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 since 2012.
Education, Degrees and Academic Titles
- 2002Professor
- 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
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.
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. Antskaitis «Automation of "Tuition Calculation" Business Process Implementing RUNA WFE». Faculty of Economics, Management, and Business Informatics, 2018
A. Popova «Intelligent System Development to Estimate the Suburban Real Cost for Market Patterns Learning». Faculty of Economics, Management, and Business Informatics, 2018
E. Boyarkina «Intellectual Psycho-Diagnostics System Development for Human Abilities Detection». 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
N. Grebnev «Intellectual System Development to Forecast of Probability of Bank Bankruptcy». 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. Ekhlakova «Information Management System Design of Government Programs Perm Krai Governor Administration». Faculty of Economics, Management, and Business Informatics, 2017
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. Neustroev «Methods for Solving the Transport Logistics Problems Based on Graph Models and Evolutionary Computation». Faculty of Economics, Management, and Business Informatics, 2016
Y. Karpenko «Development of a Methodology for Preliminary Cost Valuation of IT-projects». Faculty of Economics, Management, and Business Informatics, 2016
Courses (2018/2019)
- Intelligent Systems (Bachelor’s programme; Faculty of Economics, Management, and Business Informatics; programme "Software Engineering"; 4 year, 1, 2 module)Rus
- Past Courses
Courses (2017/2018)
- Intelligent Systems (Bachelor’s programme; Faculty of Economics, Management, and Business Informatics; programme "Software Engineering"; 4 year, 3 module)Rus
- Intelligent Systems (Bachelor’s programme; Faculty of Economics, Management, and Business Informatics; programme "Business Informatics"; 4 year, 3 module)Rus
- Intelligent Systems (Bachelor’s programme; Faculty of Economics, Management, and Business Informatics; programme "Business Informatics"; 3 year, 3 module)Rus
Courses (2016/2017)
Courses (2015/2016)
- Intelligent Systems (Bachelor’s programme; Faculty of Economics, Management, and Business Informatics; 4 year, 3 module)Rus
- Intelligent Systems (Bachelor’s programme; Faculty of Economics, Management, and Business Informatics; 3 year, 1, 2 module)Rus
Courses (2014/2015)
- Artificial Intelligence Systems (Master’s programme; Faculty of Economics, Management, and Business Informatics; 1 year, 3, 4 module)Rus
- Development and Support of Problem-oriented Systems Technologies (Master’s programme; Faculty of Economics, Management, and Business Informatics; 1 year, 3, 4 module)Eng
- Intelligent Systems (Bachelor’s programme; Faculty of Economics, Management, and Business Informatics; 4 year, 1, 2 module)Rus
- Intelligent Systems (Bachelor’s programme; Faculty of Economics, Management, and Business Informatics; 3 year, 1, 2 module)Rus
Courses (2013/2014)
Courses (2012/2013)
Editorial board membership
2008: Member of the Editorial Board (Журнал ВАК), Нейрокомпьютеры: разработка, применение.
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
- 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)
Publications11
- Book Yasnitsky L. Advances in Intelligent Systems and Computing Vol. 850: Digital Science. Springer Nature Switzerland: Springer, 2019. doi
- 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. Springer Nature 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. Springer Nature 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. Springer Nature 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. Springer Nature 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.
