Difference between revisions of "Vadim"
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| − | + | # Numerical methods of sufficient sample size estimation for generalised linear models (2022) ''Lobachevskii Journal of Mathematics'' by Grabovoy A.V., Gadaev T.S., Motrenko A.P., Strijov-Vadim | |
| − | + | # Prior distribution selection for a mixture of experts (2021) ''Computational Mathematics and Mathematical Physics'' by Grabovoy A.V., Strijov-Vadim [https://doi.org/10.1134/S0965542521070071 DOI] | |
| − | + | # Disconnected graph neural network for atom mapping in chemical reactions ( 2020) ''Physical Chemistry Chemical Physics'' by Nikitin F., Isayev O., Strijov-Vadim [https://doi.org/10.1039/D0CP04748A DOI] | |
| − | + | # Quasi-periodic time series clustering for human activity recognition (2020) ''Lobachevskii Journal of Mathematics'' by Grabovoy A.V., Strijov-Vadim [https://doi.org/10.1134/S1995080220030075 DOI] | |
| − | + | # Hierarchical thematic classification of major conference proceedings (2020) ''CICLing'' by Kuzmin A.A., Aduenko A.A., Strijov-Vadim [http://strijov.com/papers/Kuzmin2017HierarchicalThematic.pdf URL] | |
| − | + | # Comprehensive analysis of gradient-based hyperparameter optimisation algorithms (2019) ''Annals of Operations Research'' by Bakhteev O.Y., Strijov-Vadim [https://doi.org/10.1007/s10479-019-03286-z DOI] | |
| − | + | # Object selection in credit scoring using covariance matrix of parameters estimations (2018) ''Annals of Operations Research'' by Aduenko A.A., Motrenko A.P., Strijov-Vadim [https://doi.org/10.1007/s10479-017-2417-3 DOI] | |
| − | + | # Deep learning model selection of suboptimal complexity (2018) ''Automation and Remote Control'' by Bakhteev O.Y., Strijov-Vadim [https://dx.doi.org/10.1134/S000511791808009X DOI] | |
| − | + | # Quadratic programming optimisation with feature selection for non-linear models 2018 ''Lobachevskii Journal of Mathematics'' by Isachenko R.V., Strijov-Vadim [https://doi.org/10.1134/S199508021809010X DOI] | |
| − | + | # Multi-way feature selection for ECoG-based brain-computer interface (2018) ''Expert Systems with Applications'' by Motrenko A.P., Strijov-Vadim [https://doi.org/10.1016/j.eswa.2018.06.054 DOI] | |
| − | + | # Time series forecasting using RNNs: an extended attention mechanism to model periods and handle missing values (2017) ''ICONIP 2017'' by Cinar Y.G., Mirisaee H., Goswami P., Gaussier E., Ait-Bachir A., Strijov-Vadim [https://arxiv.org/pdf/1703.10089.pdf URL] | |
| − | + | # Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria (2017) ''Expert Systems with Applications'' by Katrutsa A.M., Strijov-Vadim [https://doi.org/10.1016/j.eswa.2017.01.048 DOI] | |
| − | + | # Generation of simple structured Information Retrieval functions by genetic algorithm without stagnation (2017) ''Expert Systems with Applications'' by Kulunchakov A.S., Strijov-Vadim [https://doi.org/10.1016/j.eswa.2017.05.019 DOI] | |
| − | + | # Extracting fundamental periods to segment human motion time series (2016) ''IEEE Journal of Biomedical and Health Informatics'' by Motrenko A.P., Strijov-Vadim [https://doi.org/10.1109/JBHI.2015.2466440 DOI] | |
| − | + | # Analytic and stochastic methods of structure parameter estimation (2016) ''Informatica'' by Kuznetsov M.P., Tokmakova A.A., Strijov-Vadim [https://dx.doi.org/10.15388/Informatica.2016.102 DOI] | |
| − | + | # Stress-test procedure for feature selection algorithms (2015) ''Chemometrics and Intelligent Laboratory Systems'' by Katrutsa A.M., Strijov-Vadim[https://doi.org/10.1016/j.chemolab.2015.01.018 DOI] | |
| − | + | # Ordinal classification using Pareto fronts (2015) ''Expert Systems with Applications'' by Stenina M.M., Kuznetsov M.P., Strijov-Vadim [https://doi.org/10.1016/j.eswa.2015.03.021 DOI] | |
| − | + | # Supervised topic classification for modeling a hierarchical conference structure (2015) ''in S. Arik et al. (Eds.): International conference on neural information processing, Part 1, LNCS NIPS'' by Kuznetsov M.P., Clausel M., Amini M.-R., Gaussier E., Strijov-Vadim [https://doi.org/10.1007/978-3-319-26532-2_11 DOI] | |
| − | + | # Editorial of the special issue data analysis and intelligent optimization with applications (2015) ''Machine Learning'' 101(1-3): 1-4 by Strijov-Vadim, Weber G.W., Weber R., Sureyya O.A. [https://doi.org/10.1007/s10994-015-5523-y DOI] | |
| − | + | # Methods of expert estimations concordance for integral quality estimation (2014) ''Expert Systems with Applications'' by Kuznetsov M.P., Strijov-Vadim [https://doi.org/10.1016/j.eswa.2013.08.095 DOI] | |
| − | + | # Bayesian sample size estimation for logistic regression (2014) ''Journal of Computational and Applied Mathematics'' by Motrenko A.P., Strijov-Vadim, Weber G.W. [https://doi.org/10.1016/j.cam.2013.06.031 DOI] | |
| − | + | # Evidence optimisation for consequently generated models (2013) ''Mathematical and Computer Modelling'' by Strijov-Vadim, Krymova E.A., Weber G.W. [https://doi.org/10.1016/j.mcm.2011.02.017 DOI] | |
| − | + | # Integral indicator of ecological impact of the Croatian thermal power plants (2011) ''Energy'' by Strijov-Vadim, Granic G., Juric J., Jelavic B., Maricic S.A. [https://doi.org/10.1016/j.energy.2011.04.030 DOI] | |
Revision as of 21:56, 28 September 2022
Vadim is a Doctor of Sciences in Physics and Mathematics, a professor at the Moscow Institute of Physics and Technology.
Contents
Fields of research
- AI, Machine Learning and Data Analysis, Deep Learning
- Functional and Geometric Learning, Physics-Informed learning
- Behavioural Analysis and Brain-Computer Wearable Interfaces
Activities
Makes long-term planning of applied and theoretical research. Leads and runs research projects in the field of AI: states problems, connects researchers and programmers, delivers projects to implementation and publications
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Duties
- 2004–2022 Doctor of physico-mathematical sciences, Principal investigator at the Computing Center of the Russian Academy of Sciences
- 2010–2022 Professor, chief of department at the Moscow Institute of Physics and Technology
- 2019–2022 Chief scientist of the Laboratory of Machine Intelligence at MIPT
- 2006 Consultant on human behaviour analysis projects at Forecsys Ltd
- 2015-2022 Chair of the MS thesis committee at the Skolkovo Institute of Science and Technology
- 2015-2022 Chair of the BS thesis committees at the University Higher School of Economics
- 2011–2019 Editor in chief of the Journal of Machine Learning and Data Analysis
Teaching courses
- Automation Research in Machine Learning – My First Scientific Paper: each year this course delivers over 30 supervised student projects and publications
- Signal and Functional Data Analysis – Mathematical Methods of Forecasting
- Machine learning and Data analysis}: in 2015 with colleagues obtained a grant from Coursera.org to create a MOOC specialization, eight consequent courses
- 2018–2022 Plans and runs five courses with his PhD alumni:
- Bayesian Model Selection,
- Generative Deep Learning Models,
- Bayesian Multi-modeling,
- Communications in Machine Learning Research,
- Fundamental Theorems of Machine Learning
Supervision of research activities
Alumni under scientific supervision: 32 BS, 28 MS, 16 PhD students. Now in his team 9 BS, 13 MS, 7 PhD students
PhD thesis, supervised and defended
now the students are working for Amazon, Yahoo, Meta, WorldQuant:
- 2014 Algebraic graph transformations for non-linear model generation
- 2015 Concordance of the partial ordered expert estimations
- 2017 Multi-model selection for classification problem
- 2017 Hierarchical topic modelling for short-text collections
- 2019 Multi-way feature selection for ECoG-based Brain-Computer Interface
- 2020 Bayesian model selection for deep learning neural network structures
- 2021 Dimensionality reduction for ECoG Brain-Computer Interface time series
- 2022 Expert learning and Bayesian multi-modelling
Scheduled
- 2023 Spatial-time series multiple alignment and clustering
- 2024 Continuous space-time differential models for Brain-Computer Interface
Organisational duties
- Responsible for French Institute for Research in Computer Science and Automation INRIA-MIPT collaboration
- Examiner of the PhD thesis committee at the Grenoble-Alpes University
- Member of PhD thesis committee at the Russian Academy of Sciences, Computing Centre
- Chair of the MS/PhD thesis committee at the Skolkovo Institute of Science and Technology
- Chair of the BS thesis committees at the National Research University Higher School of Economics
- Editor in chief of the Journal of Machine Learning and Data Analysis
- Executive chair of the International Conference on Intelligent Data Processing]
- Program committee member of the International Federation of Operational Research Societies
Visiting professor
- 2013 University of Siegen (Germany), delivers a course Data Analysis in Business Analytics
- 2014 Middle East Technical University (Turkey), delivers a course on Model Selection in Machine learning
- 2014 RWTH Aachen University (Germany), delivers a course on Preference Learning and Model Selection
- 2015 University of Grenoble, Computer Science Laboratory (France), participates in research projects, devoted to industrial time series forecasting
- 2019 National Institute of Automation and Informatics (France), plans and organizes scientific research projects in machine learning for bio-informatics
Education
Obtained D.Sc.(2014) and Ph.D.(2002) in Physics and Mathematics with theses on Mathematical Modelling and Machine Learning from Russian Academy of Sciences, Computing Center
Distinctions
Yandex Segalovich prize award in 2020 for his significant impact in the scientific community development in the CIS-countries. Series of grants from Foundation for Basic Research
Impact projects
- The physical activity behaviour analysis': resulted in a set of algorithms for deployment in the wearable devices. Proceeded as a three joint start-up companies, which are successfully developing.
- Multiway feature selection for ECoG-based Brain-Computer Interface resulted as a feature selection algorithms and a forecasting model to decode the human upper limb movement using the electrocorticogram
- Rail-road time series forecasting for the county rail-roads resulted a set of the hierarchical time series forecasting algorithms to deploy to the freight planning
- Creation the system of decision making for The Foundation for Basic Research
- The theory of model generation and selection. The project resulted as a joint MS program. Laboratory of Machine Intelligence, MIPT and University Grenoble-Alpes
- The theory of expert assessment concordance for decision making. The project was made for WWF and IUCN to rank protected areas, national parks and wilderness areas
Patents
- Particle Detector} // European Patent Office, patent 06808733.7-1240 PCT/GB2006060369
- Time series generation for railway freight models // Software program register, patent 2016617271
- Model of railway freight volumes forecasting // Software program register, patent 2016617272
Skills
Scientific and applied research planing and executing, Experiment planning, Electronic devices developing: programmable microchips and printed circuit boards , Programming VHDL, Matlab, Mathematica, C++, Python, Editorial duties and publishing
Strijov-Vadim
- Numerical methods of sufficient sample size estimation for generalised linear models (2022) Lobachevskii Journal of Mathematics by Grabovoy A.V., Gadaev T.S., Motrenko A.P., Strijov-Vadim
- Prior distribution selection for a mixture of experts (2021) Computational Mathematics and Mathematical Physics by Grabovoy A.V., Strijov-Vadim DOI
- Disconnected graph neural network for atom mapping in chemical reactions ( 2020) Physical Chemistry Chemical Physics by Nikitin F., Isayev O., Strijov-Vadim DOI
- Quasi-periodic time series clustering for human activity recognition (2020) Lobachevskii Journal of Mathematics by Grabovoy A.V., Strijov-Vadim DOI
- Hierarchical thematic classification of major conference proceedings (2020) CICLing by Kuzmin A.A., Aduenko A.A., Strijov-Vadim URL
- Comprehensive analysis of gradient-based hyperparameter optimisation algorithms (2019) Annals of Operations Research by Bakhteev O.Y., Strijov-Vadim DOI
- Object selection in credit scoring using covariance matrix of parameters estimations (2018) Annals of Operations Research by Aduenko A.A., Motrenko A.P., Strijov-Vadim DOI
- Deep learning model selection of suboptimal complexity (2018) Automation and Remote Control by Bakhteev O.Y., Strijov-Vadim DOI
- Quadratic programming optimisation with feature selection for non-linear models 2018 Lobachevskii Journal of Mathematics by Isachenko R.V., Strijov-Vadim DOI
- Multi-way feature selection for ECoG-based brain-computer interface (2018) Expert Systems with Applications by Motrenko A.P., Strijov-Vadim DOI
- Time series forecasting using RNNs: an extended attention mechanism to model periods and handle missing values (2017) ICONIP 2017 by Cinar Y.G., Mirisaee H., Goswami P., Gaussier E., Ait-Bachir A., Strijov-Vadim URL
- Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria (2017) Expert Systems with Applications by Katrutsa A.M., Strijov-Vadim DOI
- Generation of simple structured Information Retrieval functions by genetic algorithm without stagnation (2017) Expert Systems with Applications by Kulunchakov A.S., Strijov-Vadim DOI
- Extracting fundamental periods to segment human motion time series (2016) IEEE Journal of Biomedical and Health Informatics by Motrenko A.P., Strijov-Vadim DOI
- Analytic and stochastic methods of structure parameter estimation (2016) Informatica by Kuznetsov M.P., Tokmakova A.A., Strijov-Vadim DOI
- Stress-test procedure for feature selection algorithms (2015) Chemometrics and Intelligent Laboratory Systems by Katrutsa A.M., Strijov-VadimDOI
- Ordinal classification using Pareto fronts (2015) Expert Systems with Applications by Stenina M.M., Kuznetsov M.P., Strijov-Vadim DOI
- Supervised topic classification for modeling a hierarchical conference structure (2015) in S. Arik et al. (Eds.): International conference on neural information processing, Part 1, LNCS NIPS by Kuznetsov M.P., Clausel M., Amini M.-R., Gaussier E., Strijov-Vadim DOI
- Editorial of the special issue data analysis and intelligent optimization with applications (2015) Machine Learning 101(1-3): 1-4 by Strijov-Vadim, Weber G.W., Weber R., Sureyya O.A. DOI
- Methods of expert estimations concordance for integral quality estimation (2014) Expert Systems with Applications by Kuznetsov M.P., Strijov-Vadim DOI
- Bayesian sample size estimation for logistic regression (2014) Journal of Computational and Applied Mathematics by Motrenko A.P., Strijov-Vadim, Weber G.W. DOI
- Evidence optimisation for consequently generated models (2013) Mathematical and Computer Modelling by Strijov-Vadim, Krymova E.A., Weber G.W. DOI
- Integral indicator of ecological impact of the Croatian thermal power plants (2011) Energy by Strijov-Vadim, Granic G., Juric J., Jelavic B., Maricic S.A. DOI