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Predicting Mechanical Strength
Predicting Mechanical Strength Professors in Global
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Professor
Pedro Reis
École Polytechnique Fédérale de Lausanne
Switzerland
mechanics
mechanical instabilities
experimental mechanics
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Professor
Alfred Hero
University of Michigan
United States of America
predictive medicine
statistical machine learning
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Professor
Jean-yves Pitarakis
University of Southampton
United Kingdom
predictive regressions
predictive accuracy testing
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Professor
Zoltán Szabó
London School of Economics and Political Science
United Kingdom
statistical machine learning
shape-constrained prediction
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Professor
Yuhang Hu
Georgia Institute of Technology
United States of America
mechanics
mechanical characterization of soft materials
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Professor
Evgeny Morozov
University of New South Wales
Australia
mechanical testing and analysis
applied structural mechanics
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Professor
Erik Nielsen
Texas A&M University
United States of America
numerical weather prediction
operational forecasting
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Professor
Professor
Dresden University of Technology
Germany
mechanics
machine dynamics
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Professor
James Hogan
University of Alberta
Canada
mechanics
experimental mechanics
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Professor
John Shaw
University of Michigan
United States of America
mechanics
experimental mechanics
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Professor
Alan Jones
Purdue University
United States of America
mechanics
experimental mechanics
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Professor
Laurence Jacobs
Georgia Institute of Technology
United States of America
mechanics
experimental mechanics
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Professor
Cagri Ayranci
University of Alberta
Canada
mechanics
experimental mechanics
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Professor
Brian Jewett
University of Illinois
United States of America
numerical weather prediction
weather analysis forecasting
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Professor
Ciara Pike-burke
Imperial College London
United Kingdom
statistical machine learning
reinforcement learning
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Professor
Ashwin Pananjady
Georgia Institute of Technology
United States of America
statistical machine learning
reinforcement learning
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Professor
Raaz Dwivedi
Cornell University
Netherlands
statistical machine learning
reinforcement learning
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Professor
Linda Zhao
University of Pennsylvania
United States of America
statistical machine learning
reinforcement learning
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Professor
Yuxin Chen
University of Pennsylvania
United States of America
statistical machine learning
reinforcement learning
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Professor
Ashwin Martin
Georgia Institute of Technology
United States of America
statistical machine learning
reinforcement learning
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Professor
Peder Bacher
Technical University of Denmark
Denmark
solar power forecasting
forecasting heat load
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