Alexey Neznanov
- Associate Professor: Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Alexey Neznanov has been at HSE University since 2008.
Education, Degrees and Academic Titles
Moscow Power Engineering Institute
Moscow Power Engineering Institute
Moscow Power Engineering Institute
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 (2024/2025)
- Database Design (Master’s programme; Faculty of Social Sciences; 2 year, 2 module)Rus
- Database Design (Mago-Lego; 2 module)Rus
- Past Courses
Courses (2023/2024)
- Database Design (Master’s programme; Faculty of Social Sciences; 2 year, 2 module)Rus
Courses (2022/2023)
- Data management in intelligent systems (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
Courses (2021/2022)
- Data and Service Engineering for Automating Business Processes (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng
- Database Theory (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Knowledge Management and Adaptive Learning Systems (Master’s programme; Institute of Education; 2 year, 1, 2 module)Rus
- Research Seminar "Sociology of Business Sphere" (Master’s programme; Faculty of Social Sciences; 1 year, 1-4 module)Rus
Courses (2020/2021)
- Analysis and Visualization of Networks (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Eng
- Data Base Foundations (Optional course (faculty); Faculty of Creative Industries; 2 module)Rus
- Data and Service Engineering for Automating Business Processes (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng
- Database Theory (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Educational Data Mining and Learning Analitics (Master’s programme; Institute of Education; 1 year, 2, 3 module)Rus
- Knowledge Management and Adaptive Learning Systems (Master’s programme; Institute of Education; 2 year, 1, 2 module)Rus
Supervisor of the following Doctoral theses
- 1E. Tyuryumina A personalised mathematical growth model of primary tumor and secondary distant metastases with different growth rates in patients with breast cancer, 1900
- 2E. Beresneva Methods and software for formative feedback and adaptive interventions in personalized learning systems
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 – 08.2005 |
Institute of automatics and computer engineering at MPEI (TU). Research assistant. |
|
05.2000 – 08.2005 |
“Firma Perspectiva” Ltd. Software developer. |
Main topics of course works and diplomas
№ |
Actual research fields |
|
1
|
Mathematical Foundations and Algorithms in Applied Graph Theory.
|
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2
|
Data Analysis in Medical Informatics
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3
|
Educational Data Mining.
|
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4
|
Problems in Human-Computer Interaction.
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№ |
Course works |
|
1
|
Algorithms and Software Tools for Ontology-controlled Analysis of Unstructured Data Collections.
|
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2
|
Unstructured Data Storages and Applications: Data Formats, Queries, Optimization.
|
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3
|
Cloud Technologies and their Application for Intelligent Data Analysis Algorithms Scaling.
|
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4
|
External Data Sources Browser for Intermediate Storage of Analytical Software.
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5
|
Software Tools for Manipulating Open Data and Their Metadata .
|
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6
|
Adaptive Algorithms of Randomizing Participants and Monitoring Reviews in Peer Assessment Systems.
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7
|
Development of Interactive Algorithms of Computationally Hard Problems of Structural Analysis.
|
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8
|
Graph Models Similarity Analysis Based on Mathematical Models of Structural Complexity.
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9
|
Development of Combinatorial Configuration Construction Algorithms Implementations Libraries in Applied Graph Theory.
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10
|
Development of Specialized Version of Structural Analysis Algorithms for Social Network Analysis.
|
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11
|
Implementation and Comparative Analysis of Modern Cheminformatics Algorithms.
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12
|
Structural Analysis Visualization: Methods and Algorithms.
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13
|
Free Research Software Tools in the Field of Discrete Mathematics.
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14
|
Integration of Academic Bibliography Management Systems in Microsoft Office 365.
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№ |
Diplomas |
|
1
|
Text Indexing and Full Text Search: Effective Implementation and Integration in IDS Query Subsystem of the Formal Concept Analysis Research Toolbox (FCART).
|
|
2
|
The Specialized Ontologies, Metaontologies, and Query Languages of the Formal Concept Analysis Research Toolbox (FCART).
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3
|
Effective Implementation and Comparative Analysis of Intelligent Data Analysis Algorithms for Object-Attribute Representation of Data.
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4
|
Dynamical Data Analysis for Object-Attribute Representation of Datasets.
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5
|
Advancing of scripting subsystem of FCART.
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6
|
Development of Synthetic Analytic Artefacts Generation Subsystem of the Formal Concept Analysis Research Toolbox (FCART).
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7
|
Development of Integrated Software Environment to Support Conducting of Randomized Clinical Trial.
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8
|
Software for customizing and visualizing of patient order and similarity in clinical decision support systems.
|
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9
|
Development and simulation of Smart House User Model.
|
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10
|
Development and simulation of Smart House Device Model.
|
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11
|
Development and simulation of Smart House Controller Model.
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12
|
Precise and Approximate Solutions for Graph Discrimination Problem: Algorithms and Computational Complexity.
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13
|
Algorithms and Computational Complexity for Various Kinds of Graph Automorphism Group Generative Sets.
|
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14
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The Graph Covering Problems: Classification, Approaches, Algorithms.
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15
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Effective Algorithms for Automatic Line Graph and Their Fragments Diagram Construction.
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16
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Visualization of Semantic Networks.
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17
|
Orthogonal Drawing of Graphs and Digraphs that Contain Vertices with Degree > 4.
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18
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Adaptive Graph Drawing Algorithms based on Physical Models.
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19
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Graph Drawing Algorithms Taking into Account Fragments Layout Symmetry.
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20
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Interactive Algorithms for Transitive Graph Drawing.
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21
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Use Case Graph Optimization in Human-Computer Interaction Design.
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‘You Need to Know a Lot of Ideas and Algorithms, Come Up with Something Unconventional’
A student of the HSE Faculty of Computer Science, Andrey Kuznetsov, has become the winner of the 2024 Data Fusion Contest. He took first place in solving geoanalytics tasks, and also won the special ‘Companion’ category. The competition took place as part of the 2024 Data Fusion conference on big data and AI technologies. Researchers from HSE University presented the results of their work and demonstrated applied developments at the conference.
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.