The CNCI Program supports creative research underlying
the analysis and design of intelligent engineering systems for control, communications,
and computation. The program invites proposals for research that can lead to
improved methods for analysis, design, and evaluation of complex systems that
incorporate characteristics of non-linearity, uncertainty, scaleability, and
non-stationarity.
Distributed systems and networks occur in telecommunications, power and
energy, and transportation systems.
Hybrid systems require representation of both continuous
and discrete-events and are of increasing interest in the study of networks,
manufacturing, and transportation systems.
Adaptive, learning and
self-organizing systems offer potential for improved performance
for systems with unknown models and changing characteristics, especially
in biomedical and environmental applications.
High performance and domain-specific computation is applied to the development
of simulation, design, and decision tools for engineering applications.
Biologically-inspired methods and algorithms including neural networks, evolutionary
computation, behavioral architectures, and intelligent agents for engineering
applications are also of interest.
Click on Workshops for
descriptions of recent workshops.
PROGRAM
DIRECTORS: |
AREAS
OF INTEREST:
(Click on
names for more detail)
|
Dr.
Kishan Baheti
rbaheti@nsf.gov |
Control Theory and Applications, Nonlinear
and Robust Control, Hybrid Systems, Sensors-based
Control |
Dr.
Vittal Rao
vrao@nsf.gov
|
Integrated Sensor Systems, Ad hoc Sensor
and Actuator Networks; Sensor Data Fusion; Smart Systems;
Wireless Communication Systems; Distributed Signal
Processing; Computation Video; Cyberinfrastructure.
|
Dr.
James A. Momoh
jmomoh@nsf.gov
|
Power and Energy Systems, Reliability,
Distributed and Intelligent Systems |
Dr.
Paul J. Werbos
pwerbos@nsf.gov
|
Neural Network Computation and Control, Learning and
Self-organizing Systems, Biologically-inspired Computation
|
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|