Join us for our 20 February 2024 Chapter meeting featuring:
Main Presentation: "Architecting a Purpose-Driven Roadmap for Impactful Digital Transformation", by Dr. Carla Sayan
Abstract:
The Aerospace and Defense Industry is currently undergoing a paradigm shift recognized as digital transformation or digital engineering. Despite its prevalence and being introduced with considerable interest, the precise objectives of this paradigm shift remain elusive from other branches of engineering, fostering diverse interpretations within the industry’s landscape. The paper begins by addressing the fundamental question: what exactly are digital transformation and digital engineering? We then explore whether this concept encompasses the widespread adoption of model-based systems engineering (MBSE), Model-Based Design (MBD) and others. Our inquiry extends to examining how these MB-X methodologies reshape traditional engineering practices, and whether digital engineering transcends beyond the realms of MBSE and MBD to include broader technological, procedural and organizational changes. We will explore whether digital is simply a progressive refinement of longstanding practices on what the hardware (electrical and mechanical) discipline has already proven for decades; that prioritizing modeling and simulation before producing HW can yield an improvement in the development life cycle. This paper aims to define a purpose for digital engineering and outline a roadmap forward for the evolution of digital engineering as a core practice.
Bio:
Carla Sayan Ph.D. is an Associate Director for Systems Engineering at a Government Contractor. She is an inventor, author and has 18+ years of extensive knowledge and industry experience in various domain areas: Sensors and Effectors, Multi-Function RF Systems, Counter Unmanned Aircraft Systems, Systems of Systems Architectures and Embedded Systems Integrity. She is responsible for Company Wide Transformations implementing Digital, Model Based X initiatives and Agile across Franchise Level Programs. Carla holds a Ph.D. in Electrical and Computer Engineering from the University of Arizona and is a member of INCOSE, IEEE and SHPE.
Upcoming INCOSE Events
Central Virginia Chapter Dinner and Presentation - August 18, 2021
Fredericksburg
1 Towne Centre Boulevard
Park Lane Tavern Spotsylvania Towne Centre, 1 Towne Centre Boulevard, Fredericksburg, VA
CVA INCOSE cordially invites you to attend a dinner and presentation by:
Anthony Sirico, LT, Enterprise System Engineer, National Reconnaissance Office
Topic: Machine Learning Techniques for Systems Engineering
I propose a novel way of classifying graph-based architectures using two machine learning techniques: Deep Graph Convolutional Neural Networks (DGCNN) and Graph Convolutional Networks (GCN) with EigenPooling. These unique algorithms can help improve the system engineering process by streamlining the computational processes required for architecture selection. Graph classification using graph neural networks has attracted increasing attention, and this study shows how it can be used within systems engineering and design. Neural networks typically deal with input and output data in tensor form, but recently, there have been significant breakthroughs using graphs, and since graph theory is being seen more and more not only in systems engineering but engineering as a whole, these techniques show a promising breakthrough. Some applications this can be applied to include, but are not limited to, electrical circuits to aircraft thermal management systems, aircraft bleed air systems, cyber networks, and any system that can be represented by a graph.