Andrew Parinov
- Senior Lecturer: Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Chief Expert: Faculty of Computer Science / Centre for Language and Semantic Technologies
- Andrew Parinov has been at HSE University since 2010.
Education
Moscow Power Engineering Institute
Awards and Accomplishments
- Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2015–2016)
Lections and seminars of subjects "General-purpose computing on graphics processing units","High Performance Computing", "Open Data" in 2016-2017 was supported by Microsoft Azure University Grant Program.
Courses (2025/2026)
- Data Base Foundations (Master’s programme; Faculty of Computer Science field of study Sociology; 1 year, 3 module)Rus
- Data Base Foundations (Mago-Lego; Faculty of Computer Science; 3 module)Rus
- Unstructured Data Analysis (Master’s programme; International Laboratory for Applied Network Research field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
- Unstructured Data Analysis (Master’s programme; International Laboratory for Applied Network Research field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
- Unstructured Data Analysis (Mago-Lego; International Laboratory for Applied Network Research; 1, 2 module)Eng
- Past Courses
Courses (2024/2025)
- Data Base Foundations (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 3 module)Rus
- Data Base Foundations (Mago-Lego; 3 module)Rus
Courses (2023/2024)
- Data Base Foundations (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 3 module)Rus
- Data Base Foundations (Mago-Lego; 3 module)Rus
- Digital Analytics of Social Processes (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 1-4 module)Rus
Courses (2022/2023)
- Collection, management and analysis of data on social processes (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 3, 4 module)Rus
- Collection, management and analysis of data on social processes (Mago-Lego; 3, 4 module)Rus
- Data management in intelligent systems (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Eng
- Digital Analytics of Social Processes (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 1-4 module)Rus
- Research Seminar "Sociology of Business Sphere" (Master’s programme; Faculty of Social Sciences field of study Sociology; 2 year, 1-4 module)Rus
Courses (2021/2022)
- Data Engineering in Education (Master’s programme; Institute of Education field of study Public Administration; 2 year, 1, 2 module)Rus
- Data Mining and Machine Learning in Social Sciences (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 3, 4 module)Rus
- Database Theory (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Rus
- Machine Learning with Python (Bachelor’s programme; Faculty of Management (Nizhny Novgorod) field of study Management; 2 year, 2 module)Eng
- Machine Learning with Python (Bachelor’s programme; HSE Graduate School of Business field of study Management; 2 year, 2 module)Eng
Courses (2020/2021)
- Analysis and Visualization of Networks (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 3 module)Eng
- Data Engineering in Education (Master’s programme; Institute of Education field of study Public Administration; 2 year, 1, 2 module)Rus
- Data and Service Engineering for Automating Business Processes (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
- Database Theory (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Rus
Conferences
- 2016
The 13th International Conference on Concept Lattices and Their Applications (CLA2016) (Москва). Presentation: Unified External Data Access Implementation in Formal Concept Analysis Research Toolbox
- 2015
Russian and South African Workshop on Knowledge Discovery Techniques Based on Formal Concept Analysis (RuZA 2015) (Stellenbosch). Presentation: Full-text Search in Intermediate Data Storage of FCART
9th International Symposium on Intelligent Distributed Computing (Guimaraes). Presentation: Distributed Architecture of Data Analysis System based on Formal Concept Analysis Approach
- 2014
The 16th International Conference on Artificial Intelligence: Methodology, Systems, Applications AIMSA 2014 (Варна). Presentation: Analyst Session and Data Access Tools in Formal Concept Analysis Research Toolbox
Technological Breakthrough: Research by AI and Digital Science Institute Recognised at AI Journey 2025
Researchers from the AI and Digital Science Institute (part of the HSE Faculty of Computer Science) presented cutting-edge AI studies, noted for their scientific novelty and practical relevance, at the AI Journey 2025 International Conference. A research project by Maxim Rakhuba, Head of the Laboratory for Matrix and Tensor Methods in Machine Learning, received the AI Leaders 2025 award. Aibek Alanov, Head of the Centre of Deep Learning and Bayesian Methods, was among the finalists.
ANR-Lab Anniversary: a series of celebratory scientific events was held
The International Laboratory for Applied Network Research celebrated its 10th anniversary. In honor of this, a number of events were organized.