Resource Efficient Processing Machines Professors in Global

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Jiaqi Gu
Arizona State University China
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energy-efficient computing
emerging hardware design for efficient computing
efficient algorithm
efficient ai hardware design
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Annelie Carlson
Linköping University Sweden
resource efficiency
cost efficiency
energy efficiency
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Stratos Pistikopoulos
Texas A&M University United States of America
process optimization
computational tools for process design
energy efficiency
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Mikko Lipasti
University of Wisconsin–Madison United States of America
performance computing
high reliability computing
low power computing
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Simon Mcintosh-smith
University of Bristol United Kingdom
high performance computing
many-core processors
multi-core processors
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Henrik Mølbak Frederiksen
Aalborg University Denmark
energy efficient continual learning
resource constrained iot systems
reliable machine learning
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Sophia Wilson
University of Copenhagen Denmark
resource efficient machine learning
data efficient machine learning
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Kanishkan Vadivel
Eindhoven University of Technology Belgium
energy efficient computing
high-performance computing
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Natalie Enright Jerger
University of Toronto Canada
energy-efficient computing
high-performance processors
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Sami Kara
University of New South Wales Australia
energy resource efficiency
resource water efficiency manufacturing
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Hyesoon Kim
Georgia Institute of Technology United States of America
energy-efficient computing
high-performance computing
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Timothy Pinkston
University of Southern California United States of America
energy-efficient computing
high-performance computing
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R Bahar
Brown University United States of America
energy-efficient computing
robust machine learning
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Jiaqi Gu
Arizona State University China
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efficient computing
efficient ai hardware & algorithm
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Muhammad Shafique
New York University Tandon School of Engineering United States of America
energy-efficient computing
robust computing
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Lars Karlsson
Umeå University Sweden
efficient algorithms
high-performance computing
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Björn Glaser
KTH Royal Institute of Technology Sweden
resource effectiveness
materials processing
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Ranko Lazic
University of Warwick United Kingdom
computational efficiency
systems optimization
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Nikos Hardavellas
Northwestern University United States of America
energy-efficient computing
multicore processors
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Paolo Rossetti
Università della Svizzera italiana Switzerland
process optimization
process performance improvement
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Luca Benini
ETH Zurich Switzerland
energy-efficient computer architecture
high-performance computing
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