Re Configurable Computational Hardware Professors in Global

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Stephan Wong
Delft University of Technology Netherlands
reconfigurable computing
hardware
high-performance computing
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William Bishop
University of Waterloo Canada
configurable computing
hardware
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Kenneth Kent
University of New Brunswick Canada
reconfigurable computing
hardware
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Georgi Gaydadjiev
Delft University of Technology Netherlands
reconfigurable computing
hardware
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Viktor Prasanna
University of Southern California United States of America
reconfigurable computing
high performance computing
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Lesley Shannon
Simon Fraser University Canada
reconfigurable computing
reconfigurable digital microfluidics
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Tushar Krishna
Georgia Institute of Technology United States of America
reconfigurable computing
high-performance computing
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Gihan Mudalige
University of Warwick United Kingdom
reconfigurable computing
high-performance computing
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Fantahun Defersha
University of Guelph Canada
reconfigurable machine tools
reconfigurable manufacturing systems
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Laura Pozzi
Università della Svizzera italiana Switzerland
customizable processors
embedded processor customization
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Daler Rakhmatov
University of Victoria Canada
reconfigurable architectures
dynamically reconfigurable systems
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Oliver Diessel
University of New South Wales Australia
reconfigurable digital systems
dynamically reconfigurable systems
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Limei Tian
Texas A&M University United States of America
reconfigurable materials
programmable materials
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Marco Di Renzo
King's College London United Kingdom
reconfigurable intelligent surfaces
reconfigurable metasurfaces
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Nadya Peek
University of Washington United States of America
open-source hardware
computational fabrication
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Gul Khan
Toronto Metropolitan University Canada
hardware
high performance computing
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Liwei Wang
Carnegie Mellon University United States of America
computational design
programmable materials
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Anwar Hasan
University of Waterloo Canada
cryptographic hardware
dependable secure computing
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Georgiy Krylov
University of New Brunswick Canada
quantum reversible computing
high performance computing
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George Amvrosiadis
Carnegie Mellon University United States of America
high performance computing
scalable machine learning
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Juan Alonso
Stanford University United States of America
computational design
high-performance computing
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