselinov, V.V., Analysis of Hydrologic Time Series Reconstruction Uncertainty due to Inverse Model Inadequacy, AGU Fall Meeting, San Francisco, CA, 2016. <a href="presentations/hansen et al Analysis of Hydrologic Time Series Reconstruction Uncertainty due to Inverse Model Inadequacy AGU 2016.pdf" target="_blank">PDF</a>
</li>
<li>
Lu, Z., Vesselinov, V.V., Lei, H., Identifying Aquifer Heterogeneities using the Level Set Method, AGU Fall Meeting, San Francisco, CA, 2016. <a href="presentations/zhiming et al Identifying Aquifer Heterogeneities using the Level Set Method AGU 2016.pdf" target="_blank">PDF</a>
</li>
<li>
Hansen, S.K., Haslauer, C.P., Cirpka, O.A., Vesselinov, V.V., Prediction of Breakthrough Curves for Conservative and Reactive Transport, AGU Fall Meeting, San Francisco, CA, 2016. <a href="presentations/hansen et al Prediction of Breakthrough Curves for Conservative and Reactive Transport AGU 2016.pdf" target="_blank">PDF</a>
</li>
<li>
Zhang, X., Vesselinov, V.V., Bi-Level Decision Making for Supporting Energy and Water Nexus, AGU Fall Meeting, San Francisco, CA, 2016. <a href="presentations/zhang vesselinov Bi-Level Decision Making for Supporting Energy and Water Nexus AGU 2016.pdf" target="_blank">PDF</a>
</li>
<li>
Lin, Y., Vesselinov, V.V., O'Malley, D., Wohlberg, B., Hydraulic Inverse Modeling using Total-Variation Regularization with Relaxed Variable-Splitting, AGU Fall Meeting, San Francisco, CA, 2016. <a href="presentations/lin et al Hydraulic Inverse Modeling TV AGU 2016.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., O'Malley, D., Katzman, D., ZEM: Integrated Framework for Real-Time Data and Model Analyses for Robust Environmental Management Decision Making, Waste Management Symposium, Phoenix, AZ, 2016. <a href="presentations/vesselinov ZEM LA-UR-16-21469 wmsym2016.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., O'Malley, D., Katzman, D., Model-Assisted Decision Analyses Related to a Chromium Plume at Los Alamos National Laboratory, Waste Management Symposium, Phoenix, AZ, 2015. <a href="presentations/vesselinov wmsym2015_LANL_Cr_BIGDT_LA-UR-15-21965.pdf" target="_blank">PDF</a>
</li>
<li>
O'Malley, D., Vesselinov, V.V., Bayesian Information-Gap (BIG) Decision Analysis Applied to a Geologic CO2 Sequestration Problem, AGU Fall Meeting, San Francisco, CA, 2014. <a href="presentations/omalley_biguq_LAUR_14-28376.pdf" target="_blank">PDF</a>
</li>
<li>
Cushman, J.H., Vesselinov, V.V., O'Malley, D., Random dispersion coefficients and Tsallis entropy, AGU Fall Meeting, San Francisco, CA, 2014. <a href="presentations/omalley_tsallisentropy_LAUR_14-29018.pdf" target="_blank">PDF</a>
</li>
<li>
Bakarji, J., O'Malley, D., Vesselinov, V.V., A Social Dynamics Dependent Water Supply Well Contamination Model, LANL Postdoc Research Conference, 2014. <a href="presentations/bakarji_socialdynamics_LAUR_14-24002.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Alexandrov, B.A, Model-free Source Identification, AGU Fall Meeting, San Francisco, CA, 2014. <a href="presentations/vesselinov bss-agu2014-LA-UR-14-29163.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Katzman, D., Broxton, D., Birdsell, K., Reneau, S., Vaniman, D., Longmire, P., Fabryka-Martin, J., Heikoop, J., Ding, M., Hickmott, D., Jacobs, E., Goering, T., Harp, D., Mishra, P., Data and Model-Driven Decision Support for Environmental Management of a Chromium Plume at Los Alamos National Laboratory (LANL), Waste Management Symposium 2013, Session 109: ER Challenges: Alternative Approaches for Achieving End State, Phoenix, AZ, February 28, 2013. <a href="presentations/wmsym20130304splitanimations-LA-UR-13-21534.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Harp, D., Katzman, D., Model-driven decision support for monitoring network design based on analysis of data and model uncertainties: methods and applications, H32F: Uncertainty Quantification and Parameter Estimation: Impacts on Risk and Decision Making, AGU Fall meeting, San Francisco, December 3-7, 2012, LA-UR-13-20189, (invited). <a href="presentations/agu20121209mads_ascem_big_splitted.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., et al., AGNI: Coupling Model Analysis Tools and High-Performance Subsurface Flow and Transport Simulators for Risk and Performance Assessments, XIX International Conference on Computational Methods in Water Resources (CMWR 2012), University of Illinois at Urbana-Champaign, June 17-22, 2012. <a href="presentations/LA-UR-12-22187 agni cmwr 20120614.pdf" target="_blank">PDF</a>
</li>
<li>
Leif Zinn-Bjorkman, L., Numerical Optimization using the Levenberg-Marquardt Algorithm, EES-16 Seminar Series, LA-UR-11-12010, 2011. <a href="presentations/Leif_LM_presentation_m.pdf" target="_blank">PDF</a>
</li>
<li>
Harp, D., Vesselinov, V.V., Recent developments in MADS algorithms: ABAGUS and Squads, EES-16 Seminar Series, LA-UR-11-11957, 2011. <a href="presentations/dharp_bb_2011_01.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., et al., Environmental Management Modeling Activities at Los Alamos National Laboratory (LANL), Department of Energy Technical Exchange Meeting, Performance Assessment Community of Practice, Hanford, April 13-14, 2010. <a href="presentations/LANL EM Modeling 20100413.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Harp, D., Koch, R., Birdsell, K., Katzman, K., Tomographic inverse estimation of aquifer properties based on pressure variations caused by transient water-supply pumping, AGU Meeting, San Francisco, CA, December 15-19, 2008. <a href="presentations/vesselinov LA-UR-08-0655 agu08 hydro tomography 20090203.pdf" target="_blank">PDF</a>
</li>
<li>
Vesselinov, V.V., Uncertainties in Transient Capture-Zone Estimates, CMWR 2006 XVI International Conference on Computational Methods in Water Resources, Copenhagen, Denmark, 18-22 June 2006. <a href="presentations/vesselinov LA-UR-06-2305 cmwr06 transeint capture zone 060622.pdf" target="_blank">PDF</a>
</li>
</ul>
</div>
</div>
</li>
<li>
<div class="collapsible-header">Reports</div>
<div class="collapsible-body">
<div class="left-align" style="padding-left: 30px;">
<ul class="browser-default" style="padding-left: 0px;">
<li>Fate and Transport Investigations Update for Chromium Contamination from Sandia Canyon, LA-UR-08-4702, 2008. <a href="reports/LA-UR-08-4702-Fate&Trans_Cr_Sandia_Jul08.pdf">PDF</a></li>
<li>Pajarito Canyon Investigation Report, LA-UR-08-5852, 2008. <a href="reports/LA-UR-08-5852-Paj_Cyn_IR.pdf">PDF</a></li>
<li>Decision analysis for addressing groundwater contaminants from the radioactive liquid waste treatment facility released into Mortandad canyon, LA-UR-05-6397, 2005. <a href="reports/LA-UR-05-6397 Decision Analysis-GWContaminants020106.pdf">PDF</a></li>
</ul>
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