[robotics-worldwide] Special session on Cognitive Robotics at SPIE DSS MMIF 2011

DAMIAN M. LYONS dlyons at fordham.edu
Sun Sep 26 08:51:55 PDT 2010


See the 'call for abstracts' for SPIE DSS MMIF 2011 conference below:
Last year, we had a very successful special session and panel on Fusion for
Cognitive Robotics and we encourage submissions in this area again this
year.


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Multisensor, Multisource Information Fusion: Architectures, Algorithms, and
Applications 2011

25 - 29 April 2011
Orlando World Center Marriott Resort and Convention Center
Orlando, Florida United States

http://www.spie.org/ds224


Conference Chair
Jerome J. Braun, MIT Lincoln Lab.
Program Committee
Sheela V. Belur, The Van Dyke Technology Group, Inc.; Belur V. Dasarathy,
Information Fusion Technologies; Michael Heizmann, Fraunhofer-Institut für
Optronik, Systemtechnik und Bildauswertung (Germany); Charles F. Hester,
U.S. Army Research, Development and Engineering Command; Mieczyslaw M.
Kokar, Northeastern Univ.; Damian M. Lyons, Fordham Univ.; Mirela Popa,
General Dynamics Armament and Technical Products; Firooz A. Sadjadi,
Lockheed Martin Maritime Systems & Sensors; Pierre Valin, Defence Research
and Development Canada (Canada); Shanchieh Jay Yang, Rochester Institute of
Technology

Abstract Due Date: 11 October 2010

Post-Meeting Manuscript Due Date: 28 March 2011

This conference is designed to highlight the advances being made in the
exponentially growing field of multisensor, multisource information fusion
and will cover all the different facets of information fusion systems
starting from the conceptual design through development, testing, and
fielding.

The main objective of the conference will be to promote synergistic
exploitation of the ideas from the different areas of endeavor that
together constitute the field of information fusion. In particular, the
emphasis will be on the triplet: Architectures, Algorithms, and
Applications. Papers dealing with intelligent techniques that are relevant
to fusion processing are actively sought. Applications from both defense
and civilian domains (such as robotics, medicine, and space, as well as
those dealing with  non-traditional information sources) are welcome to
further a fruitful exchange of issues and ideas. Studies dealing with
real-world issues, such as computational demands, real-time constraints,
and the like are particularly encouraged. Papers that address one or more
of the questions of what, where, why, when, and how in the context of
multisource information fusion fall within the scope of the conference.

Areas of interest include but are not limited to:


* multisensor, multisource fusion system architectures
data, feature, decision, and multilevel fusion
* higher levels of JDL including situation awareness (SA), threat
assessment, and impact assessment
* application of SA techniques to such areas as cyber, tactical, global,
and asymmetric threats
* multi-classifier fusion, algorithmic processes fusion
* elucidative fusion systems, fusion benefits assessment and prediction,
and associated metrics
* multi-look and temporal fusion
* active, passive, and mixed sensor suites as well as non-traditional
data/information sources such as databases and HUMINT
* adaptive and self-improving fusion system architectures
* multisensor and distributed sensor system design
* fusion learning in imperfect, imprecise, and incomplete environments
* intelligent techniques for fusion processing
* computational resources optimization
* customized hardware dedicated to fusion applications
* system design and algorithmic issues
* linguistic information fusion, including fusion ontologies and semantic
web
* neurophysiologically motivated architectures and applications
* biomedical applications, including ICU patient monitoring, health care,
and diagnostics
* homeland defense including military and civilian
* other real-world applications such as robotics, mine detection, remote
sensing, transportation systems, document analysis, character recognition,
identity verification, multisensor intrusion detection, and the like.



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Prof. D. M. Lyons
Dept. of Computer & Information Science
340 JMH Fordham University
441 E.Fordham Rd Bronx NY 10458
PH: (718) 817 4485  FX:(718)817-4488
EM: dlyons at cis.fordham.edu
http://www.cis.fordham.edu
http://www.cis.fordham.edu/rcvlab
http://www.cis.fordham.edu/~lyons



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