E-grāmata: Proceedings of the 2024 Conference on Systems Engineering Research

Part I. MBSE/DE.
Chapter
1. Towards deriving a digital ontology for
systems engineering and acquisition groups.
Chapter
2. Digital requirements
engineering with an INCOSE-derived SysML meta-model.
Chapter
3. Towards
Formalizing a Systems of Systems Core Ontology for Capability Configuration,
a SysML Approach.
Chapter
4. SysML v2 for automated Co-Simulation from
Systems Architecture Models.- Part II. Problem domain.
Chapter
5. Exploring
Dynamic Preferences in Systems Engineering.
Chapter
6. Developing a
KPI-driven framework to systematically align companies with the EU Taxonomy.-
Chapter
7. Enhancing Industrial Energy Management: Improving Efficiency and
Stakeholder Satisfaction.- Part III. V&V.
Chapter
8. Graph Complexity
Measures as Indicators of Verification Complexity.
Chapter
9. An Ontological
Foundation for the Verification and Validation of Complex Systems in the Age
of Artificial Intelligence.
Chapter
10. Developing a Theoretical Basis for
Validation in Systems Engineering.
Chapter
11. Towards a Rigorous Metric for
Measuring Inconsistencies in Stakeholder Preferences in Systems Engineering.-
Part IV. Autonomy and networks.
Chapter
12. Self-Organizing Evolutionary
Complexity: Implications for Systems Engineering.
Chapter
13. Simulating the
Emergent Social Networks of Army Units.
Chapter
14. Predictive and
Prescriptive Analyses of Autonomy Integration into the System of Systems.-
Chapter
15. A New Multi-Agent System Consensus Algorithm Inspired by
 Synchronous Turtle Hatching Behavior.- Part V. Education.
Chapter
16.
Lessons Learned from Teaching Systems Practices in an Art Studio Format.-
Chapter
17. Developing an Academic Case Study to Advance Digital
Engineering.
Chapter
18. A Digital Engineering Factory for Students.-
Chapter
19. Is your Systems Engineering Knowledge and Practice Ready for the
New Types of Systems Emerging Today?.- Part VI. SoS.
Chapter
20. System of
Systems (SoS) Approach for Improving Quality of Kidney Transplant
Decision-Making Support for  Transplant Surgeons.
Chapter
21. Social Systems
of Systems Thinking to Improve Decision-Making Processes Towards the
Sustainable Transition.
Chapter
22. Sustainable Systems:  Measuring Carbon
Emissions of Navy Ships.- Part VII. AI4SE.
Chapter
23. Can Large Language
Models Accelerate Digital Transformation by Generating Expert-Like Systems
Engineering Artifacts? Insights from an Empirical Exploration.
Chapter
24.
How Digital Twins could support systems engineering processes? Insights from
literature review.
Chapter
25. AI-enabled policy content modeling - a
systems approach.
Chapter
26. Identification of Variables Impacting
Cascading Failures in Aerospace Systems: A Natural Language Processing
Approach.
Chapter
27. Integrating Edge Computing and Machine Learning for
Thermal Anomaly Detection: A Space Systems Engineering Architecture.- Part
VIII. Architecture & Biomimicry.
Chapter
28. Dynamic Reconfiguration of
Software Systems Using Smart Contracts.
Chapter
29. On Families of Systems
Architecture.
Chapter
30. A New Biological Inspired Resource Allocation
Algorithm for Distributed Multi Agent Systems with Limited Knowledge.-
Chapter
31. From Plant-Pollinator to Product-Customer: Bio-Inspired Network
Modularity Analysis in Design for Market Systems.
Chapter
32. Satellite
Network Architecture Performance: Setting the Stage for Bio-Inspired Network
Design.- Part IX. AI in SE.
Chapter
33. Enabling Understanding of AI Model
Behavior Through Visualization.
Chapter
34. Addressing Safety in AI-Based
Systems: Insights from Systems Engineering.
Chapter
35. Towards Transparent
Operations and Sustainment: A Conceptual Framework for Causal Interpretable
Machine Learning Models for System Health Prognostics and Maintenance.- Part
X. Applications.
Chapter
36. Analyzing Heat Related Injuries at Fort Moore.-
Chapter
37. Toward Improving User Experience and the Adoption of mHealth Apps
for Mental Health: An Exploratory Study.
Chapter
38. Factory in Space
Considerations and Feasibility for Low Earth Orbit.
Chapter
39. Safeguarding
end-to-end service continuity when connecting safety-critical systems to the
cloud.

Alejandro Salado is an Associate Professor of systems engineering with the Department of Systems and Industrial Engineering at the University of Arizona and the Director of its Systems Engineering program. In addition, he provides part-time consulting in areas related to enterprise transformation, cultural change of technical teams, systems engineering, and engineering strategy. Alejandro conducts research in problem formulation, design of verification and validation strategies, model-based systems engineering, and engineering education. Before joining academia, he held positions as systems engineer, chief architect, and chief systems engineer in manned and unmanned space systems of up to $1B in development cost. He has published over 150 technical papers, and his research has received federal funding from the National Science Foundation (NSF), the Naval Surface Warfare Command (NSWC), the Naval Air System Command (NAVAIR), and the Office of Naval Research (ONR), among others. He is a recipient of the NSF CAREER Award, the International Fulbright Science and Technology Award, and several best paper awards. Dr. Salado holds a BS/MS in electrical and computer engineering from the Polytechnic University of Valencia, a MS in project management and a MS in electronics engineering from the Polytechnic University of Catalonia, the SpaceTech MEng in space systems engineering from the Technical University of Delft, and a PhD in systems engineering from the Stevens Institute of Technology. He is an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA).





Ricardo Valerdi is a Professor and Head of the Department of Systems & Industrial Engineering at the University of Arizona.  Previously he was a Research Associate in the Engineering Systems Division at the Massachusetts Institute of Technology.  His research focuses on systems engineering metrics, cost estimation, test & evaluation, enterprise transformation, and performance measurement.  His research has been funded by Army, Navy, Air Force, BAE Systems, Lockheed Martin, Raytheon, the IBM Center for the Business of Government, the Arizona Diamondbacks, and the National Collegiate Athletic Association. He was the Founder and co-Editor-in-Chief of the Journal of Enterprise Transformation and Editor-in-Chief of the Journal of Cost Analysis and Parametrics.  He served on the Board of Directors and is a Fellow of the International Council on Systems Engineering (INCOSE) as well as a member of the National Academy of Engineering of Mexico. He received a Ph.D. in Industrial & Systems Engineering from the University of Southern California.





Rick Steiner is an independent Model Based Systems Engineering (MBSE) consultant and systems modeling coach, with clients in various Aerospace and Defense companies, and an adjunct professor at the University of Arizona.  He retired after a 30-year career at Raytheon as an Engineering Fellow and a Raytheon Certified Architect. He has focused on pragmatic application of systems engineering modeling techniques and has been an advocate, consultant, and instructor of model-based engineering. Rick has served as chief engineer, architect, and lead system modeler for several large-scale defense programs.  He has been recognized by the International Council on Systems Engineering (INCOSE) as an Expert Systems Engineering Professional (ESEP) and has been honored as an INCOSE Fellow. Mr. Steiner continues to be a key contributor to the development of SysMLv2 and contributes to the system modeling professional certification process. He is also co-author of A Practical Guide to SysML, currently in its 3rd edition.  Rick is an avid amateur astronomer, auto restorer, bass guitarist, Church volunteer, and recumbent bicyclist. 





Larry Head received his Ph.D. degree in Systems Engineering from the University of Arizona in 1989. He has over 30 years of research and development experience in adaptive traffic signal control, signal priority, traffic management, and connected and autonomous vehicle systems. From January 2020-July 2020 Dr. Head served as the Interim Vice Provost for Online Learning at the University of Arizona. From March 2018 to July 2019 Dr. Head served as the Interim Dean of the College of Engineering at the University of Arizona. From 2016 2018 Dr. Head served as the founding Director of the Transportation Research Institute. From 2006-2013 Dr. Head served as the Department Head of the Systems and Industrial Engineering Department at the University of Arizona. From 1997 to 2003 he was the Senior Vice President for Research and Development for Siemens ITS where they developed and deployed advanced traffic management systems in over 40 cities in the US. In 2007, Dr. Head partnered with Raytheon, iRobot, Tucson Embedded Systems (TES), and Preferred Chassis to compete in the DARPA Grand (Urban) Challenge. In 2010, in cooperation with Maricopa County Department of Transportation (MCDOT), they established the MCDOT SMARTDrive National Connected Vehicle Test bed in Anthem, Az. The test bed has been a cornerstone for research in Connected Vehicle systems including the Multi Modal Intelligent Traffic Signal System (MMITSS). Dr. Head served as chair of the National Academies Transportation Research Boards Traffic Signal Systems Committee (AHB25) from 2006-2012 and is currently a member of the TRB Intelligent Transportation Systems Committee and Traffic Signal Systems Committee. He was co-Chair of the National Transportation Communication for ITS Protocol (NTCIP) Signal Control and Prioritization Working Group (1211) from 2014-present and a member of the Society of Automotive Engineers (SAE) Dedicated Short Range Communication Technical Committee from 2014 2018, and now a member of the SAE C-V2X Technical Committee.