Generative Ai In Performance Professors in Global

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Wei Li
University of Victoria Canada
applied ai in automation
applied ai in agriculture
applied ai in finance
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Daniel De Leng
Linköping University Sweden
human-centered ai
symbolic ai
explainable ai
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Paolo Soda
Umeå University Sweden
generative approaches
resilience ai algorithms
explainable ai
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Guang Lin
Purdue University United States of America
physics-informed ai
reliable ai
robust ai
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Nikola Banovic
University of Michigan United States of America
human-ai interaction
responsible ai
explainable ai
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Dianer Yu
University of New South Wales Australia
generative artificial intelligence
explainable ai
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Mark Plumbley
King's College London United Kingdom
generative audio
ai analysis
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Derya Soydaner
Leiden University Netherlands
cognitive processes in ai
human-ai interaction
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Monte Taylor
Purdue University United States of America
generative audio
performance
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Paolo Bientinesi
Umeå University Sweden
performance prediction
automatic generation algorithms
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Morteza Zihayat
Toronto Metropolitan University Canada
human-centered ai
decentralized ai
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Baptist Liefooghe
Utrecht University Netherlands
human-centered ai
human-ai interaction
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Angel Hwang
University of Southern California United States of America
human-centered ai
human-ai interaction
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Gayane Sedrakyan
University of Twente Netherlands
human-centered ai
explainable ai
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Caterina Moruzzi
University of Edinburgh United Kingdom
human-ai co-creativity
responsible ai
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Sheila Mcilraith
University of Toronto Canada
human-compatible ai
ai alignment
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Aditya Vashistha
Cornell Bowers University United States of America
human-ai interaction
ai auditing
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Charles Martin
Australian National University Australia
human-ai interaction
collaborative performance
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Mahdi Abouei
University of Manitoba Canada
human-ai interaction
ai implementation
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Eric Piette
Université catholique de Louvain Belgium
game artificial intelligence
explainable ai
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Il-min Kim
Queen's University Canada
generative ai
safe generative ai
geoscience ai
ai alignment
responsible ai
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