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+7 (495) 772-95-90
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Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S902
SPIN-RSCI: 3208-3161
ORCID: 0000-0002-5484-372X
ResearcherID: D-9852-2014
Scopus AuthorID: 55967196200
Google Scholar
S. Kuznetsov
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Dmitry Ilvovsky

  • Dmitry Ilvovsky has been at HSE University since 2011.

Education and Degrees

  • 2017

    Candidate of Sciences* (PhD)

  • 2010

    Moscow Aviation Institute

* 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.

Courses (2023/2024)

Courses (2022/2023)

Automatic Text Processing (Bachelor’s programme; Faculty of Computer Science; 4 year, 1, 2 module)Rus

Courses (2021/2022)

Courses (2020/2021)

Courses (2019/2020)

Courses (2018/2019)

Courses (2016/2017)

Data Analysis with SAS (Optional course (faculty); Faculty of Computer Science; 3 module)Rus


  • 2016

    Компьютерная лингвистика и интеллектуальные технологии (Диалог 22) (Москва). Presentation: Style and Genre Classification by Means of Deep Textual Parsing

  • Пятнадцатая национальная конференция по искусственному интеллекту с международным участием (КИИ-2016) (Смоленск). Presentation: Discovering disinformation: discourse-level approach
  • 2015
    7th International Joint Conference on Natural Language Processing, ACL 2015 (Beijing). Presentation: News clustering approach based on discourse text structure
  • 4th International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2015, co-located with the International Joint Conference on Artificial Intelligence (IJCAI 2015) (Buenos Aires). Presentation: Pattern structures for news clustering

Dissertation for a degree of Candidate of Science


Timetable for today

Full timetable

Associate Professor of School of Data Analysis and Artificial Intelligence Dmitry Ilvovsky presented his report in an online format at the annual international conference DIALOG

Associate Professor of DADiII Dmitry Ilvovsky spoke online at the annual international conference DIALOGUE which took place on June 17 - 20, 2020 with a plenary report "Dialogue Management Using Extended Discourse Trees". 

How Covid-19 affects students mobility

The coronavirus pandemic has changed every aspect of our life. Cities and towns around the globe are quarantined, borders closed, air traffic halted. Nevertheless, schools and universities keep working, albeit online. Here are the personal stories of two students caught up in the midst of their academic mobility and a German intern locked in Moscow.

13th International Conference on Concept Lattices and Their Applications 

On July 18-22 the 13th International Conference on Concept Lattices and Their Applications was held at HSE. The conference has been organized since 2002. This year it was held in Russia for the first time. The event was organized by the International Laboratory for Intelligent Systems and Structural Analysis and the  School of Data Analysis and Artificial Intelligence of HSE Faculty of Computer Science.

Joint Project with University of Stellenbosch

In the end of November Sergei Kuznetsov, Head of the School of Data Analysis and Artificial Intelligence, and Dmitry Ilvovsky, Junior Research Fellow at the International Laboratory for Intelligent Systems and Structural Analysis visited the University of Stellenbosch in South Africa.

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.