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SUMMARY:Computational and Data-driven Design for Manufacturing
DTSTART:20200211T090000
DTEND:20200211T100000
DTSTAMP:20260406T162913Z
UID:e9919a5682d94597d401e9a419877f178cf9062a10b254a768f7acc6
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Bernd Bickel\, Computer Graphics and Digital Fabrication
  Group\, Institute of Science and Technology Austria (IST Austria)\nAbstra
 ct: Advanced fabrication techniques have grown in sophistication over the 
 last decade\, vastly extending the scope of structures and materials that 
 can be fabricated. While new opportunities have emerged for the manufactur
 ing of customized shapes\, architected materials with novel functionalitie
 s\, and active composites that can sense and respond to their environment\
 , their potential impact is limited by the lack of efficient computational
  approaches for design.\nIn this talk\, I will describe recent progress in
  engineering design toward novel concepts for modeling\, designing\, and r
 eproducing objects with nontrivial shapes\, topologies\, and functionaliti
 es. I will first highlight how data-driven techniques can enable interacti
 ve design\, showing a method for learning and instantly predicting how flu
 id flows around three-dimensional objects. Leveraging optimization-based d
 esign\, tailored computational methods\, and data-driven models of the mat
 erials’ responses\, I will then introduce novel approaches for discoveri
 ng and designing architected materials and demonstrate their applicability
  for encoding temporal shape evolution in architected shells that assume c
 omplex shapes and doubly curved geometries.\nFinally\, I will reflect on t
 he successes and challenges of data-driven design and discuss opportunitie
 s for further work in this area.\n\nBio: Bernd Bickel is an assistant prof
 essor\, heading the Computer Graphics and Digital Fabrication Group at the
  Institute of Science and Technology Austria (IST Austria). He is a comput
 er scientist interested in computational fabrication\, visual computing\, 
 and their application in robotics\, materials science\, and computational 
 design. His main objective is to develop new techniques for efficient desi
 gn\, simulation\, and physical reproduction of digital content. Bernd grad
 uated with a PhD in computer science from ETH Zurich in 2010. From 2011 to
  2012\, Bernd was a visiting professor at the Technical University of Berl
 in\, and in 2012\, he became a research scientist and research group leade
 r at Disney Research. In early 2015\, Bernd joined IST Austria. He receive
 d the ETH Medal for Outstanding Doctoral Thesis in 2011\, the Eurographics
  Best PhD Award in 2012\, the Microsoft Visual Computing Award in 2015\, a
 n ERC Starting Grant in 2016\, the ACM SIGGRAPH Significant New Researcher
  Award in 2017\, and a technical achievement award from the Academy of Mot
 ion Picture Arts and Sciences in 2019.
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202
STATUS:CONFIRMED
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