PeopleofSuperintelligence

Researcher

Igor B. Gurevich

Also known as Игорь Борисович Гуревич, Igor Gurevich

Igor B. Gurevich is a Moscow researcher in the mathematical theory of image analysis and recognition, a field that automates the extraction of information from images to support decisions such as diagnosis and detection. He presented a descriptive framework for image recognition in 1989, coauthored image algebra work with Yury Zhuravlev in 2002, and made the Descriptive Approach to Image Analysis the main instrument of his research, including image mining papers with Vera Yashina in 2010 and 2015. The International Association for Pattern Recognition named him a Fellow in 2004 for contributions to mathematical theory of image analysis and recognition and for service to IAPR. Today he is deputy editor-in-chief of the journal Pattern Recognition and Image Analysis at the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, and in August 2026 he presented eye fundus analysis work at the IMTA X workshop, which he co-chairs.

Timeline

  1. 1989

    The descriptive framework paper

    He presents "The Descriptive Framework for an Image Recognition Problem" at the 6th Scandinavian Conference on Image Analysis in Oulu in June 1989.

  2. October 1998

    Technical chair of PRIA-4-98

    In October 1998, he serves as technical chairman of PRIA-4-98, the 4th Russian conference on pattern recognition and image analysis, held in Novosibirsk with Yury Zhuravlev as conference chairman. He represents the Scientific Council "Cybernetics" of the Russian Academy of Sciences.

  3. 2002

    An image algebra with Zhuravlev

    With Yury Zhuravlev, he coauthors "An Image Algebra Accepting Image Models and Image Transforms", presented at the Vision, Modeling, and Visualization workshop in Erlangen, Germany, in November 2002.

  4. 2004

    An IAPR Fellowship

    The International Association for Pattern Recognition names him a Fellow in 2004 for contributions to mathematical theory of image analysis and recognition, and for service to IAPR.

  5. 2007

    Descriptive techniques at VISAPP

    At the VISAPP 2007 conference, he presents "The Descriptive Techniques for Image Analysis and Recognition", which sets automated image mining as the final goal of his research. Its main instrument is the Descriptive Approach to Image Analysis, which standardizes how image recognition problems and procedures are represented.

  6. 2010–2015

    Image mining papers with Yashina

    With Vera Yashina, he introduces the Image Formalization Space at the third Image Mining Theory and Applications (IMTA) workshop in 2010. At IMTA-5 in 2015, they present research at the Dorodnicyn Computing Centre of the Russian Academy of Sciences in Moscow that aims to automate the extraction of information from images to make intelligent decisions such as diagnostics and detection.

  7. August 2026

    Co-chairing IMTA X

    He co-chairs the IMTA workshop with Davide Moroni, Bernd Radig and Vera Yashina. At IMTA X in August 2026, he and Yashina present two papers, including one with Adil Tleubaev on automated analysis of the human eye fundus from optical coherence tomography angiography data.

  8. As of October 2026

    Deputy editor of PRIA

    As of October 2026, he is deputy editor-in-chief of the journal Pattern Recognition and Image Analysis, edited by Igor A. Sokolov. He holds a Dr. Sci. (Eng.) and works at the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences in Moscow.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

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  1. The Descriptive Techniques for Image Analysis and Recognition (SciTePress) scitepress.org. Checked 19 October 2026.
  2. Conference Information: PRIA-4-98 conferences.visionbib.com. Checked 19 October 2026.
  3. Chronological List of IAPR Fellows – International Association for Pattern Recognition iapr.org. Checked 19 October 2026.
  4. Image Formalization via Descriptive Image Algebras (SciTePress) scitepress.org. Checked 19 October 2026.
  5. On Image Representing in Image Analysis (SciTePress) scitepress.org. Checked 19 October 2026.
  6. Committee – IMTA X imta.isti.cnr.it. Checked 19 October 2026.
  7. Program – IMTA X imta.isti.cnr.it. Checked 19 October 2026.
  8. Pattern Recognition and Image Analysis – Editorial Board pleiades.online. Checked 19 October 2026.