Natalia Andrienko

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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.

Contents

Education and career

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

Andrienko is a coauthor of books including:

Recognition

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

Related Research Articles

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References

  1. 1 2 3 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. 1 2 Professor Natalia Andrienko, City, University of London, retrieved 2024-01-08
  3. Voss, Hans (October 1996), "IRIS generates Thematic Maps", ERCIM News, European Research Consortium for Informatics and Mathematics, vol. 27, 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,
  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