headshot

Olivia J. Pinon Fischer

Principal Research Engineer
Chief, Digital Engineering Division

Dr. Olivia Pinon Fischer is a Principal Research Engineer within the School of Aerospace Engineering at the Georgia Institute of Technology where she serves as the Chief of the Aerospace Systems Design Laboratory’s Digital Engineering Division. Dr. Pinon Fischer leads pivotal research efforts in close collaboration with industry and government experts, bringing together advancements in modeling, data management, and analytical capabilities to address challenges related to both complex engineering systems and socio-cyber-physical systems. In her position, she manages multi-disciplinary research teams in the fields of digital engineering, digital twins, digital thread & digital ecosystems, model-based systems engineering, and ML/AI. Dr. Pinon Fischer is an alumnus of the National Academy of Engineering US Frontiers of Engineering (USFOE) Symposium and a recipient of the 2024 Georgia Tech EVPR Institute Research Award for Outstanding Achievement in Research Program Impact. She is a member of the National Academies Consensus Study on Digital Transformation for the Department of the Air Force and an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA). Dr. Pinon Fischer currently serves as the Chair of AIAA’s Digital Engineering Integration Committee (DEIC) and leads AIAA’s Transformative Engineering of Systems Task Force. She is the Co-Chair of the NATO STO AVT Certification by Analysis Technical Activity and a member of the International Council of the Aeronautical Sciences (ICAS) Programme Committee. She also supports NAFEMS’ Engineering Data Science Working Group (EDSWG) and Women In Simulation Engineering (WISE). Dr. Pinon Fischer holds M.Sc. degrees in a variety of engineering fields and a Ph.D. in Aerospace Engineering from the Georgia Institute of Technology.

  • Doctor of Philosophy, Aerospace Engineering, 2012, Georgia Institute of Technology, Atlanta, GA - USA
  • Master of Science, Space Studies, 2006, International Space University, Strasbourg - France
  • Master of Science (Dual Major), 2005, Mechanical Engineering & Wood Science and Engineering, Oregon State University, Corvallis, OR - USA
  • Master of Science, Mechanical Engineering, 2003, Institut des Sciences et Techniques de l’Ingénieur de Lyon, Lyon - France
  • Bachelor of Science, Mathematics and Physics, 2000, University Claude Bernard Lyon 1, Lyon - France

Ongoing Research

  • Model-Based Enterprise Architecture for Institutional Management Digital Twins (Sponsor: NASA)
  • AI Tool (Sponsor: The Boeing Company)
  • CLOUDS: Contested Logistics Operations Using Digital Support (Sponsor: Northrop Grumman Corporation and Rolls Royce Corporation)
  • A Methodology for the Definition, Evaluation and Design of an Enterprise for Agility (Sponsor: Capgemini)
  • Future Factory Manufacturing and Supporting Applications for Equipment and Process Health Monitoring (Sponsor: The Boeing Company)
  • Analysis Metadata Tagging Automation (Sponsor: SLB)
  • Supply Chain Digital Twin (Sponsor: Collins Aerospace)
  • Digital Twin Predictive Systems Modeling (Sponsor: Northrop Grumman Corporation)

  1. The Grainger Foundation Frontiers of Engineering 2024 Symposium of the National Academy of Engineering, September 2024, The Grainger Foundation Frontiers of Engineering symposia bring together emerging engineering leaders from industry, academe, and government labs to discuss pioneering technical work and leading‑edge research.
  2. Boeing Visiting Professor Program, June 2024, Create learning and industry exposure opportunities to strengthen relations between Boeing and strategic academic partnerships to impact current and future research projects.
  3. Outstanding Achievement in Research Program Impact, EVPR Institute Research Award, March 2024, Awarded to exceptional faculty and staff for their commitment to “Research That Matters” — achievements fueled by a profound mission to advance science and technology for the betterment of society.
  4. Service Award, Georgia Institute of Technology, April 2022, Recognized for 10 years of dedicated service to the Institute.
  5. Associate Fellow, American Institute of Aeronautics and Astronautics (AIAA), January 2022, Awarded to individuals of distinction who have made notable and valuable contributions to the arts, sciences, or technology of aeronautics or astronautics.
  6. Session Best Paper Award: Burgain, P., Pinon, O.J., Feron, E., Clarke, J-P., and Mavris, D.N., “On the Value of Information Within a Collaborative Decision-Making Framework for Airport Departure Operations”, Session Best Paper Award, 2009 IEEE/AIAA 28th Digital Avionics Systems Conference (DASC), Orlando, Florida, October 2009

Awards with Students

  1. SLB’s Academia Innovation Program, SLB Digital Forum, “Automated Resource Allocation and Efficient Scheduling Grand Challenge”, Advisor to First Place Team, November 2024
  2. Dr. David M. Aber Scholarship Competition, Dassault Systèmes (DS) Community of Experts (CoE), “Design Environment for Lunar Operations and System-Architecting (DELOS) Grand Challenge”, Technical Lead to First Place Team, May 2024
  3. Georgia Tech Police Department’s Student Partnership award, Georgia Tech Police Department, Awarded to research faculty and students for their contributions to a safer campus by ASDL’s Grand Challenge team, March 2020
  4. Simio Student Competition, Advisor to First Place Team, 2016
  5. Simio Student Competition, Advisor to First Place Team, 2015

2025

  1. Invited Speaker, Automating the Extraction of Engineering Simulation mMtadata, NAFEMS ASSESS Congress, March 2025
  2. Invited Speaker, How Digital Twins are Transforming Service Training, 8th Military Virtual Training and Simulation Summit, 5-6 February 2025, Orlando FL
  3. Invited Speaker, Forum 360: Establishing a Digital Culture – Enabling New Ways of Working, AIAA SciTech 2025 Forum, 6-10 January 2025, Orlando FL
  4. Invited Speaker, Forum 360: Pattern-Based MBSE, AIAA SciTech 2025 Forum, 6-10 January 2025, Orlando FL

2024

  1. Invited Speaker, The Grainger Foundation Frontiers of Engineering 2024 Symposium of the National Academy of Engineering, 11-14 September 2024
  2. Invited Speaker, Digital Twins for Cislunar and Lunar Surface Ecosystems, Foundational Factors in Developing Digital Twins, NASA, July 2024
  3. Invited Speaker, Digital Culture ‑ Enabling Digital Dominance, Dayton Digital Transformation Summit, 8-10 May 2024
  4. Invited Speaker, Scaling Metadata Extraction with Large Language Models, NAFEMS ASSESS Congress, March 2024
  5. Invited Speaker, Forum 360: What Does Tomorrow Look Like, AIAA Scitech Forum, January 2024

2023

  1. Invited Speaker, Workforce Development&, Digital Engineering, Modeling and Simulation (DEM&S) Community of Practice, November 2023
  2. Invited Speaker, Beyond Expectations: Harnessing Diverse Career Opportunities in Simulation, NAFEMS Americas, November 2023
  3. Invited Speaker, DMM/DE Workforce Development and Culture, Department of the Air Force and Army Digital Materiel Management (DMM) Industry Association Consortium (IAC) Kickoff Workshop, November 2023
  4. Invited Speaker, NASA Transformation Tuesday Seminar, August 2023
  5. Invited Speaker, Digital Airworthiness & Certification Panel, AIAA Aviation Forum, June 2023, Presentation Title: A Workforce Development Perspective
  6. Invited Speaker, FAA 6th Annual Human Systems Integration (HSI), May 2023, Presentation Title: Digital Twins - A Primer
  7. Invited Speaker, Dayton Digital Transformation Week, May 2023, Presentation title: JADC2 in a Contested Logistics Environment – The Role of Digital Twins
  8. Invited Speaker, Digital Workforce Development – Best Practices, Dayton Digital Transformation Week, May 2023, Presentation title: Responding to the Challenges, Barriers and Needs for the Development of a Digital Workforce
  9. Invited Speaker, Dayton Digital Transformation Week, May 2023, Presentation title: Digital Thread - A Brief Overview
  10. Invited Speaker, Notes from the Front, NAFEMS ASSESS Congress, March 2023, Presentation title: Implementation of UMC4ES Efforts at ASDL
  11. Invited Speaker, Forum 360: Transformative Systems Engineering Success Stories, AIAA Scitech Forum, January 2023, Presentation title: Toward a Model‐Based Enterprise Architecture for Institutional Management Digital Twins
  12. Invited Speaker, Digital Workforce Development – Best Practices, AIAA Scitech Forum, January 2023, Presentation title: Responding to the Challenges, Barriers and Needs for the Development of a Digital Workforce

2022

  1. Invited Speaker, Northrop Grumman INCOSE Community of Practice, November 2022, Presentation title: Digital Airworthiness & Certification & the Promise of Digital Engineering
  2. Invited Speaker, Next Steps Towards Certification by Analysis, 33rd Congress of the International Council of the Aeronautical Sciences (ICAS), Stockholm, Sweden, 4‑9 September, 2022, Presentation title: A Digital Thread Perspective
  3. Invited Speaker, Digital Airworthiness Certification: Toward a Digital ASIP/PSIP, Aircraft Airworthiness & Sustainment (AA&S) Conference, August 2022, Presentation title: A Workforce Development Perspective
  4. Invited Speaker, Dayton Digital Transformation Week, August 2022, Presentation title: Digital Twin: Definition & Value - A Brief Overview
  5. Invited Speaker, Academia & Industry Collaboration: Preparing students for Careers in Engineering Simulation Webinar Series, NAFEMS, April 2022. Presentation Title: Georgia Tech’s Aerospace Systems Design Laboratory – Developing the Next Generation Workforce through Industry Collaboration
  6. Invited Speaker, AIAA Air Transportation Systems Technical Committee Education and Outreach Webinar Series, AIAA, January 2022, Presentation Title: Applications of AI/ML to Air Transportation Challenges

2021

  1. Invited Speaker, Today’s Opportunities and Challenges of Data Science in Engineering, NAFEMS, December 2021
  2. Invited Speaker, NASA Goddart IS&T Colloquium Lecture Series, November 2021, Presentation title: Cyber‑Physical Digital Twins – Georgia Tech Smart Campus Cases Studies
  3. Invited Speaker, Computer Modeling and Simulation, EASA-FAA Additive Manufacturing Workshop, November 2020, Presentation title: Digital Twin & Digital Thread – Definition, Value & Relevance to Certification
  4. Invited Speaker, Digital Airworthiness, Aircraft Airworthiness & Sustainment (AA&S) Conference, August 2021
  5. Invited Speaker, Digital Certification, Aircraft Airworthiness & Sustainment (AA&S) Conference, August 2021
  6. Invited Speaker, AI, Data Driven Models & Machine Learning: How Will Advanced Technologies Shape Future Simulation Processes, NAFEMS, April 2021, Panel Title: State of Explainable AI/ML
  7. Invited Speaker, AIAA Forum 360 - Model-Based Everything: Design Faster!, AIAA Scitech Forum, January 2021, Presentation title: Model‑Based Institutional Management ‑ Georgia Tech Smart Campus Case Studies: Cyber‑Physical Digital Twins
  8. Invited Speaker, The Impact of Model‑based Design Technology and Methods, AIAA Scitech Forum, January 2021, Presentation title: Model‑Based Design of Complex Systems Through the Concept of Digital Twin
  9. Invited Speaker, Achieving Pervasive Engineering Simulation: 2020‑2030 ‑ Exploring the Impact of Systems Thinking & Model‑Based Engineering, NAFEMS, Webinar Title: AI, Data Driven Models & Machine Learning: How Will Advanced Technologies Drive Future Simulation Processes?, November 2020, Presentation Title: AI/ML & Engineering Design

  1. Lecture Title: Digital Engineering, Digital Twins & Digital Thread, AE6383 ‐ Applied Design Laboratory, Fall 2023 & 20224
  2. Lecture Title: Digital Engineering for Smart Cities, CP6552/ARCH6447‐PY/ARCH4447‐PY ‐ Design of Smart Urban Systems/Urban Ecological Design, Spring 2022 - 2025
  3. Lecture Title: (Digital) Manufacturing-Influenced Design - Past & Current Efforts, AE6372 - Aerospace Systems Engineering, Fall 2021 & 2022 and Summer 2023
  4. Lecture Title: Digital Twins, CP8873 C/AE8803-SCW - Smart City Workshop, Fall 2020 - 2024

Book Chapters

  1. O.J. Pinon Fischer, S. Sabri and Y. Chen, Fundamentals of Digital Twins, Modeling Approaches, and Governance, in Digital Twin Fundamentals and Applications, SpringerNature, November 2024, Link to PDF
  2. R. Heidary, J. Prasad-Rao and O. J. Pinon Fischer, Smart Buildings in the IoT Era - Necessity, Challenges, and Opportunities, October 2023, Link to PDF
  3. D. N. Mavris and O. J. Pinon, A Systems Engineering Approach to Aircraft Design, in Encyclopedia of Aerospace Engineering, eds R. Blockley and W. Shyy, John Wiley: Chichester, Published 15th June 2012, Link to PDF

Policy/Position/Implementation Papers

  1. C. Amodeo, C. Buchholz, T. DePauw, O.J. Pinon Fischer, A. Karl, S. Mooney. Getting Started with Engineering Data Science, NAFEMS Engineering Data Science Working Group (EDSWG), ISBN: 978-1-83979-229-8, Fall 2024, Link to PDF
  2. AIAA Digital Engineering Integration Committee (DEIC), Digital Thread: Definition, Value & Reference Model, June 2023, Link to PDF
  3. AIAA Digital Engineering Integration Committee (DEIC), Digital Twin: Reference Model, Realizations & Recommendations - An AIAA, AIA and NAFEMS Implementation Paper, January 2023, Link to PDF
  4. AIAA Digital Engineering Integration Committee (DEIC), Digital Twin: Definition & Value - An AIAA and AIA Position Paper, December 2020, Link to PDF

Standards

  1. American Institute of Aeronautics and Astronautics, Recommended Practice: When Flight Modelling Is Used to Reduce Flight Testing Supporting Aircraft Certification (AIAA R-154-2021), April 2021, Link to PDF

Journal Papers

  1. P. Jammal, O.J. Pinon Fischer, D.N. Mavris and G.Wagner, Enhancing Model Generalizability in Aircraft Carbon Brake Wear Prediction: A Comparative Study and Transfer Learning Approach, Under Review for Publication in Aerospace
  2. E. Karagoz, D.N. Mavris, O.J. Pinon Fischer, Identification of Missing Knowledge in MBSE System Models Using Graph-Based Machine Learning, Under Review for Publication in Systems Engineering, Link to PDF
  3. P. Jammal, O.J. Pinon Fischer, D.N. Mavris and G.Wagner, Advancing Aviation Safety Through Predictive Maintenance: Machine Learning Approach for Carbon Brake Wear Severity Classification, Under Review for Publication in Transportation Engineering, Link to PDF
  4. H. Aydemir, U. Zengin, O.J. Pinon Fischer, U. Durak, S. Hartmann, From Iron Birds to Digital Twins with Engineering Simulators: Towards Virtual Certification, Journal of Aerospace Information Systems, 1-10, Link to PDF
  5. O.J. Pinon Fischer and D.N. Mavris, Beyond Digital Twins: Realizing Value through Digital Continuity, 2024, The Bridge, 54(4), 28-32, Link to PDF
  6. E. Karagoz, O.J. Pinon Fischer and D.N. Mavris, (2024). Enhancing Ontological Metamodel Creation through Knowledge Extraction from Multidisciplinary Design and Optimization Frameworks, Systems, 12 (12), 555, Link to PDF
  7. A. Tikayat Ray, O. J. Pinon Fischer, R. T. White, B. F. Cole and D. N. Mavris, Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements, AIAA Journal of Aerospace Information Systems, 21(6), March 2024, Link to PDF
  8. S.I. Kampezidou, A. Tikayat Ray, A. Prabhakara Bhat, O.J. Pinon Fischer, D.N. Mavris, Fundamental Components and Principles of Supervised Machine Learning Pipelines with Numerical and Categorical Data, Eng 2024, 5(1), Link to PDF
  9. A. Tikayat Ray, B. F. Cole, O. J. Pinon Fischer, A. P. Bhat, R. T. White, and D. N. Mavris, Examining the Potential of Generative Language Models for Aviation Safety Analysis: Case Study and Insights using the Aviation Safety Reporting System (ASRS), Aerospace, 10(9), 770, August 2023, Link to PDF
  10. A. Tikayat Ray, A. P. Bhat, R. T. White, O. J. Pinon Fischer, D. N. Mavris, Agile Methodology for the Standardization of Engineering Requirements using Large Language Models, Systems, 11(7), 352, July 2023, Link to PDF
  11. T. Dussauge, W.J. Sung, O. Pinon Fischer and D. N. Mavris, A Reinforcement Learning Approach to Airfoil Shape Optimization, Nature’s Scientific Reports, 13(9753), June 2023, Link to PDF
  12. J. Prasad Rao, O. J. Pinon Fischer, J. R. Williams, N. C. Rowe, T. G. Puranik, D. N. Mavris, M. W. Natali, M. J. Tindall, and B. W. Atkinson, Attrition Risk and Aircraft Suitability Prediction in US Navy Pilot Training Using Machine Learning, Aerospace, April 2023, 10(4), Link to PDF
  13. A. Tikayat Ray, B. F. Cole, O. J. Pinon Fischer, R. T. White and D. N. Mavris, aeroBERT-Classifier: Classification of Aerospace Requirements Using BERT. Aerospace, 10(3), 279, February 2023, Link to PDF
  14. O. J. Pinon Fischer, J. F. Matlik, W. D. Schindel, M. O. French, M. H. Kabir, J. S. Ganguli, M. Hardwick, S. M. Arnold, A. D. Byar, J-H Lewe, S. Mahadevan, S. Duncan, J. J. Dong, D. A. Kinard, A. Maiaru, Digital Twin: Reference Model, Realizations and Recommendations, INCOSE INSIGHT, April 2022, 25(1), pp.50-55, Link to PDF
  15. E. Mangortey, O.J. Pinon Fischer and D.N. Mavris, Application of Machine Learning to the Analysis and Assessment of Airport Operations, Journal of Aerospace Information Systems, December 2021, Link to PDF
  16. S. Corrado, T.G Puranik, O.J. Pinon Fischer and D.N. Mavris, A Clustering-based Quantitative Analysis of the Interdependent Relationship between Spatial and Energy Anomalies in ADS-B Trajectory Data, Transportation Research Part C: Emerging Technologies, Vol 131, October 2021, Link to PDF
  17. E. Mangortey, M-H. Bleu-Laine, T.G. Puranik, O.J. Pinon Fischer, D.N. Mavris, A Machine Learning Approach to the Analysis of Traffic Management Initiatives, 2021, Journal of Air Transportation, 29(2), pp.56-68, Link to PDF
  18. D. Rajaram, T.G. Puranik, A.S. Renganathan, WJ. Sung,O.J. Pinon Fischer, D.N. Mavris and A. Ramamurthy, 2020. Empirical Assessment of Deep Gaussian Process Surrogate Models for Engineering Problems, Journal of Aircraft, 58(1), pp.182-196, Link to PDF
  19. H. Lee, S. Madar, S. Sairam, T.G. Puranik, A. Payan, M. Kirby, O.J. Pinon and D. N.Mavris, Critical Parameter Identification for Safety Events in Commercial Aviation using Machine Learning, Aerospace, June 2020, 7(6), 73, Link to PDF
  20. T. Puranik, A. Gharbi, B. Bagdatli, O. J. Pinon Fischer and D. N. Mavris, Benchmarking Deep Neural Network Architectures for Machining Tool Anomaly Detection, Smart and Sustainable Manufacturing Systems, Vol 4, no. 2 (2020): 121-145, Link to PDF
  21. C. P. Frank, R. A. Marlier, O.J. Pinon Fischer, and D. N. Mavris, Evolutionary Multi-Objective Multi-Architecture Design Space Exploration Methodology, Optimization and Engineering, January 2018, Volume 19, Issue 2,pp 359-381, Link to PDF
  22. D.J.L.Siedlak, O.J. Pinon, B. Robertson and D.N. Mavris, Simulation-based Optimization Approach to Reduce the Impact of Manual Installation Tasks on Low Volume, Aerospace Production Flows, Journal of Manufacturing Systems, January 2018, Volume 46, Pages 193-207, Link to PDF
  23. C. P. Frank, O.J. Pinon Fischer, and D. N. Mavris, A Flexible Multi-Disciplinary Environment for Performance, Life-Cycle Cost, and Safety Evaluation of Suborbital Vehicles, Aerospace Science and Technology, June 2018, Volume 77, Pages 555-562, Link to PDF
  24. D. J.L. Siedlak, O.J. Pinon, P. R. Schlais, T. M. Schmidt and D. N. Mavris, A Digital Thread Approach to Support Manufacturing-Influenced Conceptual Aircraft Design, Research in Engineering Design, April 2018, Volume 29, Issue 2, pp 285–308, Link to PDF
  25. C.P. Frank, O.J. Pinon Fischer, D.N. Mavris, and C.M. Tyl, Design Methodology for the Performance, Weight, and Economic Assessment of Chemical Rocket Engines, Journal of Aerospace Engineering, July 2016, Link to PDF
  26. P. Burgain, O. J. Pinon, E. Feron, J-P Clarke and D. N. Mavris, Optimizing Pushback Decisions to Valuate Airport Surface Surveillance Information, IEEE Transactions on Intelligent Transportation Systems, Vol. 13, Issue 1, pp 180-192, March 2012, Link to PDF
  27. O. J. Pinon, D. N. Mavris and E. Garcia, Harmonizing European and American Aviation Modernization Efforts through Visual Analytics, Journal of Aircraft, Vol. 48, No.5., September-October 2011, Link to PDF

Conference Papers

  1. K. Cho, O.J. Pinon Fischer and D.N. Mavris, Improving LLM performance in Aerospace NER task: A Study on Data Augmentation and Fine-Tuning Strategies, To be presented at AIAA Aviation 2025 Forum, Las Vegas, NV, July 2025
  2. A. Reddy, O.J. Pinon Fischer, M.G. Balchanos and D.N. Mavris, Lunar Extravehicular Activity: Enhanced Decision Making in a Virtual Environment, To be presented at AIAA Aviation 2025 Forum, Las Vegas, NV, July 2025
  3. N. Green, B.W. Leicht, M. Misra, M. Pelia, J. Vallejos, M. Ozcan, O.J. Pinon Fischer, D.N. Mavris, A. Karl and J.F Matlik, Predictive Gas Turbine Degradation Model for Digitally Integrated Cargo Transport, AIAA SciTech 2025 Forum, Orlando, FL, January 6 10, 2024, AIAA-2025-0707, Link to PDF
  4. P. Boyer, S. Park, C. Jerresand, S. Sambath Ramkumar, M.G Balchanos, O.J. Pinon Fischer and D.N. Mavris, Design Environment for Lunar Operations and Systems Architecting, AIAA SciTech 2025 Forum, Orlando, FL, January 6 10, 2024, AIAA-2025-0725, Link to PDF
  5. N.S Birbasov, P. Wang, S. Cimtalay, O.J. Pinon Fischer, M.G Balchanos, and D.N. Mavris, A Modeling and Simulation Environment for the Quantitative Assessment of Operational and Technological Improvements in Military Logistics, AIAA SciTech 2025 Forum, Orlando, FL, January 6 10, 2024, AIAA-2025-2025-0708, Link to PDF
  6. S.R. Mueller, O.J. Pinon Fischer, B. Bagdatli, S. Cimtalay, D.N. Mavris, A. Faveto, A. Mazzoldi, N. Croue, Towards a Methodology for the Definition and Evaluation of Enterprises through Modeling and Simulation: Application to Product Development, AIAA SciTech 2025 Forum, Orlando, FL, January 6 10, 2024, AIAA-2025-1660, Link to PDF
  7. M. Hoem, M. Jurasek, L. Manuel, S. Samal, S.I. Kampezidou, T. Sarton du Jonchay, O.J. Pinon Fischer, D.N. Mavris, T. Wiegele, E. Johnson, K. Dunn and D. Bickelhaupt, A Quantitative Assessment of the Environmental and Economic Impact of Digital Twins on Large-Scale Aerospace Logistics Operations, AIAA SciTech 2025 Forum, Orlando, FL, January 6 10, 2024, AIAA-2025-2025-0709, Link to PDF
  8. P. Jammal, O.J. Pinon Fischer, D.N. Mavris and G. Wagner, Predictive Maintenance of Aircraft Braking Systems: A Machine Learning Approach to Clustering Brake Wear Patterns, AIAA SciTech 2025 Forum, Orlando, FL, January 6 10, 2024, AIAA-2025-0710, Link to PDF
  9. S.A Cantrell, C.H. Margolis, M.R. Krauss, O.J. Pinon Fischer and D.N. Mavris, Digital Twins for Sustainment-Oriented Wargaming, AIAA SciTech 2025 Forum, Orlando, FL, January 6 10, 2024, AIAA-2025-0706, Link to PDF
  10. Schindel, G. Shao, J. Hightower, N. Taylor, L. Pullum, J. Matlik, O. Fischer, M. French, A Cross‑Society Collaboration Project, Mapping Consistency Confirmation Frameworks of Different Communities, ASME VVUQ2024, College Station, TX, May 13‑14, 2024
  11. M. Balchanos, P. Wang, A. Reddy, O.J. Pinon Fischer, S. Cimtalay, Predictive Modeling of a Launcher Digital Twin, Strategic Deterrence Digital Engineering Conference (StratDDEC) 2024, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, February 6‑8, 2024
  12. R. Heidary, J. Willliams, J. Parsad Rao, O.J. Pinon Fischer, S. Duncan, and M. Dosberg, Integrating R&M throughout UAF – An Infrastructure Case Study, 70th Annual Reliability and Maintainability Symposium, Albuquerque, NM, January 22‑25, 2024, Link to PDF
  13. G.S. Schlichting, A.V. Reddy, D.M. Murphy, J.C. Oroz, O.J. Pinon Fischer, D.N. Mavris and M. French, Contested Logistics Operations Using Digital Support, AIAA SciTech 2024 Forum, Orlando, FL, January 8‑12, 2024, AIAA 2024‑0481, Link to PDF
  14. J.D. Kambhampaty, J.L. Ortiz Solano, H. Strauss, A. Palaniappan, S. Bisso, O.J. Pinon Fischer, D.N. Mavris, J. Matlik, A. Karl and J. Dahlstrom, Knowledge Graphs as Models of Integrated Digital Environments, AIAA SciTech 2024 Forum, Orlando, FL, January 8‑12, 2024, AIAA 2024‑1132, Link to PDF
  15. J.D. Kambhampaty, G.S. Schlichting, C. Coletti, J.P. Evans, A.V. Reddy, O.J. Pinon Fischer, D.N. Mavris and R.E. Graves, Graph‑Based Digital File Curation for Engineering Reuse: Methodology and Case Study, AIAA SciTech 2024 Forum, Orlando, FL, January 8‑12, 2024, AIAA 2024‑1133, Link to PDF
  16. J.P. Evans, W.T. Boswell, G.S. Schlichting, J.D. Kambhampaty, O.J. Pinon Fischer and D.N. Mavris, Knowledge Capture and Management within an Academic Research Lab: A Case Study, AIAA SciTech 2024 Forum, Orlando, FL, January 8‑12, 2024, AIAA 2024‑1134, Link to PDF
  17. N. Lepez Da Silva Duarte, O.J. Pinon Fischer and D.N. Mavris, Towards a Framework for Modeling and Simulating Complex Enterprises: The Case of an Academic Research Laboratory, AIAA SciTech 2024 Forum, Orlando, FL, January 8‑12, 2024, AIAA 2024‑2698, LInk to PDF
  18. A.M. Zarate Villazon, V.J. Peak, S.J. Duncan, O.J. Pinon Fischer and D.N. Mavris, A Multidisciplinary Approach to the Evaluation and Selection of Infrastructure Electrification Solutions, AIAA SciTech 2024 Forum, Orlando, FL, January 8‑12, 2024, AIAA 2024‑0855, Link to PDF
  19. A.V. Reddy, G.S. Schlichting, D.M. Murphy, J.C. Oroz, O.J. Pinon Fischer, A.M. Sudol, D.N. Mavris, M. French, and C. Beattie, JADC2 in a Contested Logistics Environment: The Role of Digital Twins, NATO AVT-369 Research Symposium on Digital Twin Technology Development and Application for Tri-Service Platforms and Systems, Bastad, Sweden, October 2023
  20. M. Belisle, P. Wang, J. Matticoli, O.J. Pinon Fischer, M. Balchanos, A. Vanderwyst and S. Cimtalay, Predictive Systems Modeling Methods for Launcher Digital Twin Development, Strategic Deterrence Digital Engineering Conference (StratDDEC) 2023, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, February 7 – 9, 2023
  21. M. Balchanos, M. Rines, O.J. Pinon Fischer and D.N. Mavris, Towards an Architecting Framework for the Design of Self‑healing Resilient Systems, enabled by Reinforcement Learning‑based Reconfiguration, Invited Paper, AIAA SciTech 2023 Forum, National Harbor, MD, January 23‐27, 2023, AIAA‐2023‐0132, Link to PDF
  22. A. Tikayat Ray, O.J. Pinon Fischer, D.N. Mavris, R. T. White and B.F. Cole, aeroBERT‑NER: Named‑Entity Recognition for Aerospace Requirements Engineering using BERT, AIAA SciTech 2023 Forum, National Harbor, MD, January 23‐27, 2023, AIAA‐2023‐2583, Link to PDF
  23. M. de Santos, A. Cox, O.J. Pinon Fischer and D.N. Mavris, Development of a Parametric Structural Analysis Environment to Support the Manufacturing and Production of a Composite UAV Wing, AIAA SciTech 2023 Forum, National Harbor, MD, January 23‐27, 2023, AIAA‐2023‐2101, Link to PDF
  24. J. Oroz, Z. Roohi, G. Fronk, S. Abelezele, R. Al Fawares, O.J. Pinon Fischer, A. Gharbi, D.N. Mavris, M. Petersen, A. Karl, J. Matlik and B. Schwering, Implementing the Digital Thread ‑ A Proof‑of‑Concept, AIAA SciTech 2023 Forum, National Harbor, MD, January 23‐27, 2023, AIAA‐2023‐1405, Link to PDF
  25. I. Marks, O.J. Pinon Fischer, D.N. Mavris and N. Fehrenbacher, Assessing the Value of Digital Twins in a Multi‑Agent Dynamic Decision‑Making Context, AIAA SciTech 2023 Forum, National Harbor, MD, January 23‐27, 2023, AIAA‐2023‐1403, Link to PDF
  26. R. Rameshbabu, D. Rajaram, O.J. Pinon Fischer and D.N. Mavris, Estimation of Rotor Imbalance and Model Discrepancy using a Bayesian Approach, 33rd Congress of the International Council of the Aeronautical Sciences (ICAS), Stockholm, Sweden, 4‑9 September, 2022, Link to PDF
  27. A. Gharbi, O.J. Pinon Fischer and D.N. Mavris, Towards a Robust Computational Solution for the Verification and Validation of Complex Systems in MBSE using Wymore’s Tricotyledon Theory of System Design, AIAA SciTech 2022 Forum, San Diego, CA, January 3‑7, 2022, AIAA‑2022‑0094, Link to PDF
  28. H. Lee, T.G. Puranik, O.J. Pinon and D.N. Mavris, Flight Data Driven System Identification Using Neural Networks for Landing Safety Assessment, 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), 2021, pp. 1‑9, Link to PDF
  29. H. Lee, T.G. Puranik, O.J. Pinon and D.N. Mavris, Towards an Online Predictive Model of Aircraft Energy State using Supervised Machine Learning, 32nd Congress of the International Council of the Aeronautical Sciences (ICAS), Shanghai, China, 7‑10 September 2021, Link to PDF
  30. R. Rameshbabu, D. Rajaram, O.J. Pinon Fischer, T.G. Puranik and D.N. Mavris, An Exercise in Developing a Supervised Anomaly Detection Model with Automatically Engineered Features, 32nd Congress of the International Council of the Aeronautical Sciences (ICAS), Shanghai, China, 7‑10 September 2021, Link to PDF
  31. M. Emara, M. dos Santos, N. Chartier, J. Ackley, T.G. Puranik, A. Payan, M. Kirby, O.J. Pinon, D.N. Mavris, Machine Learning Enabled Turbulence Prediction Using Flight Data for Safety Analysis, 32nd Congress of the International Council of the Aeronautical Sciences (ICAS), Shanghai, China, 7‑10 September 2021, Link to PDF
  32. M. Cook, S. Swanson, M. Balchanos, S. Duncan, O.J. Pinon Fischer and D.N. Mavris, Parametric Exploration of Microgrid Components and Implications to the Creation of a Digital Twin, AIAA Propulsion & Energy Forum and Exposition, Virtual Event, August 9‑11, 2021, AIAA‑2021‑3372, Link to PDF
  33. S. Corrado, T.G. Puranik, O.J. Pinon Fischer, D.N. Mavris, R. Heidary, J. Williams, Deep Autoencoder for Anomaly Detection in Terminal Airspace Operations, AIAA Aviation Forum 2021, August 2‑6, 2021, AIAA‑2021‑2405, Link to PDF
  34. D. Commun, C. Pradalier, M.G. Balchanos, O.J. Fischer and D.N. Mavris, Evaluation of a drone‑based camera calibration approach for, hard-to‑reach cameras, 2021 IEEE International Conference on Robotics and Automation (ICRA), May‑June 2021, Xi‑an, China , Link to PDF
  35. Y. Ogun Kargin, A. Barnes, O. Deniz Uysal, O.J. Pinon Fischer, M. Balchanos, D.N. Mavris, M.J. Hughes, J. LaJeunesse, A. Karl and J. Matlik, Digital enterprise across the lifecycle, AIAA SciTech 2021 Forum, Virtual Event, January 2021, AIAA‑2021‑0240, Link to PDF
  36. S.J. Corrado, T.G. Puranik, O.J. Pinon Fischer and D.N. Mavris, Trajectory Clustering within the Terminal Airspace Utilizing a Weighted Distance Function, 8𝑡ℎ OpenSky Symposium 2020, 12‑13 November 2020, Virtual Event, Link to PDF
  37. D. Rajaram, R.H. Gautier, C. Perron, O.J. Pinon Fischer and D.N. Mavris, Non‑Intrusive Parametric Reduced Order Models for Systems with Large Parameter Spaces via Active Subspaces, 2020 AIAA AVIATION Forum and Exposition, Reno, Nevada, June 15 – 19, 2020, AIAA‑2020‑3184, Link to PDF
  38. D. Rajaram, T.G. Puranik, A. Renganathan, W.J. Sung, O.J. Pinon Fischer, D.N. Mavris and A. Ramamurthy, Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows, AIAA SciTech Forum, Orlando, Florida, January 6‑10, 2020, AIAA‑2020‑1640, Link to PDF
  39. G. Achour, W.J. Sung, O.J. Pinon Fischer and D.N. Mavris, Development of a Conditional Generative Adversarial Network for Airfoil Shape Optimization, AIAA SciTech Forum, Orlando, Florida, January 6‑10, 2020, AIAA‑2020‑2261, Link to PDF
  40. K. Sheridan, T.G. Puranik, E. Mangortey, O.J. Pinon Fischer, M. Kirby and D.N. Mavris, An Application of DBSCAN Clustering for Flight Anomaly Detection During the Approach Phase, AIAA SciTech Forum, Orlando, Florida, January 6‑10, 2020, AIAA‑2020‑1851, Link to PDF
  41. E Mangortey, D. Monteiro, J. Ackley, Z. Gao, T.G. Puranik, M. Kirby, O.J. Pinon Fischer and D.N. Mavris, Application of Machine Learning Techniques to Parameter Selection for Flight Risk Identification, AIAA SciTech Forum, Orlando, Florida, January 6‑10, 2020, AIAA‑2020‑1850, Link to PDF
  42. E. Mangortey, T.G. Puranik, O.J. Pinon Fischer and D.N. Mavris, Prediction and Analysis of Ground Stops with Machine Learning, AIAA SciTech Forum, Orlando, Florida, January 6‑10, 2020, AIAA‑2020‑1684, Link to PDF
  43. E. Mangortey, T.G. Puranik, O.J. Pinon Fischer and D.N. Mavris, Classification, Analysis, and Prediction of the Daily Operations of Airports Using Machine Learning, AIAA SciTech Forum, Orlando, Florida, January 6‑10, 2020, AIAA‑2020‑1196, Link to PDF
  44. E. Mangortey, M‑H Bleu‑Laine, T.G. Puranik, O.J. Pinon Fischer and D.N. Mavris, Application of Machine Learning to the Analysis and Prediction of the Coincidence of Ground Delay Programs and Ground Stops, AIAA SciTech Forum, Orlando, Florida, January 6‑10, 2020, AIAA‑2020‑1683, Link to PDF
  45. J. E. G. Pagan, E. T. Minier, E. Hulette, O. J. Pinon Fischer and D. N. Mavris, Informing Cost Estimation Techniques of Limited‑life, Unconventional Configuration Systems using Physics‑based Analysis, 87th MORS Symposium, Colorado Springs, CO, June 17‑20, 2019
  46. J. E. G. Pagan, O. J. Pinon Fischer and D. N. Mavris, Developing Adaptive Agent‑Behaviors & Optimizing Battle Management Task Allocation for Autonomous Systems of Systems, 87th MORS Symposium, Colorado Springs, CO, June 17‑20 2019
  47. O.J. Pinon Fischer, J. Wang, S. Briceno, G. Price, M.R. Waszak, D.N. Mavris, Innovation and Convergence/Divergence: Searching the Technology Landscape, 2019 AIAA Aviation and Aeronautics Forum and Exposition, Dallas, TX, 17‑21 June, 2019, AIAA-2019-2875, Link to PDF
  48. G. Dard, E. Mangortey, O. J. Pinon and D. N. Mavris, Application of Data Fusion and Machine Learning to The Analysis of the Efficiency of Recommended Flight Reroutes, 2019 AIAA Aviation and Aeronautics Forum and Exposition, Dallas, TX, 17‑21 June, 2019, AIAA-2019-3189 Link to PDF
  49. E. Mangortey, O. J. Pinon, T.G. Puranik, and D. N. Mavris, Predicting The Occurrence of Weather And Volume Related Ground Delay Programs, 2019 AIAA Aviation and Aeronautics Forum and Exposition, Dallas, TX, 17‑21 June, 2019, AIAA-2019-3188, Link to PDF
  50. M. Huguenin, G. Achour, D. Commun, O. J. Pinon and D. N. Mavris, 3D Cloud Modeling using Data Fusion and Machine Learning Techniques, 2019 AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, San Diego, California, January 7-11, 2019, AIAA 2019-2266, Link to PDF
  51. J. Price, O.J. Pinon Fischer and D. N. Mavris, Definition of Optimal Agent Behaviors Using Reinforcement Learning, 2019 AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, San Diego, California, January 7-11, 2019, AIAA 2019-2200, Link to PDF
  52. E. Mangortey, J. Gilleron, G. Dard, O.J. Pinon Fischer and D. N. Mavris, Development of a Data Fusion Framework to support the Analysis of Aviation Big Data, 2019 AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, San Diego, California, January 7-11, 2019, AIAA 2019-1538, Link to PDF
  53. O.J. Pinon, D.J.L. Siedlak and D.N. Mavris, Enabling the Digital Factory through the Integration of Data-Driven and Simulation Model, 31st Congress of the International Council of the Aeronautical Sciences(ICAS), Belo Horizonte, Brazil, 9-14 September 2018, Link to PDF
  54. J.E.G. Pagan, M. Kurande, P. Kumar, J. Mehnert, O.J. Pinon Fischer and D.N. Mavris, Designing Systems of Systems: The Coupling between Sensing Capabilities & Agent Behaviors, 86th MORS Symposium, Monterey, CA, June 19-21, 2018
  55. J.E.G. Pagan, D. Huynh, S. R. Schafer, O.J. Pinon Fischer and D. N. Mavris, Enabling Multi-Disciplinary Cost Effectiveness Tradeoffs in the Design of Attritable Systems-of-Systems, 86th MORS Symposium, Monterey, CA, June 19-21, 2018
  56. D.N. Mavris, M.G. Balchanos, O.J. Pinon Fischer and WJ. Sung, Towards a Digital Thread-enabled Framework for the Analysis and Design of Intelligent Systems, Invited Paper in session on “Intelligent Systems in Engineering Design”, 2018 AIAA Aerospace Sciences Meeting, AIAA SciTech Forum Gaylord Palms, Kissimmee, Florida, January 8-12, 2018, AIAA2018-1367, Link to PDF
  57. J.E.G. Pagan, D. Huynh, S.R. Schafer, O.J. Pinon and D.N. Mavris, Revolutionary Affordable Architecture Generation and Evaluation, 2018 AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, Gaylord Palms, Kissimmee, Florida, 8-12 January, 2018, AIAA 2018-174, Link to PDF
  58. D.N. Mavris, M.G. Balchanos, WJ. Sung and O.J. Pinon, Towards a big Data-Enabled Virtual Experimentation Framework for Sustainability Oriented Large-Scale Infrastructure Planning, International Conference on Adaptive Modeling and Simulation (ADMOS 2017), Verbania, Italy, 26-28 June, 2017, Link to PDF
  59. S.L. Libby, D.J.L. Siedlak, O.J. Pinon and D.N. Mavris, Cost-Capability Analysis of UAS Family and Flexible Factory Design, 17th AIAA Aviation Technology, Integration, and Operations Conference, 2017 AIAA Aviation and Aeronautics Forum and Exposition, Denver, Colorado, USA, June 5-9, 2017, AIAA-2017-4250, Link to PDF
  60. K. Griendling, O.J. Pinon and D. N. Mavris, Virtual Experimentation and Visual Analytics in Support of Systems Engineering and Systems-of-Systems Engineering Efforts, Invited Paper, 30th Congress of International Council of the Aeronautical Sciences (ICAS), DCC, Daejeon, Korea, September 25-30, 2016, Link to PDF
  61. D.N. Mavris, M.G. Balchanos, WJ. Sung, and O.J. Pinon, A Data Mining and Visual Analytics Perspective on Sustainability-Oriented Infrastructure Planning, Lecture Notes in Computer Science, Vol. 9714, pp.330-341, Ying Tan and Yuhui Shi(Eds), Springer, 2016, Link to PDF
  62. C.P. Frank, R.A. Marlier, O.J. Pinon Fischer, and D.N. Mavris, An Evolutionary Multi-Architecture Multi-Objective Optimization Algorithm for Design Space Exploration, 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, San Diego, California, USA, 4-8 January, 2016, AIAA-2016-0414, Link to PDF
  63. C.P. Frank, M.F. Atanian, O.J. Pinon Fischer, and D.N. Mavris, A Conceptual Design Framework for Performance, Life-Cycle Cost, and Safety Evaluation of Suborbital Vehicles, 54th AIAA Aerospace Science Meeting, AIAA SciTech, San Diego, California, USA, 4-8 January 2016, AIAA 2016-1276, Link to PDF
  64. C.P. Frank, O.J. Pinon Fischer and D.N. Mavris, Variable-Oriented Morphological Matrix that Generates Architectures for an Improved Multidisciplinary Optimization Process, 6th European Conference for Aeronautics and Space Sciences (EUCASS), Krakow, Poland, 29 June -3 July, 2015
  65. C.P. Frank, C. Tyl, O.J. Pinon Fischer and D.N. Mavris, New Design Framework for Performance, Weight and Life-Cycle Cost Estimation of Rocket Engines, 6th European Conference for Aeronautics and Space Sciences (EUCASS), Krakow, Poland, 29 June - 3 July, 2015
  66. J. Kim, O.J. Pinon and D.N. Mavris, Parallel Simulation of Agent-Based Model for Air Traffic Network, AIAA Modeling and Simulation Technologies Conference, Aviation Forum 2015, Dallas, Texas, 22-26 June, 2015, AIAA 2015-2799, Link to PDF
  67. D.J.L. Siedlak, P.R. Schlais, O.J. Pinon and D.N. Mavris, Supporting Affordability-Based Design Decisions in the Presence of Demand Variability, ASME 2015 International Manufacturing Science and Engineering Conference (MSEC 2015), Charlotte, North Carolina, June 8-12, 2015, MSEC2015-9422, Link to PDF
  68. C.P. Frank, O.J. Pinon Fischer and D.N. Mavris, A Design Space Exploration Methodology to Support Decisions under Evolving Requirements’ Uncertainty and its Application to Suborbital Vehicles, 53rd AIAA Aerospace Sciences Meeting, Kissimee, Florida, 5-9 January 2015, AIAA2015-1010, Link to PDF
  69. J. Domercant, O. J. Pinon, N. Knisely and D.N. Mavris, An Evaluation Framework for Unmanned Aircraft Systems Integration in the National Airspace System, 14th AIAA Aviation Technology, Integration, and Operations Conference, AIAA AVIATION Forum, Atlanta, GA, 16-20 June 2014, AIAA 2014-2283, Link to PDF
  70. Z. Tang, O. J. Pinon and D.N. Mavris, Identification of Key Factors in Integrating Aircraft and the Associated Supply Chains during Early Design Phases, 14th AIAA Aviation Technology, Integration, and Operations Conference, AIAA AVIATION Forum, Atlanta, GA, 16-20 June 2014, Link to PDF
  71. D.J.L. Siedlak, T.M. Schmidt, O.J. Pinon and D.N. Mavris, A Methodology for the Parametric Exploration of the Impact of Production Planning on the early Stages of Design, ASME 2014 International Manufacturing Science and Engineering Conference (MSEC 2014), Detroit, MI, June 9-13, 2014, MSEC2014-3974, Link to PDF
  72. S. I. Briceno, O. J. Pinon, B. Laughlin and D. N. Mavris, Addressing Integration Challenges in the Design of Complex Aerospace Systems, NAFEMS World Congress (NWC), Salzburg, Austria, June 9-12, 2013
  73. O. J. Pinon, E. Garcia and D. N. Mavris, Evaluating Flexibility in Airport Capacity-Enhancing Technology Investments, 28th Congress of International Council of the Aeronautical Sciences (ICAS), Brisbane, Australia, September 23-28, 2012, Link to PDF
  74. D. N. Mavris and O. J. Pinon, Chapter 1: An Overview of Design Challenges and Methods in Aerospace Engineering, Invited Paper in Complex Systems Design & Management, Omar Hammami, Daniel Krob and Jean-Luc Voirin (Eds), Springer, January 2012, Link to PDF
  75. M. R. Ellis, C. L. Mize, S. Venkatram, O. J. Pinon, S. I. Briceno and D. N. Mavris, Development of a Public Registry for the Future Evaluation of NextGen Technology Transfer Benefits, 11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, Virginia Beach, Virginia, September 20-22, 2011, Link to PDF
  76. O.J. Pinon, D.N. Mavris and E. Garcia, A System Dynamics Approach to the Evaluation of Airport Technology Portfolios, 11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, Virginia Beach, Virginia, September 20-22, 2011, Link to PDF
  77. D.N. Mavris, O.J. Pinon and E. Garcia, Modélisation et Visualization pour l’Aide à la Décision, Invited Paper, Les Entretiens de Toulouse – Rencontres Aérospatiales, Toulouse, France, May 3-4, 2011
  78. D.N. Mavris, O.J. Pinon and D. Fullmer Jr, Systems Design and Modeling: A Visual Analytics Approach, Invited Paper, 27th Congress of International Council of the Aeronautical Sciences (ICAS), Nice, France, September 19-24, 2010, Link to PDF
  79. O.J. Pinon, D. N. Mavris and E. Garcia, Development of an Options-Based Approach to the Selection of Adaptable and Airport Capacity-Enhancing Technology Portfolios, 27th Congress of International Council of the Aeronautical Sciences (ICAS), Nice, France, September 19-24, 2010, Link to PDF
  80. M.R. Ellis, O.J. Pinon, S.I. Briceno, D.N. Mavris and Y. Gawdiak, Identification and Evaluation of Technology Transfer Benefits: Definition of a Registry in Support of the Strategic Development of NextGen Architectures, AIAA 2010-9248, 10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, Fort Worth, Texas, September 13-15, 2010, Link to PDF
  81. P. Burgain, O.J. Pinon, E. Feron, J-P Clarke and D.N. Mavris, On the Value of Information Within a Collaborative Decision Making Framework for Airport Departure Operations, Session Best Paper Award, 2009 IEEE/AIAA 28th Digital Avionics Systems Conference (DASC), Orlando, Florida, October 2009, Link to PDF
  82. O.J. Pinon, D.N. Mavris and E. Garcia, A Visual Analytics Approach to the Qualitative Comparison of the SESAR and NextGen Efforts, AIAA 2009-6902, 9th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, Hilton Head, South Carolina, September 2009, Link to PDF
  83. O.J. Pinon, K. Fry and J-P Clarke, The Air Transportation as a Supply Chain, AIAA-2009-6199, AIAA Guidance, Navigation, and Control (GNC) Conference, Chicago, Illinois, August 10-13, 2009, Link to PDF
  84. O.J. Pinon, D.N. Mavris and E. Garcia, A Methodological Approach for Airport Technology Evaluation and Selection, AIAA-2008-8965, 26th Congress of International Council of the Aeronautical Sciences (ICAS), Anchorage, Alaska, September 14-19, 2008, Link to PDF
  85. J.E. Reeb, J.W. Funck, C.C. Brunner, O.J. Pinon and M.C. Salichon. The Devil is in the Details, but a Picture is Worth a Thousand Words, Forest Products Society 59th International Convention, Quebec City, Quebec, Canada, June 19-22, 2005

Magazine Articles

  1. J. Faist, O.J. Pinon Fischer and M. Wheaton, How Digital Engineering Is Enabling Breakthrough Capabilities In Aerospace, Aviation Week, November 2023
  2. O. Pinon Fischer and W.J. Sung, AI, Data‑driven Models & Machine Learning ‑ What Next?, Benchmark ‑ The International Magazine for Engineering Designers & Analysts from NAFEMS, January 2021

Theses

  1. O. J. Pinon, A Methodology for the Valuation and Selection of Adaptable Technology Portfolios and its Application to Small and Medium Airports, Ph.D. Thesis, School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, March 2012
  2. O. J. Pinon, Characterization of the Dynamical Environment on the Surface of Asteroid 433 Eros Using a Polyhedron Shape Model, Individual Research Project, ISU Library, August 2006
  3. O. J. Pinon, Using Discrete-Event Simulation to Study the Influence of Log Yard Sorting on Sawmill Processing Efficiency of Small-Diameter Timber, Masters Thesis, Department of Wood Science & Engineering, Oregon State University, Corvallis, OR, May 2005

Ph.D. Committees Serving/Served on

  1. Xiao (Olin) Wei, Ph.D. thesis supervision, Title: A Surrogate Assisted Bayesian Reinforcement Learning Method for Calibration and Validation of Digital Twins, Ongoing
  2. Christian Coletti, Ph.D. thesis supervision, Title: Intelligent Goal-Oriented Model-Predictive Path Integral Control (IGO-MPPI): An Autonomy Framework for UAVs and Mobile Robotics in Complex Environments, Ongoing
  3. Sai‑Aksharah Sriraman, Ph.D. thesis supervision, Title: Mission Suggestion System for Military Campaign Commanders Using Reinforcement Learning, Ongoing
  4. Paul Wang, Ph.D. thesis supervision, Title: Domain Adaptable Digital Twins for Dynamic Environments, Ongoing
  5. Rahul Rameshbabu, Ph.D. thesis supervision, Title: Bayesian Inference Applied to the Condition Monitoring of Rotating Machinery, Ongoing
  6. Patsy Jammal ,Ph.D.thesis supervision, Title: Digital Twin‐Driven Condition Monitoring Approach for Aircraft Carbon Brakes, Graduated Fall 2024
  7. Michael Herman, Ph.D. thesis supervision, Title: Predictive Calibration for Digital Sun Sensors using Sparse Submanifold Convolutional Neural Network, Graduated Fall 2024
  8. Mengzhen Chen, Ph.D. thesis supervision, Title: Robust autonomous navigation framework for exploration in GPS‑absent and challenging environment, Graduated Spring 2024
  9. Nikhil Iyengar, Title: Uncertainty Propagation in High‑Dimensional Fields Using Reduced Order Modeling, Graduated Spring 2024
  10. Archana Tikayat Ray, Ph.D. thesis supervision, Title: Natural Language Processing for Requirement Engineering, Graduated Spring 2023
  11. Esma Karagoz, Ph.D. thesis supervision, Title: A Decision Advisor Framework for Model‑Based Systems Engineering, Graduated Fall 2022
  12. Aroua Gharbi, Ph.D. thesis supervision, Title: A Robust Methodology for Reuse Activities in SysML, Graduated Spring 2022
  13. Domitille Commun, Ph.D. thesis supervision, Title: An Approach for UAV‑enabled Surveillance Camera Calibration in Various Environments, Graduated Fall 2021
  14. Dushhyanth Rajaram, Ph.D. thesis supervision, Title: On Methodologies for Construction of Surrogates for Computationally Expensive High‑Dimensional Problems, Graduated Fall 2020
  15. Eugene Mangortey, Ph.D. thesis supervision, Title: Development of a Big Data framework for the Classification, Analysis and Prediction of the Daily Operations of Airports, Graduated Fall 2020
  16. Yanal Isaac, Ph.D. thesis supervision, Title: A Quaternion Approach to the Model Analysis and Reduced‑Order Modeling of Three‑Dimensional Fluid Systems, Graduated Summer 2020
  17. Ethan T. Minier, Ph.D. thesis supervision, Title: An Improved Methodology for Designing Environments Subject to Unpredictable and Evolving Conditions: A Manufacturing Application, Graduated May 2019
  18. Burak Bagdatli, Ph.D. thesis supervision, Title: Architecture‑based Selection of Modeling Type for System of Systems Analysis, Graduated Fall 2018
  19. Seth L. Libby, Ph.D. thesis supervision, Title: Framework for Product Architectural Analysis of Unmanned Systems and Technologies, Graduated Fall 2017
  20. Dennis J.L. Siedlak, Ph.D. thesis supervision, Title: Robust Scheduling Methodology to Reduce Risk in Aerospace Production Systems, Graduated Fall 2016
  21. Christopher P. Frank, Ph.D. thesis supervision, Title: A Design Space Exploration Methodology to Support Decisions Under Evolving Uncertainty in Requirements and Its Application to Advanced Vehicles, Graduated Fall 2016
  22. Tyler R. Milner, Ph.D. thesis supervision, Title: A Risk‑Informed Manufacturing‑Influenced Design Framework for Affordable Launch Vehicles, Graduated Spring 2016
  23. Alicia Sudol, Ph.D. thesis supervision, Title: A Methodology for Modeling the Verification, Validation, and Testing Process for Launch Vehicles, Graduated Fall 2015
  24. Ludovic F. Hivin, Ph.D. thesis supervision, Title: Sustainability of Multimodal Intercity Transportation using a Hybrid System Dynamics andAgent‑Based Modeling Approach, Graduated Fall 2014

M.Sc. Committees Serving/Served on

  1. Kwangmin (Brian) Cho, M.Sc. thesis supervision, Title: Improving LLM Performance in Aerospace NER Task: A Study on Data Augmentation and Fine-tuning Strategies, Ongoing
  2. Sean Mueller, M.Sc. thesis supervision, Title: A Holistic Modeling and Simulation Framework of Complex Product Development to Support Engineering Management, Ongoing
  3. Leslie Albertoli, M.Sc. thesis supervision, Title: Bayesian Inference Applied to the Condition Monitoring of Rotating Machinery, Graduated Fall 2024
  4. Ian Marks, M.Sc. thesis supervision, Title: Multi‑Agent Digital Twin‑Enabled Activity Management, Graduated Fall 2023
  5. Darrin Winecoff, M.Sc. thesis supervision, Title: A Systems Approach to Biomimetic Product Design, Graduated Summer 2022
  6. Agathe Boutaud, M.Sc. thesis supervision, Title: Sizing Long‑Term Space Habitats, Graduated Fall 2019
  7. Eugene Mangortey, M.Sc. thesis supervision, Title: Decision Support Tool for Predicting the Duration and Coincidence of Ground Delay Programs and Ground Stops using Machine Learning, Graduated Spring 2019
  8. Ghislain Dard, M.Sc. thesis supervision, Title: Application of Data Fusion in the Analysis of the Relevancy of Recommended Flight Reroutes, Graduated Spring 2019
  9. Domitille Commun, M.Sc. thesis supervision, Title: Investigation of Pedestrian Safety on Campus Intersections, Graduated Spring 2019
  10. Manon Huguenin, M.Sc. thesis supervision, Title: Development and Validation of 3D Cloud Fields Using Data Fusion and Machine Learning Techniques, Graduated Fall 2018
  11. Florence Duveiller, M.Sc. thesis supervision, Title: A Methodology to Support Relevant Earth‑Mars Communication Architecture Comparisons, Graduated Fall 2018

Professional Activities

  1. Associate Fellow, American Institute of Aeronautics and Astronautics (AIAA)
  2. Member, National Academy of Engineering, Consensus Study ‑ Digital Transformation for the Department of the Air Force, 2024 – Present
  3. Co-Chair, NATO STO AVT‑407‑053, 2024-present
  4. Chair, AIAA Transformative Engineering of Systems Task Force, 2024-present
  5. Chair, AIAA Digital Engineering Integration Committee (DEIC), 2024-present
  6. Guest Associate Editor, Journal of Aerospace Information Systems, Special Issue: Digital Engineering, 2024-present
  7. Secretary, AIAA Digital Engineering Integration Committee (DEIC), 2022-2024
  8. Co-chair, AIAA Digital Engineering Integration Committee (DEIC) Digital Twin Subcommittee, 2020-2023
  9. Member, AIAA Digital Engineering Integration Committee (DEIC), 2018-present
  10. Member, DEBOk Governance Board, 2023 - Present
  11. Board Member, Dayton Digital Transformation Summit, 2023 - Present
  12. Member, AIAA Transformative Engineering of Systems Task Force, 2022-present
  13. Member, NAFEMS’ Women in Simulation Engineering (WISE), 2023-present
  14. Member, NATO MSG‑ET‑053’s Exploratory Team on Allied Interoperability and Standardization Initiatives for Digital Twins, 2022
  15. Support to AIAA Liaison, OMG Digital Twin Consortium (DTC), 2021-present
  16. Member, Object Management Group (OMG) Digital Twin Consortium (DTC) Aerospace - Defense Working Group, 2021-present
  17. Invited member, NAFEMS Engineering Data Science Working Group (EDSWG), 2021-present
  18. Member, AIAA Integration Group (Integration and Outreach Division), 2022-present
  19. Technical Discipline Chair, AIAA Digital Engineering Integration Committee, 2021-present
  20. Member, AIAA Design Engineering (DE) Technical Committee, 2020-present
  21. Technical Discipline Chair, Design Engineering (DE) Technical Committee, 2020-2024
  22. Member, AIAA Design Engineering (DE) Award Committee, 2020-2024
  23. Member, AIAA Certification by Analysis Community of Interest (CQbA COI), 2019-2020
  24. Programme Committee Member, International Council of the Aeronautical Sciences (ICAS), 2019-present
  25. Member, AIAA Air Transportation Systems (ATS) Technical Committee, 2007-present