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Alexey Neznanov

  • Alexey Neznanov has been at HSE University since 2008.

Education, Degrees and Academic Titles

  • 2011
    Associate Professor
  • 2005

    Candidate of Sciences* (PhD) in Mathematical Support and Software in Computers, Complexes and Computer Networks
    Moscow Power Engineering Institute

  • 2002

    Moscow Power Engineering Institute

  • 2000

    Moscow Power Engineering 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.

Academic and Professional Interests

  • Structural analysis of systems: algebraic and algorithmic aspects. Applied graph theory with an emphasis on symmetry, complexity and similarity of graph models of systems. Effective algorithms for solving problems of structural analysis.
  • Data analysis: Big Data problems, graph mining, text mining, Formal Concept Analysis, formats and protocols of data processing.
  • Medical informatics: clinical informatics, mathematical support of randomized controlled trials, medical information systems.
  • Software engineering: software life cycle and ALM-technologies.
  • Human-machine interaction: design of user interfaces, implementation of graphical user interfaces.

Awards and Accomplishments

Best Teacher – 2020, 2016, 2011

Young Faculty Support Programme (Group of Young Academic Professionals)
Category "Future Professoriate" (2011-2012)
Category "New Lecturers" (2009-2010)

Courses (2023/2024)

Courses (2022/2023)

Data management in intelligent systems (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng

Courses (2021/2022)

Courses (2020/2021)

Courses (2019/2020)

Courses (2018/2019)

Courses (2017/2018)

Human-Computer Interaction Design (Mago-Lego; 3, 4 module)Rus


Employment history

09.2013 – н.в.

International Laboratory for Intelligent Systems and Structural Analysis.

Senior Researcher.

09.2014 – now

School of Data Analysis and Artificial Intelligence, Faculty of Computer Science at National Research University Higher School of Economics.

Associate Professor.

10.2012 – 03.2015

Federal State Budget Institute "Federal Scientific and Clinical Centre of Pediatric Hematology, Oncology and Immunology named after Dmitry Rogachev" Ministry of Health of the Russian Federation.

Head of Information Analytical department.

09.2008 – 08.2014

Department of applied mathematics and informatics at National Research University  Higher School of Economics.

Deputy head of school of applied mathematics and computer science. Assistant Professor. Courses taught: “Workshop on computers”, “Database theory”, “Object-oriented CASE-technologies”, “Distributed systems”, “System and application software”, “Applied graph theory”, etc.

09.2005 – 06.2009

Institute of automatics and computer engineering at MPEI (TU).

Lecturer. Courses taught: “Distributed systems and databases”, “Graph theory and combinatorics”, “Design and analysis of effective algorithms”.

09.2006 –06.2012

Department of innovations and high technology at Moscow Institute of Physics and Technology (MIPT).

Assistant Professor. Courses taught: “Design of machine-user interaction”, “Distributed systems (client/server applications)”.

02.2006 –06.2008

Institute of Technology, Economics and Entrepreneurship at MPEI (TU).

Senior Lecturer. Courses taught: “Organizational change management”.

09.2003 –


Institute of automatics and computer engineering at MPEI (TU).

Research assistant.

05.2000 –


“Firma Perspectiva” Ltd.

Software developer.




Main topics of course works and diplomas

Actual research fields

Mathematical Foundations and Algorithms in Applied Graph Theory.
Data Analysis in Medical Informatics
Educational Data Mining.
Problems in Human-Computer Interaction.

Course works

Algorithms and Software Tools for Ontology-controlled Analysis of Unstructured Data Collections.
Unstructured Data Storages and Applications: Data Formats, Queries, Optimization.
Cloud Technologies and their Application for Intelligent Data Analysis Algorithms Scaling.
External Data Sources Browser for Intermediate Storage of Analytical Software.
Software Tools for Manipulating Open Data and Their Metadata .
Adaptive Algorithms of Randomizing Participants and Monitoring Reviews in Peer Assessment Systems.
Development of Interactive Algorithms of Computationally Hard Problems of Structural Analysis.
Graph Models Similarity Analysis Based on Mathematical Models of Structural Complexity.
Development of Combinatorial Configuration Construction Algorithms Implementations Libraries in Applied Graph Theory.
Development of Specialized Version of Structural Analysis Algorithms for Social Network Analysis.
Implementation and Comparative Analysis of Modern Cheminformatics Algorithms.
Structural Analysis Visualization: Methods and Algorithms.
Free Research Software Tools in the Field of Discrete Mathematics.
Integration of Academic Bibliography Management Systems in Microsoft Office 365.


Text Indexing and Full Text Search: Effective Implementation and Integration in IDS Query Subsystem of the Formal Concept Analysis Research Toolbox (FCART).
The Specialized Ontologies, Metaontologies, and Query Languages of the Formal Concept Analysis Research Toolbox (FCART).
Effective Implementation and Comparative Analysis of Intelligent Data Analysis Algorithms for Object-Attribute  Representation of Data.
Dynamical Data Analysis for Object-Attribute  Representation of Datasets.
Advancing of scripting subsystem of FCART.
Development of Synthetic Analytic Artefacts Generation Subsystem of the Formal Concept Analysis Research Toolbox (FCART).
Development of Integrated Software Environment to Support Conducting of Randomized Clinical Trial.
Software for customizing and visualizing of patient order and similarity in clinical decision  support systems.
Development and simulation of Smart House User Model.
Development and simulation of Smart House Device Model.
Development and simulation of Smart House Controller Model.
Precise and Approximate Solutions for Graph Discrimination Problem: Algorithms and Computational Complexity.
Algorithms and Computational Complexity for Various Kinds of Graph Automorphism Group Generative Sets.
The Graph Covering Problems: Classification, Approaches, Algorithms.
Effective Algorithms for Automatic Line Graph and Their Fragments Diagram Construction.
Visualization of Semantic Networks.
Orthogonal Drawing of Graphs and Digraphs that Contain Vertices with Degree > 4.
Adaptive Graph Drawing Algorithms based on Physical Models.
Graph Drawing Algorithms Taking into Account Fragments Layout Symmetry.
Interactive Algorithms for Transitive Graph Drawing.
Use Case Graph Optimization in Human-Computer Interaction Design.

Timetable for today

Full timetable

I Believe That at HSE University, You Can Grow Bigger

Tharaa Ali, 1st-year PhD student, told us about her life in Russia, IT education, and her research

How to Film Bruce Willis in His Absence: Deepfake Creation and Application

In recent years, advanced technologies for creating deepfake images have made it almost impossible to distinguish them from real photos and videos. Researchers discussed the future development of deepfakes and how to protect yourself from new types of fraud during the round-table discussion ‘Fake News: An Interdisciplinary Approach’ as part of the XXIII Yasin (April) International Academic Conference on Economic and Social Development.

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.

Mathematics to Help Diagnose Cancer

HSE researchers have developed a new mathematical model to predict breast cancer growth and the occurrence of metastases.

Computers to Spot Pedophiles

Concept lattices can help spot pedophiles on the web. Researchers of the HSE's Department of Data Analysis and Artificial Intelligence have helped the Dutch police create a computer program that can detect internet pedophiles and even determine how dangerous they can be.

World Engineering Education Forum

Alexey Neznanov, Associate Professor at the School of Data Analysis and Artificial Intelligence and Olga Maksimenkova, Senior lecturer at the School of Software Engineering, took part in the World Engineering Education Forum that was held on September 20-24 in Florence, Italy. The Forum Programme Committee included the members of IFEES, COPI, EEDS/SEFI, ENAEE, EUCEET, IGIP and other communities engaged in engineering education.