The Proceedings of the 2024 Conference on Systems Engineering Research

The 22nd International Conference on Systems Engineering Research (CSER 2024) pushes the boundaries of systems engineering research and responds to new challenges for systems engineering.

CSER was founded in 2003 by Stevens Institute of Technology and the University of Southern California. In 2024 the conference was hosted by the University of Arizona, home to the first-ever established Department of Systems Engineering.

The following foundational research topics are included:

• Scientific Foundations of Systems Engineering
• Digital Engineering, Digital Twins
• Digital Transformation
• Advances in Model-Based Systems Engineering (MBSE)
• Value-based and Agile Systems Engineering
• Artificial Intelligence for Systems and Software Engineering (AI4SE)
• Systems and Software Engineering for Artificial Intelligence (SE4AI)
• Cybersecurity and System Security Engineering
• Uncertainty and Complexity Management
• Trust and Autonomous Systems
• Human-Systems Integration
• Systems of Systems
• Social Systems Engineering
• Systems Thinking
• Advances in requirements engineering, systems architecture, systems integration, and verification and validation.

The 21st Annual Conference on Systems Engineering Research (CSER 2024) was poised to push the boundaries of systems engineering, embracing a wide array of themes from its scientific underpinnings to the forefront of digital engineering transformation and the seamless integration of artificial intelligence within systems and software engineering. Delving into cutting-edge topics such as Model-Based Systems Engineering (MBSE), cybersecurity, and the management of uncertainty and complexity, CSER 2024 tackled the varied challenges and seize the opportunities emerging in the field. The conference's commitment to blending theoretical insights with practical innovations makes it a pivotal event for the systems engineering community.

Auteur

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

Contenu

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…