Jaideep Ray

Technical Staff

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Technical Staff

jairay@sandia.gov

Google Scholar

(925) 294-3638

Sandia National Laboratories, California
P.O. Box 969
Livermore, CA 94551-0969

I am an aerodynamicist by training. I received my Ph.D. in Mechanical and Aerospace Engineering in 1999 from Rutgers, The State University of New Jersey.

I work broadly in computational science, with particular emphasis on merging data and models (data-model fusion). This is also called calibration.

Research Interests

My research interests are:

  • Bayesian inverse problems, where I develop Markov chain Monte Carlo methods, multiscale random field models, surrogate models for climate models and Reynolds-averaged Navier-Stokes simulators
  • Epidemiology, including characterization of partially-observed outbreaks
  • High-order numerical methods, especially development of fourth-order finite-difference methods for block-structured adaptively refined meshes. I use these methods for simulating flames.
  • Compressible fluid dynamics, including development of analytical models for Richtmeyer-Meshkov instabilities and the calibration of turbulence models

I have been funded numerous times as a PI by the US Department of Defense/Defense Threat Reduction Agency, US Department of Energy/Office of Science and by Sandia’s Laboratory Directed R & D program.

I publish papers, technical reports as well as release open-source software. You can access them from the links above.

News and media

Recent Publications

Nathan Miller, Steven J. Beresh, Eric Joshua Parish, Jaideep Ray, Matthew F. Barone, (2022). Data-Driven Calibration of RANS Closure Models with PIV 2022 Symposium on Turbulence ModelingRoadblocks, and the Potential for Machine Learning Document ID: 1574637

Steven J. Beresh, Nathan Miller, Eric Joshua Parish, Matthew F. Barone, Jaideep Ray, (2022). Creating Data-Driven Turbulence Models Using PIV 20th International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics Document ID: 1551638

David E. Kittell, Dan Stefan Bolintineanu, Jaideep Ray, Uma Balakrishnan, (2022). A Survey of Explicit 3D Mesoscale Simulations and Autoregressive Models for Shock Wave Propagation in Heterogeneous Randomized Media Gordon Research Conference on Energetic Materials Document ID: 1551423

Cosmin Safta, Jaideep Ray, (2022). Development of a Spatially Regularized Detector for Emergent/Re-emergent Disease Outbreaks Isba 2022 Document ID: 1551891

T Banerjee, Jaideep Ray, Matthew F. Barone, Stefan P. Domino, (2022). Qualifying Training Datasets for Data-Driven Turbulence Closures AIAA Aviation Forum 2022 Document ID: 1551971

Steven J. Beresh, Nathan Miller, Eric Joshua Parish, Matthew F. Barone, Jaideep Ray, (2022). Creating Data-Driven Turbulence Models Using PIV 20th International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics Document ID: 1539778

Nathan Miller, Steven J. Beresh, Jaideep Ray, (2022). Validation of Calibrated k-epsilon Model Parameters for Jet-in-Crossflow Aiaaj https://www.osti.gov/search/identifier:1872012 Document ID: 1517446

Tania Banerjee, Jaideep Ray, Matthew F. Barone, Stefan P. Domino, (2022). Qualifying Training Datasets for Data-Driven Turbulence Closures AIAA Aviation Conference Document ID: 1516596

T Banerjee, Jaideep Ray, Matthew F. Barone, Stefan P. Domino, (2022). Qualifying Training Datasets for Data-Driven Turbulence Closures AIAA Aviation Document ID: 1516740

Jaideep Ray, Matthew F. Barone, Stefan P. Domino, (2022). Interpreting data-driven turbulence closures using GLMMs Artificial Intelligence for Robust Engineering and Science Document ID: 1505618

Katherine Regina Cauthen, Prashant Rai, Nicholas Hale, Laura Freeman, Jaideep Ray, (2022). Detecting technological maturity from bibliometric patterns Expert Systems with Applications https://www.osti.gov/search/identifier:1870490 Document ID: 1494250

Nathan Miller, Steven J. Beresh, Matthew F. Barone, Eric Joshua Parish, Jaideep Ray, (2022). Data-Driven Calibration of RANS Closure Models with PIV 2022 Symposium on Turbulence ModelingRoadblocks, and the Potential for Machine Learning Document ID: 1482278

Cosmin Safta, Jaideep Ray, (2022). Data Science Applications in a Bayesian Framework SNL-UCB Research Collaboration Workshop Document ID: 1471260

Steven J. Beresh, Nathan Miller, Eric Joshua Parish, Matthew F. Barone, Jaideep Ray, (2021). Creating Data-Driven Turbulence Models Using PIV 20th International Symposium on Applications of Laser and Imaging Techniques to Fluid Mechanics Document ID: 1405272

Kathryn Anne Maupin, Jaideep Ray, Teresa Portone, (2021). Informing Missing Physics with Model Form Error and Model Selection 8th European Congress on Computational Methods in Applied Sciences and Engineering Document ID: 1404243

Chi Khac Hoang, Kamaljit Singh Chowdhary, Kookjin.lee@asu.edu, Jaideep Ray, (2021). Projection-based Model Reduction of Dynamical Systems using Space-time Subspace and Machine Learning Wccm-apcom 2022 Document ID: 1391611

Jaideep Ray, Matthew F. Barone, Stefan P. Domino, (2021). Assembling training datasets for generalizable machine-learned turbulence models UC Davis/Sandia Symposium Document ID: 1380993

Ron A. Oldfield, Sharlotte LorraineBolyard Kramer, Ahmad Rushdi, Erin Acquesta, John M Emery, Paul Allen Kuberry, Jaideep Ray, Sarah Ackerman, Eric Christopher Cyr, Gary Joseph Saavedra, Clayton Hughes, Suma George Cardwell, John Darby Smith, (2021). The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 Plans ASC AMLI Program Review Document ID: 1381086

Kamaljit Singh Chowdhary, Jaideep Ray, Chi Khac Hoang, Klee263@asu.edu, (2021). Bayesian calibration of hypersonic turbulent flow models using machine learning and reduced order modeling SIAM conference on uncertainty quantification Document ID: 1369529

Jaideep Ray, Matthew F. Barone, Stefan P. Domino, Tania Banerjee, Sanjay Ranka, (2021). Verification of Data-Driven Models of Physical Phenomena using Interpretable Approximation https://www.osti.gov/search/identifier:1821318 Document ID: 1357477

Matthew F. Barone, Jaideep Ray, Stefan P. Domino, (2021). Feature Selection, Clustering, and Prototype Placement for Turbulence Data Sets AIAA Journal https://www.osti.gov/search/identifier:1822234 Document ID: 1357337

Rosalie A Multari, Curtis Co, Robert M. Ferrizz, Lisa Michelle Miller, Edward G. Bujewski, Joseph Sean Howard, Matthew Nelson, Meghan Cynthia Dailey, Scarlett Marklin, Donald A. Kalinich, Jaideep Ray, (2021). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data Sandia Machine Learning and Deep Learning Workshop 2021 https://www.osti.gov/search/identifier:1877984 Document ID: 1331874

Rosalie A Multari, Curtis Co, Robert M. Ferrizz, Lisa Michelle Miller, Edward G. Bujewski, Joseph Sean Howard, Matthew Nelson, Meghan Cynthia Dailey, Scarlett Marklin, Donald A. Kalinich, Jaideep Ray, (2021). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data Sandia Machine Learning and Deep Learning Workshop 2021 https://www.osti.gov/search/identifier:1877985 Document ID: 1331917

Jaideep Ray, Matthew F. Barone, Stefan P. Domino, (2021). Assembling training datasets for generalizable machine-learned turbulence models Sandia ML/DL Workshop Document ID: 1331435

Kookjin Lee, Jaideep Ray, Cosmin Safta, (2021). The predictive skill of convolutional neural network models for disease forecasting Public Library of Science – One https://www.osti.gov/search/identifier:1810341 Document ID: 1330093

Cosmin Safta, Jaideep Ray, Patrick Joseph Blonigan, (2021). Forecasting Multi-Wave Epidemics Through Bayesian Inference Archives of Computational Methods in Engineering https://www.osti.gov/search/identifier:1810763 Document ID: 1305423

Brian Alan Robbins, Peter Coffin, Paul M Delgado, Justin Smith, Lawrence Dechant, Katya Marie Casper, Jaideep Ray, (2021). Aerospace Vehicle Random Vibration Research at Sandia National Laboratories Seminar at The University of Texas – El Paso https://www.osti.gov/search/identifier:1863198 Document ID: 1293643

Jaideep Ray, (2021). Verification of ML models via interpretable approximations CIS External Advisory Board Review 2021 https://www.osti.gov/search/identifier:1856299 Document ID: 1280157

Svitana Volkova, David John Stracuzzi, Jenifer Shafer, Jaideep Ray, Laura Pullum, (2021). Robustness and Validation of Model and Digital Twins Deployment https://www.osti.gov/search/identifier:1770631 Document ID: 1268430

Cosmin Safta, Patrick Joseph Blonigan, Jaideep Ray, (2021). Forecasting multi-wave epidemics through Bayesian Inference – Application to COVID-19 Workshop on Modeling and Simulation of Infectious Diseases January 29, 2021 https://www.osti.gov/search/identifier:1843323 Document ID: 1266797

Jaideep Ray, Matthew F. Barone, Stefan P. Domino, (2021). Assembling training datsets for generalizable machine-learned models of physical phenomena Artificial Intelligence for Robust Engineering and Science https://www.osti.gov/search/identifier:1842253 Document ID: 1256245

Y-T Lin, J Neumann, Emily S Miller, R Posner, A Mallela, Cosmin Safta, Jaideep Ray, G Thakur, S and Hlavacek Chinthavali, (2021). Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification Emerging Infectious Diseases https://www.osti.gov/search/identifier:1782566 Document ID: 1255299

Jaideep Ray, Patrick Joseph Blonigan, Cosmin Safta, Khachik Sargsyan, (2021). Characterization of Partially Observed Epidemics Through Bayesian Inference – Application to COVID-19 Forecasts Virtual COVID-19 Summit https://www.osti.gov/search/identifier:1842250 Document ID: 1255928

Cosmin Safta, Kookjin Lee, Jaideep Ray, (2020). Predictive Skill of Deep Learning Models Trained on Limited Sequence Data https://www.osti.gov/search/identifier:1688570 Document ID: 1208093

Jaideep Ray, Fulton Wang, Christopher J. Young, (2020). A Multi-Instance learning Framework for Seismic Detectors https://www.osti.gov/search/identifier:1673169 Document ID: 1196842

Cosmin Safta, Jaideep Ray, Khachik Sargsyan, (2020). Characterization of Partially Observed Epidemics through Bayesian Inference – Application to COVID-19 Computational Mechanics https://www.osti.gov/search/identifier:1670756 Document ID: 1183665

Katherine Regina Cauthen, Prashant Rai, Jaideep Ray, (2020). ANN classifier for technological maturity based on bibliometric patterns Sandia ML/DL Workshop https://www.osti.gov/search/identifier:1811984 Document ID: 1183037

Rosalie A Multari, Curtis Co, Paul Girard Cummings, Robert Ferrizz, Shawn Martin, Lisa Michelle Miller, Nishant Bhupendra Patel, Lisa A. Walla, Jaideep Ray, (2020). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data SNL Machine Learning Deep Learning Workshop (MLDL) https://www.osti.gov/search/identifier:1811805 Document ID: 1182990

Cosmin Safta, Jaideep Ray, (2020). Characterization of Partially Observed Epidemics – Application to COVID-19 Forecasts student intern seminar series https://www.osti.gov/search/identifier:1811796 Document ID: 1183151

Patrick D. Finley, Cosmin Safta, Jaideep Ray, Patrick Joseph Blonigan, Laura Erin Jones, (2020). Covid-19 Forcasting for Iraq Presentation to US Embassy in IRAQ on Sandia Disease Models Document ID: 1172682

Cosmin Safta, Jaideep Ray, (2020). COVID-19 Forecasting via COMBO Presentation to DOE https://www.osti.gov/search/identifier:1807656 Document ID: 1161311

Cosmin Safta, Jaideep Ray, Erin Acquesta, Thomas Anthony Catanach, Kamaljit Singh Chowdhary, Bert Debusschere, Edgar Galvan, Gianluca Geraci, Mohammad Khalil, Teresa Portone, (2020). Characterization of Partially Observed Epidemics – Application to COVID-19 https://www.osti.gov/search/identifier:1763554 Document ID: 1140394

Matthew F. Barone, Jaideep Ray, Stefan P. Domino, (2020). Feature Selection, Clustering, and Analysis of Turbulence Data Sets AIAA Scitech 2021 Document ID: 1139479

Jaideep Ray, Sarah Kieweg, Derek John Dinzl, Brian Carnes, V. Gregory Weirs, Brian Andrew Freno, Micah Andrew Howard, Thomas M. Smith, (2020). Estimation of Inflow Uncertainties in Laminar Hypersonic Double-Cone Experiments AIAA Journal https://www.osti.gov/search/identifier:1619241 Document ID: 1127683

Rosalie A Multari, Jaideep Ray, Lisa Michelle Miller, Robert Ferrizz, Paul Cummings, Curtis Co, Lisa A. Walla, Shawn Martin, (2020). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data CoDA 2020 https://www.osti.gov/search/identifier:1766727 Document ID: 1091707

Rosalie A Multari, Jaideep Ray, Lisa Michelle Miller, Robert Ferrizz, Paul Girard Cummings, Curtis Co, Lisa A. Walla, Shawn Martin, (2020). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data CoDA 2020 Document ID: 1079566

Jaideep Ray, Christopher J. Young, Fulton Wang, (2019). Detecting seismic wave arrivals using multi-instance learn American Geophysical Union https://www.osti.gov/search/identifier:1643528 Document ID: 1067046

Fulton Wang, Jaideep Ray, Ali Pinar, (2019). Multiple Instance Learning: Application to Seismic Event Detection and Open Problems Span https://www.osti.gov/search/identifier:1646086 Document ID: 986390

Nickolas Winovich, Ahmad Rushdi, Eric T. Phipps, Jaideep Ray, Guang Lin, Mohamed Salah Ebeida, (2019). Rigorous Data Fusion for Computationally Expensive Simulations https://www.osti.gov/search/identifier:1560809 Document ID: 1009783

Jaideep Ray, Fulton Wang, Christopher J. Young, (2019). Detecting seismic wave arrivals using multi-instance learning American Geophysical Union Document ID: 985496

Nathan Miller, Steven J. Beresh, Jaideep Ray, (2019). Validation of calibrated k-ε model parameters for jet-in-crossflow AIAA Aviation Forum https://www.osti.gov/search/identifier:1640137 Document ID: 971826

Jaideep Ray, Katherine Regina Cauthen, Sophia Lefantzi, Lynne Burks, (2019). Conditioning multi-model ensembles for disease forecasting https://www.osti.gov/search/identifier:1492995 Document ID: 902833

Micheal W. Glass, Paul Crozier, Micah Andrew Howard, Sarah Kieweg, Jaideep Ray, (2019). SNL ASC/ATDM FY19 SPARC L2 Milestone Initial Review: Credibility, Performance, and Scalability SNL ASC/ATDM FY19 SPARC L2 Milestone Initial Review https://www.osti.gov/search/identifier:1643833 Document ID: 913185

Robert Forrest, Jaideep Ray, Christopher J. Young, (2019). Detecting Low Magnitude Seismic Events Using Convolutional Neural Networks SnT 2019 Document ID: 901947

Sarah Kieweg, Jaideep Ray, V. Gregory Weirs, Brian Carnes, Derek John Dinzl, Brian Andrew Freno, Micah Andrew Howard, Eric T. Phipps, William J. Rider, Thomas M. Smith, (2019). Validation Assessment of Hypersonic Double-Cone Flow Simulations using UQ, Sensitivity Analysis, and Validation Metrics AIAA SciTech https://www.osti.gov/search/identifier:1592001 Document ID: 901745

Robert Forrest, Jaideep Ray, Christopher J. Young, (2019). Detecting Low Magnitude Seismic Events Using Convolutional Neural Networks SSA Annual Meeting Document ID: 901946

Patrick D. Finley, Patrick D. Finley, Patrick D. Finley, Patrick D. Finley, Drew Levin, Drew Levin, Drew Levin, Drew Levin, Tatiana Paz Flanagan, Tatiana Paz Flanagan, Tatiana Paz Flanagan, Tatiana Paz Flanagan, Walter Eugene Beyeler, Walter Eugene Beyeler, Walter Eugene Beyeler, Walter Eugene Beyeler, Michael David Mitchell, Michael David Mitchell, Michael David Mitchell, Michael David Mitchell, Jaideep Ray, Jaideep Ray, Jaideep Ray, Jaideep Ray, Melanie Moses, Melanie Moses, Melanie Moses, Melanie Moses, Stephanie Forrest, Stephanie Forrest, Stephanie Forrest, Stephanie Forrest, (2018). Biologically inspired approaches for biosurveillance anomaly detection and data fusion https://www.osti.gov/search/identifier:1489542 Document ID: 901426

Jaideep Ray, Sarah Kieweg, Derek John Dinzl, Brian Carnes, V. Gregory Weirs, Brian Andrew Freno, Micah Andrew Howard, Thomas M. Smith, I. Nompelis, G.V. Candler, (2018). Estimation of inflow uncertainties in laminar hypersonic double-cone experiments AIAA SciTech Forum https://www.osti.gov/search/identifier:1761392 Document ID: 901660

Robert Forrest, Jaideep Ray, Christopher J. Young, (2018). Detecting Low Magnitude Seismic Events Using Convolutional Neural Networks American Geophysical Union https://www.osti.gov/search/identifier:1807058 Document ID: 900570

Sarah Kieweg, Jaideep Ray, V. Gregory Weirs, Brian Carnes, Derek John Dinzl, Brian Andrew Freno, Micah Andrew Howard, Eric T. Phipps, William J. Rider, Thomas M. Smith, Ioannis Nompelis, Graham Candler, (2018). Validation Assessment of Hypersonic Double-Cone Flow Simulations using Uncertainty Quantification, Sensitivity Analysis, and Validation Metrics AIAA SciTech https://www.osti.gov/search/identifier:1761106 Document ID: 900337

Jaideep Ray, L Burks, Christopher J. Young, (2018). Detecting P-waves in streaming seismic data using a hidden Markov model American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1761105 Document ID: 900368

Jaideep Ray, Sarah Kieweg, Derek John Dinzl, Brian Carnes, V. Gregory Weirs, Brian Andrew Freno, Micah Andrew Howard, Thomas M. Smith, Ioannis Nompelis, G.V Candler, (2018). Estimation of inflow uncertainties in laminar hypersonic double-cone experiments AIAA SciTech Forum and Exposition https://www.osti.gov/search/identifier:1576878 Document ID: 889911

Micah Andrew Howard, Derek John Dinzl, Ryan Michael Keedy, Jaideep Ray, Jon Murray, (2018). Advances in Aerothermodynamic Modeling and Simulation at Sandia National Laboratories AIAA Defense 2019 Document ID: 889943

Nathan Miller, Steven J. Beresh, Jaideep Ray, (2018). Validation of calibrated k-ε model parameters for jet-in-crossflow 2019 AIAA Aviation and Aeronautics Forum and Exposition Document ID: 889083

Jaideep Ray, Lawrence Dechant, Sophia Lefantzi, Julia Ling, Srinivasan Arunajatesan, (2018). Robust Bayesian calibration of a k − ε model for compressible jet-in-crossflow simulations American Institute for Aeronautics and Astronautics Journal https://www.osti.gov/search/identifier:1478069 Document ID: 830291

Jie Bao, Zhangshuan Hou, Jaideep Ray, Maoyi Huang, Laura Painton Swiler, Huiying Ren, (2018). Soil Moisture Estimation Using Tomographic Ground Penetrating Radar in a MCMC- Bayesian Framework Stochastic Environmental Research and Risk Assessment https://www.osti.gov/search/identifier:1496976 Document ID: 809516

Sarah Kieweg, Jaideep Ray, V. Gregory Weirs, Brian Carnes, Derek John Dinzl, Brian Andrew Freno, Micah Andrew Howard, William J. Rider, Thomas M. Smith, (2018). Uncertainty Quantification, Sensitivity Analysis, and Validation Assessment of Hypersonic Double-Cone Flow Simulations AIAA SciTech Forum Document ID: 808576

Mohamed Salah Ebeida, Laura Painton Swiler, Eric T. Phipps, Jaideep Ray, (2018). Solving classification problems using implicit Voronoi cells and local hyperplane sampling Research Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification https://www.osti.gov/search/identifier:1524960 Document ID: 808057

V. Gregory Weirs, Brian Carnes, Derek John Dinzl, Micah Andrew Howard, Sarah Kieweg, Jaideep Ray, William J. Rider, Thomas M. Smith, V. Gregory Weirs, (2018). A Validation Study for a Hypersonic Flow Model ASME Verification and Validation Symposium https://www.osti.gov/search/identifier:1515624 Document ID: 796864

Jaideep Ray, Lynne Schleiffarth Burks, Katherine Regina Cauthen, (2018). Conditioning Multi-model Ensembles for Disease Forecasting SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1575176 Document ID: 784612

Jaideep Ray, (2018). Efficient source reconstruction using neutron data Diagnostics venture workshop on data fusion https://www.osti.gov/search/identifier:1507483 Document ID: 783979

Donna M. Edwards, Jaideep Ray, Mark D. Tucker, Jonathan Hunt Whetzel, Katherine Regina Cauthen, (2018). Final Documentation: Incident Management And Probabilities Courses of action Tool (IMPACT) https://www.osti.gov/search/identifier:1430792 Document ID: 772915

Michael Robert Brzustowicz, Jaideep Ray, (2018). Tensor Decomposition of Airborne Telemetry Data Coda 2018 https://www.osti.gov/search/identifier:1498437 Document ID: 761430

Jaideep Ray, Lynne Schleiffarth Burks, Katherine Regina Cauthen, Sophia Lefantzi, (2018). Conditioning multi-model ensembles for disease forecasting DTRA Chem/Bio Defense Technical Interchange Meeting https://www.osti.gov/search/identifier:1514819 Document ID: 760352

Jaideep Ray, Lynne Schleiffarth Burks, Katherine Regina Cauthen, Sophia Lefantzi, (2018). Conditioning multi-model ensembles for disease forecasting DTRA Chem/Bio Defense Technical Interchange Meeting https://www.osti.gov/search/identifier:1514818 Document ID: 760354

Brian Carnes, Derek John Dinzl, Micah Andrew Howard, Sarah Kieweg, Jaideep Ray, William J. Rider, Thomas M. Smith, V. Gregory Weirs, (2018). A Validation Study for a Hypersonic Flow Model ASME Verification and Validation Symposium Document ID: 760623

Michael Robert Brzustowicz, Jaideep Ray, (2018). Tensor Decomposition of Airborne Telemetry Data Coda 2018 Document ID: 749756

Eric T. Phipps, Daniel Z. Turner, Kathryn Anne Maupin, Jaideep Ray, Denis Ridzal, (2018). SNL ATDM Math Libraries ? Data Propagation Components 2018 ECP Annual Meeting https://www.osti.gov/search/identifier:1806499 Document ID: 749743

Thomas A. Reichardt, Jeffery A. Greathouse, Jaideep Ray, Julia M. Craven, Samuel Wilson Eaton, Patrick V. Brady, Thomas J Kulp, (2018). Developing the Color Key for "Hyperspectral Google Earth" Geoscience External Advisery Board https://www.osti.gov/search/identifier:1806474 Document ID: 749505

Jaideep Ray, M Huang, H. Ren, J. Bao, Z. Hou, Laura Painton Swiler, (2017). Multi-chain Markov chain Monte Carlo methods for computationally expensive models American Geophysical Union https://www.osti.gov/search/identifier:1488741 Document ID: 727368

Robert Forrest, Jaideep Ray, Clifford Hansen, Christopher J. Young, Lynne Schleiffarth Burks, (2017). Using discrete wavelet transform features to discriminate between noise and phases in seismic waveforms Agu 2017 https://www.osti.gov/search/identifier:1488333 Document ID: 737609

Lynne Schleiffarth Burks, Robert Forrest, Jaideep Ray, Ronald (Ensco) Brogan, (2017). Detecting Seismic Events Using a Supervised Hidden Markov Model (HMM) American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1487011 Document ID: 727627

Jaideep Ray, Sophia Lefantzi, Katherine Regina Cauthen, (2017). Gap-filling disease activity data DTRA Chem/Bio Science & Technology Conference https://www.osti.gov/search/identifier:1510918 Document ID: 725261

Huiying Ren, Jaideep Ray, Z Hou, M Huang, J Bao, Laura Painton Swiler, (2017). Bayesian Inversion of Seismic and Electromagnetic Data for Marine Gas Reservoir Characterization Using Multi-chain Markov Chain Monte Carlo Sampling Journal of Applied Geophysics https://www.osti.gov/search/identifier:1406375 Document ID: 714443

Katherine Regina Cauthen, Jaideep Ray, Sophia Lefantzi, Lynne Schleiffarth Burks, Jina Lee, (2017). Dynamic Model Averaging for Disease Forecasting Chemical and Biological Defense Science and Technology Conference https://www.osti.gov/search/identifier:1509801 Document ID: 703463

Jaideep Ray, Maoyi Huang, (2017). Scalable Adaptive CHain Ensemble Sampling (SACHES) ASCR Applied Math PI meeting https://www.osti.gov/search/identifier:1470946 Document ID: 671605

Laura Painton Swiler, Jaideep Ray, Laura Painton Swiler, Mohamed Salah Ebeida, Maoyi (PNNL) Huang, Zhangshuan (PNNL) Hou, Jie (PNNL) Bao, Huiying (PNNL) Ren, (2017). SAChES: Scalable Adaptive Chain-Ensemble Sampling https://www.osti.gov/search/identifier:1380101 Document ID: 659757

Lawrence Dechant, Jaideep Ray, Sophia Lefantzi, Julia Ling, Srinivasan Arunajatesan, (2017). K-ε Turbulence Model Parameter Estimates Using an Approximate Self-Similar Jet-in-Crossflow Solution Journal of Propulsion and Power https://www.osti.gov/search/identifier:1429825 Document ID: 659670

Jaideep Ray, Robert Forrest, Clifford Hansen, Christopher J. Young, (2017). Using discrete wavelet transform features to discriminate between noise and phases in seismic waveforms Agu 2017 Document ID: 659206

Lynne Schleiffarth Burks, Robert Forrest, Jaideep Ray, Christopher J. Young, (2017). Detecting seismic events using a supervised hidden Markov model American Geophysical Union (AGU) Annual Meeting Document ID: 659211

Diego Tomas Gomez, Joseph P. Kenny, Jaideep Ray, (2017). Classifying Seismic Events for Monitoring Posters on the Patio https://www.osti.gov/search/identifier:1508480 Document ID: 638318

Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2017). Robust Bayesian calibration of a RANS model for jet-in-crossflow simulations AIAA Aviation https://www.osti.gov/search/identifier:1458188 Document ID: 625252

Katherine Regina Cauthen, Jaideep Ray, Sophia Lefantzi, Lynne Schleiffarth Burks, Jina Lee, (2017). Dynamic Model Averaging for Disease Forecasting Chemical and Biological Defense Science and Technology Conference Document ID: 624758

Donna M. Edwards, Mark D. Tucker, Lynn I. Yang, Jaideep Ray, Jonathan Hunt Whetzel, Katherine Regina Cauthen, (2017). Incident Management Probabilities And Courses of action Tool (IMPACT) Brochure Document ID: 623788

Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2017). Robust Bayesian Calibration of a RANS Model for Jet-in-Crossflow Simulations American Institude for Aeronautics and Astronautics Aviation Conference https://www.osti.gov/search/identifier:1456715 Document ID: 623191

Jaideep Ray, Clifford Hansen, Robert Forrest, Christopher J. Young, (2017). Using discrete wavelet transforms to discriminate between noise and phases in seismic waveforms Seismological Society of America Annual Meeting https://www.osti.gov/search/identifier:1456582 Document ID: 612246

Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2017). Learning an eddy viscosity model using shrinkage and Bayesian calibration: A jet-in-crossflow case study ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part BMechanical Engineering https://www.osti.gov/search/identifier:1399494 Document ID: 599495

Jaideep Ray, Sophia Lefantzi, Lawrence Dechant, Srinivasan Arunajatesan, (2017). Estimating and verifying k-ε model coefficients for jet-in-crossflow simulations SIAM Computational Science and Engineering https://www.osti.gov/search/identifier:1427154 Document ID: 589210

Jaideep Ray, Sophia Lefantzi, (2017). Conditioning multi-model ensembles for disease forecasting (poster) Technical Interaction Meeting, Biosurveillance Ecosystem https://www.osti.gov/search/identifier:1458323 Document ID: 578592

Jaideep Ray, Sophia Lefantzi, (2017). Conditioning multi-model ensembles for disease forecasting Technical Ineraction Meeting, Biosurveillance Ecosystem https://www.osti.gov/search/identifier:1455347 Document ID: 578600

Lawrence Dechant, Jaideep Ray, Sophia Lefantzi, Julia Ling, Srinivasan Arunajatesan, (2017). K-ε Turbulence Model Parameter Estimates Using an Approximate Self-Similar Jet-in-Crossflow Solution AIAA Journal https://www.osti.gov/search/identifier:1399490 Document ID: 578385

Jaideep Ray, Glen Hansen, Robert Forrest, Christopher J. Young, (2017). Using discrete wavelet transforms to discriminate between noise and phases in seismic waveforms Seismological Society of America Annual Meeting Document ID: 566674

Sophia Lefantzi, Ronald A. Brogan, Robert Forrest, Clifford Hansen, Jaideep Ray, Christopher J. Young, (2016). Detecting seismic waves using binary classification and hidden Markov models Agu https://www.osti.gov/search/identifier:1414651 Document ID: 565649

Jaideep Ray, Laura Painton Swiler, Jie Bao, Zhangshuan Hou, Maoyi Huang, (2016). Using a multi-chain Markov chain Monte Carlo method to calibrate a geoscientific model american geophysical union, fall meeting https://www.osti.gov/search/identifier:1524688 Document ID: 565402

Joshua Bauer, Jaideep Ray, Mohammad Khalil, (2016). SUMMIT Wildfire App: A SUMMIT application leveraging new R&D capabilities Presentation of SUMMIT work to DHS S&T First Responders Group https://www.osti.gov/search/identifier:1428157 Document ID: 564794

Robert Meagher, Cameron Scott Ball, Aashish Priye, Ronald F. Renzi, Yooli Kim Light, Oscar Negrete, Sara Bird, Jaideep Ray, Lark (UC Davis) Coffey, Cody (UC Davis) Steiner, Sara (UC Davis) Wheeler, (2016). An Integrated Microfluidic System Enabling Real-Time Autonomous Field Surveillance for Vector-Borne Pathogens American Institute of Chemical Engineers annual conference https://www.osti.gov/search/identifier:1410769 Document ID: 554512

Lawrence Dechant, Jaideep Ray, Sophia Lefantzi, Julia Ling, Srinivasan Arunajatesan, (2016). K-ε Turbulence Model Parameter Estimates Using an Approximate Self-similar Jet-in-Crossflow Solution 47th AIAA Fluid Dynamics Conference https://www.osti.gov/search/identifier:1415716 Document ID: 532550

Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2016). Robust Bayesian Calibration of a RANS Model for Jet-in-Crossflow Simulations AIAA Aviation https://www.osti.gov/search/identifier:1408380 Document ID: 542693

Cameron Scott Ball, Aashish Priye, Ronald F. Renzi, Jonathan Ivers Helm, Mark Richard Claudnic, Stephen Mueller, Jaideep Ray, Chris Barker, Sarah Wheeler, Cody Steiner, Lark Coffey, Robert Meagher, (2016). Real-time autonomous surveillance for vector-borne pathogens Microtas 2016 https://www.osti.gov/search/identifier:1399658 Document ID: 531583

Katherine Regina Cauthen, Gregory Lambert, Jaideep Ray, Sophia Lefantzi, (2016). Imputing data that are missing at high rates using a boosting algorithm JSM Proceedings https://www.osti.gov/search/identifier:1431477 Document ID: 529963

Jaideep Ray, Sophia Lefantzi, Joshua Bauer, Mohammad Khalil, Andrew J. Rothfuss, Katherine Regina Cauthen, Patrick D. Finley, Halley Smith, (2016). Online mapping and forecasting of epidemics using open-source indicators https://www.osti.gov/search/identifier:1562406 Document ID: 530162

Cameron Scott Ball, Robert Meagher, Aashish Priye, Ronald F. Renzi, Stephen Mueller, Jonathan Ivers Helm, Jaideep Ray, Chris Barker, Sarah Wheeler, William Reisen, Lark Coffey, (2016). Smart Trap, Real-time autonomous biosurveillance for mosquito-borne pathogens 2016 Biosciences External Advisory Board https://www.osti.gov/search/identifier:1529853 Document ID: 507807

Sophia Lefantzi, R. A. Brogan, Robert Forrest, Jaideep Ray, Christopher J. Young, (2016). Detecting seismic waves using a binary hidden Markov model classifier AGU Fall Meeting Document ID: 507281

Katherine Regina Cauthen, Gregory Joseph Lambert, Jaideep Ray, Sophia Lefantzi, (2016). Imputing data that are missing at high rates using a boosting algorithm Joint Statistical Meetings https://www.osti.gov/search/identifier:1373460 Document ID: 486890

Robert Meagher, Jaideep Ray, Ronald F. Renzi, Cameron Scott Ball, Aashish Priye, Stephen Mueller, Cody (UC Davis) Steiner, Sarah (UC Davis) Wheeler, Lark (UC Davis) Coffey, Chris (UC Davis) Barker, (2016). Real-time, Autonomous Biosurveillance for Vector-borne Viral Pathogens (SMART Traps) Assessing Risk for Emerging Arboviral Disease https://www.osti.gov/search/identifier:1366891 Document ID: 464771

Maoyi Huang, Jaideep Ray, Zhangshuan Hou, huiying Ren, Ying Liu, Laura Painton Swiler, (2016). On the Applicability of Surrogate-based MCMC-Bayesian Inversion to the Community Land Model: Case Studies at Flux Tower Sites Journal of Geophysical Research – Atmosphere https://www.osti.gov/search/identifier:1262239 Document ID: 464789

Peter Strazdins, Brendan Harding, Brian Lee, Jackson Mayo, Jaideep Ray, Robert C. Armstrong, (2016). Robust finite difference stencils for solving the advection equation International Conference on Computational Science https://www.osti.gov/search/identifier:1368998 Document ID: 464426

Sophia Lefantzi, Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2016). Estimation and rectification of model-form errors in transonic Reynolds-Averaged Navier Stokes simulations EMI & PMC 2016 https://www.osti.gov/search/identifier:1368774 Document ID: 443422

Laura Painton Swiler, Jaideep Ray, (2016). A Parallel MCMC Method Probabilistic Mechanics Conference https://www.osti.gov/search/identifier:1364726 Document ID: 443344

Maoyi Huang, Zhangshuan Hou, Jaideep Ray, Laura Painton Swiler, L Ruby Leung, (2016). An Uncertainty Quantification Framework for Land Models 2016 Land Model Benchmarking Workshop https://www.osti.gov/search/identifier:1364682 Document ID: 443590

Sophia Lefantzi, Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2016). Using LASSO to infer a high-order eddy viscosity model for k-epsilon RANS simulation of transonic flows ASME V&V Conference https://www.osti.gov/search/identifier:1422091 Document ID: 443034

Jaideep Ray, Laura Painton Swiler, Maoyi Huang, Zhangshuan Hou, (2016). A parallel Markov chain Monte Carlo method for calibrating computationally expensive models ASME Verification & Validation Conference, 2016 https://www.osti.gov/search/identifier:1422090 Document ID: 443076

Katherine Regina Cauthen, Gregory Joseph Lambert, Jaideep Ray, Sophia Lefantzi, (2016). Imputing data that are missing at high rates using a boosting algorithm Joint Statistical Meetings https://www.osti.gov/search/identifier:1422069 Document ID: 442986

Peter Strazdins, Brendan Harding, Chung Lee, Jackson Mayo, Jaideep Ray, Robert C. Armstrong, (2016). A robust technique to make a 2D advection solver tolerant to soft faults International Conference on Computational Science https://www.osti.gov/search/identifier:1365064 Document ID: 431161

Robert Meagher, Aashish Priye, Cameron Scott Ball, Ronald F. Renzi, Stephen Mueller, Jaideep Ray, Jonathan Ivers Helm, Chris (UC Davis) Barker, Sarah (UC Davis) Wheeler, William (UC Davis) Reisen, Lark (UC Davis) Coffey, (2016). Real-Time Autonomous Biosurveillance For Vectorborne Pathogens (Smart Traps) DTRA Biosurveillance Ecosystem Technical Interchange Meeting https://www.osti.gov/search/identifier:1346114 Document ID: 397964

Robert Meagher, Jaideep Ray, Stephen Mueller, Cameron Scott Ball, Aashish Priye, Ronald F. Renzi, Lark (UC Davis) Coffey, Chris (UC Davis) Barker, Sarah (UC Davis) Wheeler, William (UC Davis) Reisen, (2016). Real-time, Autonomous Biosurveillance for Vector-borne Viral Pathogens (SMART Traps) DTRA Biosurveillance Ecosystem Technical Interchange Meeting https://www.osti.gov/search/identifier:1346115 Document ID: 397775

Laura Painton Swiler, Jaideep Ray, Maoyi (PNNL) Huang, Jason (PNNL) Hou, (2016). SAChES : A Parallel MCMC Method CODA 2016 (Conference on Data Analysis, sponsored by LANL) Document ID: 397711

Laura Painton Swiler, Jaideep Ray, Maoyi (PNNL) Huang, Jason (PNNL) Hou, (2016). A parallel MCMC method Probabilistic Mechanics and Reliability Conference Document ID: 353976

Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2016). Bayesian parameter estimation of a \ke model for accurate jet-in-crossflow simulations American Institute for Aeronautics and Astronautics Journal https://www.osti.gov/search/identifier:1325717 Document ID: 386931

Jaideep Ray, Laura Painton Swiler, GSH Pau, G Bisht, FM Hoffman, M Huang, Z Hou, X Chen, (2016). Improving predictive capability of land surface models through robust statistical calibration techniques Advances in Mathematical and Computational Climate Modeling Workshop https://www.osti.gov/search/identifier:1342355 Document ID: 386939

Katherine Regina Cauthen, Gregory Joseph Lambert, Jaideep Ray, Sophia Lefantzi, (2016). Imputing data that are missing at high rates using a boosting algorithm Joint Statistical Meetings Document ID: 397304

Jaideep Ray, Laura Painton Swiler, GSH Pau, G Bisht, F. Hoffman, M. Huang, Zhangshuan Hou, X. Chen, (2016). Improving predictive capability of land surface models through robust statistical calibration techniques Advances in Mathematical and Computational Climate Modeling Workshop Document ID: 387096

Jaideep Ray, (2016). Using open-source indicators to forecast outbreaks CDC – Sandia Joint Workshop https://www.osti.gov/search/identifier:1514304 Document ID: 376512

Jie Bao, Huiying Ren, Maoyi Huang, Jaideep Ray, Laura Painton Swiler, (2015). A Scalable Multi-chain Markov Chain Monte Carlo Method for Inverting Subsurface Hydraulic and Geological Properties American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1339205 Document ID: 365806

Jaideep Ray, Laura Painton Swiler, Maoyi (PNNL) Huang, Zhangshuan (PNNL) Hou, (2015). Bayesian calibration of the Community Land Model using a multi-chain Markov chain Monte Carlo method American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1530497 Document ID: 365677

Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2015). Learning an Eddy Viscosity Model with Shrinkage? A Case Study with Jet-in-Crossflow Configuration 46th AIAA Fluid Dynamics Conference https://www.osti.gov/search/identifier:1331918 Document ID: 353754

Jaideep Ray, Sophia Lefantzi, Bart G van Bloemen Waanders, (2015). Bayesian inference of the permeability field of a binary medium Stanford University Earth Sciences Colloquium https://www.osti.gov/search/identifier:1333266 Document ID: 343026

Jordan M Fisher, Sophia Lefantzi, Jaideep Ray, (2015). Curve Fitting using Clenshaw-Curtis Sparse Grids Summer 2015 Intern Symposium Document ID: 318877

Jaideep Ray, (2015). Statistical inverse problems involving computationally expensive models Visit by academics from Durham University, UK https://www.osti.gov/search/identifier:1328210 Document ID: 318678

Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2015). Bayesian calibration of a RANS model with a complex response surface ? A case study with jet-in-crossflow configuration AIAA 45th Fluid dynamics conference https://www.osti.gov/search/identifier:1256028 Document ID: 286321

Robert Meagher, Jaideep Ray, Ronald F. Renzi, Stanley (U Washington) Langevin, William (UC Davis) Reisen, Lark (UC Davis) Coffey, Chris (UC Davis) Barker, (2015). Real-time, Autonomous Biosurveillance for Vector-borne Viral Pathogens Biosurveillance Ecosystem Developer Resource https://www.osti.gov/search/identifier:1255763 Document ID: 132913

Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2015). Bayesian calibration of a RANS model with a complex response surface – A case study with jet-in-crossflow configuration 45th AIAA Fluid Dynamics Conference https://www.osti.gov/search/identifier:1582159 Document ID: 265288

Gregory Joseph Lambert, Jaideep Ray, Sophia Lefantzi, Patrick D. Finley, Halley Smith, (2015). Forecasting Dengue Incidence from Social Media using Meteorological Covariates Chemical and Biological Defense Science and Technology Conference https://www.osti.gov/search/identifier:1253080 Document ID: 275450

Robert Meagher, Jaideep Ray, Ronald F. Renzi, Cameron Scott Ball, Stephen Mueller, Yooli Kim Light, Stanley (U Wash) Langevin, Sarah (UC Davis) Wheeler, Lark (UC Davis) Coffey, Christopher (UC Davis) Barker, William (UC Davis) Reisen, (2015). Real-Time, Autonomous Biosurveillance for Vector-Borne Viral Pathogens DTRA CBD Science & Technology Conference https://www.osti.gov/search/identifier:1252909 Document ID: 264458

Sophia Lefantzi, Jaideep Ray, Gregory Joseph Lambert, Patrick D. Finley, Halley Smith, (2015). Forecasting influenza activity using meteorological and Google Flu Trends data DTRA 2015 CBD Conference https://www.osti.gov/search/identifier:1251370 Document ID: 264990

Jaideep Ray, John (Boston Children’s Hospital) Brownstein, (2015). Nowcasting influenza activity using Healthmap data DTRA CBD Conference https://www.osti.gov/search/identifier:1251371 Document ID: 264999

Jaideep Ray, (2015). Bayesian inference of parameters of computationally expensive models CIS External Advisory Board Review https://www.osti.gov/search/identifier:1248833 Document ID: 254328

Donna M. Edwards, Lynn I. Yang, Jaideep Ray, Stephen Mueller, (2015). TPAT Poster for DTRA Conference Chemical and Biological Defense Science and Technology (CBD S&T) Conference https://www.osti.gov/search/identifier:1248711 Document ID: 244151

Zhangshuan (PNNL) Hou, Maoyi (PNNL) Huang, Jaideep Ray, Laura Painton Swiler, (2015). Quantification of structural uncertainty in a land surface model SIAM Conference on Computational Science and Engineering https://www.osti.gov/search/identifier:1331643 Document ID: 232735

Jaideep Ray, Laura Painton Swiler, maoyi (PNL) huang, jason (PNL) hou, (2015). Use of Parallel MCMC Methods with the Community Land Model SIAM Computational Science and Engineering Conference 2015 https://www.osti.gov/search/identifier:1246298 Document ID: 232406

Sophia Lefantzi, Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2015). Eddy viscosity model selection for transonic turbulent flows using shrinkage regression SIAM Conference on Computational Science & Engineering https://www.osti.gov/search/identifier:1246274 Document ID: 232536

Jaideep Ray, Laura Painton Swiler, Maoyi Huang, Hou Zhangshuan, (2015). Estimating a model discrepancy term for the Community Land Model using latent heat and runoff observations SIAM Conference on Computation Science & Engineering (SIAM-CSE15) https://www.osti.gov/search/identifier:1240842 Document ID: 232177

Robert Meagher, Ronald F. Renzi, Cameron Scott Ball, Jaideep Ray, Stephen Mueller, Lark (UC Davis) Coffey, William (UC Davis) Reisen, Christopher (UC Davis) Barker, Sarah (UC Davis) Wheeler, (2015). Real-time, Autonomous Biosurveillance for Vector-borne Viral Pathogens (SMART Traps) DTRA Biosurveillance Ecosystem Technical Interchange Meeting https://www.osti.gov/search/identifier:1240327 Document ID: 221826

Z Hou, Jaideep Ray, M Huang, Laura Painton Swiler, (2015). Applicability of surrogate-based MCMC-Bayesian inversion of CLM at flux tower sites with various field conditions American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1504327 Document ID: 219413

Sophia Lefantzi, Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2015). Estimation of k-e parameters using surrogate models and jet-in-crossflow data https://www.osti.gov/search/identifier:1170402 Document ID: 220801

Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2015). Bayesian calibration of k-e parameters for predictive jet-in-crossflow simulations Visit of Prof. Darmofal (MIT) group https://www.osti.gov/search/identifier:1244938 Document ID: 220252

Jaideep Ray, Zhangshuan Hou, Maoyi Huang, Laura Painton Swiler, (2014). Using runoff data to calibrate the Community Land Model American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1319743 Document ID: 219282

Alan P. Zelicoff, Jaideep Ray, Raymond S. Tuminaro, C. C. DOUGLAS, D. T. THORNE, (2014). Cache Aware Multigrid for Variable Coefficient Elliptic Problems on Adaptive Mesh Refinement Hierarchies Numerical Linear Algebra and Applications https://www.osti.gov/search/identifier:1319743 Document ID: 5221057

M. Drohmann, Raymond S. Tuminaro, Paul T. Boggs, Jaideep Ray, Bart G van Bloemen Waanders, Kevin Thomas Carlberg, (2014). Breaking Computational Barriers: Real-time Analysis and Optimization with Large-scale Nonlinear Models via Model Reduction https://www.osti.gov/search/identifier:1323654 Document ID: 207896

Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2014). Bayesian calibration of a RANS model with a complex response surface ? A case study with jet-in-crossflow configuration 45th AIAA Fluid Dynamics Conference Document ID: 207903

Kevin Thomas Carlberg, Jaideep Ray, Bart G van Bloemen Waanders, (2014). Decreasing the temporal complexity for nonlinear, implicit reduced-order models by forecasting Computer Methods in Applied Mechanics and Engineering https://www.osti.gov/search/identifier:1184503 Document ID: 197544

Vineet Yadav, Anna M. Michalak, Jaideep Ray, Yoichi Shiga, (2014). A statistical approach for isolating fossil fuel emissions in atmospheric inverse problems Journal of Geophysical Research, Atmospheres https://www.osti.gov/search/identifier:1338339 Document ID: 143464

Jaideep Ray, Jina Lee, Vineet Yadav, Sophia Lefantzi, Anna M Michalak, Bart G van Bloemen Waanders, (2014). A sparse reconstruction method for the estimation of multiresolution emission fields via atmospheric inversion Geoscientific Model Development https://www.osti.gov/search/identifier:1182960 Document ID: 143019

Donna M. Edwards, Lynn I. Yang, Jaideep Ray, Stephen Mueller, (2014). Threat Probability to Action Tool – Abstract for DTRA S&T Conference 2014 Chemical & Biological Defense Science and Technology Conference Document ID: 132681

Robert Meagher, Jaideep Ray, Ronald F. Renzi, Carmen Gondhalekar, Stanley (UW) Langevin, Sarah (UC Davis) Wheeler, Christopher (UC Davis) Barker, Ying (UC Davis) Fang, William K (UC Davis) Reisen, Lark (UC Davis) Coffey, (2014). Real-time, Autonomous Biosurveillance for Vector-borne Viral Pathogens DTRA 2014 CBD S&T Conference Document ID: 112312

Arthur J Mansure, Jaideep Ray, Gregory Joseph Lambert, Patrick D. Finley, Halley Smith, (2014). Disease forecasting using open-source indicators Oak Ridge Biosurveillance Symposium https://www.osti.gov/search/identifier:1146950 Document ID: 5336944

Kevin G. Ewsuk, Jaideep Ray, Stephen Mueller, (2014). Threat Probability to Action Tool TaCBRD Tech Demo #3 Orientation Slides TaCBRD Technical Demonstration #3 https://www.osti.gov/search/identifier:1694439 Document ID: 5334614

Arthur J Mansure, Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2014). Tuning a RANS k-e model for jet-in-crossflow simulations SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1141537 Document ID: 5334278

Donna M. Edwards, Lynn I. Yang, Jaideep Ray, Stephen Mueller, Garrett Barter, Mark D. Tucker, (2014). Threat Probability to Action Tool (TPAT) Visit by Georgetown Disaster Management graduate students Document ID: 5333325

Laura Painton Swiler, Jaideep Ray, Khachik Sargsyan, Maoyi Huang, Jason Hou, (2014). Bayesian calibration of hydrological parameters in the Community Land Model (CODA Presentation) Conference on Data Analysis https://www.osti.gov/search/identifier:1140888 Document ID: 5333165

Hyrum Anderson, Jaideep Ray, Jovana Helms, (2014). Compressed Sensing: Hope or Hype? https://www.osti.gov/search/identifier:1684761 Document ID: 5331810

Jina Lee, Sophia Lefantzi, Sean McKenna, Jaideep Ray, (2013). Coherence metric for optimal compressive sensing SIAM Computational Science and Engineering, 2013 https://www.osti.gov/search/identifier:1064080 Document ID: 5319325

Bart G van Bloemen Waanders, Jaideep Ray, (2012). Decreasing the temporal complexity for Computer methods in applied mechanics and engineering https://www.osti.gov/search/identifier:1073321 Document ID: 5312386

Bart G van Bloemen Waanders, Sean A. Mckenna, Jaideep Ray, Youssef Marzouk, (2012). multiscale Bayesian inversion of binary permeability fields from static and dynamic observations American Geophysical Union https://www.osti.gov/search/identifier:1141480 Document ID: 5278481

Sean A. Mckenna, Jaideep Ray, (2011). Low dimensional models for the estimation of anthropogenic CO2 from atmospheric observations American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1661569 Document ID: 5302416

Arthur J Mansure, Sean A. Mckenna, Jaideep Ray, Bart G van Bloemen Waanders, (2011). Bayesian inference of multiscale structures in porous media American Geophysical Union, https://www.osti.gov/search/identifier:1143904 Document ID: 5301791

Khachik Sargsyan, Cosmin Safta, Robert Dan Berry, Jaideep Ray, Bert Debusschere, Habib N. Najm, (2011). Efficient uncertainty quantification methodologies for high-dimensional climate land models https://www.osti.gov/search/identifier:1113860 Document ID: 5301957

Cosmin Safta, Jaideep Ray, Khachik Sargsyan, Sophia Lefantzi, Karen Cheng, David Crary, (2011). Real-time Characterization of Partially Observed Epidemics using Surrogate Models https://www.osti.gov/search/identifier:1030325 Document ID: 5299703

Arthur J Mansure, Katherine A. Klise, Luke Salazar, Sean A. Mckenna, Bart G van Bloemen Waanders, Jaideep Ray, Matthew Parno, Youssef M. Marzouk, (2011). Bayesian data assimilation for stochastic multiscale models of transport in porous media https://www.osti.gov/search/identifier:1030232 Document ID: 5299831

Cosmin Safta, Jaideep Ray, Khachik Sargsyan, Sophia Lefantzi, Karen Cheng, David Crary, (2011). Real-time Characterization of Partially Observed Epidemics using Surrogate Models Mathematical Biosciences https://www.osti.gov/search/identifier:1106850 Document ID: 5299521

Sean A. Mckenna, Bart G van Bloemen Waanders, Jaideep Ray, Youssef M Marzouk, (2011). Bayesian upscaling of binary media with unresolved fine-scale spatial structuresspatial structures Advances in Water Resources https://www.osti.gov/search/identifier:1106333 Document ID: 5298096

Cosmin Safta, Habib N. Najm, Jaideep Ray, (2011). A high-order AMR algorithm for chemically reacting flows International Colloqium on the Dynamics of Explosiona and Reactive Systems https://www.osti.gov/search/identifier:1106845 Document ID: 5297484

Gary L Kellogg, Cosmin Safta, Jaideep Ray, (2011). High-order AMR computations of chemically reacting flowsreacting flows 13th International Conference on Numerical Combustion https://www.osti.gov/search/identifier:1140978 Document ID: 5294368

Sean A. Mckenna, Jaideep Ray, Paul Constantine, (2011). CO2 Inversion using Ensemble Kalman Filtersand Reduced Order Models SIAM Geosciences https://www.osti.gov/search/identifier:1108814 Document ID: 5292959

Cosmin Safta, Habib N. Najm, Jaideep Ray, (2011). High-order AMR computations of chemically reacting flowsreacting flows 7th US National Combustion Meeting https://www.osti.gov/search/identifier:1108817 Document ID: 5292991

Cosmin Safta, Jaideep Ray, Habib N. Najm, (2011). A High-Order AMR Algorithm for Chemically Reacting Flows International Colloquium on the Dynamics of Explosions and Reactive Systems https://www.osti.gov/search/identifier:1110534 Document ID: 5290863

Sean A. Mckenna, Jaideep Ray, Bart G van Bloemen Waanders, Youssef M Marzouk, (2010). Truncated mulitgaussian fields and effective conductance of binary media https://www.osti.gov/search/identifier:1011620 Document ID: 5290270

Sean A. Mckenna, Jaideep Ray, Bart G van Bloemen Waanders, Youssef Marzouk, (2010). Posterior Predictive Modeling Using Multi-Scale Stochastic Inverse Parameter Estimates American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1038166 Document ID: 5290139

Cosmin Safta, Jaideep Ray, Habib N. Najm, (2010). High-order AMR computations of chemically reacting flows 7th Annual National Combustion Meeting https://www.osti.gov/search/identifier:1121096 Document ID: 5290035

Cosmin Safta, Jaideep Ray, Karen Cheng, David Crary, (2010). Characterization of Communicable Disease Epidemics using Bayesian Inference International Society for Disease Surveillance 9th Annual Meeting https://www.osti.gov/search/identifier:1035315 Document ID: 5289679

Sean A. Mckenna, Jaideep Ray, Matthew Parno, Youssef Marzouk, (2010). Computationally Efficient Inference for multiphase flow using the Ensemble Kalman Filterfor multiphase flow using the Ensemble Kalman Filter Siam Annual Conference https://www.osti.gov/search/identifier:1021649 Document ID: 5284742

Cosmin Safta, Jaideep Ray, Karen Cheng, David Crary, (2010). Bayesian classification of partially observed outbreaks using time-series data 9th Meeting of the International Society for Bayesian Analysis https://www.osti.gov/search/identifier:1019073 Document ID: 5283207

Christopher J. Roy, Jaideep Ray, Nicole Slattengren, (2009). Optimal Allocation of Resources Under Uncertainty Following an Anthrax Attack 20th International Symposium on Mathematical Programming https://www.osti.gov/search/identifier:1141996 Document ID: 5274890

Paul T. Boggs, David M. Gay, Jaideep Ray, (2009). Bioattack reconstruction and resource estimation in "reload" scenarios Risk Symposium https://www.osti.gov/search/identifier:952358 Document ID: 5271047

Douglas M. Deming, Max S. Shneider, Keith Vanderveen, Benjamin A. Allan, Jaideep Ray, Micheal Goldsby, (2008). Parallel Computing in Enterprise Modeling https://www.osti.gov/search/identifier:945906 Document ID: 5265697

Youssef Marzouk, Jaideep Ray, (2008). Bayesian inference of epidemiological characteristics in a partially observed epidemic DTRA Chem-Bio Defence Physical Sciences Conference https://www.osti.gov/search/identifier:1143089 Document ID: 5264363

Johan Steensland, Jaideep Ray, (2008). Adaptive partitioning in high performance computing for scientific simulations using AMR Para 2008 https://www.osti.gov/search/identifier:1145510 Document ID: 5262154

Robert C. Armstrong, Jaideep Ray, Zach Heath, Max S. Shneider, Keith Vanderveen, Benjamin A. Allan, Mike Goldsby, (2008). Parallel Particle Data Model World Congress on Social Simulation https://www.osti.gov/search/identifier:1146008 Document ID: 5260008

Gary L Kellogg, J.M. Ortega, Jaideep Ray, M. Valorani, D.A. Goussis, M. Frenklach, (2007). Adaptive Chemistry Computations of Reacting Flow SciDAC2007 https://www.osti.gov/search/identifier:1148180 Document ID: 5253510

Gary L Kellogg, Jaideep Ray, J. Ortega, M. Valorani, D. Goussis, M. Frenklach, (2007). Adaptive Chemistry Computations of Reacting Flow SciDAC07 https://www.osti.gov/search/identifier:1148079 Document ID: 5253511

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