Andrey Dmitriev
- Professor:Faculty of Business and Management / School of Business Informatics / Department of Information Systems and Digital Infrastructure Management
- Programme Academic Supervisor:Business Informatics
- Andrey Dmitriev has been at HSE since 2013.
Education and Degrees
- 2009
Doctor of Sciences* in Biophysics
Lomonosov Moscow State University - 2003
Candidate of Sciences* (PhD) in Biophysics
- 2000
Candidate of Sciences* (PhD) in Physical Chemistry
- 1998
Degree
Lipetsk State Teacher Training 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.
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.
Student Term / Thesis Papers
- Bachelor
V. Godunova «The Application of Current Complexity Theory to the Study of the Evolution of Social Networks». Faculty of Business and Management, 2018
A. Somov «Twitter as a Nonlinear Dynamical System». Faculty of Business and Management, 2018
O. Yaropolov «Credit Risk Prediction with Merton Model Based on Nonlinear SDE». Faculty of Business and Management, 2018
M. Ostroukhov «Optimization of Pathology Diagnosis Business Process by Applying Chaos Theory and Fractal Analysis to EEG-signal Processing». Faculty of Business and Management, 2018
V. Dmitriev «Investigation into the Regular and Chaotic States of Twitter as a Dissipative System». Faculty of Business and Management, 2017
A. Apostolov «Determination of the Bifurcation Point of Dynamical System for Empirical Financial Series with Noise». Faculty of Business and Management, 2017
D. Shumilin «Nonlinear Differential and System Dynamics of the Interacting Companies». Faculty of Business and Management, 2017
E. Sitnikov «Optimization of the Selection of CRM Systems for Customers». Faculty of Business and Management, 2017
R. Khosnetdinov «Correlating Financial Time Series with Micro-blogging Activity». Faculty of Business and Management, 2017
B. Mysiv «Qualitative Characteristics of the Low-dimensional Chaos from Financial Time Series». Faculty of Business and Management, 2017
M. Udalov «Financial Time Series Forecasting with Neural Networks». Faculty of Business and Management, 2017
- Master
P. Kirgintseva «Processing of Large Financial Series During the Management of Immediate and Short-Term Liquidity by the Example of the Bank’s Foreign Currency Position». Faculty of Business and Management, 2016
V. Silchev «Discovery of Dramatic Changes in Characteristics of Financial Data Streams». Faculty of Business and Management, 2016
A. Akireikin «Deterministic Variable in Big Chaotic Financial Series». Faculty of Business and Management, 2016
A. Filipyev «Implementation of Machine Learning Methods into Cloud Systems». Faculty of Business and Management, 2016
D. Shostko «Big Data Orchestration from Logical to Physical Level». Faculty of Business and Management, 2016
A. Barskov «Assessing an impact of continuous monitoring on the effectiveness of FMCG Company’s control environment». Faculty of Business Informatics, 2014
Courses (2018/2019)
- Applied Nonlinear Science (Bachelor’s programme; Faculty of Business and Management; programme "Business Informatics"; 4 year, 3 module)Rus
- Economic and Mathematic Modeling (Master’s programme; Faculty of Business and Management; programme "Big Data Systems"; 1 year, 1 module)Eng
- Past Courses
Courses (2017/2018)
- Applied Data Analysis Problems (Bachelor’s programme; Faculty of Business and Management; programme "Business Informatics"; 3 year, 3 module)Rus
- Economic and Mathematic Modeling (Master’s programme; Faculty of Business and Management; programme "Big Data Systems"; 1 year, 1 module)Eng
- Fractal Analysis of Market Data Using Python (Bachelor’s programme; Faculty of Business and Management; programme "Business Informatics"; 4 year, 2 module)Rus
Courses (2016/2017)
- Applied Machine Learning (Master’s programme; Faculty of Business and Management; 1 year, 3, 4 module)Eng
- Economic and Mathematic Modeling (Master’s programme; Faculty of Business and Management; 1 year, 1 module)Eng
- Modeling of Processes and Systems (Bachelor’s programme; Faculty of Business and Management; 2 year, 3, 4 module)Rus
System Analysis and Organization Design (Master’s programme; Faculty of Business and Management; field of study "38.04.05. Бизнес-информатика", field of study "38.04.05. Бизнес-информатика", field of study "38.04.05. Бизнес-информатика"; 1 year, 1 module)Rus
Courses (2015/2016)
- Applied Machine Learning (Master’s programme; Faculty of Business and Management; 1 year, 3, 4 module)Eng
- Economic and Mathematic Modeling (Master’s programme; Faculty of Business and Management; 1 year, 1 module)Eng
- Regular and Chaotic Models of Economic Systems (Bachelor’s programme; Faculty of Business and Management; 3 year, 3, 4 module)Rus
System Analysis and Organization Design (Master’s programme; Faculty of Business and Management; field of study "38.04.05 Бизнес-информатика", field of study "38.04.05 Бизнес-информатика", field of study "38.04.05 Бизнес-информатика"; 1 year, 1 module)Rus
Courses (2014/2015)
- Applied Machine Learning (Master’s programme; Faculty of Business and Management; 1 year, 3, 4 module)Eng
- Economic and Mathematic Modeling (Master’s programme; Faculty of Business and Management; 1 year, 1 module)Eng
System Analysis and Organization Design (Master’s programme; Faculty of Business and Management; "Information Business Analytics", "Аутсорсинг информационных технологий", "Modeling and Optimization of Business Processes", "Управление информационными системами"; field of study "38.04.05 Бизнес-информатика", field of study "38.04.05 Бизнес-информатика"; 1 year, 1 module)Rus
Conferences
- 2017International work-conference on time series (ITISE 2017) (Гранада). Presentation: Nonlinear Dynamical Analysis of Twitter Time Series
- 2nd International Conference on: Applied Physics, System Science and Computers (Дубровник). Presentation: A Simple Econophysics Model of the Stock Market as a Nonequilibrium Open System
6th International Conference on Complex Networks and Their Applications (Лион). Presentation: A Nonlinear Dynamical Approach to the Interpretation of Microblogging Network Complexity
- 5th International Conference on Information Technology and Quantitative Management (Нью-Дели). Presentation: The Application of Stochastic Bifurcation Theory to the Early Detection of Economic Bubbles
- 5th International Conference on Information Technology and Quantitative Management (Нью-Дели). Presentation: Modeling of Microblogging Social Networks: Dynamical System vs. Random Dynamical System
- 2016Global Conference on Applied Physics and Mathematics (Рим). Presentation: Using singularity points in financial time series for identification of economic downfall
- 18th IEEE Conference on Business Informatics (Париж). Presentation: Network Evolution Modeling under Conditions of Change in the Data Exchange Rate
- 4th International Conference on Complex Dynamical Systems in Life Sciences: Modeling and Analysis (4thICCDS’2016) (Агадир). Presentation: Investigation into the regular and chaotic states of Twitter
- 20152nd International Conference on Advances in Management, Economics and Social Science (Рим). Presentation: The Nonlinear Differential Dynamics of Interdependent Branches of Industry
- 12th International Scientific Conference "European Financial Systems" (Брно). Presentation: Application of the Nonlinear Oscillations Theory to the Study of Non-equilibrium Financial Market
- Third International Conference on Information Technology and Quantitative Management (Рио де Жанейро). Presentation: Double Layer Interval Graph Model: The Universal Tool for Data Driven Market Analysis and Forecasting
- 2014Performance Management: Designing the Hich-Performing Organization (Aarhus). Presentation: Dynamic system crisis’s detecting using big data flow
- Большие Данные в национальной экономике (Москва). Presentation: Предсказательная аналитика на основе потоков Больших Данных
- Global Interdisciplinary Dusiness-Economics Advancement Conference (GIBA) (Clearwater Beach, Florida, USA). Presentation: Crisis Forecasting in Ask and Bid Prices Formation Systems in Case of Precious Metals
20191
20181
20173
- Article Твердислов В. А., Dmitriev A., Sidorova A. Active Media as a Physical Model of Spatiotemporal Self-Organization in the Stock Market // Bulletin of the Russian Academy of Sciences: Physics. 2017. Vol. 81. No. 1. P. 114-120. doi
- Chapter Dmitriev A., Tsukanova O. A., Maltseva S. V. Modeling of Microblogging Social Networks: Dynamical System vs. Random Dynamical System, in: Procedia Computer Science Vol. 122: 5th International Conference on Information Technology and Quantitative Management. Elsevier, 2017. doi P. 812-819. doi
- Chapter Dmitriev A., Дмитриев В. А., Сагайдак О. И., Tsukanova O. A. The Application of Stochastic Bifurcation Theory to the Early Detection of Economic Bubbles, in: Procedia Computer Science Vol. 122: 5th International Conference on Information Technology and Quantitative Management. Elsevier, 2017. doi P. 354-361. doi
20163
- Article Markov N., Дмитриев В. А., Maltseva S. V., Dmitriev A. Application of the Nonlinear Oscillations Theory to the Study of Non-equilibrium Financial Market // Financial Assets and Investing. 2016. Vol. 7. No. 3. P. 5-19. doi
- Chapter Dmitriev A., Tsukanova O. A., Maltseva S. V. Investigation into the Regular and Chaotic States of Microblogging Networks as Applied to Social Media Monitoring, in: IEEE 13th International Conference on e-Business Engineering. IEEE, 2016. P. 293-298. doi
- Chapter Tsukanova O. A., Dmitriev A., Maltseva S. V. Network Evolution Modeling under Conditions of Change in the Data Exchange Rate, in: IEEE 18th Conference on Business Informatics Vol. 2: Short and Workshop Papers. IEEE, 2016. P. 68-71. doi
20155
- Chapter Markov N., Дмитриев В. А., Maltseva S. V., Dmitriev A. Application of the Nonlinear Oscillations Theory to the Study of Non-equilibrium Financial Market, in: European Financial Systems 2015. Proceedings of the 12th International Scientific Conference. Brno : Masarykova univerzita, 2015. P. 375-381.
- Article Markov N., Dmitriev A., Maltseva S. V. Double Layer Interval Graph Model: The Universal Tool for Data Driven Market Analysis and Forecasting // Procedia Computer Science. 2015. Vol. 55. P. 1165-1173. doi
- Chapter Markov N., Dmitriev A., Maltseva S. V. Double layer interval graph model: The universal tool for data driven market analysis and forecasting, in: Procedia Computer Science. 3rd International Conference on Information Technology and Quantitative Management, ITQM 2015 Vol. Volume 55. Amsterdam : Elsevier, 2015. P. 1165-1173.
- Article Дмитриев В. А., Dmitriev A., Maltseva S. V. The Nonlinear Differential Dynamics of Interdependent Branches of Industry // International Journal of Business and Management Study. 2015. Vol. 2. No. 2. P. 113-117.
- Chapter Дмитриев В. А., Maltseva S. V., Dmitriev A. The Nonlinear Differential Dynamics of Interdependent Branches of Industry, in: Proceedings of 2nd International Conference on Advances in Management, Economics and Social Science. NY : Institute of Research engineers and Doctors, 2015. P. 34-38. doi
20143
- Chapter Dmitriev A., Maltseva S. V., Markov N. Crisis Forecasting in Ask and Bid Prices Formation Systems in Case of Precious Metals, in: Global Interdisciplinary Business-Economics Advancement Conference. Conference Proceeding. Sarasota : University of South Florida Sarasota-Manatee, 2014. P. 11-18.
- Chapter Dmitriev A., Maltseva S. V., Markov N. Crisis Forecasting in Ask and Bid Prices Formation Systems in Case of Precious Metals, in: Global Interdisciplinary Business-Economics Advancement Conference. Conference Proceeding. Sarasota : University of South Florida Sarasota-Manatee, 2014. Ch. 1. P. 11-18.
- Chapter Maltseva S. V., Dmitriev A. Dynamic system crisis’s detecting using big data flow, in: Performance Management: Designing the High-Performing Organization. Conference Proceding. Aarhus : Aarhus University, 2014. P. 192-201.
20063
- Article Dmitriev A., Tverdislov V. A., Isaev P. P. Effect of isomerization of amino acid residues on the structure of aquaporin // Journal of Structural Chemistry. 2006. Vol. 47. No. 3. P. 567-569.
- Article Dmitriev A., Tverdislov V. A. Energy distribution and ion selectivity of the bacterial potassium channel // Biofizika. 2006. Vol. 51. No. 4. P. 624-628.
- Article Dmitriev A., Tverdislov V. A. Separation of long-and short-range interactions in calculations of energy distribution of ions in membrane channels // Journal of Structural Chemistry. 2006. Vol. 47. No. 2. P. 241-246.
20052
- Article Dmitriev A., Tverdislov V. A. About using the approximate fields to calculate the electrostatic potential distribution of membrane channels // Journal of Structural Chemistry. 2005. Vol. 46. No. 5. P. 624-628.
- Chapter Dmitriev A., Baryshnikov V., Markov I., Tverdislov V. Band and point statistical estimation of channelforming polypeptides potential, in: Progress in Chemomitrics Research. Band and Point Statistic Estimation of Channelforming polypeptides potential. NY : Nova Science Publishers, 2005. P. 30-45.
20041
20022
- Article Dmitriev A., Isaev P. P., Isaeva G. A. Energy Levels and Wave Functions of an Ion in Gramicidin Channels // Biofizika. 2002. Vol. 47. No. 5. P. 864-868.
- Article Isaeva G. A., Dmitriev A., Isaev P. P. Interaction of Local Anesthetics with Model Ion Channels // Biofizika. 2002. Vol. 47. No. 3. P. 506-511.
20012
- Article Isaeva G. A., Dmitriev A., Isaev P. P. Effect of the Basis on the Accuracy of Dipole Moment Estimation for Acetanilide // Journal of Structural Chemistry. 2001. Vol. 42. No. 6. P. 1222-1225.
- Article Isaeva G. A., Dmitriev A., Isaev P. P. QSAR Relationships for the Anesthetic Activity of Acetanilides Analyzed by Regression and Quantum-Chemical Methods // Pharmaceutical Chemistry Journal. 2001. Vol. 35. No. 6. P. 54-66.
