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Data-Driven Design Analysis and Synthesis for Industrial Product Design

Levent Burak Kara, Professor of mechanical engineering at Carnegie Mellon U
Friday, April 10, 2020, 10:00 am



Today’s design environments are equipped with powerful computational technologies more than ever before. However, as design software becomes increasingly more sophisticated, it also becomes more difficult to master, requiring an increased demand for human specialization and expertise. In the Visual Design and Engineering Lab at Carnegie Mellon, we are developing technologies that can leverage past designs as a way to assist today’s complex mechanical design workflows. Our fundamental strategy is to enable a level of design abstraction complemented with data, to appropriately support early ideation, conceptualization, reverse engineering, design optimization and physical fabrication. 
In this talk, I will highlight our research in this area with an emphasis on how machine learning can aid in many of the conventionally tedious and expensive design steps. Examples will include robust sampling to reduce the cost in combinatorial design optimization scenarios, using past designs and concurrent shape analysis to extract domain specific design rules, crowdsourcing to learn semantic maps between human preferred design language and 3D computer models, and deep learned physics to replace expensive structural simulations. I will highlight the use of such approaches for both design analysis as well as generative design synthesis. 


Levent Burak Kara is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University, with a courtesy appointment in the Robotics Institute. He is the founder of Visual Design and Engineering Laboratory. His research interests include computer-aided design, computer graphics, natural user interfaces and machine learning, with applications in industrial product design, automotive design, engineering education and bio-medical engineering. He is the recipient of National Science Foundation CAREER award and American Society of Mechanical Engineers Design Automation Society Young Investigator Award. At CMU, he teaches courses in AI and Machine learning, Engineering Design, and Linear Algebra and Vector Calculus. He has a BS in Mechanical Engineering from the Middle East Technical University, and an MS and PhD in Mechanical Engineering from Carnegie Mellon University. 

Host: J Shah