INCOSE Enchantment: Artificial Intelligence for Model-Based Systems Engineering - AIM
INCOSE Enchantment: Artificial Intelligence for Model-Based Systems Engineering - AIM
Date: August 13th, 2025
Time: 4:45 PM - 6:00 PM Mountain Time
Venue: Online via ZOOM
Registration: Zoom link is provided in the meeting invitation; contact [email protected] to request the meeting invitation
Abstract: In the rapidly evolving landscape of systems engineering, the integration of Artificial Intelligence (AI) with Model-Based Systems Engineering (MBSE) offers unprecedented opportunities for enhancing system design, analysis, and validation. This presentation explores the innovative use of MagicDraw CAMEO as a robust MBSE platform, showcasing its capabilities in facilitating complex system modeling through the application of SysML (Systems Modeling Language). We will introduce an embedded AI Graphical User Interface (GUI) designed to interpret user prompts and generate insightful outputs in SysML. This AI GUI serves as a transformative tool, enabling systems engineers to leverage AI-driven insights for improved decision-making and system optimization. By automating routine tasks and providing intelligent recommendations, the AI GUI enhances the efficiency and effectiveness of the modeling process.
Key topics will include:
• An overview of Model-Based Systems Engineering and its significance in modern engineering practices.
• The role of MagicDraw CAMEO as a leading MBSE platform and its integration with AI technologies.
• Demonstrations of the AI GUI's capabilities in interpreting SysML outputs and facilitating user interactions.
• Case studies highlighting the practical applications and benefits of AI in MBSE workflows.
Speakers:
Nick Noonan has worked at Sandia National Labs for the past 14 years after separating from the United States Air Force. At SNL, Nick has gained experience in Embedded Security, Physical Security (Project Management/Systems Engineering), Requirements Engineering, Team Lead (Weapon Modernization), and Tester Surety at KCNSC. Over the years at SNL, Nick pursued an additional graduate degree in Systems Engineering from John’s Hopkins. Although Nick did not complete the full graduate program, he’s leveraged his systems knowledge in every position he’s held.
John Materum is relatively new at Sandia Laboratories, where he initially joined as an intern and has recently transitioned to a full-time role within the Model Based Systems Engineering (MBSE) team. During his tenure at Sandia, John has gained valuable insights into Systems Engineering, MBSE methodologies, SysML, and the Unified Architecture Framework (UAF). A graduate of the University of New Mexico with a bachelor’s degree in computer science, John leverages his technical expertise to explore innovative approaches for integrating artificial intelligence into MBSE practices.