Machine Scheduling Professors in Global

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Fabian Bastin
University of Montreal Canada
computer simulation
mathematical programming
stochastic programming
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Ilan Adler
University of California, Berkeley United States of America
computer aided scheduling
linear programming
mathematical programming
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Rahul Shome
Australian National University Australia
task motion planning
multi-robot planning
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Ye Zhao
Georgia Institute of Technology United States of America
task motion planning
automation
real-time motion planning
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James Mclellan
Queen's University Canada
process control
real-time optimization
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Don Wilkie
University of British Columbia Canada
computer simulation
timing
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Mats Granath
University of Gothenburg Sweden
quantum machine learning
deep machine learning
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Gustavo Alonso
ETH Zurich Switzerland
programming models
performance optimization
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Biao Huang
University of Alberta Canada
machine learning
process control
smart automation
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Jinfeng Liu
University of Alberta Canada
machine learning
process control
applied machine learning
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Leslie Willcocks
London School of Economics and Political Science United Kingdom
cognitive automation
service automation
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Marzyeh Ghassemi
Massachusetts Institute of Technology United States of America
behavioral machine learning
healthcare machine learning
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Marzyeh Ghassemi
Massachusetts Institute of Technology United States of America
behavioral machine learning
healthcare machine learning
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Yassine Yaakoubi
Concordia University Canada
probabilistic machine learning
stochastic programming
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Robert Langlois
Carleton University Canada
computer simulation
mathematical modelling
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Nicholas Diakopoulos
Northwestern University United States of America
automation algorithms
human-machine interaction
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Zukui Li
University of Alberta Canada
machine learning
process control
mathematical optimization
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Emma Davis
University of Warwick United Kingdom
mechanistic modelling
forecasting
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Howard Li
University of New Brunswick Canada
quantum machine learning
accelerated computing
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Jingrong Wang
Memorial University of Newfoundland Canada
distributed machine learning
scalable machine learning systems
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Ricardo Fukasawa
University of Waterloo Canada
computational optimization
stochastic programming
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