Igor E. Tom
Igar E. TOM
The organization, address
United Institute of Informatics Problems
National Academy of Sciences of Belarus
Surganova 6, 220012 Minsk, Belarus
Date and place of birth and present citizenship:
15.04.1955,
South-Sahalinsk, Russia (former USSR),
Belarus
Phone, fax, e-mail
Telephone number - (+375)-17-2842153, (+375)-17-2842092, (+375)-17-2840240
Fax number - (+375)-17-3318403
E-mail : tom[ ]newman.bas-net.by
Education
Ph.D in Computer Sciences (the Special Council of Institute of Engineering Cybernetics of Belarus Academy of Sciences, Prof. O.Semenkov as Chairman of the Council), 1986.
Postgraduate study, 1984-1986, Institute of Engineering Cybernetics of National Academy of Sciences of Belarus.
University diploma, Belarusian State University of Informatics and Radioelectronics in speciality “Automated Control Systems”, 1972-1977.
Positions held:
1977-1979: Institute of Engineering Cybernetics, Minsk, Belarus, Engineer.
1979-1986: Institute of Engineering Cybernetics, Minsk, Belarus, Junior Researcher.
1987-1997: Institute of Engineering Cybernetics, Minsk, Belarus, Senior Researcher.
1997-1999: Institute of Engineering Cybernetics (IEC), Minsk, Belarus, Leading Researcher.
1999 - at present: United Institute of Informatics Problems of the National Academy of Sciences of Belarus (former IEC), Minsk, Belarus, Head of the Laboratory Bioinformatics.
Specialization
Data mining. Decision support systems.
Research directions now:
The development of intelligent methods of data analysis and information technologies for medical and industrial applications.
Awards, memberships
Belarus State Award for Works in Military Area (1984).
National Academy of Sciences of Belarus Award for Advances in Informatics Area (1998).
The member of Belarusian Association of Artificial Intelligence (since 1999).
The member of Belarusian Society of Operations Research (since 1998).
International and National Projects:
1. Manager of the project #1.1.01, Topic 1 “Methods of preprocessing and dependences detection in genetic data”. The National Program “INFORMATICS” (2011-2013).
2. Manager of the joint “Belarus-Latvia” project “Development of the intelligent methods and algorithms for processing and analysis of medical and biological data for improvement of oncological diseases diagnostics”. National Grant GKNT ¹Ô10LAT-015 (2010-2011).
3. Manager of the project «Development and practical application in Belarus information-analytical system of the account and planning of medical actions for coagulopathy patients on the basis of register of hemophilia patients». National Program GNTP “Information Technologies” (2009-2010)
4. Submanager of the international project #B-522 with ISTC “Development of the computer-based system for prognostic risk factors analysis to select adequate therapy of childhood acute leukaemias". (2001-2005)
5. Manager of the project INFOTEH-11, Topic 2 “Methods of processing, analysis and classification of multivariate data». The National Program “INFOTEH” (2006-2010).
6. Manager of the project #01.08 “To develop information technology of data analysis on the basis of hybrid neural networks models for problems of classification and forecasting in leukaemia”. National Program GNTP “The advanced information and telecommunication technologies” (2004-2005).
7. Manager of the joint “Belarus-Russia” international project “Fuzzy and synergetic models in development of anthropomorphic agents and evolutionary systems”. Grant BRFFI ¹Ò02Ð-135 (2002-2004).
8. Manager of the joint “Belarus-Russia” international project “Fuzzy models and soft computing in development of intelligent agents and multi-agents systems”. Grant BRFFI ¹Ô99Ð-085 (2000-2002).
Publications: Author (and so-author) of about 170 scientific publications, include 3 books, more 50 full papers in scientific journal.
Books
1. Novoselova, N.A. Methods of gene expression data analysis. Review and perspective directions of further research /N.A. Novoselova, I.E. Tom. - LAMBERT Academic Publishing GmbH&Co. - 2012. - 68p. - ISBN 978-3-659-16145-2
2. Tom, I.E. Intelligent methods of the multivariate data analysis for the classification tasks / I.E. Tom, N.A. Novoselova, O.V. Krasko. – Minsk: UIIP NAS Belarus, 2011. – 236p. - ISBN 978-986-6744-66-5.
3. Tom I., Manshin G. The operator's working place elements ergonomic design automation. – Minsk. – 1986. - 160p.
Papers (2008-2012)
1. Novoselova, N.A. Entropy-based cluster validation and estimation of the number of clusters in gene expression data/ N.A. Novoselova, I.E. Tom// Journal of Bioinformatics and Computational Biology. - 2012. - Vol.10 - ¹5.
2. Novoselova, N.A. Genetic learning of fuzzy systems based on rules/ N.A. Novoselova, I.E. Tom // Software Engineering. – 2012. – ¹1 (9). – P. 22–29.
3. Novoselova, N.A. Selection the informative gene clusters for the multi-class phenotype classification /N.A. Novoselova, I.E. Tom //Proceeding of ASME (in press)
4. Novoselova, N.A. Evolutionary design of the classifier ensemble / N.A. Novoselova, I.E. Tom, S.V. Ablameyko // Artificial Intelligence. – 2011. – ¹3. – P. 429-438.
5. Novoselova, N.A. Fuzzy classifier learning algorithm using the genetic procedures / N.A. Novoselova, I.E. Tom // Artificial Intelligence. – 2011. – ¹1. – P. 218-228.
6. Novoselova, N.A. Approach to fuzzy clustering based on genetic algorithm / N.A. Novoselova, I.E. Tom // Journal of Information, Control and Management Systems. – 2010. – Vol.8. – ¹ 2. - Ð. 159–168.
7. Novoselova, N.A. Method for estimating the cluster structure and clustering of data / N.A. Novoselova, I.E. Tom // Artificial Intelligence. - 2010. - ¹ 4. - P. 442-452
8. Polaka, I. Decision tree classifier in bioinformatics /I. Polaka, I. Tom, A. Borisov // Scientific Journal of Riga Technical University. Series 5. Computer Science. – 2010. - Vol.44. – P. 118-123.
9. Novoselova, N.A. The evolutionary method of fuzzy clustering / N.A. Novoselova, I.E. Tom // Informatics. - 2009. - ¹ 3 (23). - P. 55-67 .
10. Novoselova, N.A. Approach to building an ensemble classifier using a genetic algorithm / N.A. Novoselova, I.E. Tom // Artificial Intelligence. - 2009. - ¹3. - P. 81-88.
11. Novoselova, N.A. Method of evolutionary fuzzy clustering / N.À.Novoselova, I.E.Òîì // Proc. of the 6th International workshop on Digital Technologies (DT 2009), November, 12-13, Zilina, Slovakia, 2009, ISBN 978-80-554-0150-8. – Novo.pdf
12. Novoselova, N.A. Method of fuzzy clustering with genetic algorithm/ N.A. Novoselova, I.E. Tom // Proc. of the 10th Intern. Conf. «Pattern recognition and information processing (PRIP) ‘2009», May 19-21, 2009, Minsk, Belarus. - P.67-72
13. Novoselova, N.A. Classification of multidimensional information with the use of cluster genetic algorithm and fuzzy logic / N.A. Novoselova, I.E. Tom // Tavricheskiy Bulletin of Informatics and Mathematics. – 2008. - ¹2. – P. 137–142.
14. Novoselova, N.A. Built-in method of selection of informative features on the basis of a two-stage learning scheme of neuro-fuzzy ñlassifier / N.A. Novoselova, I.E. Tom //Tavricheskiy Bulletin of Informatics and Mathematics. – 2008. – ¹ 2.– P. 130-136.
15. Novoselova, N.A. Evolutional approach to extraction of informative features in the tasks of medical data analysis/ N.A. Novoselova, I.E. Tom, A.S. Mastykin// Artificial Intelligence. – 2008. - ¹3. – P. 105-112.
16. Tom, I.E. Information technologies of analysis of medical-biological data in child's leukemia / N.A. Novoselova, O.V. Krasko, I.E. Tom // Informatics. – 2008. - ¹3. - P. 125-132.
