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SUMMARY:Human-in-the-loop Design with Machine Learning
DTSTART:20200212T090000
DTEND:20200212T100000
DTSTAMP:20260407T061234Z
UID:989047ee4e553b66c0c937711a1e9c7b73357766184125a3a58cafbc
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ms Pan Wang\, Dyson School of Design Engineering and Data Scie
 nce Institute of Imperial College London\nAbstract:\nGenerating design via
  machine learning has been an on-going challenge in data-driven engineerin
 g design. Current deep learning methods have been applied to randomly gene
 rate images\, such as in fashion\, furniture\, and product design. Such de
 ep generative methods typically require a large number of images for image
  generation. However\, human aspects which can play a pivotal role in a de
 sign process are not taken into account in this kind of automated design p
 rocess. In this talk\, I will explain how human cognitive activity works d
 uring the design process. I will present our recent approach\, which is a 
 human-in-the-loop AI design framework which shows a way to involve human c
 ognitive factors represented by brain activity (EEG & fMRI) in the generat
 ive process\, specifically\, according to different cognitive mechanisms t
 hat happen during the design process. To illustrate our results\, I will p
 resent three examples of using cognitive models for mental association\, p
 reference\, and conceptual blending in design cases. I will also talk abou
 t the advantages of these approaches in future applications such as creati
 ve design tools\, virtual reality\, medical devices\, future robotics by s
 upporting decision making\, scheme optimization and co-creation.\n\nBio:\n
 Pan Wang is a PhD from the Dyson School of Design Engineering and Data Sci
 ence Institute at Imperial College London under the supervision of Prof. P
 eter Childs (FREng/FIMechE/FASME) and Prof. Yike Guo (FREng/MAE). She cond
 ucts research on deep learning and brain decoding in data-driven engineeri
 ng design. Her research addresses various topic relating to AI design meth
 od\, human-data Interaction\, data-driven engineering design\, brain-compu
 ter interface\, design neurocognition\, and user-centred system. Her resea
 rch ‘Human-in-the-loop design with machine learning’ has won the disti
 nguished paper award ICED 2019. She has also won several top international
  design competitions (Winner of Electrolux Design Lab 2014). She founded a
  start-up company for digital health since 2015.
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202
STATUS:CONFIRMED
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