Machine Aided Programming Professors in Global

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Fabian Bastin
University of Montreal Canada
mathematical programming
stochastic programming
nonlinear programming
computer simulation
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Martin Andersen
Technical University of Denmark Denmark
mathematical programming
machine learning
stochastic programming
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Ibrahim Deiab
University of Guelph Canada
computer-aided engineering
computer-aided design
computer-aided manufacturing
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Moez Ali
Queen's University Canada
automated machine learning
machine learning
automated modeling
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Ilan Adler
University of California, Berkeley United States of America
mathematical programming
computer aided scheduling
linear programming
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Michael Beltran
Northwestern University United States of America
computer-aided engineering
computer-aided design
computer-aided manufacturing
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Fabricio Oliveira
Technical University of Denmark Denmark
mathematical programming
machine learning
stochastic programming
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Holger Hoos
RWTH Aachen University Germany
automated machine learning
machine learning
automated reasoning
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Ralf Peeters
Maastricht University Netherlands
machine learning
mathematical modelling
mathematical artificial intelligence techniques
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Yisong Yue
California Institute of Technology United States of America
machine learning
statistical machine learning
structured machine learning
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Laurence Frank
Utrecht University Netherlands
machine learning
programming
predictive modelling
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Tony Lindgren
Stockholm University Sweden
machine learning
constraint programming
logic programming
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Anders Bæk-petersen
University of Southern Denmark Denmark
machine learning
mathematical modelling
automated decision making
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Yassine Yaakoubi
Concordia University Canada
stochastic programming
machine learning-augmented optimization
probabilistic machine learning
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
computational modelling
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Merve Bodur
University of Edinburgh United Kingdom
machine learning
stochastic programming
dynamic programming
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Somnath Ghosh
Johns Hopkins University United States of America
machine learning
multiscale modeling
process modeling
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Markus Buehler
Massachusetts Institute of Technology United States of America
machine learning
multiscale modeling
atomistic modeling
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Philippe Lalande
University of Montreal Canada
computer-aided design
2d modeling
3d modeling
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Pierre Schaus
UCLouvain Belgium
constraint programming
machine learning algorithms
dynamic programming
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