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Oleg S. Seredin |
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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
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
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
Teaching
Assistant,
Tula State
University, Department of Cybernetics
1998-2001
Ph.D.
Student,
Tula State
University, Department of Cybernetics
1999
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.
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
Personal
Grant of the President of the Russian Federation for Young Scientists Support,
2004-2005
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:
2018-2020
Grant
of the Russian Foundation for Basic
Research:
“Methods and algorithms for constructing
mathematically correct comparison functions of binary images based on
skeletons” (Tula State University, Principal Investigator Prof. O. Seredin)
2016-2018
Grant
of the Russian Foundation for Basic
Research and Ministry
of Science and Technology, Taiwan:
“Emergency Event Detection and Recognition in
Video Monitoring of Elderly Individuals for a Wireless Alert System” (Tula
State University, National Taipei University of Technology, Principal
Investigators Prof. O. Seredin and Prof. S-C. Huang)
2014-2015
Grant
of the Fund of assistance to development of small
forms of enterprises in scientific-technical sphere:
“Software for intellectual video analysis of
microassembly layout objects and adaptive film resistors laser trimming”
(CDALab, LLC, 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, 17-th and 18-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, Taganrog, Russia, 2017, Moscow,
Russia, 2020)
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 (PSBB), Moscow, Russia, 2017, 2019
Technical Vision in Control Systems
(TVCS), Moscow, Russia, 2012-2015, 2017, 2018
The
4-th International Professors Day on ICT Algorithm Design (ICTAD-2017), Moscow,
Russia, 2017
RFBR-MOST Scientific Anniversary Conference,
Taipei, Taiwan, 2018
The
7-th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January
16-18, 2018
Huawei
Augmented Reality, SLAM, 3D sensing Workshop, Kaliningrad, Russia, November
28-29, 2019
Academic Supervision Activity
E. Ryzhkov. Phd Thesis, Tula State University, Russia.
Title: “Static code analysis for automated error detection while porting
programs to 64-bit platforms"
O. Kushnir. Phd Thesis, Tula State University,
Russia. Title: “Methods and algorithms for comparing forms of binary raster
images based on skeletonization"
More
than 20 Master of Science students
Reviewer for Conferences and Journals,
Conferences Section Chair, Member of Program Committee:
Reviewer
of the Journal of Machine Learning and Data
Analysis
Reviewer of the Journal of
Computer Optics
Reviewer of the Sensors - Open Access Journal
Section chair on the 7th International Symposium on
Information and Communication Technology (SoICT 2016), Ho Chi Minh, Vietnam,
December 2016
Member of Program Committee on the
9th, 11th IEEE International
Conference on Cloud Computing Technology and Science (CloudCom 2017, 2019)
Member of Program Committee on the 4th,
5th, 6th, 7th, 8th International Conference on Analysis
of Images, Social Networks, and Texts (AIST-2015, AIST-2016, AIST-2017,
AIST-2018, AIST-2019)
Member of Program Committee on the ISPRS International Workshop – PSBB-2017, 2019
Member of Program Committee on the
27th and 28th International Conference on Computer Graphics and Vision ‑ GraphiCon 2017, 2018
Member of Program Committee on the International Conference on Pattern
Recognition in Bioinformatics 2014 (PRIB-2014)
Member of Program Committee on International Conference on Computer
Vision Theory and Applications 2018, 2019, 2020 (VISAPP-2018, 2019,
2020)
Publications in Russian:
More than 75 publications
Recent
Publications in English:
Profile
at Google Scholar Profile at
Scopus Author Profile at ResearchGate Profile at DBLP Profile at ORCID Profile at
Publons
Sulimova V., Seredin O., Mottl V. Recognition
of Herpes Viruses on the Basis of a New Metric for Protein Sequences //Journal
of Physics: Conference Series. – IOP Publishing, 2019. – Vol. 1368. – No. 5. – p.
052039. doi:10.1088/1742-6596/1368/5/052039
Kushnir O. A., Seredin O. S., Fedotova S. A.
Algorithms for Adjustment of Symmetry Axis Found for 2d Shapes by the Skeleton
Comparison Method //International Archives of the Photogrammetry, Remote
Sensing and Spatial Information Sciences. – 2019. – Vol. 42. – No. 2/W12, pp.
129-136. DOI: 10.5194/isprs-archives-XLII-2-W12-129-2019
Seredin O. S., Kopylov, A. V., Huang, S. C.,
& Rodionov, D. S. A Skeleton Features-Based Fall Detection Using Microsoft
Kinect v2 with One Class-Classifier Outlier Removal //International Archives of
the Photogrammetry, Remote Sensing and Spatial Information Sciences. – 2019. –
Vol. 42. – No. 2/W12, pp.189-195. DOI:
10.5194/isprs-archives-XLII-2-W12-189-2019
Gochoo, M., Tan, T. H., Batjargal, T.,
Seredin, O., & Huang, S. C. Device-Free Non-Privacy Invasive Indoor Human
Posture Recognition Using Low-Resolution Infrared Sensor-Based Wireless Sensor
Networks and DCNN. In 2018 IEEE International Conference on Systems, Man, and
Cybernetics (SMC), 2018, October, pp. 2311-2316.
Kopylov, A., Seredin, O., Kushnir, O.,
Gracheva, I. and Larin, A. Background-Invariant Robust Hand Detection based on
Probabilistic One-Class Color Segmentation and Skeleton Matching // Proceedings
of the 7th International Conference on Pattern Recognition Applications and
Methods (ICPRAM 2018). P. 503-510. ISBN: 978-989-758-276-9
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 9th 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 8th 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 7th
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 7th
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 7th 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.