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Panel Discussion / Workshop: Dr. John N. Carbone & Dr. James A. Crowder

 

 

System Engineering activities are an integral part of a program’s life-cycle. They complement the program management and the design activities by placing greater emphasis on iterative development, trade studies, uncertainties, and technical risk management in order to optimize program success, to include providing and analyzing Technical Performance measures to ensure performance within cost and schedule constraints. As we move from classical systems engineering to more viable modern System of Systems Engineering (including agile Systems Engineering) approaches, the rapidly converging global environment is driving us to comprehend and employ increasing numbers of disciplines in the overall architectural design process, providing a convergence of classical Systems Engineering with a host of inter-related disciplines required to handle future designs. Systems Engineering is, by its nature, a multidisciplinary science, endeavoring to look at the “big picture,” defining what a system must do; encompassing all aspects, including functionality, performance, reliability, etc. The Multidisciplinary Disciplinary Systems Engineering (MDSE ) approach is one where methods from multiple disciplines are examined to determine topic benefits within any one discipline. For instance, the development of Computer Science discipline over the last three decades, has created an inherent revolutionary way of thinking and approaching problems due to the vast application of computational needs across every scientific domain. True research cannot be accomplished today without Computational thinking; Systems Engineering being responsible for handling the overarching delivery of any project or program is sorely lacking this expertise. Future systems, and therefore MDSE will require machine learning, reasoning, and autonomous decision making capabilities. Each of these disciplines brings necessary perspectives to the overall Systems Engineering requirements derivation and architectural designs. A Multidisciplinary approach to Systems Engineering will be presented, with applications and experiences in Systems Engineering successes and failures that emphasize the need for an MDSE approach. This workshop/Panel will help promote the multi- and trans- disciplinary approach to engineering and help foster a new way of thinking across the Systems Engineering community. Dr. Crowder and Dr. Carbone, in conjunction with Russ Demijohn have just published their text book on “Multidisciplinary Systems Engineering: Architecting the Design Process” and will be sharing insights from the book and from their personal experiences through a combined 80 years in the industry. The book is currently being integrated into University curriculum at the Senior and Graduate level. Potential workshop/panel participants include any engineering discipline, as well as, Systems, Software, Hardware, and Test Engineers who deal with large System of Systems projects, Managers looking to gain insight into where Systems Engineering is headed, and Universities looking towards Systems Engineering curriculum.

Biography

Dr. John N. Carbone has served Raytheon Company and the defense industry for ~28 years.  He currently serves as a Chief Science Advisor and Raytheon Engineering Fellow within the Intelligence, Information and Services (IIS) Division after previously serving as Product Area Technology Director and Chief Engineer for Innovation. Dr. Carbone has also served in various Chief Engineer, System, Software Architect Roles and more recently as Chief Data Architect/Scientist for major Cloud programs.

Dr. Carbone received his undergraduate Bachelor of Science degree in Computer Science from Baylor University, Masters of Engineering from Texas Tech University, Masters Equivalent in Software and Systems Engineering from University of Texas at Austin, and his PhD in Mechanical Engineering at Texas Tech University with focus on enhancing information theory research by combining cognition based frameworks and processes using various adaptations of multi-dimensional space-time relationship mechanics.

Dr. Carbone began his career developing real-time embedded voice, cyber, and data communications software solutions for satellite tracking and switching systems. Subsequently, Dr. Carbone has been forging bridges between High Performance Computing and Big Data architectures within distributed enterprise software engineering for ~15 years. During this tenure, Dr. Carbone was instrumental in providing architecture, design, implementation, and fielding of software systems which have lead to the development of a number of strategic ISR programs considered paradigm shifts for the Department of Defense and Intelligence Community.

Dr. Carbone has submitted and received national and international software patents, and continuously publishes and edits scientific content for books, journals, conferences and symposia. Topics include dynamic discovery, dynamically provisionable workflow of multiple disparate static and streaming data sources, geospatial intelligence enterprise systems, Big Data and Analytics, Cyber Security, disruption tolerant networking technology, and cognitive computing based frameworks for enhancing decision making of self-learning autonomous systems. Recent book publishing efforts for Elsevier include Mining Big Data to Improve National Security. Recent Springer Scientific published books include topics on Multi-Disciplinary Systems Engineering, Artificial Cognition Architectures, Applied Cyber Physical Systems and Artificial Psychology in late 2015.

Lastly, Dr. Carbone’s academic and professional society efforts include Baylor University, Texas Tech University and Texas A&M Commerce Computer Science and Cyber Security Boards and University of Texas at Dallas School of Management, Board Member for the Journal of Integrated Design and Process Science (JIDPS), Education Director and member of the Society of Design and Process Science (SDPS) ~19 years, Association for Computing Machinery (ACM) and recently VP for development of the Software Engineering Society (SES). His responsibilities include developing lasting relationships between academia and industry and jointly developing transformational K-20 curriculum for education including how to teach computational thinking and Science, Technology, Engineering, and Math (STEM).

Dr. James A. Crowder is a Chief Engineer with Raytheon’s Intelligence, Information, and Services (IIS) Business Unit, at the Aurora, Colorado facility. With patents pending for his Artificial Cognitive Neural Framework, and the Artificial, Continuously Recombinant Neural Fiber Network, Dr. Crowder has spent the last 30 years working in artificial intelligence, genetic algorithms, and fuzzy systems across a variety of aerospace companies. He serves as technical advisor and mentor to a STEM school in Douglas Country, Colorado, the Alexandria School of Innovation. With over 90 publications and 2 book chapters, and 3 books, including “Artificial Cognition Architectures,” Springer, 2013, “Systems Engineering, Agile Design Methodologies,” Springer, 2013, he continues to push the envelope in artificial intelligence and autonomous cognitive systems. His current work involves the theory of Artificial Neurogenesis.



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