Geodynamic Controls Professors in Global

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Ali Karrech
University of Western Australia Australia
computational geo-mechanics
thermodynamics
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Jelke Dijkstra
Chalmers University of Technology Sweden
experimental geomechanics
geo-electrical techniques
geotechnical testing
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Mike Dentith
University of Western Australia Australia
agricultural geophysics
applied geophysics
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Mike Kendall
University of Oxford United Kingdom
environmental geophysics
applied geophysics
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Jurek Sasiadek
Carleton University Canada
aerospace control
guidance navigation and control
control systems
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Zhan Shu
University of Alberta Canada
control of mobile robots
control systems
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Muhammad Babar
University of New South Wales Australia
computational aerodynamics
experimental aerodynamics
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Andrew Wells
University of Oxford United Kingdom
thermodynamics
geophysical processes
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José Candanedo
University of Sherbrooke Canada
control-oriented modeling
predictive control
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Chris Rizos
University of New South Wales Australia
geodesy
geospatial technology
geoinformatics
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Milad Morid Zadeh
University of Southern Denmark Denmark
thermodynamics
control design
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Yuting Zhang
University of Southampton United Kingdom
probabilistic geotechnics
machine learning in geotechnical engineering
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David Zingg
University of Toronto Canada
computational aerodynamics
aerodynamic optimization
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Herschel Pangborn
Pennsylvania State University United States of America
predictive distributed control
dynamic systems control
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Emmanouil Papastavridis
King's College London United Kingdom
impedance control
nonlinear control
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Thomas Kalscheuer
Uppsala University Sweden
geophysical inversion
applied geophysics
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Mojtaba Ahmadi
Carleton University Canada
real-time control
nonlinear control
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Tjeerd Kiers
ETH Zurich Switzerland
geophysical methods
applied geophysics
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Thomas Kolbe
Technical University of Munich Germany
geoinformatics
geospatial analysis
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Steven De Jong
Utrecht University Netherlands
geo-computation
spatio-dynamic modelling
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Quan Nguyen
University of Southern California United States of America
control optimization
nonlinear control
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