Ai Based Estimation And Monitoring Techniques Professors in Global

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Yue Zhao
University of Southern California United States of America
ai and climate modeling
reliable ai systems
scalable ai systems
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Marina Friedrich
Vrije Universiteit Amsterdam Netherlands
nonparametric estimation techniques
trend estimation
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Yue Zhao
University of Southern California United States of America
evaluation frameworks for ai
reliable ai systems
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Morteza Zihayat
Toronto Metropolitan University Canada
human-centered ai
decentralized ai
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Paul Mclachlan
Technical University of Denmark Denmark
statistical methods
modeling techniques
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Shirley Tang
University of Waterloo Canada
analytical methods
ai assisted materials development
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Emmanuel Ho
University of Waterloo Canada
analytical methods
ai assisted materials development
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Yiren Zhao
Imperial College London United Kingdom
large-scale generative ai systems
efficient ai
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Xiaoyu Sun
Australian National University Australia
ai-based monitoring
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Liang Zheng
Australian National University Australia
ai-based monitoring
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Samina Abidi
Dalhousie University Canada
ai methods
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Jonathan Huggins
Boston University United States of America
ai methods
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David Lau
Carleton University Canada
real-time monitoring techniques
monitoring and assessment of large structures
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Mark Plumbley
King's College London United Kingdom
ai analysis
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Xi Chen
Northwestern University United States of America
ai-enhanced optical imaging techniques
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Dennis Fok
Erasmus University Rotterdam Netherlands
efficient estimation techniques
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Thomas Ying
University of Gothenburg Sweden
ai-based image analysis
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Dan Stowell
Tilburg University Netherlands
ai biodiversity monitoring
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Andrea Gauthier
University College London United Kingdom
ai-enabled technologies
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Sogand Sadrhaghighi
University of Manitoba Canada
monitoring and analytics
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Sonia Grego
Duke University Singapore
monitoring technologies
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