Space Mining Professors in Global

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Finn Jørgensen
Technical University of Denmark Denmark
space technology
space instrumentation
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Jochen Renz
Australian National University Australia
spatial information systems
spatial reasoning
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Audrey Goulet
University of Western Australia Australia
mining induced seismicity
mining engineering
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Hina Shaheen
University of Manitoba Canada
machine learning
computational modelling
statistical machine learning
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Qifan Song
Purdue University United States of America
machine learning
massive data modeling
deep learning
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Georg Stadler
New York University United States of America
computational earth science
scientific machine learning
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Madeleine Wyburd
University of Copenhagen Denmark
computational modelling
deep learning
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Kamila Jozwik
University of Cambridge United Kingdom
computational modelling
deep learning
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Florentina Bunea
Cornell University Netherlands
statistical machine learning
latent-space clustering
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David Brainard
University of Pennsylvania United States of America
computational modeling
machine vision
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Guido Montúfar
University of California Los Angeles United States of America
mathematical machine learning
deep learning
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Xiaohua Huang
University of California, San Diego United States of America
computational modeling
deep machine learning
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Clayton Deutsch
University of Alberta Canada
geospatial prediction
geological modeling
mining engineering
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Shai Ben-david
University of Waterloo Canada
statistical machine learning
computational machine learning
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Gerasimos Spanakis
Maastricht University Netherlands
data mining
machine learning
computational modeling
deep learning
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Eranga Ukwatta
University of Guelph Canada
machine learning
computational modeling
deep learning
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Mike Gruntman
University of Southern California United States of America
space physics
space instrumentation
space technologies
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Fani Deligianni
University of Glasgow United Kingdom
statistical machine learning
deep learning
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Saikat Chatterjee
Royal Institute of Technology Sweden
statistical machine learning
deep learning
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Julian Kooij
Delft University of Technology Netherlands
statistical machine learning
deep learning
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Adji Dieng
Princeton University United States of America
statistical machine learning
deep learning
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