Multimodal Generative Ai Professors in Global

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Il-min Kim
Queen's University Canada
generative ai
multiple ai agents
safe generative ai
geoscience ai
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Glaucia Melo Dos Santos
Toronto Metropolitan University Canada
adaptive ai
ai-driven development
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Priyanka Rana
Macquarie University Australia
generative models
weakly supervised multimodal deep learning
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Mobarak Hoque
University of Manchester United Kingdom
multimodal large language models
agent-based ai
medical imaging ai
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Derya Soydaner
Leiden University Netherlands
cognitive processes in ai
interdisciplinary ai research
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Vesna Sossi
University of British Columbia Canada
multi-modal imaging analysis
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Aarne Ranta
University of Gothenburg Sweden
multilingual text generation
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Mathias Broth
Linköping University Sweden
multimodal interaction analysis
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Ro Jefferson
Utrecht University Netherlands
neuro-inspired ai
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Arturo Molina-cristobal
University of Glasgow United Kingdom
multi-objective genetic algorithms
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Jianwei Zhang
University of Hamburg Germany
multimodal systems
multimodal interfaces
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Linköping University Sweden
multimodal interfaces
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Bruce Walker
Georgia Institute of Technology United States of America
multimodal interfaces
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Ayoub Bagheri
Utrecht University Netherlands
multimodal understanding
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Mousumi Rizia
Australian National University Australia
deep generative modelling
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Burak Kantarci
University of Ottawa Canada
ai-native generation networks
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Samson Esayas
Harvard University United States of America
regulating generative ai
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Cristyne Hébert
University of Regina Canada
multimodal assessment
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Jürgen Streeck
University of Texas at Austin United States of America
multi-modal interaction
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Andre Kumar
United States Government United States of America
generative ai in medicine
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Wm. Kennedy
University of Oxford United Kingdom
interdisciplinary ai
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