Material Design Optimization Using Machine Learning Professors in Global

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Qihan Wang
University of New South Wales Australia
design optimization
integrated design optimization
machine learning
mechanical material analysis
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Xiaofeng Qian
Texas A&M University United States of America
materials design
multiscale materials modeling
materials discovery
materials theory
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
machine learning
computational optimization
optimal design
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Heather Kulik
Massachusetts Institute of Technology United States of America
materials design optimization
materials biology modeling
machine learning
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Mark Crowley
University of Waterloo Canada
material design
optimization
machine learning
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Jeremy Chen
National University of Singapore Singapore
design optimization
mathematical optimization
machine learning
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Richard Malak
Texas A&M University United States of America
materials design
optimization
machine learning
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Thomas Bligaard
Technical University of Denmark Denmark
materials design
optimization algorithms
machine learning
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Prasanth Nair
University of Toronto Institute for Aerospace Studies Canada
design optimization
machine learning
computational materials science
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Emilia Olsson
University of Amsterdam Netherlands
computational materials design
application specific materials design
machine learning
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Douglas Allaire
Texas A&M University United States of America
multidisciplinary design optimization
design materials
machine learning
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Wenying Liu
University of British Columbia Canada
materials engineering
material characterization
material synthesis
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Joyce Kooijman
Delft University of Technology Netherlands
optimization
algorithm design
machine learning
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Elad Hazan
Princeton University United States of America
optimization
algorithm design
machine learning
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Ismaila Dabo
Carnegie Mellon University United States of America
materials engineering
machine learning
computational materials science
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Wei Gao
University of New South Wales Australia
meta-material design
structural optimization
machine learning
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Jon Nakane
University of British Columbia Canada
materials engineering
material characterization
material synthesis
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Gökçin Çınar
University of Michigan United States of America
optimization
machine learning
probabilistic design
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Paulette Clancy
Johns Hopkins University United States of America
materials processing
machine learning
materials discovery
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Somnath Ghosh
Johns Hopkins University United States of America
materials characterization
machine learning
computational materials science
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Bissan Ghaddar
Western University Canada
optimization models
machine learning
energy optimization
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