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SPIN-RSCI: 8642-9795
ORCID: 0000-0003-4920-1623
ResearcherID: D-9569-2014
Scopus AuthorID: 57207456339
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V. V. Podolskii
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Ekaterina Artemova

  • Ekaterina Artemova has been at HSE University since 2010.

Education and Degrees

  • 2016

    Candidate of Sciences* (PhD) in Computer Science

  • 2012

    Master's
    HSE University

  • 2010

    Bachelor's in Mathematical modeling
    HSE University, School of applied mathematics and infromation science

  • Doctoral programme
    HSE 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.

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2013)

Student Term / Thesis Papers

Full list of of student term / thesis papers

Courses (2020/2021)

Courses (2019/2020)

Courses (2018/2019)

Research Problems in Natural Language Processing (Postgraduate course’s programme; Faculty of Computer Science; field of study "09.06.01. Информатика и вычислительная техника", field of study "02.06.01. Компьютерные и информационные науки"; 1 year, 1 semester)Eng

Courses (2017/2018)

Courses (2016/2017)

Courses (2015/2016)

Conferences

  • 2015
    Workshop on Interactions between Data Mining and Natural Language Processing, DMNLP 2015 (Porto). Presentation: Some Thoughts on Using Annotated Suffix Trees for Natural Language Processing.
  • Workshop on Interactions between Data Mining and Natural Language Processing, DMNLP 2015 (Porto). Presentation: Annotated Suffix Tree Similarity Measure for Text Summarization.
  • 2014
    2nd International Conference on Information Technology and Quantitative Management, ITQM 2014 (Москва). Presentation: A Method for Refining a Taxonomy by Using Annotated Suffix Trees and Wikipedia Resources.
  • The 3rd International Conference on Analysis of Images, Social Networks, and Texts (AIST 2014) (Екатеринбург). Presentation: Conceptual Maps: Construction Over a Text Collection and Analysis.

Publications43

Timetable for today

Full timetable

What books to read in lockdown

Self-isolation is a perfect time for starting hobbies, improving personal skills, or just reading a new book. We could help with the last one. Our faculty members and administrative staff gave some recommendations on what to read during the self-isolation

‘Whatever I’m Researching, I Want to Be Able to Put It into Practice’

Md Tahsir Ahmed Munna is a second-year master’s student in Data Science at HSE. He is also one of the international students nominated for HSE’s Silver Nestling Award in 2019. Munna’s master’s thesis focuses on knowledge graph-based recommender systems, and he works as a research assistant at HSE’s Laboratory for Models and Methods of Computational Pragmatics. HSE News Service spoke with Munna about studying Data Science at HSE, working on his thesis, and living in Moscow.

Members of the Faculty Participated in Global Engineering Week at Chitkara University in India

In mid-October, staff members of the Faculty of Computer Science, Sergey Zykov and Ekaterina Chernyak, visited Chitkara University, one of the largest private universities in India. They conducted courses on software life cycles and automated text processing as part of the university’s annual school in engineering.

How Students of the Faculty Spend Their Summer

In July 2015, students of the Faculty of Computer Science finished their exams, but not their studies. This summer they will be having internships in leading IT companies, conducting research at HSE research departments and taking part in summer schools. Students of the faculty will also work as lecturers and assistants at some of the events.

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.