High Reliability Models Professors in Global

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Debdeep Pati
University of Wisconsin–Madison United States of America
high dimensional network analysis
high-dimensional applications
hierarchical modeling
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Yudong Chen
University of Warwick United Kingdom
high-dimensional statistics
large language models
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Oscar Leong
University of California Los Angeles United States of America
high-dimensional statistics
generative models
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James Booth
Cornell University Netherlands
high-dimensional statistics
mixed models
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Oliver Fischer
Technical University of Munich Germany
engineering models
high-performance materials
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Daniel Truhn
RWTH Aachen University Germany
large language models
generative models
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Jiawei Zhang
University of Wisconsin–Madison United States of America
large language models
generative models
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Andi Han
University of Sydney Australia
large language models
generative models
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Kaixin Liu
London School of Economics and Political Science United Kingdom
high-dimensional time series
high-frequency time series
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Guy Bresler
Massachusetts Institute of Technology United States of America
high-dimensional inference
statistical models
mathematical models
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Charbel Farhat
Stanford University United States of America
high-performance software
mathematical models
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Georges Monette
York University Canada
statistical models
longitudinal models
mixed models
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Nina Breinegaard
University of Copenhagen Denmark
statistical models
robustness model validation
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Martin Trapp
KTH Royal Institute of Technology Sweden
large language models
tractable models
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Moritz Gräfe
Technical University of Denmark Denmark
reliability methods
data-driven models
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Soroush Ahooye Atashin
Aalborg University Denmark
high-speed machines
high-power machines
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Yasmine Abdin
University of British Columbia Canada
structural reliability
multi-scale modelling
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Yasmine Abdin
University of British Columbia Canada
structural reliability
multi-scale modelling
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Baran Yeter
Aalborg University Denmark
structural reliability
risk modeling
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Kishor Trivedi
Duke University Singapore
reliability modeling
performability modeling
software reliability
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Francene Lundy
University of Michigan United States of America
high reliability models
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