Fairness In Cross Layered Designs Professors in Global

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Aaron Roth
University of Pennsylvania United States of America
fairness in machine learning
algorithmic fairness
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Siavash Arjomand Bigdeli
Technical University of Denmark Denmark
bias fairness
algorithmic fairness
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Ramy Gohary
Carleton University Canada
fairness in cross-layered designs
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Alagan Anpalagan
Toronto Metropolitan University Canada
cross-layer design
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Lin Cai
University of Victoria Canada
cross-layer design
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Pin-han Ho
University of Waterloo Canada
cross-layer design
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Ioannis Lambadaris
Carleton University Canada
cross layer design
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Simon Armour
University of Bristol United Kingdom
cross-layer design
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Richard Yu
Carleton University Canada
cross-layer design
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Reza Sedaghat
Toronto Metropolitan University Canada
cross layer design optimization
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Reza Sedaghat
Toronto Metropolitan University Canada
cross layer design optimization
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Line Clemmensen
University of Copenhagen Denmark
fair modeling
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Matthew Parker
University of Calgary Canada
equity in design
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Feng Qian
University of Southern California United States of America
cross-layer system design
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Dana Mckinney White
Harvard University United States of America
equity in design
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Seth Neel
Harvard University United States of America
fairness in machine learning
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Anh Luong
Warwick Business School United Kingdom
fairness in algorithmic decision-making
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Rebecca Rubin
KTH Royal Institute of Technology Sweden
equitable design
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Arvind Narayanan
Princeton University United States of America
fairness in machine learning
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Gjergji Kasneci
Technical University of Munich Germany
fairness in machine learning
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Juba Ziani
Georgia Institute of Technology United States of America
fairness in machine learning
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