Computational Synthesis for Design and Manufacturing of Complex Systems
Synthesis is a vital part of the early design process where the technologies are chosen to fulfill system requirements, the architecture of a system is determined, and the overall design quality and the level of innovation is established. It defines how well companies and organizations answer demands for shorter design cycle times, diversified customer needs, and increased complexity in engineered systems. Yet, computational support for synthesis is a relatively new concept in engineering design. The concept of “automating design” has often been leveraged in later stages of the design process where a to-be-designed artifact accrues numerous parameters but lack specific dimensions. This presents an intriguing opportunity for researchers in my field to explore ways in which well-established computation and AI techniques can be pushed into the earlier phases of the design process.
Motivated by this opportunity, my research explores ways to make computational technologies more effective and accessible during the conceptual design stages by developing computational foundations to support engineering modeling, synthesis, analysis, and decision-making. In this talk, I will present highlights of two recent research efforts that are developed as part of the DARPA META and iFAB programs - both formulated to address design and manufacturing of complex engineering systems. Finally, based on my past and current work, I will discuss future research challenges and highlight their practical implications for enabling a true computational synthesis capability for engineering design.
Tolga Kurtoglu is a R&D Manager at Palo Alto Research Center (PARC) leading the Automation for the Engineered Systems Group. His research focuses on design and development of complex systems, applied intelligence for engineering systems, design theory and methodology with a specialization in design creation and innovation, and design automation and optimization. His research spans the areas of model-based systems engineering, automated reasoning, prognostics and health management, and risk and reliability-based design. Currently, he is the project lead and PI for three DARPA contracts: META, iFAB, and System F-6. Dr. Kurtoglu has published over 50 articles and papers in various journals and conferences and is an active member of ASME, AIAA, AAAI, ASEE, Design Society, and the Prognostics and Health Management Society. Prior to his work with PARC, he worked as a researcher at NASA Ames Research Center and as a design engineer and group lead at Dell Corporation.
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