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DM: CFP: ACAI'99 Workshop on Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications


From: Vangelis Karkaletsis
Date: Wed, 20 Jan 1999 08:28:13 -0500 (EST)
  • Organization: NCSR "Demokritos"

            ***  CALL FOR PAPERS AND PARTICIPATION ***
                           Workshop on 
            Intelligent Techniques for Spatio-Temporal Data
              Analysis in Environmental Applications


                 MACHINE LEARNING AND APPLICATIONS
     Advanced Course on Artificial Intelligence 1999 (ACAI'99)
                   5-16 July 1999, Chania, Greece
           (http://www.iit.demokritos.gr/skel/eetn/acai99)

  European Coordinating Committee on Artificial Intelligence (ECCAI)
                       (http://www.eccai.org)
           Hellenic Artificial Intelligence Society (EETN)
               (http://www.iit.demokritos.gr/skel/eetn)


Workshop description
------------------------

The serious problems in environmental protection, management and research can be addressed by effective use of comprehensive and reliable environmental data. These data are gathered in various forms and can be coming from various sources. A characteristic of environmental data is their spatial and temporal dimension common to most environment problems. Analysis of environmental data can lead to effective modelling and understanding of complex environmental processes and eventually, the solution of our urgent environmental problems.

This workshop is concentrated on state-of-the-art techniques for spatial and temporal data analysis in the context of environmental problem solving. Spatial and/or temporal data analysis can be applied to environmental data of various complex real-world problems involving for instance large multisource temporal databases that may include remotely sensed data (e.g. multispectral satellite images, airborne data), grid data and point/local measurements. Efficient techniques used for the analysis of such data are of great value in many environmental problems as for environmental prevention, monitoring and assessment of natural disasters.

This workshop is focused on the use of intelligent techniques such as neural networks, fuzzy logic, genetic algorithms and decision trees, for environmental monitoring and/or extracting information relevant to the environment from spatio-temporal data. The goal is the presentation of state-of-the-art research results and practice on the above domains based on a theoretical as well as on an application oriented framework.

Original, high-quality contributions are invited to be presented and discussed during this research meeting. Participants of different backgrounds will be familiarized with the fields of spatio-temporal data analysis using intelligent techniques and will gain insight into the emerging field of environmental informatics.

Topics of interest include but are not restricted to:
* Extraction of information from spatio-temporal databases using:
  - Neural Networks
  - Fuzzy Systems
  - Genetic Algorithms
  - Decision Trees
  - Machine Learning
  - Advanced Pattern Recognition Techniques
  - Advanced Image Processing Techniques
  - Advanced Forecasting Techniques
  - AI and Expert Systems

* Environmental application areas:
  - Pollution (aerial, water, ground)
  - Land Surface Monitoring (e.g. land-use, forest fires,
desertification)
  - Ecosystems
  - Waste Control (e.g. oil spills)
  - Sea Surface, Sea Ice, Ocean Winds
  - Meteorology

       etc.



Preliminary schedule/Agenda:
------------------------------
* Possible invited presentation from experienced researcher in the
field.
* Panel discussion with active audience participation
* Contributed presentations of research work and results.



Organizing Committee:
--------------------------
  Prof. Nikolaos M. Avouris, University of Patras, Greece
        (e-mail: N.Avouris@ee.upatras.gr)

  Prof. Jon Atli Benediktsson, University of Iceland, Iceland
        (e-mail: benedikt@verk.hi.is)

  Prof. Horst Bischof, Vienna University of Technology, Austria
        (e-mail: bis@prip.tuwien.ac.at)

  Mr.   Elias Kalapanidas, University of Patras, Greece
        (e-mail: ekalap@ee.upatras.gr)

  Dr.   Stavros Perantonis, NCSR "Demokritos", Greece
        (e-mail: sper@iit.demokritos.gr)

  Prof. Ioannis Pitas, Aristotle University of Thessaloniki, Greece
        (e-mail: pitas@zeus.csd.auth.gr)

  Dr.   Nikolaos Vassilas, NCSR "Demokritos", Greece
        (e-mail: nvas@iit.demokritos.gr)





Submission:
-------------
Interested authors are requested to submit a paper, of no more than 
10 pages, before *** 15 March 1999 *** Authors of accepted papers 
will be asked to provide a camera-ready version of their paper 
before 10 April 1999.
The Workshop Proceedings will be published as a technical report 
in collaboration with the ACAI-99 organization committee.
Submissions should be sent by email to:

  Prof. Nikolaos Avouris
  University of Patras
  Electrical & Computer Engineering Department
  GR-265 00 Rio Patras, Greece
  E-mail: N.Avouris@ee.upatras.gr

  OR

  Dr. Nikolaos Vassilas
  N.C.S.R. "Demokritos"
  Institute of Informatics and Telecommunications
  153 10 Agia Paraskevi, Attiki, Greece
  E-mail: nvas@iit.demokritos.gr



Organizational Issues:
----------------------------
The workshop will take place during an afternoon session of ACAI-99. 
The
exact date of the workshop will be announced by the ACAI-99 organizing
committee. Anyone registered for the main ACAI-99 event can also 
attend
all the workshops. For the workshop participants who will not be
registered
for the whole ACAI-99 there will be a fee of 100 Euro.




Important Dates:
------------------
  15 March, 1999 Deadline for paper submission
  25 March, 1999 Notification of acceptance
  10 April, 1999 Deadline for final camera ready papers
  5-16 July, 1999 ACAI-99



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