Power Aware Computing Professors in Global

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Diana Marculescu
University of Texas at Austin United States of America
energy-reliability-aware computing
computing sustainability
hardware-aware machine learning
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Diana Marculescu
University of Texas at Austin United States of America
energy-reliability-aware computing
computing sustainability
hardware-aware machine learning
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Jiaqi Gu
Arizona State University China
No active positions
energy-efficient computing
emerging hardware design for efficient computing
photonic computing
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Anne Trefethen
University of Oxford United Kingdom
energy-aware algorithms
high-performance computing
scientific computing
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Bernd Dammann
Technical University of Denmark Denmark
high-performance computing
gpu computing
scientific computing
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Martin Schulz
Technical University of Munich Germany
power-aware parallel computing
high-performance computing
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Kanishkan Vadivel
Eindhoven University of Technology Belgium
energy efficient computing
high-performance computing
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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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Muhammad Shafique
New York University Tandon School of Engineering United States of America
energy-efficient computing
robust computing
brain-inspired computing
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Peter Beerel
University of Southern California United States of America
energy-efficient computing
sustainable computing
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John Lam
York University Canada
power management
power electronics
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John Lam
York University Canada
power management
power electronics
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Jiaqi Gu
Arizona State University China
No active positions
efficient computing
photonic computing
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Mehrdad Ehsani
Texas A&M University United States of America
power control
power electronics
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Simon Mcintosh-smith
University of Bristol United Kingdom
high performance computing
gpu computing
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Tiziano De Matteis
Vrije Universiteit Amsterdam Netherlands
energy awareness
high-performance computing
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Minjie Chen
Princeton University United States of America
machine learning in power systems
power electronics
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Chun Chou
University of New South Wales Australia
computing
pervasive computing
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Rafael Calvo
Imperial College London United Kingdom
positive computing
affective computing
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Jayashri Ravishankar
University of New South Wales Australia
power system analysis
power system control
power system modeling
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