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Regular version of the site
Language Proficiency
English
German
Contacts
Phone:
+7(499) 135-4222 (раб).-ИСА РАН
+7(495) 772-9590 доб. 11018
E-mail:
Timetable
Download CV (PDF, 408 Kb)
SPIN-RSCI: 3010-0536
ORCID: 0000-0002-5329-6234
ResearcherID: J-6457-2015
Scopus AuthorID: 7005282173
Google Scholar
Supervisor
Y. Popkov
Assistant
I. Aleskerova
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Gennady Osipov

  • Gennady Osipov has been at HSE since 2013.

Education, Degrees and Academic Titles

  • 1998
    Professor
  • 1994

    Doctor of Sciences* in Theoretical Foundations of Computer Science

  • 1982

    Candidate of Sciences* (PhD) in Discrete Mathematics and Mathematical Cybernetics

  • 1982
    Postgraduate programme
  • 1972

    Diploma
    Rostov-on-Don State University

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
* Doctor of Sciences
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.

Student Term / Thesis Papers

Full list of of student term / thesis papers

Courses (2016/2017)

Courses (2015/2016)

Courses (2014/2015)

Courses (2013/2014)

Foundations of Artificial Intelligence (Bachelor’s programme; School of Applied Mathematics and Information Science; "Алгоритмика"; field of study "010400.62 Прикладная математика и информатика"; 3 year, 3, 4 module)Rus

Editorial board membership

  • 1994: Executive Editor, Информационные процессы.

  • 1994: Executive Editor, Искусственный интеллект и принятие решений.

  • 1994: Executive Editor, Труды Института системного анализа Российской академии наук.


Publications28

Timetable for today

Full timetable

Faculty of Computer Science to Offer Courses during HSE Summer University

Computer Science programme of the Summer University provides unique opportunities for students from around the world. The programme covers various topics in Computer Science from purely theoretical to applied and practical. Theoretical side of the programme includes both a detailed introduction to the theory of computations and more advanced topics in Artificial Intelligence and Statistical Diagnosis. Practical aspects of the programme are tightly integrated with theoretical material. Participants of the programme will have an opportunity to apply the new knowledge in their own programming experience, for example, in processing of natural languages, creating a distributed computing system or implementing a compiler for a programming language.