Embedded Computing Professors in Global

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Phil Koopman
Carnegie Mellon University United States of America
embedded systems
embedded control networks
distributed embedded systems
secure embedded systems
embedded systems education
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Muhammad Shafique
New York University Tandon School of Engineering United States of America
embedded systems
embedded machine learning
brain-inspired computing
energy-efficient computing
robust computing
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Rahim Rahmani
Stockholm University Sweden
distributed data processing
pervasive computing
spatial computing
distributed intelligence
distributed systems
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Stephan Wong
Delft University of Technology Netherlands
embedded systems
high-performance computing
distributed collaborative computing
reconfigurable computing
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Awos Kanan
University of Victoria Canada
embedded systems
applied machine learning
reconfigurable computing
parallel computing
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Ian Foster
University of Chicago United States of America
distributed computing
data-intensive computing
high-performance computing
parallel computing
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Ian Jeffrey
University of Manitoba Canada
distributed computing
high-performance computing
gpu computing
applied machine learning
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Anne Rogers
University of Chicago United States of America
edge computing
cloud computing
quantum computing
internet computing
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Ian Foster
University of Chicago United States of America
distributed computing
data-intensive computing
parallel computing
scientific computing
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Ligang He
University of Warwick United Kingdom
distributed computing
edge computing
parallel computing
deep learning
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Mohammad Goudarzi
Monash University Australia
edge computing
cloud computing
applied machine learning
distributed systems
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Bernd Dammann
Technical University of Denmark Denmark
high-performance computing
gpu computing
large scale computations
scientific computing
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Kyle Chard
University of Chicago United States of America
cloud computing
high performance computing
distributed systems
scientific computing
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Hyesoon Kim
Georgia Institute of Technology United States of America
embedded processors
energy-efficient computing
high-performance computing
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Christos Strydis
Delft University of Technology Netherlands
embedded systems
high-performance computing
heterogeneous computing
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Yiran Chen
Duke University Singapore
embedded systems
edge computing
deep learning
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Hung Cao
University of New Brunswick Canada
embedded ai
edge computing
cloud computing
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Radu Stoleru
Texas A&M University United States of America
embedded real-time computing
distributed systems
deeply embedded wireless sensor systems
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Wim Vanderbauwhede
University of Glasgow United Kingdom
embedded systems design
quantum computing
scientific computing
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Fred Chong
University of Chicago United States of America
multicore embedded architectures
emerging technologies computing
quantum computing
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Howard Li
University of New Brunswick Canada
accelerated computing
edge computing
quantum computing
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