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Proceedings Papers

Multi-Mission Engineering With Zero Trust: A Modeling Methodology and Application to Contested Offshore Wind Farms

Douglas L. Van Bossuyt, Britta Hale, Ryan M. Arlitt, Nikolaos Papakonstantinou

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A058, August 14–17, 2022

Paper No: DETC2022-90067

DOI: https://doi.org/10.1115/DETC2022-90067

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Topics: Modeling, Ocean engineering, Wind farms, Decision making, Silicon-on-sapphire, Economics , Machine learning, Defense industry, Maintenance, Risk

Proceedings Papers

A Zero-Trust Methodology for Security of Complex Systems With Machine Learning Components

Britta Hale, Douglas L. Van Bossuyt, Nikolaos Papakonstantinou, Bryan O’Halloran

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A067, August 17–19, 2021

Paper No: DETC2021-70442

DOI: https://doi.org/10.1115/DETC2021-70442

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Topics: Complex systems, Machine learning, Security, Defense industry, Unmanned aerial vehicles, Algorithms, Artificial neural networks, Decision making, Machinery, Safety

Journal Articles

A Zero Trust Hybrid Security and Safety Risk Analysis Method

Nikolaos Papakonstantinou, Douglas L. Van Bossuyt, Joonas Linnosmaa, Britta Hale, Bryan O’Halloran

J. Comput. Inf. Sci. Eng. October 2021, 21(5): 050907.

Paper No: JCISE-20-1260

DOI: https://doi.org/10.1115/1.4050685

Published Online: May 13, 2021

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Topics: Design, Probability, Risk analysis, Safety, Security, Systems engineering, Risk

Proceedings Papers

Towards a Zero Trust Hybrid Security and Safety Risk Analysis Method

Nikolaos Papakonstantinou, Douglas L. Van Bossuyt, Joonas Linnosmaa, Britta Hale, Bryan O’Halloran

Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A060, August 17–19, 2020

Paper No: DETC2020-22380

DOI: https://doi.org/10.1115/DETC2020-22380

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Topics: Risk, Risk analysis, Safety, Security

Proceedings Papers

Automatic Fault Tree Generation From Multidisciplinary Dependency Models for Early Failure Propagation Assessment

Nikolaos Papakonstantinou, Joonas Linnosmaa, Jarmo Alanen, Bryan O'Halloran

Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A037, August 26–29, 2018

Paper No: DETC2018-85189

DOI: https://doi.org/10.1115/DETC2018-85189

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Topics: Failure, Safety, Systems engineering, Complex systems, Computer software, Cooling systems, Defense industry, Failure mechanisms, Human reliability analysis, Nuclear power stations

Proceedings Papers

A Model Driven Approach for Early Assessment of Defense in Depth Capabilities of Complex Sociotechnical Systems

Nikolaos Papakonstantinou, Teemu Tommila, Bryan O’Halloran, Jarmo Alanen, Douglas L. Van Bossuyt

Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A079, August 6–9, 2017

Paper No: DETC2017-67257

DOI: https://doi.org/10.1115/DETC2017-67257

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Topics: Defense industry, Design, Complex systems, Safety, Computer software, Cooling systems, Delays, Human factors, Mining, Nuclear power

Proceedings Papers

A Functional Modelling Based Methodology for Testing the Predictions of Fault Detection and Identification Systems

Nikolaos Papakonstantinou, Scott Proper, Douglas L. Van Bossuyt, Bryan O’Halloran, Irem Y. Tumer

Proc. ASME. IDETC-CIE2016, Volume 1B: 36th Computers and Information in Engineering Conference, V01BT02A015, August 21–24, 2016

Paper No: DETC2016-59916

DOI: https://doi.org/10.1115/DETC2016-59916

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Topics: Flaw detection, Modeling, Testing, Artificial intelligence, Data mining, Nuclear power stations, Safety

Proceedings Papers

A Plant-Wide and Function-Specific Hierarchical Functional Fault Detection and Identification (HFFDI) System for Multiple Fault Scenarios on Complex Systems

Nikolaos Papakonstantinou, Scott Proper, Bryan O’Halloran, Irem Y. Tumer

Proc. ASME. IDETC-CIE2015, Volume 1B: 35th Computers and Information in Engineering Conference, V01BT02A039, August 2–5, 2015

Paper No: DETC2015-46447

DOI: https://doi.org/10.1115/DETC2015-46447

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Topics: Complex systems, Flaw detection, Transfer functions, Failure, Machine learning, Nuclear power stations

Proceedings Papers

Simulation Based Machine Learning for Fault Detection in Complex Systems Using the Functional Failure Identification and Propagation Framework

Nikolaos Papakonstantinou, Scott Proper, Bryan O’Halloran, Irem Y. Tumer

Proc. ASME. IDETC-CIE2014, Volume 1B: 34th Computers and Information in Engineering Conference, V01BT02A022, August 17–20, 2014

Paper No: DETC2014-34628

DOI: https://doi.org/10.1115/DETC2014-34628

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Topics: Complex systems, Failure, Flaw detection, Machine learning, Simulation, Artificial neural networks, Fault location (Engineering), Nuclear power stations, Risk assessment, Sensitivity analysis

Proceedings Papers

Using a Feasibility Study of Human Computation for Failure Scenario Identification

Ryan Arlitt, Nikolaos Papakonstantinou, Bryan O’Halloran, Chris Hoyle, Robert Stone

Proc. ASME. IDETC-CIE2014, Volume 1B: 34th Computers and Information in Engineering Conference, V01BT02A004, August 17–20, 2014

Paper No: DETC2014-35363

DOI: https://doi.org/10.1115/DETC2014-35363

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Topics: Computation, Failure, Algorithms, Simulation, Complex systems, Failure analysis, Failure mechanisms, Feedback

Proceedings Papers

A Simulation Based Approach to Automate Event Tree Generation for Early Complex System Designs

Nikolaos Papakonstantinou, Seppo Sierla, Bryan O’Halloran, Irem Y. Tumer

Proc. ASME. IDETC-CIE2013, Volume 2B: 33rd Computers and Information in Engineering Conference, V02BT02A008, August 4–7, 2013

Paper No: DETC2013-12314

DOI: https://doi.org/10.1115/DETC2013-12314

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Topics: Algorithms, Boiling, Complex systems, Computer software, Failure, Nuclear design, Performance, Risk assessment, Safety, Simulation

Proceedings Papers

Using Fault Propagation Analyses for Early Elimination of Unreliable Design Alternatives of Complex Cyber-Physical Systems

Nikolaos Papakonstantinou, Seppo Sierla, Irem Y. Tumer, David C. Jensen

Proc. ASME. IDETC-CIE2012, Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B, 1183-1191, August 12–15, 2012

Paper No: DETC2012-70241

DOI: https://doi.org/10.1115/DETC2012-70241

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Topics: Cyber-physical systems, Design, Computer software, Modeling, Reliability, Simulation, Boiling, Complex systems, Engineers, Failure

Journal Articles

Simulation of Interactions and Emergent Failure Behavior During Complex System Design

Nikolaos Papakonstantinou, Seppo Sierla, David C. Jensen, Irem Y. Tumer

J. Comput. Inf. Sci. Eng. September 2012, 12(3): 031007.

DOI: https://doi.org/10.1115/1.4007309

Published Online: August 21, 2012

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Topics: Complex systems, Design, Failure, Simulation, Flow (Dynamics)

Proceedings Papers

Capturing Interactions and Emergent Failure Behavior in Complex Engineered Systems at Multiple Scales

Nikolaos Papakonstantinou, Seppo Sierla, David C. Jensen, Irem Y. Tumer

Proc. ASME. IDETC-CIE2011, Volume 2: 31st Computers and Information in Engineering Conference, Parts A and B, 1045-1054, August 28–31, 2011

Paper No: DETC2011-47767

DOI: https://doi.org/10.1115/DETC2011-47767

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Topics: Failure, Complex systems, Design, Boiling, Nuclear design, Risk assessment, Risk in Early Design, Simulation, Water

Journal citation

NARROW

Multi-Mission Engineering With Zero Trust: A Modeling Methodology and Application to Contested Offshore Wind Farms

A Zero-Trust Methodology for Security of Complex Systems With Machine Learning Components

A Zero Trust Hybrid Security and Safety Risk Analysis Method

Towards a Zero Trust Hybrid Security and Safety Risk Analysis Method

Automatic Fault Tree Generation From Multidisciplinary Dependency Models for Early Failure Propagation Assessment

A Model Driven Approach for Early Assessment of Defense in Depth Capabilities of Complex Sociotechnical Systems

A Functional Modelling Based Methodology for Testing the Predictions of Fault Detection and Identification Systems

A Plant-Wide and Function-Specific Hierarchical Functional Fault Detection and Identification (HFFDI) System for Multiple Fault Scenarios on Complex Systems

Simulation Based Machine Learning for Fault Detection in Complex Systems Using the Functional Failure Identification and Propagation Framework

Using a Feasibility Study of Human Computation for Failure Scenario Identification

A Simulation Based Approach to Automate Event Tree Generation for Early Complex System Designs

Using Fault Propagation Analyses for Early Elimination of Unreliable Design Alternatives of Complex Cyber-Physical Systems

Simulation of Interactions and Emergent Failure Behavior During Complex System Design

Capturing Interactions and Emergent Failure Behavior in Complex Engineered Systems at Multiple Scales

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