Alexander Lepskiy
- Deputy Director: International Centre of Decision Choice and Analysis
- Professor: Faculty of Economic Sciences / Department of Mathematics
- Alexander Lepskiy has been at HSE University since 2009.
- Language Proficiency
- English
- Contacts
- Phone:
27208 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room T420
- SPIN-RSCI: 8280-4303
- ORCID: 0000-0002-1051-2857
- ResearcherID: G-9010-2015
- Scopus AuthorID: 23976011900
- Google Scholar
- Office hours
- Pokrovsky Boulevard 11, Monday: 14.40, Room Т-420,
- Supervisor
- F. T. Aleskerov
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Education, Degrees and Academic Titles
Southern Federal University
Thesis Title: Probabilistic and possibilistic models of describing uncertainty in the problems of image processing and analysis
Rostov-on-Don State University, Mechanics and Mathematics
Taganrog State Radiotechnical University, Automation and Computer Science
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.
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.
Awards and Accomplishments
Best Teacher — 2016, 2014, 2011–2012
Courses (2024/2025)
- Calculus-1 (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 1, 2 module)Rus
- Calculus-2 (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 3, 4 module)Rus
- Decision Making and Data Analysis under Uncertainty and Ambiguity (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus
- Decision Making and Data Analysis under Uncertainty and Ambiguity (Mago-Lego; 1, 2 module)Rus
- Decision Making in the Problems of Digital Economics under Risk and Uncertainty (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 4 year, 2 module)Rus
- Decision Making in the Problems of Digital Economics under Risk and Uncertainty (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 4 year, 2 module)Rus
- Decision Making in the Problems of Digital Economics under Risk and Uncertainty (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 2 module)Rus
- Decision Making in the Problems of Digital Economics under Risk and Uncertainty (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, Economics; 3 year, 2 module)Rus
- Decision Making in the Problems of Digital Economics under Risk and Uncertainty (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 2 module)Rus
- Decision Making under Risk and Uncertainty (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
- Decision Making under Risk and Uncertainty (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Rus
- Past Courses
Courses (2023/2024)
- Calculus-1 (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 1, 2 module)Rus
- Calculus-2 (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 3, 4 module)Rus
- Decision Making and Data Analysis under Uncertainty and Ambiguity (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus
- Decision Making and Data Analysis under Uncertainty and Ambiguity (Mago-Lego; 1, 2 module)Rus
- Decision Making in the Problems of Digital Economics under Risk and Uncertainty (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 2 module)Rus
- Decision Making in the Problems of Digital Economics under Risk and Uncertainty (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 2 module)Rus
- Quantitative Methods for Management Decisions (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Rus
Courses (2022/2023)
- Calculus (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 1-4 module)Rus
- Decision Making and Data Analysis under Uncertainty and Ambiguity (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus
- Decision Making and Data Analysis under Uncertainty and Ambiguity (Mago-Lego; 1, 2 module)Rus
- Decision Making in the Problems of Digital Economics under Risk and Uncertainty (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 2 module)Rus
- Decision Making in the Problems of Digital Economics under Risk and Uncertainty (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 2 module)Rus
- Special chapters of decision theory (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 4 year, 3 module)Rus
Courses (2021/2022)
- Calculus (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 1-4 module)Rus
- Decision Making and Data Analysis under Uncertainty and Ambiguity (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus
- Decision Making in the Problems of Digital Economics under Risk and Uncertainty (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 2 module)Rus
- Decision Making in the Problems of Digital Economics under Risk and Uncertainty (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 4 year, 2 module)Rus
Courses (2020/2021)
- Calculus (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 1-4 module)Rus
- Decision Making and Data Analysis under Uncertainty and Ambiguity (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus
- Research Project Seminar (Optional course (faculty); Faculty of Economic Sciences; 1-3 module)Rus
Conferences
- 2023
Data Analysis, Optimization and Their Applications (Dolgoprudny, Moscow Region). Presentation: About Some Clustering Algorithms in Evidence Theory
Intelligent and Fuzzy Systems (Стамбул). Presentation: Fuzzy Threshold Aggregation
The Tenth International Conference on Information Technology and Quantitative Management (Оксфорд). Presentation: Evidence-Based Aggregation and Ranking in an Ordinal Scale
- 2022
International Conference on Belief Functions (Париж). Presentation: Cluster Decomposition of the Body of Evidence
International Conference on Information Technology and Quantitative Management (Пекин). Presentation: On Optimal Blurring of Point Expert Estimates and their Aggregation in the Framework of Evidence Theory
- 2021
Belief Functions: Theory and Applications, 6th International Conference, BELIEF 2021 (Shanghai). Presentation: Conflict Measure of Belief Functions with Blurred Focal Elements on the Real Line
- 2020
18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (Lisbon). Presentation: Belief Functions for the Importance Assessment in Multiplex Networks
- 2019
Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019) (Прага). Presentation: Application of Non-additive Measures and Integrals for Analysis of the Importance of Party Positions for Voting
Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019) (Прага). Presentation: Clustering a body of evidence based on conflict measures
7th International Conference on Information Technology and Quantitative Management - ITQM 2019 (Гранада). Presentation: Application of the Belief Function Theory to the Development of Trading Strategies
- 2018
Совместная конференция The BELIEF and SMPS (Soft Methods in Probability and Statistics) conferences (Кoмпьень). Presentation: On the Conflict Measures Agreed with the Combining Rules
- 2017
The 10th conference of the European Society for Fuzzy Logic and Technology, EUSFLAT-2017 (Варшава). Presentation: Aggregation of Forecasts and Recommendations of Financial Analysts in the Framework of Evidence Theory
5th International Conference on Information Technology and Quantitative Management (Нью-Дели). Presentation: Decomposition of Evidence and Internal Conflict
Research interests
- theory of non-additive measure and its application
- imprecise probabilities
- pattern recognition
- image processing and image analyses
- mathematical model of study
Lecture by Professor A. Lepskiy on "Conflict of evidence evaluation within the framework of the theory of belief functions"
On Wednesday, February 21 the all-Russian seminar "Mathematical methods of decision analysis in economics, finance and politics" was held. Professor A. Lepskiy gave a lecture on «Conflict of evidence evaluation within the framework of the theory of the belief functions»