Andrey Dmitriev
- Professor:HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) / School of Applied Mathematics
- Leading Research Fellow:Faculty of Computer Science / Big Data and Information Retrieval School / Laboratory of Complex Systems Modeling and Control
- Andrey Dmitriev has been at HSE University 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.
Continuing education / Professional retraining / Internships / Study abroad experience
- Analysis for Business Systems
an online non-credit course authorized by University of Minnesota and offered through Coursera, 04/28/2019
- Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure
an online non-credit course authorized by University of Illinois at Urbana-Champaign and offered through Coursera, 06/29/2018
- Practical Machine Learning
an online non-credit course authorized by Johns Hopkins University and offered through Coursera, 09/25/2018
- Введение в машинное обучение
онлайн-курс, одобренный ВУЗом Higher School of Economics и предлагаемый на Coursera, 14.06.2017
Courses (2022/2023)
- Linear Algebra and Analytical Geometry (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
- Modelling of Systems and Processes (Optional course (faculty); 4 module)Rus
- Stochastic Estimates and Control (Optional course (faculty); 2, 3 module)Rus
- Past Courses
Courses (2021/2022)
- Algebra and Geometry (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 3, 4 module)Rus
- Analysis and Forecasting of Heterogeneous Time Series (Bachelor’s programme; Graduate School of Business; 4 year, 3 module)Rus
- Mathematical modeling of complex systems (Bachelor’s programme; Graduate School of Business; 4 year, 1 module)Rus
- Quantitative Methods for Management Decisions (Bachelor’s programme; Graduate School of Business; 3 year, 4 module)Rus
- Statistics and Data Analisys (Master’s programme; Graduate School of Business; 1 year, 2 module)Rus
Courses (2020/2021)
- Neural Networks and Deep Learning (Bachelor’s programme; Graduate School of Business; 4 year, 2 module)Eng
- Probabilistic and Statistical Management Models (Bachelor’s programme; Graduate School of Business; 2 year, 2, 3 module)Rus
Courses (2019/2020)
- Analysis and Forecasting of Heterogeneous Time Series (Bachelor’s programme; Graduate School of Business; 3 year, 3, 4 module)Rus
- Modeling of Processes and Systems (Bachelor’s programme; Graduate School of Business; 4 year, 1, 2 module)Rus
Courses (2018/2019)
Conferences
- 2022
11th International Conference on Mathematical Modeling in Physical Sciences (Афины). Presentation: Continuum model of an avalanche-like spread of information on Twitter
- 2021
14th Chaotic Modeling and Simulation International Conference (CHAOS 2021) (Афины). Presentation: Detection of Early Warning Signals for Self-Organized Criticality in Cellular Automata
- Modeling and Analysis of Complex Systems and Processes (MACSPro’2021) (Москва). Presentation: Stochastic nonlinear dynamical model for critical transition in Twitter
- 202010th International Conference on Applied Physics and Mathematics (Токио). Presentation: A new spectrum of complexity exponents
- Modeling and Analysis of Complex Systems and Processes (MACSPro’2020) (Венеция). Presentation: Twitter Critical Phases Identification Based on Time Series of Microposts Analysis
- 20199th International Conference on Applied Physics and Mathematics (Бангкок). Presentation: Nonlinear random dynamical model for the stock market
- 9th International Conference on Applied Physics and Mathematics (Бангкок). Presentation: Optimization of pathology diagnosis by applying chaos theory and fractal analysis to EEG-signal processing
- 8th International Conference on Complex Networks and their Applications (Лиссабон). Presentation: Three-Parameter Kinetics of Self-organized Criticality on Twitter
- 2018
7th International Conference on Complex Networks and Their Applications (Кембридж). Presentation: Theoretical Study of Self-organized Phase Transitions in Microblogging Social Networks
- 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
20224
- Chapter Dmitriev A., Lebedev A., Abbas N., Victor Dmitriev. Continuum Model of an Avalanche-Like Spread of Information on Twitter, in: AIP Conference Proceedings 2658 (2022). , 2022. (in press)
- Chapter Dmitriev A., Kazmina A., Dmitriev V., Sanochkin Y., Gradusov E. Detection of Early Warning Signals for Self-organized Criticality in Cellular Automata, in: 14th Chaotic Modeling and Simulation International Conference. Springer, 2022. doi P. 121-133. doi
- Article Dmitriev A., Kornilov V., Dmitriev V., Abbas N. Early Warning Signals for Critical Transitions in Sandpile Cellular Automata // Frontiers in Physics. 2022. Vol. 10. No. 839383. Article 839383. doi
- Article Dmitriev A., Lebedev A., Kornilov V., Dmitriev V. Multifractal Early Warning Signals about Sudden Changes in the Stock Exchange States // Complexity. 2022. Vol. 2022. Article 8177307. doi
20211
20202
- Chapter Dmitriev V., Dmitriev A., Maltseva S. V., Balybin S. Three-Parameter Kinetics of Self-organized Criticality on Twitter, in: Studies in Computational Intelligence (Complex Networks and Their Applications VIII) Vol. 881: Complex Networks and Their Applications VIII. Part 2. Springer, 2020. doi Ch. 881. P. 556-565. doi
- Chapter Dmitriev A., Dmitriev V., Balybin S. Twitter Critical Phases Identification Based on Time Series of Microposts Analysis, in: Proceedings of the Conference on Modeling and Analysis of Complex Systems and Processes 2020 (MACSPro 2020) / Ed. by Alexander Shapoval, V. Popov, I. Makarov. Vol. 2795. CEUR Workshop Proceedings, 2020. Ch. 2795. P. 140-145.
20195
- Chapter Dmitriev A., Silchev V., Dmitriev V. A Simple Econophysics Model of the Stock Market as a Nonequilibrium Open System, in: Lecture Notes in Electrical Engineering Vol. 489: Applied Physics, System Science and Computers II. Springer, 2019. doi P. 237-243. doi
- Chapter Dmitriev A., Kornilov V. Nonlinear random dynamical model for the stock market, in: Journal of Physics: Conference Series Vol. 1298. Issue 1. United Kingdom: Institute of Physics Publishing (IOP), 2019. P. 012009-1-012009-5. doi
- Chapter Kornilov V., Остроухов М. Н., Dmitriev A. Optimization of pathology diagnosis by applying chaos theory and fractal analysis to EEG-signal processing, in: Journal of Physics: Conference Series Vol. 1298. Issue 1. United Kingdom: Institute of Physics Publishing (IOP), 2019. Ch. 1298. P. 012015-1-012015-6. doi
- Article Dmitriev A., Dmitriev V., Balybin S. Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results // Complexity. 2019. Vol. 2019. No. Article ID 8750643. P. 1-16. doi
- Chapter Dmitriev A., Maltseva S. V., Tsukanova O. A., Dmitriev V. Theoretical Study of Self-organized Phase Transitions in Microblogging Social Networks, in: Studies in Computational Intelligence Vol. 813: Complex Networks and Their Applications VII. Part 2. Springer, 2019. doi P. 236-245. doi
20183
- Chapter Dmitriev A., Dmitriev V., Tsukanova O. A., Maltseva S. V. A Nonlinear Dynamical Approach to the Interpretation of Microblogging Network Complexity, in: Studies in Computational Intelligence Vol. 689: Complex Networks & Their Applications VI. Springer, 2018. doi P. 390-400. doi
- Article Dmitriev A., Kornilov V., Maltseva S. V. Complexity of a microblogging social network in the framework of modern nonlinear science // Complexity. 2018. Vol. 2018. No. Article ID 4732491. P. 1-11. doi
- Article Dmitriev V., Dmitriev A. Investigation into the Regular and Chaotic States of Twitter // Discontinuity, Nonlinearity, and Complexity. 2018. Vol. 7. No. 4. P. 403-411. doi
20174
- 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., Silchev V., Dmitriev V., Maltseva S. V. Nonlinear Dynamical Analysis of Twitter Time Series, in: Proceedings of International Work-Conference on Time Series (ITISE 2017) Vol. 2. Granada : Godel Impresiones Digitales S.L., 2017. Ch. 2. P. 1219-1230.
- Chapter Dmitriev A., Dmitriev V., 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., Dmitriev V., 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., Dmitriev V., 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 Dmitriev V., 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 Dmitriev V., 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.