Participants

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  • Aristov Igor

    Voronezh State University
    Assistant
    Voronezh, Russia
    • T03.

      The “Electronic nose”: a multivariate approach

      presentation (1.4 MB)

  • Belitskaja Elena

    Institute of Petroleum Chemistry
    Researcher
    Tomsk, Russia
    • P11.

      Multivariate methods for data processing in organic geochemistry

    • P14.

      Adaptive mathematical models of composition in analytical chemistry and earth sciences (Coauthor)

  • Bogomolov Andrey

    Advanced Chemistry Development, Inc.
    Project leader
    Moscow, Russia
    • T02.

      Software for interactive curve resolution using SIMPLISMA

      presentation (2.3 MB)

  • Bondarenko Alexander

    Belarusian State University
    PhD student
    Minsk, Belarus
    • T07.

      Inverse problem in potentiodynamic electrochemical impedance spectroscopy

      presentation (844.5 KB)

  • Dahl Casper

    Aalborg University
    PhD student
    Esbjerg, Denmark
    • P02.

      Image analytical sampling — prospects and limitations

      presentation (317.5 KB)
    • L01.

      Reliable sampling, chemical analysis and chemometric data analysis (Coauthor)

    • P01.

      Critical survey of mass reduction devices in practical sampling (industry and laboratory) (Coauthor)

  • Ergon Rolf

    Telemark University College
    Head of department
    Porsgrunn, Norway
    • T01.

      Informative score-loading biplot for monitoring of process with two response variables

  • Fernandez Pierna Juan

    Agricultural Research Centre of Gembloux
    Research assistant
    Gembloux, Belgium
    • T05.

      Hyperspectral infrared technique: the use of Support Vector Machines (SVM) in large data sets

  • Geladi Paul

    Swedish University of Agricultural Sciences
    Researcher
    Umeå, Sweden
    • L06.

      Near infrared spectroscopy and calibration in industrial applications

  • Khayamian Taghi

    Isfahan Univesrsity of Technology
    Associate professor
    Isfahan, Iran
    • T13.

      Application of wavelet neural networks in multivariate data analysis

  • Korobova Elena

    Vernadsky Institute of Geochemistry and Analytical Chemistry RAS
    Scientific secretary
    Moscow, Russia