Oleg S. Seredin Tula State University  Lenin Ave. 92, 300012, Tula  Russia  Phone: +7 487 2 257940  FAX: +7 487 2 358181  E-mail: oseredin@yandex.ru

Середин Олег Сергеевич

Date of Birth: November 18, 1974

Citizenship: The Russian Federation

Scientific Interests:

Data mining, pattern recognition, machine learning, signal and image analysis, bioinformatics, visual representation of multidimensional data, statistical methods of decision making

Academic History:

2001

Ph.D. Degree in Theoretical Foundations of Informatics,
Computing Center of the Russian Academy of Sciences, Moscow

Ph.D. Thesis:
Methods and Algorithms of Featureless Pattern Recognition

1998

M.S. Degree in Engineering and Technologies for Automation and Control,
Tula State University, Department of Cybernetics

M.S. Thesis:
Methods and Algorithms of Pattern Recognition Machine Learning on the Basis of Reliability Functions Estimation

1996

B.S. Degree in Engineering and Technologies for Automation and Control,
Tula State University, Department of Cybernetics

Scientific History:

2013 (February) and 2014 (February)

Visiting Scientist,
National Taipei University of Technology,
Taipei, Taiwan

2005 (May-August)

Visiting Scientist,
Markov Processes International, LLC,
New Jersey, USA

Since 2002

Associated Professor,
Tula State University, Department of Cybernetics (from 2014 Institute of Applied Mathematics and Computer Science)

Lecture Courses:
Fundamentals of Programming (PASCAL, C),
Informatics,
Object Oriented Programming (C++),
Methods of Data Analysis and Pattern Recognition,
Data Mining (also in English)

2001-2002

Assistant Professor,
Tula State University, Department of Cybernetics

1999-2001

Teaching Assistant,
Tula State University, Department of Cybernetics

1998-2001

Ph.D. Student,
Tula State University, Department of Cybernetics

1999 (June-September)

Visiting Scientist,
Department of Computer Science,
Rutgers, the State University of New Jersey, USA

Bioinformatics Initiative Project: Machine learning approach to protein fold class recognition when classes have low homology between their amino acid sequences.

1997 - Present

Member of the Russian Section of International Association of Pattern Recognition (IAPR)

1993 - Present

Research Assistant, then Researcher

Laboratory of Data Analysis
Tula State University, Department of Cybernetics (from 2014 Institute of Applied Mathematics and Computer Science)

Awards:

Grant of the Albany-Tula Alliance in 2009

Grant for Young Teachers of the Leading Russian State Universities of Vladimir Potanin Foundation in 2006-2007, 2008-2009 and 2009-2010

Diploma of the Ministry of Higher Education of the Russian Federation for the best student research in 1997

Diploma of the Scientific Section of the VIII International Student Olympiad on Automatic Control for the Practical Contribution, Saint-Petersburg, Russia, 2000

Participation in Scientific Grants:

2016-2018

Grant of the Russian Foundation for Basic Research:

“Emergency Event Detection and Recognition in Video Monitoring of Elderly Individuals for a Wireless Alert System” (Tula State University, Principal Investigator Prof. O. Seredin)

2014-2016

Grant of the Russian Foundation for Basic Research:

“Detector combining in the signal and image processing” (Tula State University, Principal Investigator Prof. O. Seredin)

2009-2011

Grant of the Russian Foundation for Basic Research:

“Methods of learning regularization in tasks of ordered and interrelated data analysis” (Tula State University, Principal Investigator Prof. O. Seredin)

2006-2008

Grant of the Russian Foundation for Basic Research:

“Methods and software for intelligent data analysis in public surveys” (Tula State University, Principal Investigator Prof. O. Seredin)

2005-2007

INTAS Research Project Nr: 04-77-7347:

“Principles of Dissimilarity-Based Pattern Recognition in Signals, Symbolic Sequences and Images” (CONSORTIUM: Czech Technical University in Prague, Faculty of Electrical Engineering – Czech Republic; Institute Scientific Council "Cybernetics" – Russia; Tula State University – Russia; International Research and Training Centre for Information Technologies and Systems – Ukraine; University of Surrey - United Kingdom; Technische Universitat Dresden – Germany)

2004-2005

Personal Grant of the President of the Russian Federation for Young Scientists Support:

“Developing of New Algorithms for Signals and Images Featureless Recognition Based on Mutual Alignment and Potential Functions Method” (Tula State University, Principal Investigator Prof. O. Seredin)

2004-2005

Grant of the Russian Foundation for Basic Research:

“Methods and Software of Pattern Recognition in Spatial Data Sets of Seismic Explorations for Prospecting Oil and Gas Collectors in Massive Rocks with Respect to Train Information from Sparse Net of Wells” (Tula State University, Principal Investigator Prof. A. Kopylov)

2002-2004

Grant of the Russian Foundation for Basic Research:

“Methods and Algorithms of Pattern Recognition in Absence of A Priory Known Feature Vectors of Objects” (Computing Centre of Russian Academy of Science, Principal Investigator Prof. V. Mottl)

2002

Grant of the Russian Foundation for Basic Research:

“Mathematically Consistent Similarity Measures for Elements of Biological Sequences in Bioinformatics Researches” (Tula State University, Principal Investigator Prof. O. Seredin)

1998-2000

Grant of the Ministry of Higher Education of the Russian Federation:

“Hidden Markov Models for Typical Problems of Signal and Image Analysis” (Tula State University, Principal Investigator Prof. V. Mottl)

1999-2001

Grant of the Federal Program of the Russian Federation “Perspective Information Technologies”:

“Variational Methods for the Analysis of Images, Signals and Symbolic Sequences”

(Tula State University, Principal Investigator Prof. V. Mottl)

1999-2001

Grant of the Russian Foundation for Basic Research:

“Unified Machine Learning Framework for Signal and Image Analysis on the Basis of the Variational Approach”

(Tula State University, Principal Investigator Prof. V. Mottl)

Actual Participation in Scientific Conferences:

3-d, 5-th, 6-th, 7-th, 8-th and 9th Conferences on Pattern Recognition and Image Analysis
(Nizhni Novgorod, Russia, 1997, 2008; Samara, Russia, 2000; Velikiy Novgorod, Russia, 2002; St.Petersburg, Russia, 2004, Yoshkar-Ola, Russia, 2007)

9-th, 10-th, 11-th, 13-th, 14-th, 15-th,16-th and 17-th Conferences on Mathematical Methods in Pattern Recognition
(Tver, Russia, 1999; Zvenigorod, Russia, 2001; Pushchino, Russia, 2003, Zelenogorsk, Russia, 2007, Suzdal, Russia, 2009, Petrozavodsk, Russia, 2011, Kazan, Russia, 2013, Svetlogorsk, Russia, 2015)

International Conference on Machine Learning and Data Mining (MLDM) in Pattern Recognition
(Leipzig, Germany, 2001, 2009)

International Conference on Pattern Recognition and Information Processing (PRIP)
(Minsk, Belarus, 2007)

7-th, 8-th, 9-th, 10-th and 11-th International Conferences on Intelligent Information Processing
(Alushta, Ukraine, 2008; Paphos, Cyprus, 2010; Budva, Montenegro, 2012, Crete, Greece, 2014, Barcelona, Spain, 2016)

6-th International Conference on Image and Signal Processing 2014 (ICISP 2014)
(Cherbourg, Normandy, France, 2014)

7-th International Symposium on Information and Communication Technology (SoICT 2016), Ho Chi Minh, Vietnam, 2016

ISPRS International Workshop (PSBB17), Moscow, Russia, 2017

Reviewer for Conferences and Journals, Conferences Section Chair, Member of Program Committee:

Reviewer of the Journal of Machine Learning and Data Analysis

Section chair on the 7^th International Symposium on Information and Communication Technology (SoICT 2016), Ho Chi Minh, Vietnam, 2016

Member of Program Committee on the 4^th, 5^th and 6^th International Conference on Analysis of Images, Social Networks, and Texts (AIST-2015, AIST-2016, AIST-2017)

Member of Program Committee on the ISPRS International Workshop ‑ PSBB17

Member of Program Committee on the 27th International Conference on Computer Graphics and Vision ‑ GraphiCon 2017

Member of Program Committee on the International Conference on Pattern Recognition in Bioinformatics 2014 (PRIB-2014)

Publications in Russian:

More than 50 publications

Recent Publications in English:

Profile at Google Scholar Profile at ResearchGate Profile at DBLP

S. Fedotova, O. Seredin, and O. Kushnir. The Parallel Implementation of Algorithms for Finding the Reflection Symmetry of the Binary Images // Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W4, 179-184. http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W4/179/2017/. doi:10.5194/isprs-archives-XLII-2-W4-179-2017, 2017

Kushnir O., Fedotova S., Seredin O., Karkishchenko A. Reflection Symmetry of Shapes Based on Skeleton Primitive Chains // Fifth International Conference, AIST 2016, Yekaterinburg, Russia, April 7–9, 2016, Revised Selected Papers, CCIS, Vol. 661, pp. 293–304, Springer International Publishing Switzerland (2016).

Chen, B. H., Kopylov, A., Huang, S. C., Seredin, O., Karpov, R., Kuo, S. Y., ... & Gong, C. S. (2016). Improved global motion estimation via motion vector clustering for video stabilization. Engineering Applications of Artificial Intelligence, 54, 39-48.

Kushnir O., Seredin O. Shape Matching Based on Skeletonization and Alignment of Primitive Chains. // M.Yu. Khachay, N. Konstantinova, A. Panchenko, D.I. Ignatov, G.V. Labunets (Eds.): Analysis of Images, Social Networks and Texts. Fourth International Conference, AIST 2015, Yekaterinburg, Russia, April 9-11, 2015, Revised Selected Papers. Communications in Computer and Information Science, Vol. 542, Springer, pp. 123–136 (2015)

Krasotkina O., Seredin O., Mottl V. Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation //Multiple Classifier Systems. – Springer International Publishing, 2015. – pp. 89-99.

A. Gubareva, V. Sulimova, O. Seredin, A. Larin, V. Mottl. Finding the largest hypercavity in a linear data space. Proceedings of the 22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014, pp. 4406-4410.

Larin, A., Seredin, O., Kopylov, A., Kuo, S. Y., Huang, S. C., & Chen, B. H. Parametric Representation of Objects in Color Space Using One-Class Classifiers //Machine Learning and Data Mining in Pattern Recognition. – Springer International Publishing, 2014. – pp. 300-314.

Kushnir O., Seredin O. Parametric Description of Skeleton Radial Function by Legendre Polynomials for Binary Images Comparison // A. Elmoataz et al. (Eds.): ICISP 2014, LNCS 8509, pp. 520–530. Springer International Publishing Switzerland (2014)

Fan-Chieh Cheng, Bo-Hao Chen, Shih-Chia Huang, Kuo, S.-Y., Vishnyakov, B., Kopylov, A., Vizilter, Y., Mestetskiy, L., Seredin, O., Vygolov, O. An automatic motion detection algorithm for transport monitoring systems //Consumer Electronics (ISCE), 2013 IEEE 17th International Symposium on. – IEEE, 2013. – С. 195-196.

Oleg Seredin, Vadim Mottl, Alexander Tatarchuk, Nikolay Razin, David Windridge, Convex Support and Relevance Vector Machines for Selective Multimodal Pattern Recognition //21st International Conference on Pattern Recognition (ICPR 2012) November 11-15, 2012. Tsukuba, Japan, pp.1647-1650.

Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Torshin, Valentina Sulimova, Oleg Seredin, David Windridge: Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction. PRIB 2012: 153-165.

Degtyarev N., Seredin O. "A Geometric Approach to Face Detector Combining ", C. Sansone, J. Kittler, and F. Roli (Eds.): MCS 2011, LNCS 6713, pp. 299–308, Springer-Verlag Berlin Heidelberg (2011).

Degtyarev N., Seredin O.: Comparative Testing of Face Detection Algorithms:In A. Elmoataz et al. (Eds.): ICISP 2010, LNCS 6134, pp. 200-209, Springer, Heidelberg (2010).

O. Seredin, A. Kopylov, V. Mottl, Selection of Subsets of Ordered Features in Machine Learning // Transactions on Machine Learning and Data Mining, Vol. 2, No. 2, 2009, pp. 65-79.

O. Seredin, A. Kopylov, V. Mottl, A. Pryimak, Selection of subsets of interrelated features in pattern recognition problem // In: Proceedings of 9^th International Conference “Pattern Recognition and Image Analysis: New Information Technologies”, Nizhni Novgorod, 2008, Vol. 2, pp. 151-154.

Seredin O.S., Krestinin I.A. Face detection using peculiar point technique, In: Proceedings of 8^th International Conference “Pattern Recognition and Image analysis: New Information Technologies”, Vol.2 –Yoshkar-Ola, 2007, pp. 335–338.

Mottl V., Tatarchuk A., Sulimova V., Krasotkina O., and Seredin O. Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion, In: Proceedings of 7^th International Workshop Multiple Classifiers Systems, Prague, Czech Republic, 2007, pp. 1–12.

Seredin O., Mottl V. Regularization in Image Recognition: the Principle of Decision Rule Smoothing In: Proceedings of the Ninth International Conference Pattern Recognition and Information Processing, Minsk, Belarus, 2007. Vol.II., pp. 151-155.

Mottl V.V., Seredin O.S., Krasotkina O.V., and Muchnik I.B. Fusing of potential functions in reconstructing dependences from empirical data In: Doklady Mathematics, Vol. 71, No. 2, 2005, pp. 315–319. From Doklady Akademii Nauk, Vol. 401, No. 5, 2005, pp. 607–612.

Mottl V.V., Seredin O.S., Krasotkina O.V., and Muchnik I.B. Principles of multi-kernel data mining. In: P. Perner and A. Imiya (Eds.), Machine Learning and Data Mining in Pattern Recognition, Springer Verlag, LNAI  3587, 2005, pp. 52 – 61.

Mottl V.V., Seredin O.S., Krasotkina O.V., and Muchnik I.B. Kernel fusion and feature selection in machine learning. Proceedings of the eighth IASTED International Conference Intelligent Systems and Control, October 31 – November 2, 2005, Cambridge, USA, pp.477-482.

Mottl V.V., Seredin O.S., Krasotkina O.V., Muchnik I.B. Fusion of Euclidian metrics in featureless data analysis: an equivalent of the classical problem of feature selection In: Proceedings of 7^th International Conference on Pattern Recognition and Image Analysis, PRIA-7-2004, St. Petersburg, October, 2004, pp.94-97.

Mottl V.V., Seredin O.S., Sulimova V.V. Mathematically correct methods of similarity measurement on sets of signals and symbol sequences of different length. Proceedings of 7^th International Conference on Pattern Recognition and Image Analysis, PRIA-7-2004, St. Petersburg, October, 2004, pp.98-101.

Seredin O.S. Experimental Study of A Priori Preferences for Decision Rules in Hilbert Spaces of Recognition Objects. Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications, 2003, Vol. 13, No. 1, pp. 55–58.

Skorkin A.V., Seredin O.S. Algorithm for Selecting Template Objects for a Nonparametric Classifier. Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications, 2003, Vol. 13, No. 2, pp. 345–348.

Mottl V.V., Seredin O.S., Dvoenko S.D., Kulikowski C.A, Muchnik I.B. Featureless pattern recognition in an imaginary Hilbert space. In: Proceedings of 16th International Conference Pattern Recognition, ICPR-2002, Quebec City, Canada, August, 2002, vol.II, pp.88-91.

Mottl V.V., Kostin A.A., Seredin O.S., Yermakov A.S., Kittler J. Support object classifiers with rigid and elastic kernel functions for face identification. In: Proceedings of 16th International Conference Pattern Recognition, ICPR-2002, Quebec City, Canada, August, 2002, vol.IV, pp.205-208.