Resilience Ai Algorithms Professors in Global

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Cecilia Ying
Purdue University United States of America
biases in ai
corrective measures in ai
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Thorbjørn Iversen
University of Southern Denmark Denmark
resilient manufacturing systems
ai-powered technologies
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David Michalik
Aalborg University Denmark
resilient manufacturing systems
ai-powered technologies
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Sheila Mcilraith
University of Toronto Canada
ai alignment
human-compatible ai
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Il-min Kim
Queen's University Canada
ai alignment
geoscience ai
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P.a.n. Bosman
Delft University of Technology Netherlands
evolutionary algorithms
genetic algorithms
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Boris Rubinsky
University of California, Berkeley United States of America
evolutionary algorithms
genetic algorithms
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Tarek Hegazi
University of Waterloo Canada
evolutionary algorithms
genetic algorithms
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Christian Jacob
University of Calgary Canada
evolutionary algorithms
genetic algorithms
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Ahmed Ashraf
University of Manitoba Canada
ai power systems
ai epigenetics
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Stefanie Jegelka
Massachusetts Institute of Technology United States of America
robustness of machine learning algorithms
optimization algorithms
algorithmic machine learning
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
genetic algorithms
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Jan Van Den Brand
Georgia Institute of Technology United States of America
optimization algorithms
dynamic algorithms
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Jimmy Zhu
Carnegie Mellon University United States of America
pervasive ai remanence computing
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Saurabh Amin
Massachusetts Institute of Technology United States of America
resilient network control
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Soroush Abolfathi
University of Warwick United Kingdom
resilient infrastructures
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Mark Michaeli
Technical University of Munich Germany
resilient infrastructures
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Maryam Ghodrat
University of New South Wales Australia
resilient infrastructures
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Payman Arabshahi
University of Washington United States of America
resilience of critical networks
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Madhav Mani
Northwestern University United States of America
data-driven ai approaches
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Michael Adams
University of Victoria Canada
robust implementation algorithms
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