Machine Learning Applications In Sports Professors in Global

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Yoon Jin Kim
University of Birmingham United Kingdom
datafication in sport
digital education in sport
sports pedagogy
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Brian Dawson
University of Western Australia Australia
team sports training
sports performance analysis
sports physiology
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Janet Starkes
McMaster University Canada
decision-making in sports
cognitive processes in sports
sport psychology
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William Falcao
Concordia University Canada
sport management
sport coaching
sport psychology
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Qing Zhao
Cornell University Netherlands
machine learning
machine learning systems
algorithmic theory applications
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Brian Soebbing
University of Alberta Canada
sports betting
sport management
sport economics
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Scott Waltemyer
Texas A&M University United States of America
sports management
sport marketing
diversity in sports
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Katie Lebel
University of Guelph Canada
sport management
sport marketing
sports branding
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Gian Campagnolo
University of Edinburgh United Kingdom
data analytics in sports
sports analytics
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Lasse Jakobsen
Aalborg University Denmark
sports technology
sports science
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Martin Lames
Technical University of Munich Germany
sports informatics
game sports
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Erik Gnagy
University of Texas at Austin United States of America
applied sports psychology
sports performance
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Marion Mundt
University of Western Australia Australia
sports technology
machine learning
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Peter Peeling
University of Western Australia Australia
applied sports physiology
athlete performance optimization
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Krista Chandler
University of Windsor Canada
applied sport psychology interventions
imagery use in sport
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Borzou Rostami
University of Alberta Canada
machine learning applied to real-time decision making
integration of machine learning and optimization
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Jürgen Bernard
University of Zurich Switzerland
sports data analysis
machine learning
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Aristide Akem
University of Southampton United Kingdom
applied machine learning
machine learning
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Michael Mazzoleni
Duke University Singapore
sports engineering
machine learning
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Farhad Maleki
University of Calgary Canada
applied machine learning
machine learning
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Michael Gelbart
University of British Columbia Canada
applied machine learning
machine learning
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