Configurable Adaptive Problem Solving Systems Professors in Global

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Howard Schwartz
Carleton University Canada
adaptive learning systems
adaptive control
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Oliver Diessel
University of New South Wales Australia
dynamically reconfigurable systems
reconfigurable digital systems
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Daler Rakhmatov
University of Victoria Canada
dynamically reconfigurable systems
reconfigurable architectures
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Audrey Durand
Laval University Canada
adaptive learning systems
adaptive agents
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Yehia Abd Alrahman
University of Gothenburg Sweden
programming collective adaptive systems
reconfigurable multi-agent systems
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Hongyang Dong
University of Warwick United Kingdom
adaptive dynamic programming
adaptive control
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Medhat Moussa
University of Guelph Canada
reconfigurable computing
user-adaptive robots
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Mohamed Ibnkahla
Carleton University Canada
adaptive signal processing
reconfigurable networks
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Jia-huai You
University of Alberta Canada
computational problem solving
declarative problem solving
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Andres Arrieta
Purdue University United States of America
adaptive structures
programmable structures
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Ken Mckay
University of Waterloo Canada
dynamic problem solving
adaptive heuristics
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Simin Nadjm-tehrani
Linköping University Sweden
adaptive resource allocation
adaptive anomaly detection
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James Woodruff
University of Chicago United States of America
complex problem solving
adaptive behavior
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Dennis Bernstein
University of Michigan United States of America
adaptive control
resilient autonomous systems
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Wassim Haddad
Georgia Institute of Technology United States of America
adaptive neuroadaptive control
nonlinear robust adaptive control
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Vincent Mooney
Georgia Institute of Technology United States of America
reconfigurable architectures
application-specific system design
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Amber Walraven
Radboud University Netherlands
adaptive capacity
adaptive expertise
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Fernando Pedone
Università della Svizzera italiana Switzerland
dependable distributed systems
fault-tolerant systems
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Martin Bunch
York University Canada
adaptive management
problem solving approaches
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Shweta Singh
Purdue University United States of America
complex systems models
sustainable systems modeling
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Steven Reece
University of Oxford United Kingdom
interpretable machine learning
scalable human-agent computation
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