Data Science for Product Design & Operations: Going Beyond Buzzwords
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Every day that passes, we learn about successful applications of machine learning and ways it can be applied in our daily lives. Every industry is working towards leveraging new techniques and tools to solve every day problems and continuously learn from them. Design and engineering are no different.
Even though machine learning is not a new concept, applications of machine learning for design and manufacturing are relatively new due to recent developments in overcoming challenges with working with 3D shapes, emulating experts, augmenting data using simulations. In this presentation, I will discuss state-of-the art use of machine learning for product design and manufacturing as well as show some recent applications.
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Fatma Koçer-Poyraz has received a B.Sc. degree in Civil Engineering from the Middle East Technical University, Ankara, Turkey and MSc and PhD degrees from the University of Iowa in Structural Optimization. After graduation, she joined Visteon to develop processes for design optimization of structural and electromagnetic parts. In 2006, she started in Altair as Product Line Manager for Altair HyperWorks design exploration and optimization products. Currently she works as the Vice President for Engineering Data Science. In this role, she and her team works on engineering data science strategy, development and execution which includes investigating and applying latest technologies in the field, providing feedback to Altair software and supporting customer projects. Fatma Kocer-Poyraz is one of the recipients of Crain’s 2019 Notable Women in STEM recognition.
Data Science for Product Design & Operations: Going Beyond Buzzwords