Valentina V. Sulimova

 
Tula State University 
Lenin Ave.
92, 300600 Tula 
Russia 

 
Phone: +7 487 2 353637 
FAX: +7 487 2 331305 
E-mail: vsulimova@yandex.ru

Середин Олег Сергеевич

Date of Birth: September 05, 1980

CitizenshipThe Russian Federation

Academic History:

2010

Ph.D. Degree in Computer Science,
Computing Center of the Russian Academy of Sciences, Moscow

Ph.D. Thesis:
Kernel Functions for analysis of symbolic sequences and signals of different length

 

2003

M.S. Degree in Computer Science,
Tula State University, Department of Cybernetics

M.S. Thesis:
Algorithms of On-Line Signature Identification

 

2001

B.S. Degree in Computer Science,
Tula State University, Department of Cybernetics

 

Scientific History:

2007, 2008 (June-August)

Visiting Scientist,
Birkbeck, University of London, Department of Computer Science and Information Systems

London, UK

 

Since 2003

Assistant Professor,
Tula State University, Department of Cybernetics

Lecture Courses:
Fundamentals of Programming (PASCAL, C),
Informatics,
Computational Mathematics,
Operating Systems

 

2003-2006

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

 

2001 - Present

Research Assistant, then Researcher

Laboratory of Data Analysis
Tula State University, Department of Cybernetics

Awards:

Diploma of the XII All-Russian Conference on Mathematical Methods in Pattern Recognition for the best young scientist paper, Russia, Moscow, 2005

Participation in Scientific Grants:

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)

 

2008-2010

Grant of the Russian Foundation for Basic Research:

“Linear methods of different kind information fusion for data analysis”.

 

2008-2009

Grant of the Russian Foundation for Basic Research:

“Methods and instruments for clustering and recognition of symbolic sequences of different length for intellectual analysis of amino acid sequences in protein data bases on the basis of probabilistic model of evolution”.

 

2007-2008

Grant INTAS Young Scientist PhD Fellowship № 06-1000014-6563

“Kernel-based pattern recognition and clustering in sets of protein sequences” (V. Sulimova).

 

2006-2008

Grant of the Russian Foundation for Basic Research:

“Methods of estimation of nonstationary dependences in data flows” (Tula State University, Principal Investigator Prof. O. Krasotkina)

 

2005-2007

Grant 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)

 

2005-2007

Grant of the Russian Foundation for Basic Research:

“Linear Methods for estimation of dependences in data sets of arbitrary kind” (Computing Centre of Russian Academy of Science, Principal Investigator Prof. V. Mottl)

 

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)

Actual Participation in Scientific Conferences:

7-th International Conference on Pattern Recognition and Image Analysis

(St.Petersburg, Russia, 2004)

 

11-th, 12-th, 13-th, 14-th All-Russian Conferences on Mathematical Methods in Pattern Recognition (Pushchino, Russia, 2003, Zvenigorod, Russia, 2005, Zelenogorsk, Russia, 2007, Suzdal, 2009)

 

20-th, 21-th International Conference on Intellectual Data Mining

(Alushta, Crimea, Ukraine, 2004, 2006)

 

8-th IASTED Conference “Signal And Image Processing”, Honolulu, Hawaii, 2006.

 

International Conference on Pattern Recognition, ICPR-2008, Florida, USA, 2008 г

 

5-th International Symposium on Bioinformatics Research and Applications, ISBRA-2009, Ft-Lauderdale, Florida, USA.

 

Scientific Interests:

Dissimilarity-based pattern recognition, signal analysis, symbolic sequences analysis, on-line signature verification, clustering of proteins, kernel-based methods, kernel construction, kernel and classifier fusion

Publications in Russian:

About 13 publications

Recent Publications in English:

- V. Mottl, O. Seredin, V. Sulimova. Mathematically correct methods of similarity measurement on sets of signals and symbol sequences of different length. Pattern Recognition and Image Analysis,Vol.15, No.1, 2005, pp.87-89.

- V. Mottl, V. Sulimova, A. Tatarchuk. Multy-kernel approach to on-line signature verification. Proceedings of the Eighth IASTED International Conference on Signal and Image Processing, held August 14 – 16, 2006, Honolulu, Hawaii, USA, pp. 448-453.

- V. Sulimova, V. Mottl, I. Muchnik. Kernel functions for signals and symbolic sequences of different length. Proc. of The International Conference on Pattern Recognition and Image Analysis: New Information technologies. Yoshkar-Ola, The Russian Federation, October 2007, pp.155-158.

- 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.

- V. Mottl, M. Lange, V. Sulimova, A. Yermakov. Signature verification based on fusion of on-line and off-line kernels. Proc. of 19-th International conference on Pattern Recognition (ICPR 2008), Florida, USA, December 2008.

- V. Sulimova, V. Mottl, C. Kulikowski, I. Muchnik. Probabilistic evolutionary model for substitution matrices of PAM and BLOSUM families. DIMACS Technical Report 2008-16. DIMACS Technical Report 2008-16, Rutgers University, 17 p., 2008,  ftp://dimacs.rutgers.edu/pub/dimacs/TechnicalReports/TechReports/2008/2008-16.pdf

- B. Mirkin, V. Sulimova, V. Mottl. Is protein sequence data sufficient for deriving homology groups? Extending Dayhoff’s model to sequences. Technical Report. School of Computer Science and Information Systems, Birkbeck, University of London, February 2009, 23 p. http://www.dcs.bbk.ac.uk//research/techreps/2009/bbkcs-09-01.pdf

- V. Sulimova, V. Mottl, B. Mirkin, I. Muchnik, C. Kulikowski. A Class of Evolution-Based Kernels for Protein Homology Analysis: A Generalization of the PAM Model. Proc. of 5th International Symposium on Bioinformatics Research and Applications, Nova Southeastern University, Ft. Lauderdale, Florida, USA, May 13-16, 2009

- Tatarchuk, V.Sulimova, D. Windridge, V. Mottl, M. Lange, Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels. Lecture Notes in Computer Science, Springer Berlin / Heidelberg, Volume 5519/2009, pp. 324-334, 2009.