Leonid Yasnitsky

Professor:HSE Campus in Perm / Faculty of Economics, Management, and Business Informatics / Department of Information Technologies in Business

Leonid Yasnitsky has been at HSE University since 2012.

Education, Degrees and Academic Titles

2002
Professor
1997
Doctor of Sciences* in Mathematical Modelling, Numerical Methods and Software Complexes
Moscow Institute of Electronics and Mathematics
1973
Degree in Dynamics and Strength of Machines
Perm Polytechnic Institute, Faculty of aircraft engines
Candidate of Sciences* (PhD) in Metallurgy of Black, Colour and Rare Metals

* 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.

* Doctor of Sciences
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.

Continuing education / Professional retraining / Internships / Study abroad experience

In 2017, he received a Certificate of professional development No. 592405922742 in that he was trained in the Perm state humanitarian and pedagogical University UNDER the program "Tools and services for automation of educational process management" in the amount of 36 hours.

In 2018, he received a Certificate of advanced training No. 118601 of the higher school of Economics in THAT he was trained in the advanced training program "technology engineering" in the disciplines of Data Culture in the amount of 36 hours.

In 2019, he received a Diploma of professional retraining of the KR No. 003998 Of the regional Institute of continuing education of the Perm state University under the program Fundamental mathematics, Informatics and information and communication technologies in the period from 12.11.2018 to 30.06.2019 with the assignment of a new qualification " Specialist in mathematics, Informatics and information and communication technologies. Educator". Labor-intensive program 768 hours.

Certificate of professional development 592405922742

Short-term professional development program programme on Tools and Services to Automate Management of Educational Process (36 contact hours) at the Perm State Humanities and Pedagogy University (March 27, 2017 to October 16, 2017)

Student Term / Thesis Papers

Bachelor
A. Kokovin, Development of a Software System for a Neural Net-work Study of the Phenomenon of Depression. Faculty of Economics, Management, and Business Informatics, 2020
I. Nurullin, Development of an Intellectual System for the Valuation of Residential Real Estate in Cities of the Russian Federation. Faculty of Economics, Management, and Business Informatics, 2020
O. Reutova, Implementation of System for Monitoring Key Indicators of Business Processes for Customer Service. Faculty of Economics, Management, and Business Informatics, 2020
D. Bolotov, Development of Online Platform for Organization and Information Support of Dog Sledding Competitions. Faculty of Economics, Management, and Business Informatics, 2020
M. Ivanova, Neural Network Expert System Development for Landscape Design. Faculty of Economics, Management, and Business Informatics, 2020
A. Popova, Intelligent System Development to Estimate the Suburban Real Cost for Market Patterns Learning. Faculty of Economics, Management, and Business Informatics, 2018
A. Antskaitis, Automation of "Tuition Calculation" Business Process Implementing RUNA WFE. Faculty of Economics, Management, and Business Informatics, 2018
N. Grebnev, Intellectual System Development to Forecast of Probability of Bank Bankruptcy. Faculty of Economics, Management, and Business Informatics, 2017
V. Sayfutdinova, Development of Intelligent System to Diagnose and Predict Socially Significant Diseases. Faculty of Economics, Management, and Business Informatics, 2017
E. Boyarkina, Intellectual Psycho-Diagnostics System Development for Human Abilities Detection. Faculty of Economics, Management, and Business Informatics, 2017
E. Vandysheva, Development of Intelligent System for Predicting Outcomes of Sport Competitions. Faculty of Economics, Management, and Business Informatics, 2017
I. Ly'sova, Building Prediction Models for Car Evaluation. Faculty of Economics, Management, and Business Informatics, 2014
Master
A. Bakharev, Evaluation of Alcohol Consumption Regulation Measures Effectiveness in Russia. Faculty of Economics, Management, and Business Informatics, 2020
E. Dzhemadinov, Text Mining of Semantic Keywords Associated with a Target Text Feature. Faculty of Economics, Management, and Business Informatics, 2019
A. Smirnov, MVP Architecture Modification by Implementing "Coordinator" Pattern. Faculty of Economics, Management, and Business Informatics, 2019
D. Piankov, Smart Contract-Based Housing and Communal Services Payment Information Management System Development. Faculty of Economics, Management, and Business Informatics, 2019
N. Eronina, The Development of Algorithms for the Smart Building Cyber Physical Systems Progress due to the Digital Twin. Faculty of Economics, Management, and Business Informatics, 2019
E. Gordeeva, Development of Methods for Improving Statistical Data Collection System in Rosstat (on the Example of Trade and Services Statistics Department). Faculty of Economics, Management, and Business Informatics, 2017
A. Ekhlakova, Information Management System Design of Government Programs Perm Krai Governor Administration. Faculty of Economics, Management, and Business Informatics, 2017
Y. Karpenko, Development of a Methodology for Preliminary Cost Valuation of IT-projects. Faculty of Economics, Management, and Business Informatics, 2016
A. Neustroev, Methods for Solving the Transport Logistics Problems Based on Graph Models and Evolutionary Computation. Faculty of Economics, Management, and Business Informatics, 2016

Full list of of student term / thesis papers

Editorial board membership

2008: Member of the Editorial Board (Журнал ВАК), Нейрокомпьютеры: разработка, применение.
1989: Member of the Editorial Board ((Журнал ВАК)), Прикладная математика и вопросы управления.

Grants

Grant of RFBR 19-010-00307 "Development of intellectual self-adaptive system of mass valuation and scenario forecasting of the market value of residential real estate in the regions of the Russian Federation".

Conferences

2019
ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В РЕШЕНИИ АКТУАЛЬНЫХ СОЦИАЛЬНЫХ И ЭКОНОМИЧЕСКИХ ПРОБЛЕМ ХХI ВЕКА (Пермь). Presentation: О НАУЧНОМ ПРИОРИТЕТЕ ПЕРМСКИХ УЧЕНЫХ В ОБЛАСТИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА1
Integrated Science in Digital Age. ICIS 2019 (Батуми). Presentation: Whether Be New “Winter” of Artificial Intelligence?
Integrated Science in Digital Age. ICIS 2019 (Батуми). Presentation: Intelligent System for Prediction Box Office of the Film
2018
The 2018 International Conference on Digital Science (DSIC’18) (Будва). Presentation: Self-adaptive Intelligent System for Mass Evaluation of Real Estate Market in Cities
Поучительное прошлое, блестящее настоящее и сомнительное будущее искусственного интеллекта (Пленарный доклад) (Пермь). Presentation: Поучительное прошлое, блестящее настоящее и сомнительное будущее искусственного интеллекта (Пленарный доклад)
2016
Искусственный интеллект в решении актуальных социальных и экономических проблем XXI века (Пермь). Presentation: Искусственный интеллект в Перми и Пермском университете: история, успехи, проблемы, перспективы (Пленарный доклад)

Publications¹⁰

Chapter Seletkov I., Yasnitsky L. Application of Matrix Fuzzy Logic in Machine Independent Temperature Controller, in: Advances in Intelligent Systems and Computing Vol. 850: Digital Science. Switzerland : Springer, 2019. doi P. 443-449. doi
Chapter Yasnitsky L., Dumler A., Cherepanov F. Dynamic Artificial Neural Networks as Basis for Medicine Revolution, in: Advances in Intelligent Systems and Computing Vol. 850: Digital Science. Switzerland : Springer, 2019. doi P. 351-358. doi
Chapter Khlinova O., Yasnitsky L., Skachkova I. Neural Network System for Medical Diagnostic of Gastrointestinal Diseases, in: Advances in Intelligent Systems and Computing Vol. 850: Digital Science. Switzerland : Springer, 2019. doi P. 359-365. doi
Chapter Alexeev A., Alexeeva I., Yasnitsky L. Self-adaptive Intelligent System for Mass Evaluation of Real Estate Market in Cities, in: Advances in Intelligent Systems and Computing Vol. 850: Digital Science. Switzerland : Springer, 2019. doi P. 81-87. doi
Article Yasnitsky L., Dumler A., Cherepanov F. The Capabilities of Artificial Intelligence to Simulate the Emergence and Development of Diseases, Optimize Prevention and Treatment Thereof, and Identify New Medical Knowledge // Journal of Pharmaceutical Sciences and Research. 2018. Vol. 10(9). P. 2192-2200.
Article Yasnitsky L., Белобородова Н. О., Медведева Е. Ю. The Method for Forecasting Box-Office Grosses of Movies with Neural Network / Пер. с рус. // Digest Finance. 2017. Vol. 22. No. 3. P. 298-309. doi
Article Yasnitsky L., Yasnitsky V. L. Technique of Design for Integrated Economic and Mathematical Model for Mass Appraisal of Real Estate Property. Study Case of Yekaterinburg Housing Market // Journal of Applied Economic Sciences. 2016. Vol. XI. No. 8(46). P. 1519-1530.
Article Yasnitsky L., Dumler A. A., Poleshuk A. N., Bogdanov K. V., Cherepanov F. M. Diagnostics and Prediction of Cardiovascular Disease Progression // Biology and Medicine. 2015. No. 7
Article Yasnitsky L., Vauleva S. V., Safonova D. N., Cherepanov F. M. The use of artificial intelligence methods in the analysis of serial killers’ personal characteristics / Пер. с рус. // Russian journal of criminology. 2015. No. 9. P. 423-430.
Article Yasnitsky L., Dumler A. A., Bogdanov K. V., Poleshuk A. N., Cherepanov F. M., Makurina T. V., Chugainov S. V. Diagnosis and Prognosis of Cardiovascular Diseases on the Basis of Neural Networks // Biomedical Engineering. 2013. Vol. 47. No. 3. P. 160-163.

PhD thesis is defended

In 2019, she defended her PhD thesis in the specialty 05.13.01.

Title of the dissertation: "METHODS for IMPROVING the EFFICIENCY of NEURAL network RECOMMENDATION SYSTEMS IN conditions of LIMITED SAMPLE VOLUMES with COMPLEX CORRELATIONS".

Author: F. M. Cherepanov

Scientific supervisor: Yasnitsky L. N.

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