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Natalia Andrienko

From Wikipedia, the free encyclopedia

Natalia V. Andrienko (also published as Nathalia V. Andrienko) is a Ukrainian computer scientist who has worked in Moldova, Russia, Germany, and England; her research involves information visualization and visual analytics for geographic information systems and spatial data. She is a professor at City, University of London in England, a lead scientist for the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) in Sankt Augustin, Germany, and a principal investigator for the Lamarr Institute for Machine Learning and Artificial Intelligence in Dortmund, Germany.

Education and career

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Andrienko studied computer science at Kiev State University (now the Taras Shevchenko National University of Kyiv), and earned a master's degree there in 1985. She earned a Candidate of Sciences in 1993 (a type of doctoral degree in formerly Soviet countries) from Moscow State University.[1]

Before moving to the GMD (now the Fraunhofer Institute) in 1997,[2] she was a researcher at the Institute for Mathematics of the Moldovan Academy of Sciences in Chișinău, Moldova,[1] and in the Institute for Mathematical Problems of Biology in the Pushchino Research Center of the Russian Academy of Sciences in Pushchino, near Moscow.[1][3]

She became a professor at City, University of London in 2013, while maintaining her affiliation with the Fraunhofer Institute.[2] She is also a principal investigator for the Lamarr Institute for Machine Learning and Artificial Intelligence.[4]

Books

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Andrienko is a coauthor of books including:

  • Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach (with Gennady Andrienko, Springer, 2006)[5]
  • Towards a European Forest Information System (with A. Schuck, T. Green, G. Andrienko, A. Fedorec, A. Requardt, T. Richards, R. Mills, E. Mikkola, R. Paivenen, M. Kohl, and J. San-Miguel-Ayanz, Brill, 2007)[6]
  • Visual Analytics of Movement (with Gennady Andrienko, Peter Bak, Daniel Keim, and Stefan Wrobel, Springer, 2013)[7]
  • Visual Analytics for Data Scientists (with Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay, and Stefan Wrobel, Springer, 2020)[8]

Recognition

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Andrienko was named to the IEEE Visualization Academy in 2022.[9]

References

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  1. ^ a b c Author biography from Geospatial Visualisation, Lecture Notes in Geoinformation and Cartography, Springer Berlin Heidelberg, 2013, p. 261, doi:10.1007/978-3-642-12289-7, ISBN 9783642122897
  2. ^ a b Professor Natalia Andrienko, City, University of London, retrieved 2024-01-08
  3. ^ Voss, Hans (October 1996), "IRIS generates Thematic Maps", ERCIM News, vol. 27, European Research Consortium for Informatics and Mathematics, retrieved 2024-01-08
  4. ^ Prof. Dr. Natalia Andrienko, Lamarr Institute for Machine Learning and Artificial Intelligence, retrieved 2024-01-08
  5. ^ Review of Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach: Jochen L. Leidner, ACM Computing Reviews, [1]
  6. ^ Review of Towards a European Forest Information System: Mark Lawrence, The International Forestry Review, JSTOR 43739771
  7. ^ Review of Visual Analytics of Movement: Atsushi Nara, Annals of GIS, doi:10.1080/19475683.2015.992828
  8. ^ Review of Visual Analytics for Data Scientists: Sarah Battersby, International Journal of Cartography, doi:10.1080/23729333.2021.2015566
  9. ^ "The IEEE VGTC Visualization Academy", Visualization and Graphics Technical Committee, IEEE Computer Society, retrieved 2024-01-08
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