Vadim - Revision history

Wiki at 11:53, 11 March 2025

2025-03-11T11:53:44Z

Wiki: /* Education */

2024-08-14T19:48:00Z

Education

Wiki at 08:36, 19 July 2024

2024-07-19T08:36:19Z

Wiki: /* Selected Papers */

2024-07-04T14:38:24Z

Selected Papers

Wiki: /* Selected Papers */

2024-07-04T14:36:50Z

Selected Papers

Wiki: /* Education */

2024-07-04T14:34:37Z

Education

Wiki: /* Duties */

2024-07-04T14:25:20Z

Duties

Vs at 18:47, 11 February 2024

2024-02-11T18:47:26Z

Vs at 18:47, 11 February 2024

2024-02-11T18:47:01Z

Vs at 18:40, 11 February 2024

2024-02-11T18:40:29Z

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 * '''[[Research Statement|Research Basics]]'''
 * '''[[Teaching Philosophy]]'''
-* '''[[Diversity, Equity & Inclusion|DEI Statement]]'''
+<!-- * '''[[Diversity, Equity & Inclusion|DEI Statement]]''' -->
 ==Roles==

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 ==Education==
 * 2014 Doctor of Sciences in Physics and Mathematics (Theoretical foundations of Computer Science) from the Russian Academy of Sciences, Computing Center with a thesis "Model Selection in  Machine Learning: regression and classification"
-* 2002 Ph.D. in Physics and Mathematics (Theoretical foundations of Computer Science) from the Russian Academy of Sciences, Computing Center with a thesis
+* 2002 Ph.D. in Physics and Mathematics (Theoretical foundations of Computer Science) from the Russian Academy of Sciences, Computing Center with a thesis " Integral Indicators and Expert Estimates"
 * 1992 Master of Engineering (Electronic CAD and Systems Engineering) from the Ufa State Aviation Technical University with a thesis "Automated image acquisition and generation system"

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 Vadim is a Doctor of Sciences in Physics and Mathematics, a professor and principal investigator at the Computing Center RAS.
-[[File:vadim.jpeg|class=img-responsive|right|alt|120px|noborder|Vadim]]
+<!-- [[File:vadim.jpeg|class=img-responsive|right|alt|120px|noborder|Vadim]] -->
 * [https://m1p.org/papers_en.html'''List of papers''']
 * [https://orcid.org/0000-0002-2194-8859 ORCID]

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 * [https://m1p.org/papers_en.html Complete list of 115 papers and 80 proceedings].
 *[[Short recap of papers|Highlights of the papers]].
-# Quadratic programming feature selection for multicorrelated signal decoding with partial least squares (2022) Expert Systems with Applications'' by Isachenko R.V., Strijov Vadim [https://doi.org/10.1016/j.eswa.2022.117967 DOI]
+# Quadratic programming feature selection for multi-correlated signal decoding with partial least squares (2022) ''Expert Systems with Applications'' by Isachenko R.V., Strijov Vadim [https://doi.org/10.1016/j.eswa.2022.117967 DOI]
-# 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 [https://doi.org/10.1134/S1995080222120125 DOI]
+# Numerical methods of sufficient sample size estimation for generalized linear models (2022) ''Lobachevskii Journal of Mathematics'' by Grabovoy A.V., Gadaev T.S., Motrenko A.P., Strijov Vadim [https://doi.org/10.1134/S1995080222120125 DOI]
-# Continuous physical activity recognition for intelligent labour monitoring (2022) ''Multimedia Tools and Applications'' by Motrenko A.P., Simchuk E., Khairullin R., Inyakin A., Kashirin D., Strijov Vadim [https://doi.org/10.1007/s11042-021-11288-y DOI]
+# Continuous physical activity recognition for intelligent labor monitoring (2022) ''Multimedia Tools and Applications'' by Motrenko A.P., Simchuk E., Khairullin R., Inyakin A., Kashirin D., Strijov Vadim [https://doi.org/10.1007/s11042-021-11288-y DOI]
 # Bayesian Distillation of Deep Learning Models (2021) by Grabovoy A. V., Strijov Vadim  [https://doi.org/10.1134/S0005117921110023 DOI]
 # 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]
@@ Line 137: / Line 137: @@
 # 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]
+# Comprehensive analysis of gradient-based hyperparameter optimization 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]
+# Quadratic programming optimization 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]
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 # 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]
+# Evidence optimization 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]
+# Integral indicator of the 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]

@@ Line 130: / Line 130: @@
 *[[Short recap of papers|Highlights of the papers]].
 # Quadratic programming feature selection for multicorrelated signal decoding with partial least squares (2022) Expert Systems with Applications'' by Isachenko R.V., Strijov Vadim [https://doi.org/10.1016/j.eswa.2022.117967 DOI]
-# 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
+# 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 [https://doi.org/10.1134/S1995080222120125 DOI]
 # Continuous physical activity recognition for intelligent labour monitoring (2022) ''Multimedia Tools and Applications'' by Motrenko A.P., Simchuk E., Khairullin R., Inyakin A., Kashirin D., Strijov Vadim [https://doi.org/10.1007/s11042-021-11288-y DOI]
 # Bayesian Distillation of Deep Learning Models (2021) by Grabovoy A. V., Strijov Vadim  [https://doi.org/10.1134/S0005117921110023 DOI]

@@ Line 87: / Line 87: @@
 ==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
+* 2014 Doctor of Sciences in Physics and Mathematics (Theoretical foundations of Computer Science) from the Russian Academy of Sciences, Computing Center with a thesis "Model Selection in  Machine Learning: regression and classification"
 ==Distinctions and supervised grants==

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 ==Duties==
-* 2004–2022 Doctor of physico-mathematical sciences, Principal investigator at the Computing Center of the Russian Academy of Sciences
+* 2006-2024 Chief researcher at Forecsys Ltd.
-* 2010–2022 Professor, chief of department at the Moscow Institute of Physics and Technology
+* 2004–2023 Doctor of physico-mathematical sciences, Principal investigator at the Computing Center of the Russian Academy of Sciences
-* 2019–2022 Chief scientist of the Laboratory of Machine Intelligence at MIPT
+* 2010–2022 Professor, chief of the Intelligence Systems Department at the  at the Computing Center RAS and MIPT
-* 2006 Consultant on human behaviour analysis projects at Forecsys Ltd
+* 2015-2024 Chair of the BS, MS, and PhD thesis committees at the University Higher School of Economics
 * 2011–2019 Editor in chief of the Journal of Machine Learning and Data Analysis

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 {{#seo:
-  |title=Vadim Strizhov is a Doctor of Sciences in Physics and Mathematics
+  |title=is a Doctor of Sciences in Physics and Mathematics
   |titlemode=append
   |keywords=Vadim Strizhov Doctor of Sciences in Physics and Mathematics

← Older revision		Revision as of 18:47, 11 February 2024
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		+	{{#seo:
		+	\|title=Vadim Strizhov is a Doctor of Sciences in Physics and Mathematics
		+	\|titlemode=append
		+	\|keywords=Vadim Strizhov Doctor of Sciences in Physics and Mathematics
		+	\|description=Vadim Strizhov is a Doctor of Sciences in Physics and Mathematics, a professor and principal investigator at the Computing Center RAS.
		+	}}
	Vadim is a Doctor of Sciences in Physics and Mathematics, a professor and principal investigator at the Computing Center RAS.		Vadim is a Doctor of Sciences in Physics and Mathematics, a professor and principal investigator at the Computing Center RAS.