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SUMMARY:Data-Driven Engineering Design: Intelligent data-driven design for
  digital manufacturing
DTSTART:20190213T151500
DTEND:20190213T161500
DTSTAMP:20260406T185154Z
UID:8c2d7ad9f6fbc36c762e90dd21075d69161837d4e3b0e9845cf30ae4
CATEGORIES:Conferences - Seminars
DESCRIPTION:Bernhard Thomaszewski\, Department of Computer Science and Ope
 rations Research\, Université de Montréal\, Canada\nThe design complexit
 y and flexibility enabled by Digital Manufacturing is disrupting establish
 ed production processes. However\, as manufacturing technology keeps evolv
 ing\, the gap between "what we can produce" and "what we can design" is gr
 owing steadily. In this talk\, I will describe an architecture for intelli
 gent design software that leverages data and computation to augment human 
 design capabilities. This approach relies on three key components:\n\n	Tai
 lored computational models that manage complexity by exploiting problem-sp
 ecific physical and geometric insights\,\n	Data-driven abstractions that c
 ondense simulation results in reduced-dimensional representations for fast
 \, optimization-driven design\, and\n	Intelligent design interfaces that e
 nable users to interact with simulation and optimization data in order to 
 explore complex design spaces in intuitive and efficient ways.\n\nI will i
 llustrate these building blocks on a set of challenging inverse design pro
 blems ranging from mechanical metamaterials to 3D-printed textiles and sel
 f-deploying surfaces.\n\nBio of speaker: Bernhard Thomaszewski is an Assi
 stant Professor in the Department of Computer Science and Operations Resea
 rch at the University of Montreal. Bernhard received his MSc (2005) and Ph
 .D. (2010) from the University of Tuebingen. He was a post-doctoral resear
 cher at ETH Zurich\, where he also held an adjunct lecturer position until
  2016. Before joining the University of Montreal\, Bernhard was a Research
  Scientist at Disney Research Zurich\, where he was heading the group on C
 omputational Design and Digital Fabrication.  Bernhard's research lies at
  the intersection of visual computing\, computational mechanics\, material
  science\, and digital manufacturing. His work aims to leverage data and c
 omputation to create powerful design software for complex mechanical syste
 ms including compliant mechanisms\, mechanical metamaterials\, self-deploy
 ing surfaces\, and personalized robots. 
LOCATION:MEB1 B10 https://plan.epfl.ch/?room==ME%20B1%20B10
STATUS:CONFIRMED
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