Stephen J. Verzi

Senior Member of Technical Staff

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Senior Member of Technical Staff

sjverzi@sandia.gov

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(505) 844-0063

Biography

Stephen J. Verzi earned his PhD from the University of New Mexico in computer science, with a focus in neural network design and analysis. At Sandia National Laboratories. His professional experience in algorithm development and computational modeling spans many application domains: artificial intelligence, machine learning, information retrieval and multilingual text analysis, neural function including the hippocampus and its substructures, system dynamics models of human behavior via the theory of planned behavior expressed using the mathematics of qualitative choice theory, individual-based and dynamical systems modeling, resilience metrics and their application in critical infrastructure, hospital evacuation and neural network dynamics, game-theoretic and agent-based models of adversarial behavior, and most recently exploring neural-inspired computation via phase-coding with application to image and video processing including anomaly detection as well as the application of adversarial reinforcement learning in grid resilience stability modeling. He helped develop and validate a population health effects model for the FDA/CTP currently used in policy-making there. He has over 45 peer-reviewed publications spanning the last 25 years.

Education

  • Ph.D., Computer Science, University of New Mexico – 2003
  • Master of Science, Computer Science, University of New Mexico – 1990
  • Bachelor of Science, Computer Science, December 1987

Publications

Asmeret Naugle, Daniel Krofcheck, Christina Warrender, Kiran Lakkaraju, Laura Swiler, Stephen Verzi, Ben Emery, Jaimie Murdock, Michael Bernard, Vicente Romero, (2023). What can simulation test beds teach us about social science? Results of the ground truth program Computational and Mathematical Organization Theory https://doi.org/10.1007/s10588-021-09349-6 Publication ID: 80604

Asmeret Naugle, Stephen Verzi, Kiran Lakkaraju, Laura Swiler, Christina Warrender, Michael Bernard, Vicente Romero, (2023). Feedback density and causal complexity of simulation model structure Journal of Simulation https://doi.org/10.1080/17477778.2021.1982653 Publication ID: 75723

Asmeret Naugle, Fredrick Rothganger, Stephen Verzi, Casey Doyle, (2022). Conflicting Information and Compliance With COVID-19 Behavioral Recommendations https://doi.org/10.2172/1894426 Publication ID: 80392

Michael Smith, Armida Carbajal, Eva Domschot, Nicholas Johnson, Akul Goyal, Christopher Lamb, Joseph Lubars, William Kegelmeyer, Raga Krishnakumar, Sophie Quynn, Ramyaa Ramyaa, Stephen Verzi, Xin Zhou, (2022). MalGen: Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors https://doi.org/10.2172/1893244 Publication ID: 80379

Asmeret Naugle, Laura Swiler, Kiran Lakkaraju, Stephen Verzi, Christina Warrender, Vicente Romero, (2022). Graph-Based Similarity Metrics for Comparing Simulation Model Causal Structures https://doi.org/10.2172/1884926 Publication ID: 80095

Asmeret Naugle, Adam Russell, Kiran Lakkaraju, Laura Swiler, Stephen Verzi, Vicente Romero, (2022). The Ground Truth Program: Simulations as Test Beds for Social Science Research Methods. Computational and Mathematical Organization Theory https://doi.org/10.1007/s10588-021-09346-9 Publication ID: 80622

Stephen Verzi, Raga Krishnakumar, Drew Levin, Daniel Krofcheck, Kelly Williams, (2022). Data Science and Machine Learning for Genome Security https://doi.org/10.2172/1855003 Publication ID: 75932

Michael Livesay, Daniel Pless, Stephen Verzi, Kevin Stamber, Anneliese Lilje, (2022). A Theoretical Approach for Reliability Within Information Supply Chains with Cycles and Negations IEEE Transactions on Reliability https://doi.org/10.1109/tr.2021.3068737 Publication ID: 77767

Stephen Verzi, Nicholas Johnson, Kanad Khanna, Xin Zhou, Sophie Quynn, Raga Krishnakumar, Michael Smith, (2021). Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors https://doi.org/10.2172/1899508 Publication ID: 76852

Jamie Thorpe, Srideep Musuvathy, Stephen Verzi, Eric Vugrin, Matthew Dykstra, Meghan Sahakian, (2021). GAMVT: A Generative Algorithm for MultiVariate Timeseries Data https://www.osti.gov/servlets/purl/1886761 Publication ID: 75585

Hongkyu Yoon, Stephen Verzi, Katherine Cauthen, Srideep Musuvathy, Darryl Melander, Kyle Norland, Adriana Morales, Jonghyun Lee, Alexander Sun, (2021). Predictive Data-driven Platform for Subsurface Energy Production https://doi.org/10.2172/1821788 Publication ID: 75611

Edward Matteo, Donald Conley, Stephen Verzi, Barry Roberts, Casey Doyle, Steven Sobolik, Samuel Gilletly, Stephen Bauer, L. Pyrak-Nolte, M. Reda Taha, J. Stormont, D. Crandall, Dylan Moriarty, Esther John, Jennifer Wilson, Giorgia Bettin, Joshua Hogancamp, S. Fernandez, I. Anwar, M. Abdellatef, D. Murcia, J. Bland, (2021). Advanced Detection of Wellbore Failure for Safe and Secure Utilization of Subsurface Infrastructure https://doi.org/10.2172/1820250 Publication ID: 75660

Asmeret Naugle, Casey Doyle, Matthew Sweitzer, Fredrick Rothganger, Stephen Verzi, Kiran Lakkaraju, Robert Kittinger, Michael Bernard, Yuguo Chen, Joshua Loyal, Abdullah Mueen, (2021). Emergent Recursive Multiscale Interaction in Complex Systems https://doi.org/10.2172/1821796 Publication ID: 75722

Stephen Verzi, Raga Krishnakumar, Drew Levin, Daniel Krofcheck, Callie Boskin, Kelly Williams, (2021). Data Science for Detection of Genome Editing https://www.osti.gov/servlets/purl/1889012 Publication ID: 79387

Nicholas Johnson, Eva Domschot, Kanad Khanna, William Kegelmeyer, Christopher Lamb, Ramyaa Ramyaa, Michael Smith, Stephen Verzi, Xin Zhou, Armida Carbajal, Bridget Haus, Joey Ingram, (2021). Going Beyond Signature Malware Detection by Learning Behaviors https://doi.org/10.2172/1884420 Publication ID: 79195

Casey Doyle, Samuel Gilletly, Stephen Verzi, Edward Matteo, Barry Roberts, Steven Sobolik, Dylan Moriarty, (2021). Integrating Machine Learning into a Methodology for Early Detection of Wellbore Failure https://doi.org/10.2172/1882311 Publication ID: 79257

Stephen Verzi, Ross Guttromson, Asael Sorensen, Christian Jones, (2021). AlphaGrid: Grid Stability Using Machine Learning State Space Navigation https://www.osti.gov/servlets/purl/1877788 Publication ID: 79260

Stephen Verzi, Raga Krishnakumar, Drew Levin, Daniel Krofcheck, Callie Boskin, Kelly Williams, (2021). Data Science for Characterization of Genome Noise/Mutation https://www.osti.gov/servlets/purl/1884061 Publication ID: 79291

Edward Matteo, Barry Roberts, Steven Sobolik, Samuel Gilletly, Casey Doyle, Esther John, Stephen Verzi, (2021). Integrating Machine Learning into a Methodology for Early Detection of Wellbore Failure [Slides] https://doi.org/10.2172/1869382 Publication ID: 78527

Edward Matteo, Barry Roberts, Steven Sobolik, Samuel Gilletly, Casey Doyle, Esther John, Stephen Verzi, (2021). Integrating Machine Learning into a Methodology for Early Detection of Wellbore Failure [Slides] https://doi.org/10.2172/1869384 Publication ID: 78530

Meghan Sahakian, Srideep Musuvathy, Jamie Thorpe, Stephen Verzi, Eric Vugrin, Matthew Dykstra, (2021). Threat Data Generation for Space Systems https://doi.org/10.2172/1873278 Publication ID: 78832

Meghan Sahakian, Srideep Musuvathy, Jamie Thorpe, Stephen Verzi, Eric Vugrin, Matthew Dykstra, (2021). Threat Data Generation for Space Systems https://doi.org/10.1109/SCC49971.2021.00018 Publication ID: 78837

Hongkyu Yoon, Darryl Melander, Stephen Verzi, (2021). Machine Learning Application for Permeability Estimation of Digital Rock Images https://doi.org/10.2172/1859688 Publication ID: 77750

Hongkyu Yoon, Darryl Melander, Stephen Verzi, (2021). Machine learning application for permeability estimation of three-dimensional rock images CEUR Workshop Proceedings https://doi.org/10.2172/1833497 Publication ID: 71969

Fredrick Rothganger, Asmeret Naugle, Stephen Verzi, (2021). Behavioral Feedback in Disease Dynamics https://www.osti.gov/servlets/purl/1843095 Publication ID: 75171

Michael Smith, Nicholas Johnson, Joey Ingram, Armida Carbajal, Bridget Haus, Eva Domschot, Ramyaa Ramyaa, Christopher Lamb, Stephen Verzi, William Kegelmeyer, (2020). Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis AISec 2020 – Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security https://doi.org/10.2172/1831009 Publication ID: 71665

Meghan Sahakian, Jamie Thorpe, Stephen Verzi, Srideep Musuvathy, Eric Vugrin, Matthew Dykstra, McKade Umbenhower, (2020). AIRSS: Adaptive Intrusion Response for Space Systems https://www.osti.gov/servlets/purl/1830982 Publication ID: 71304

Matthew Sweitzer, Robert Kittinger, Casey Doyle, Asmeret Naugle, Kiran Lakkaraju, Fredrick Rothganger, Stephen Verzi, (2020). Communicative Vibration: A Graph-Theoretic Approach to Group Stability in an Online Social Network https://www.osti.gov/servlets/purl/1811443 Publication ID: 74242

Michael Smith, Nicholas Johnson, Joey Ingram, Armida Carbajal, Bridget Haus, Eva Domschot, Ramyaa Ramyaa, Christopher Lamb, Stephen Verzi, William Kegelmeyer, (2020). Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis https://doi.org/10.1145/3411508.3421373 Publication ID: 73995

Asmeret Naugle, Fredrick Rothganger, Stephen Verzi, (2020). Conflicting Information and Compliance With COVID-19 Stay-At-Home Orders https://www.osti.gov/servlets/purl/1811614 Publication ID: 74254

Michael Smith, Armida Carbajal, Eva Domschot, Bridget Haus, Joey Ingram, Nicholas Johnson, William Kegelmeyer, Christopher Lamb, Ramyaa Ramyaa, Stephen Verzi, (2020). MalGen: On Bridging the Semantic Gap between Machine Learning and Malware Analysis https://www.osti.gov/servlets/purl/1811972 Publication ID: 74314

Jamie Thorpe, Meghan Sahakian, Srideep Musuvathy, Stephen Verzi, Matthew Dykstra, Eric Vugrin, (2020). Threat Data Generation for a More Resilient Response https://www.osti.gov/servlets/purl/1811432 Publication ID: 74238

Michael Smith, Nicholas Johnson, Joey Ingram, Armida Carbajal, Ramyaa Ramyaa, Evelyn Domschot, Christopher Lamb, Stephen Verzi, William Kegelmeyer, (2020). Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security https://www.osti.gov/servlets/purl/1782493 Publication ID: 73420

Hongkyu Yoon, Darryl Melander, Stephen Verzi, (2020). Permeability Prediction of Porous Media using Convolutional Neural Networks with Physical Properties https://www.osti.gov/servlets/purl/1773030 Publication ID: 73146

Stephen Verzi, (2020). Machine Learning at Sandia https://www.osti.gov/servlets/purl/1768146 Publication ID: 72778

Hongkyu Yoon, Darryl Melander, Stephen Verzi, (2020). Permeability prediction of porous media using convolutional neural networks with physical properties CEUR Workshop Proceedings https://www.osti.gov/servlets/purl/1643508 Publication ID: 66664

Asmeret Naugle, Kiran Lakkaraju, Vamshi Balanaga, Christina Warrender, Stephen Verzi, Michael Livesay, Laura Swiler, (2019). A Complexity-Focused Framework for Comparing and Evaluating Social Simulations https://www.osti.gov/servlets/purl/1645756 Publication ID: 70428

Ross Guttromson, Asael Sorensen, Christian Jones, Stephen Verzi, Raymond Byrne, Charles Hanley, (2019). AlphaGrid: Grid Stability Using Machine Learning State Space Navigation https://www.osti.gov/servlets/purl/1645709 Publication ID: 70283

Raga Krishnakumar, Callie Boskin, Drew Levin, Daniel Carmody, Patrick Finley, Stephen Verzi, Kelly Williams, James Carney, (2019). Data Science for Detection of Genome Editi https://www.osti.gov/servlets/purl/1645734 Publication ID: 70337

Asmeret Naugle, Laura Swiler, Kiran Lakkaraju, Stephen Verzi, Christina Warrender, Michael Bernard, Vicente Romero, (2019). Graph-Based Similarity Metrics for Comparing Simulations and Causal Loop Diagrams https://www.osti.gov/servlets/purl/1641241 Publication ID: 69911

Ross Guttromson, Stephen Verzi, Christian Jones, Asael Sorensen, Raymond Byrne, Charles Hanley, (2019). Grid Stability Using Machine Learning State Space Navigation https://www.osti.gov/servlets/purl/1807097 Publication ID: 69670

Ross Guttromson, Stephen Verzi, Christian Jones, Asael Sorensen, Raymond Byrne, Charles Hanley, (2019). Grid Stability Using Machine Learning State Space Navigation https://www.osti.gov/servlets/purl/1645566 Publication ID: 69671

Aaron Hill, Jonathon Donaldson, Fredrick Rothganger, Craig Vineyard, David Follett, Pamela Follett, Michael Smith, Stephen Verzi, William Severa, Felix Wang, James Aimone, John Naegle, Conrad James, (2019). Neuromorphic Computing Algorithms and Architecture Research at Sandia https://www.osti.gov/servlets/purl/1645676 Publication ID: 70107

Kiran Lakkaraju, Asmeret Naugle, Stephen Verzi, Laura Swiler, Michael Livesay, Christina Warrender, Michael Bernard, Vicente Romero, (2019). Complexity metrics for Agent Based Models of Social Systems https://www.osti.gov/servlets/purl/1639730 Publication ID: 68092

Guangping Xu, Yifeng Wang, Stephen Verzi, (2019). Neural Networks for microscopic image analysis https://www.osti.gov/servlets/purl/1639485 Publication ID: 67621

Stephen Verzi, (2019). Layered Approach Builds Confidence in Complex Social Systems Modeling https://www.osti.gov/biblio/1643885 Publication ID: 67055

Meghan Galiardi, Stephen Verzi, Gabriel Birch, Jaclynn Stubbs, Bryana Woo, Camron Kouhestani, (2018). Physical Security Assessment Using Temporal Machine Learning Proceedings – International Carnahan Conference on Security Technology https://doi.org/10.1109/CCST.2018.8585705 Publication ID: 63561

Guangping Xu, Yifeng Wang, Stephen Verzi, (2018). Machine learning assisted microscopic image analysis for unconventional reservoir studies https://www.osti.gov/servlets/purl/1761155 Publication ID: 60518

Lon Dawson, Stephen Verzi, Drew Levin, Darryl Melander, Asael Sorensen, Katherine Cauthen, Felipe Wilches-Bernal, Timothy Berg, Olga Lavrova, Ross Guttromson, (2018). Integrated Cyber/Physical Grid Resiliency Modeling https://doi.org/10.2172/1482777 Publication ID: 60153

Stephen Verzi, Fredrick Rothganger, Ojas Parekh, Tu Quach, Nadine Miner, Craig Vineyard, Conrad James, James Aimone, (2018). Computing with spikes: The advantage of fine-grained timing Neural Computation https://doi.org/10.1162/neco_a_01113 Publication ID: 63758

Meghan Sahakian, Stephen Verzi, Camron Kouhestani, Gabriel Birch, Jaclynn Stubbs, Bryana Woo, (2018). Temporal Algorithms for Physical Security https://www.osti.gov/servlets/purl/1592359 Publication ID: 59683

Asmeret Naugle, Kiran Lakkaraju, Stephen Verzi, Laura Swiler, Vicente Romero, Michael Bernard, (2018). A Multi-tiered Complexity Metric https://www.osti.gov/servlets/purl/1570180 Publication ID: 63118

Stephen Verzi, Craig Vineyard, James Aimone, (2018). Neural-inspired Anomaly Detection https://doi.org/10.1007/978-3-319-96661-8_21 Publication ID: 63164

Meghan Sahakian, Stephen Verzi, Camron Kouhestani, Gabriel Birch, Jaclynn Stubbs, Bryana Woo, (2018). Temporal Algorithms for Physical Security https://www.osti.gov/servlets/purl/1573308 Publication ID: 63437

Craig Vineyard, Stephen Verzi, William Severa, James Aimone, (2018). Spiking Neuron Implementations of Several Fundamental Machine Learning Algorithms https://www.osti.gov/servlets/purl/1498201 Publication ID: 60768

Stephen Verzi, Craig Vineyard, James Aimone, (2018). Neural-Inspired Anomaly Detection Springer Proceedings in Complexity https://doi.org/10.1007/978-3-319-96661-8_21 Publication ID: 62382

Aaron Hill, Jonathon Donaldson, Fredrick Rothganger, Craig Vineyard, David Follett, Pamela Follett, Michael Smith, Stephen Verzi, William Severa, Felix Wang, James Aimone, John Naegle, Conrad James, (2017). A spike-Timing neuromorphic architecture 2017 IEEE International Conference on Rebooting Computing, ICRC 2017 – Proceedings https://doi.org/10.1109/ICRC.2017.8123631 Publication ID: 58345

Craig Vineyard, Stephen Verzi, (2017). A Case Study on Neural Inspired Dynamic Memory Management Strategies for High Performance Computing https://doi.org/10.2172/1396076 Publication ID: 53208

Stephen Verzi, Ryan Dellana, William Severa, Michael Smith, Fredrick Rothganger, Conrad James, James Aimone, Craig Vineyard, (2017). Steep Deep Spiking Networks https://www.osti.gov/servlets/purl/1464724 Publication ID: 57912

Stephen Verzi, Craig Vineyard, Eric Vugrin, Meghan Galiardi, Conrad James, James Aimone, (2017). Optimization-based computation with spiking neurons Proceedings of the International Joint Conference on Neural Networks https://doi.org/10.1109/IJCNN.2017.7966098 Publication ID: 54983

Meghan Sahakian, Stephen Verzi, Craig Vineyard, Eric Vugrin, Conrad James, James Aimone, (2017). Optimization-based computation with spiking neurons https://www.osti.gov/servlets/purl/1457893 Publication ID: 56181

Eric Vugrin, Timothy Trucano, Laura Swiler, Patrick Finley, Tatiana Flanagan, Asmeret Naugle, Jeffrey Tsao, Stephen Verzi, (2017). Recommended Research Directions for Improving the Validation of Complex Systems Models https://doi.org/10.2172/1367494 Publication ID: 54940

Stephen Jones, Alexander Outkin, Jared Gearhart, Jacob Hobbs, John Siirola, Cynthia Phillips, Stephen Verzi, Daniel Tauritz, Samuel Mulder, Asmeret Naugle, (2017). PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense https://www.osti.gov/servlets/purl/1417561 Publication ID: 52843

Craig Vineyard, James Aimone, Stephen Verzi, Jonathon Donaldson, Michael Smith, Fredrick Rothganger, David Follet, Conrad James, John Naegle, (2016). A neurally inspired spiking temporal processing unit computational architecture https://www.osti.gov/servlets/purl/1526843 Publication ID: 47696

Stephen Verzi, Craig Vineyard, Eric Vugrin, Meghan Sahakian, Conrad James, James Aimone, (2016). Optimization-based computation with spiking neurons https://doi.org/10.1109/IJCNN.2017.7966098 Publication ID: 48012

Stephen Verzi, Craig Vineyard, Eric Vugrin, Meghan Sahakian, Conrad James, James Aimone, (2016). Optimization-based computation with spiking neurons https://doi.org/10.1109/IJCNN.2017.7966098 Publication ID: 48013

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, (2016). Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis Proceedings of the International Joint Conference on Neural Networks https://www.osti.gov/servlets/purl/1336353 Publication ID: 45978

Kevin Stamber, Laurie Burnham, Susan Adams, Robert Jeffers, Stephen Verzi, (2016). Modeling the benefits (or detriments) of increased automation in electric power grid operations: Methodology and experiments Electricity Journal https://doi.org/10.1016/j.tej.2016.09.015 Publication ID: 51930

Laurie Burnham, Kevin Stamber, Robert Jeffers, Susan Adams, Stephen Verzi, Meghan Sahakian, Michael Haass, Katherine Cauthen, (2016). Improving Grid Resilience through Informed Decision-making (IGRID) https://doi.org/10.2172/1431483 Publication ID: 52545

Kevin Stamber, Laurie Burnham, Susan Adams, Robert Jeffers, Stephen Verzi, (2016). Modeling the Benefits (or Detriments) of Increased Automation in Utility Operations https://www.osti.gov/servlets/purl/1390470 Publication ID: 52114

Alexander Outkin, Brandon Eames, Stephen Jones, Eric Vugrin, Cynthia Phillips, Sarah Walsh, Jacob Hobbs, Stephen Verzi, Byron Heersink, (2016). A Framework for Analysis of Attacker-Defender Interaction in Cyber Systems https://www.osti.gov/servlets/purl/1392766 Publication ID: 52210

Jeffrey Tsao, Timothy Trucano, Stephen Kleban, Asmeret Naugle, Stephen Verzi, Laura Swiler, C. Johnson, Mark Smith, Tatiana Flanagan, Eric Vugrin, Kasimir Gabert, Matthew Lave, Wei Chen, Daniel DeLaurentis, Alfred Hubler, Bill Oberkampf, (2016). Complex Systems Models and Their Applications: Towards a New Science of Verification, Validation & Uncertainty Quantification https://doi.org/10.2172/1431458 Publication ID: 51944

Craig Vineyard, Stephen Verzi, (2016). Overcoming the Static Learning Bottleneck – the Need for Adaptive Neural Learning https://doi.org/10.1109/ICRC.2016.7738692 Publication ID: 50891

Stephen Verzi, Asmeret Naugle, (2016). Model/Use Characteristics that Can Challenge Current VVUQ: Building Credible Models https://www.osti.gov/servlets/purl/1366869 Publication ID: 50715

Alexander Outkin, Brandon Eames, Todd Jones, Eric Vugrin, Cynthia Phillips, Sarah Walsh, Jacob Hobbs, Jared Gearhart, John Siirola, Stephen Verzi, Asmeret Naugle, (2016). Stochastic Adversarial Modeling for Evaluating Trust in Systems and Effectiveness of Moving Target Defense https://www.osti.gov/servlets/purl/1530048 Publication ID: 50475

Alexander Outkin, Brandon Eames, Todd Jones, Eric Vugrin, Cynthia Phillips, Sarah Walsh, Jacob Hobbs, Jared Gearhart, John Siirola, Stephen Verzi, Asmeret Naugle, (2016). Stochastic Adversarial Modeling for Evaluating Trust in Systems and Effectiveness of Moving Target Defense https://www.osti.gov/servlets/purl/1530035 Publication ID: 50326

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, (2016). Quantifying Neural Information Content: A Case Study of the Impact of Hippocampal Adult Neurogenesis https://doi.org/10.1109/IJCNN.2016.7727884 Publication ID: 49412

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, (2016). Quantifying neural information content: a case study of the impact of hippocampal adult neurogenesis https://doi.org/10.2172/1561002 Publication ID: 48705

Jared Gearhart, Jacob Hobbs, Stephen Jones, Samuel Mulder, Asmeret Naugle, Alexander Outkin, Cynthia Phillips, John Siirola, Daniel Tauritz, Stephen Verzi, (2016). A new scheduling problem motivated by moving-target cyberdefense https://www.osti.gov/servlets/purl/1364842 Publication ID: 49068

Asmeret Naugle, Nadine Miner, Munaf Aamir, Robert Jeffers, Stephen Verzi, Michael Bernard, (2016). Simulating smoking behaviors based on cognition-determined, opinion-based system dynamics Proceedings – Winter Simulation Conference https://doi.org/10.1109/WSC.2015.7408545 Publication ID: 41829

Craig Vineyard, James Aimone, Michael Bernard, Kristofor Carlson, Frances Chance, James Forsythe, Conrad James, Fredrick Rothganger, William Severa, Ann Speed, Stephen Verzi, Christina Warrender, John Wagner, Leann Miller, (2015). Neural Computing at Sandia National Laboratories https://www.osti.gov/servlets/purl/1335732 Publication ID: 41869

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, Gregory Heileman, (2015). Repeated play of the SVM game as a means of adaptive classification Proceedings of the International Joint Conference on Neural Networks https://www.osti.gov/servlets/purl/1249447 Publication ID: 43179

Stephen Jones, Alexander Outkin, Jared Gearhart, Jacob Hobbs, John Siirola, Cynthia Phillips, Stephen Verzi, Daniel Tauritz, Samuel Mulder, Asmeret Naugle, (2015). Evaluating Moving Target Defense with PLADD https://doi.org/10.2172/1222986 Publication ID: 45812

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, Gregory Heileman, (2015). Repeated Play of the SVM Game as a Means of Adaptive Classification https://doi.org/10.1109/IJCNN.2015.7280729 Publication ID: 44877

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, Gregory Heileman, (2015). MapReduce SVM Game https://www.osti.gov/servlets/purl/1256556 Publication ID: 43816

Patrick Finley, Eric Vugrin, Stephen Verzi, Mark Turnquist, Anne Griffin, Karen Ricci, Tamar Wyte-Lake, (2015). Modeling Hospital Evacuations for Infrastructure Disruptions https://www.osti.gov/servlets/purl/1331571 Publication ID: 44088

Maurice Moffett, Amy Farnbach Pearson, Stephen Verzi, Stephen Kleban, Leonard Malczynski, Glen McDermott, Richard Larson, (2015). Modeling Future Health Care Workforce Adequacy to Inform Policy https://www.osti.gov/servlets/purl/1530991 Publication ID: 43258

Eric Vugrin, Brian Rostron, Stephen Verzi, Nancy Brodsky, Theresa Brown, Conrad Choiniere, Blair Coleman, Antonio Paredes, Benjamin Apelberg, (2015). Modeling the potential effects of new tobacco products and policies: A dynamic population model for multiple product use and harm PLoS ONE https://doi.org/10.1371/journal.pone.0121008 Publication ID: 38308

Stephen Verzi, Eric Vugrin, Nancy Brodsky, Leonard Malczynski, Stephen Kleban, (2015). Dynamic Population Health Modeling https://www.osti.gov/servlets/purl/1513983 Publication ID: 42573

Eric Vugrin, Stephen Verzi, Geoffrey Forden, Munaf Aamir, Christopher Lamb, Alexander Outkin, (2015). Measuring & Influencing Resilience of Adapting Flow Networks https://www.osti.gov/servlets/purl/1244482 Publication ID: 42580

Theresa Brown, Eric Vugrin, Vincent Tidwell, Stephen Verzi, Thomas Moore, Patrick Finley, Walter Beyeler, Thomas Corbet, (2015). Complex System Analytics: presentations to External Advisory Panel https://www.osti.gov/servlets/purl/1247089 Publication ID: 42410

Eric Vugrin, Stephen Verzi, Patrick Finley, Mark Turnquist, Anne Griffin, Karen Ricci, Tamar Wyte-Lake, (2015). Modeling Evacuation of a Hospital without Electric Power Prehospital and Disaster Medicine https://www.osti.gov/biblio/1146807 Publication ID: 41087

Eric Vugrin, Stephen Verzi, Patrick Finley, Mark Turnquist, Tamar Wyte-Lake, Ann Griffin, Karen Ricci, Rachel Plotinsky, (2015). Resource Requirements Planning for Hospitals Treating Serious Infectious Disease Cases https://doi.org/10.2172/1171661 Publication ID: 42234

Asmeret Naugle, Nadine Miner, Munaf Aamir, Robert Jeffers, Stephen Verzi, Michael Bernard, (2015). Simulating Smoking Behaviors Based on Cognition-Determined Communication of Opinions https://www.osti.gov/servlets/purl/1504118 Publication ID: 41361

George Backus, Asmeret Naugle, Michael Bernard, Munaf Aamir, Matthew Glickman, Robert Jeffers, Austin Silva, Derek Trumbo, Stephen Verzi, (2015). Simulating Behavioral Responses in International Security Settings https://www.osti.gov/servlets/purl/1244850 Publication ID: 42661

Walter Beyeler, Eric Vugrin, Geoffrey Forden, Munaf Aamir, Stephen Verzi, Alexander Outkin, (2015). Resilience of Adapting Networks: Results from a Stylized Infrastructure Model https://www.osti.gov/servlets/purl/1427206 Publication ID: 42673

Stephen Verzi, James Aimone, (2014). Quantification of Neural Computation https://www.osti.gov/servlets/purl/1315443 Publication ID: 39580

James Aimone, Michael Bernard, Craig Vineyard, Stephen Verzi, (2014). Using High Performance Computing to Examine the Processes of Neurogenesis Underlying Pattern Separation and Completion of Episodic Information https://doi.org/10.2172/1162373 Publication ID: 39168

Asmeret Naugle, Nadine Miner, Munaf Aamir, Robert Jeffers, Stephen Verzi, Michael Bernard, (2014). Simulating Smoking Behaviors Based on Cognition-Determined Opinion Dynamics https://doi.org/10.1109/WSC.2015.7408545 Publication ID: 39124

Nancy Brodsky, Theresa Brown, Stephen Verzi, Eric Vugrin, Patrick Finley, (2014). Tobacco-Control Regulatory Policy Modeling and Analysis https://www.osti.gov/servlets/purl/1706361 Publication ID: 40478

Eric Vugrin, Stephen Verzi, Nancy Brodsky, (2013). Population Structure Modeling to Evaluate Substitution and Dual Use of Tobacco Products in Response to Changing Policies https://www.osti.gov/servlets/purl/1115323 Publication ID: 34816

Stephen Verzi, Michael Bernard, James Aimone, (2013). Adult Neurogenesis: Implications on Human And Computational Decision Making https://www.osti.gov/servlets/purl/1145214 Publication ID: 32435

Theresa Brown, Nancy Brodsky, Stephen Verzi, (2012). Modeling Population Dynamics https://www.osti.gov/biblio/1063540 Publication ID: 26465

Craig Vineyard, Stephen Verzi, Glory Avina, (2012). Copy of Copy of Neurogenesis in a High Resolution Dentate Gyrus Model https://www.osti.gov/servlets/purl/1141197 Publication ID: 30794

Craig Vineyard, Stephen Verzi, Glory Avina, (2012). Copy of Copy of Neurogenesis in a High Resolution Dentate Gyrus Model https://www.osti.gov/servlets/purl/1141250 Publication ID: 30795

Ann Speed, Craig Vineyard, Joseph Collard, Stephen Verzi, (2012). Diffusion among cognitively complex agents : final report https://doi.org/10.2172/1055582 Publication ID: 30258

Charles Carter, Stephen Verzi, Cory Hensley, (2012). Space Based Solar Power https://www.osti.gov/servlets/purl/1650318 Publication ID: 28589

Stephen Verzi, (2012). NEUROCOMPUTATION BY A NEURAL CHIP-FIRING GAME https://www.osti.gov/biblio/1073374 Publication ID: 28345

Stephen Verzi, Michael Bernard, Shawn Taylor, Irene Dubicka, (2012). Associative-ART: A Multi-modal Network Architecture for Knowledge Discovery Proposed for publication in Security Informatics. https://doi.org/10.1186/2190-8532-1-20 Publication ID: 28138

Craig Vineyard, Kiran Lakkaraju, Joseph Collard, Stephen Verzi, (2012). The impact of attitude resolve on population wide attitude change Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) https://www.osti.gov/servlets/purl/1111600 Publication ID: 25400

Stephen Verzi, (2012). A Neural Chip-Firing Game as a Model of Neurocomputation https://www.osti.gov/servlets/purl/1078716 Publication ID: 26689

Craig Vineyard, Stephen Verzi, Shawn Taylor, Irene Dubicka, Michael Bernard, (2011). Augmented cognition tool for rapid military decision making https://doi.org/10.2172/1029756 Publication ID: 24737

Asmeret Naugle, Michael Bernard, George Backus, Matthew Glickman, Stephen Verzi, (2011). Using a hybrid cognitive-system dynamics model to anticipate the influence of events and actions on human behaviors https://www.osti.gov/servlets/purl/1290129 Publication ID: 23681

Patrick Finley, John Linebarger, Alexander Outkin, Stephen Verzi, Nancy Brodsky, Robert Glass, (2011). Extending Opinion Dynamics to Model Public Health Problems and the Evaluation of Policy Interventions https://www.osti.gov/servlets/purl/1106717 Publication ID: 22704

Stephen Verzi, Michael Bernard, Shawn Taylor, Irene Dubicka, Jonathan McClain, (2011). A Neurophysiologically Inspired Hippocampus Based Associative-ART Artificial Neural Network Architecture https://www.osti.gov/servlets/purl/1106201 Publication ID: 22716

Robert Glass, Aldo Zagonel, Arlo Ames, Theresa Brown, Walter Beyeler, Patrick Finley, John Linebarger, Nancy Brodsky, Stephen Verzi, Alexander Outkin, (2011). Complex Adaptive Systems of Systems (CASoS) Engineering: Mapping Aspirations to Problem Solutions https://www.osti.gov/servlets/purl/1106542 Publication ID: 22783

Michael Bernard, Stephen Verzi, Shawn Taylor, Irene Dubicka, Jonathan McClain, Craig Vineyard, (2011). Augmented Cognition Tool for Rapid Military Decision Making (ACORD) https://www.osti.gov/servlets/purl/1671500 Publication ID: 22272

Patrick Finley, John Linebarger, Alexander Outkin, Stephen Verzi, Nancy Brodsky, Daniel Cannon, Robert Glass, (2011). Extending Opinion Dynamics to Model Public Health Problems and the Evaluation of Policy Interventions https://www.osti.gov/servlets/purl/1120573 Publication ID: 22296

Michael Bernard, George Backus, Matthew Glickman, Stephen Verzi, (2011). Using a Hybrid Cognitive-System Dynamics Model to Anticipate the Influence of Events and Actions on Human Behaviors https://www.osti.gov/servlets/purl/1109155 Publication ID: 21852

Michael Bernard, Irene Dubicka, Jonathan McClain, Shawn Taylor, Stephen Verzi, Craig Vineyard, (2011). A Neurophysiologically Inspired Hippocampus Based Associative-ARTMAP Artificial Neural Network Architecture https://www.osti.gov/servlets/purl/1109437 Publication ID: 21591

Stephen Verzi, Brandon Rohrer, Patrick Xavier, Fredrick Rothganger, (2011). Neurons to Algorithms https://www.osti.gov/servlets/purl/1671628 Publication ID: 21738

Fredrick Rothganger, Brandon Rohrer, Stephen Verzi, Patrick Xavier, (2010). Modeling cortical circuits https://doi.org/10.2172/1008124 Publication ID: 19889

Stephen Verzi, John Wagner, Christina Warrender, (2010). Optical holography as an analogue for a neural re-use mechanism: Comment on Anderson (2010) Behavioral and Brain Sciences https://doi.org/10.1017/S0140525X10001214 Publication ID: 18645

Stephen Verzi, Michael Bernard, Tu Quach, Shawn Taylor, (2010). A Cortical-Hippocampal Neural Architecture for Episodic Memory with Information Theoretic Model Analysis https://www.osti.gov/servlets/purl/1123559 Publication ID: 18512

Ann Speed, Stephen Verzi, John Wagner, Christina Warrender, (2010). Proposed comment on Anderson (2010) Neural re-use as a fundamental organizational principle of the brain Behavioral Brain Science https://www.osti.gov/biblio/1124264 Publication ID: 17799

Michael Bernard, James Morrow, Shawn Taylor, Stephen Verzi, Craig Vineyard, (2009). Modeling aspects of human memory for scientific study https://doi.org/10.2172/986595 Publication ID: 16784

Shawn Taylor, Michael Bernard, Craig Vineyard, Stephen Verzi, James Morrow, (2009). Memory in Silico: Building a Neuromimetic Episodic Cognitive Model https://www.osti.gov/servlets/purl/1142499 Publication ID: 16064

Peter Chew, Brett Bader, Stephen Verzi, (2008). Can computational linguistics improve information retrieval? Proposed for publication in Computational Linguistics. https://www.osti.gov/biblio/948222 Publication ID: 14599

Donna Djordjevich Reyna, Patrick Xavier, Michael Bernard, Jonathan Whetzel, Matthew Glickman, Stephen Verzi, (2008). Preparing for the Aftermath: Using Emotional Agents in Game-Based Training for Disaster Response https://www.osti.gov/servlets/purl/1142849 Publication ID: 14475

Daniel Dunlavy, Justin Basilico, Stephen Verzi, Travis Bauer, (2008). Yucca Mountain licensing support network archive assistant https://doi.org/10.2172/932885 Publication ID: 12927

Michael Bernard, Matthew Glickman, Derek Hart, Patrick Xavier, Stephen Verzi, Paul Wolfenbarger, (2007). Simulating human behavior for national security human interactions https://doi.org/10.2172/900422 Publication ID: 8609

Stephen Verzi, Peter Chew, Travis Bauer, Jonathan McClain, (2006). Cross-Language Ideology Detection Using Linguistics-Based Knowledge Extraction https://www.osti.gov/servlets/purl/1725704 Publication ID: 8103

Peter Chew, Stephen Verzi, Jonathan McClain, Travis Bauer, (2006). Evaluation of the Bible as a Resource for Cross-Language Information Retrieval https://www.osti.gov/servlets/purl/1264239 Publication ID: 7477

Stephen Verzi, Peter Chew, (2006). Database of on-line Bible texts in 6 langauges as well as web-spidered web pages https://www.osti.gov/servlets/purl/1729825 Publication ID: 7381

Peter Chew, Travis Bauer, Stephen Verzi, Jonathan McClain, (2006). Evaluation of the Bible as a resource for cross-language information retrieval https://www.osti.gov/biblio/943892 Publication ID: 6872

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