Dr. Azad Madni is a member of the National Academy of Engineering and the Dean's professor of Astronautical Engineering and Civil and Environmental Engineering in University of Southern California's Viterbi School of Engineering. He is the Executive Director of USC's Systems Architecting and Engineering Program and the founding director of the Distributed Autonomy and Intelligent Systems Laboratory. He is the founder and CEO of Intelligent Systems Technology, Inc., a hi-tech company that conducts research and offers educational courses in intelligent systems for education and training. He is the Principal Systems Engineering Advisor to The Aerospace Corporation. He received his Ph.D., M.S., and B.S. degrees in Engineering from UCLA. His recent awards include 2021 INCOSE Benefactor Award, 2021 IEEE AESS Judith A. Resnik Space Award, 2020 IEEE SMC Norbert Wiener Award, 2020NDIA's Ferguson Award for Excellence in Systems Engineering, 2020 IEEE-USA Entrepreneur Achievement Award, 2019 IEEE AESS Pioneer Award, 2019 INCOSE Founders Award, 2019 AIAA/ASEE LelandAtwood Award, 2019 ASME CIE Leadership Award,2019 Society for Modeling and Simulation International Presidential Award, and 2011 INCOSE Pioneer Award.He is a Life Fellow/Fellow of IEEE, INCOSE, AIAA, AAAS, SDPS, IETE, and WAS. He is the co-founder and current chair of IEEE SMC Technical Committee on Model Based Systems Engineering.He is the author of Transdisciplinary Systems Engineering: Exploiting Convergence in a Hyper-Connected World(Springer 2018). He is the co-author of Tradeoff Decisionsin System Design(Springer, 2016).
Dr. Barry Boehm is a member of the National Academy of Engineering and distinguished professor of Computer Science I the Viterbi School of Engineering of University of Southern California. His honors and awards include INCOSE Pioneer, Guest Lecturer of the USSR Academy of Sciences, the AIAA Information Systems Award, the J.D. Warnier Prize for Excellence in Information Sciences, the ISPA Freiman Award for Parametric Analysis, the NSIA Grace Murray Hopper Award, the Office of the Secretary of Defense Award for Excellence, the ASQC Lifetime Achievement Award, and the ACM Distinguished Research Award in Software Engineering . He is an AIAA Fellow, an ACM Fellow, an IEEE Fellow. He received his B.A. degree from Harvard University, and his M.S. and Ph.D. degrees from UCLA, all in Mathematics.
This volume comprises papers from the 18th Conference on Systems Engineering Research (CSER). The theme of this volume, "Recent Trends and Advances in Model-Based Systems Engineering," reflects the fact that systems engineering is undergoing a transformation motivated by mission and system complexity and enabled by technological advances such as model-based systems engineering, digital engineering, and the convergence of systems engineering with other disciplines. This conference is focused on exploring recent trends and advances in model-based systems engineering (MBSE) and the synergy of MBSE with simulation technology and digital engineering. Contributors have submitted papers on MBSE methods, modeling approaches, integration of digital engineering with MBSE, standards, modeling languages, ontologies and metamodels, and economics analysis of MBSE to respond to the challenges posed by 21st century systems. What distinguishes this volume are the latest advances in MBSE research, the convergence of MBSE with digital engineering, and recent advances in applied research in MBSE, including growing convergence with systems science and decision science. This volume is appropriate as a reference text in graduate engineering courses in Model-Based Systems Engineering.
Towards a Reference Architecture for Digital and Model-based Engineering Information Systems.- Digital Engineering Ecosystem for Future Nuclear Power Plants: Innovation of Ontologies, Tools, and Data Exchange.- Introducing digital doppelgängers for health care policy analysis.- Employing Digital Twins within MBSE: Preliminary Results and Findings.- A Review of Set-Based Design Research Opportunities.- Digital Modernization for Systems Engineering.- Investigating Model Credibility within a Model Curation Context.- Automated Detection of Architecture Patterns in MBSE Models.- A survey of super-resolution techniques for a potential CubeSat imagery system architecture.- Data analytics of a honeypot system based on a Markov decision process model.- Probabilistic System Modeling for Complex Systems Operating in Uncertain Environments.- Identification of Adverse Operational Conditions in Sociotechnical Systems: A Data Analytics Approach.- Dynamic Causal Hidden Markov Model Risk Assessment.- Minimum Viable Model to Demonstrate Value Proposition of Ontologies for Model Based Systems Engineering.- Ontological Modeling of Time and Time-Based Reasoning for Systems of Systems.- Ontology-Enabled Hardware-Software Testbed for Engineering Adaptive Systems.- An Ontology for System Reconfiguration: Integrated Modular Avionics IMA Case Study.- Reducing Design Rework using Set-based Design in a Model Centric Environment .- Knowledge Representation and Reasoning in the Context of Systems Engineering.- Ontology-driven Knowledge Modeling and Reasoning for Multi-domain System Architecting and Configuration.- A Literature Review of the Integration of Test Activities into the Product Development Process.- Implementing a MOSA Decision Support Tool in a Model-Based Environment.- Change Management Processes in MBSE.- The Need for Semantic Extension of SysML to Model the Problem Space.- Variant modeling for multi-perspective, multi-fidelity systems simulation.- An Executable Systems Modeling Language (ESysML): Motivations & Overview of Language Structure.- Quantitative System Reliability and Availability Analysis Using SysML.- Towards Making the Business Case for MBSE.- COSYSMO 3.0's Improvements in Estimating and Methodology.- Assurance case property checking with MMINT-A and OCL.- Interpretation Discrepancies of SysML State Machine: An Initial Investigation.- Fuzzy Multicriteria Optimization for System Engineer's Design of Myoelectric Prostheses.- Functional Decomposition: Evaluating Systems Engineering Techniques.- Collaborative Management of Research Projects in SysML.
