MMM-ACNS-07 Workshop
Vladimir Vladimirovich Samoilov

Personal | Interests | Experience | Projects | Awards | Publications | 

Personal

Citizenship: Russia
Address academic (office):
St.Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences
39, 14th Liniya, St.-Petersburg, 199178, Russia
Tel: +7-(812)-323-35-70
Fax: +7-(812)-328-44-50
E-mail: samovl@iias.spb.su
Homepage: http://space.iias.spb.su/ai/samoilov/

Research interests

Ontology construction, hidden Communication and Watermarking, Data Analysis, Data Fusion, Machine Learning, Knowledge Discovery from Data, Applied Multi-agent System (Data Fusion), Database design. Programming languages: C++, VB, SQL.

Work Experience

Graduated from The Dzerginskiy Naval Engineering College in 1993 by speciality "Ships electrical power system". In 1998-2001 served in the Naval Forces, have had research in areas of Information technology. Since 2001 have worked in the Intelligent System laboratory, at the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences.

Recent and current projects

  1. Multi-agent Systems and distributed Algorithms for situation assessment and prediction. Project of the Russian Foundation for Basic Research, # 04-01-00494a, 2004-2006.
  2. "Multi-agent Technology and its Application to Infotelecommunications" Program of the Russian Academy of Sciences, Department of Information Technologies and Computer Systems "New Physical Principles and architectural Solutions in Infortelecommunictions" Project 4.3. 2004
  3. MIND: Machine Learning for Intrusion Detection. Project from Fraunchofet-Gesellschaft zup Forderung der angewandten Forschung e.V. Partner: Institute Fraunhofer FIRST" Berlin (2004-2006)
  4. Autonomous Information Collection, Knowledge Discovery Techniques and Software Tool Prototype for Knowledge-Based Data Fusion (Partner Project # 1993P, Task 1, ISTC and EOARD), 2000-2003.
  5. Mathematical foundations, basic algorithms, architecture, principles of implementation and software prototypes of multi-agent learning components of network security systems focused on supporting intrusions detection (Partner Project # 1994P, Task 2, ISTC and EOARD), 2000-2003.
  6. Mathematical models and techniques for distributed learning of the multi-agent data fusion systems (Project from Russian Foundation of Basic Research, #01-01-00109, 2001-2003).
  7. Issues and foundations of the design of distributed decision support systems operating on the basis of data fusion (paid on budget basis). 2002
  8. Agent-Based Model of Information Security System: Architecture and Formal Framework for Coordinated Intelligent Agents Behavior Specification (Partner Project #1686P from EOARD and ISTC), 1999-2001

Awards

  1. V.Gorodetsky, O.Karsaev and V.Samoilov - Best Paper Award for the paper "On-Line Update of Situation Assessment Based on Asynchronous Data Streams" 8th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES -2004), September 21-24, 2004, Wellington, New Zealand (among more than 450 papers presented)

Recent publications

2005
  1. V.Gorodetsky, O.Karsaeyv and V.Samoilov. On-Line Update of Situation Assessment: A Generic Approach. International Journal of Knowledge-Based & Intelligent Engineering Systems, vol. 9(4), November 2005, pp. 361-365.
  2. V.Gorodetsky and V.Samoilov. Ontology Issue in Multi-Agent Distributed Learning. In V.Gorodetsky, J.Liu, V. Skormin (Eds.). "Autonomous Intelligent Systems: Agents and Data Mining", Lecture Notes in Artificial Intelligence", vol. 3505, Springer, 2005, pp. 215-230.
  3. V.Gorodetsky, O.Karsaeyv and V.Samoilov. Multi-agent and Data Mining Technologies for Situation Assessment in Security-related Applications. B.Dunin-Keplicz, A. Jankovski, A.Skowron, M.Szczuka (Eds.), "Monitoring, Security, and Rescue Techniques in Multi-agent Systems", Series of books "Advances in Soft Computing", Springer, 2005, pp. 411-422.
  4. V.Gorodetsky, O.Karsaeyv, V.Samoilov, and A.Ulanov. Asynchronous Alert Correlation in Multi-Agent Intrusion Detection Systems. In V.Gorodetsky, I.Kotenko, V.Skormin (Eds.) "Computer Network Security", Lecture Notes in Computer Science, vol. 3685, 2005, pp. 366-379.

  1. V.Gorodetski, L.Popyack, V.Skormin, V.Samoilov. SVD-based Approach to Transparent Embedding Data into Digital Images. Proceedings of the International Workshop "Mathematical Methods, Models and Architectures for Computer Network Security. Lecture Notes in Computer Science, vol. 2052, Springer Verlag, 2001, pp.263-274.
  2. V.Gorodetski, V.Samoilov. Robust approach for hidden embedding of data into digital images. Proceedings of the II-d Interregional conference on Information security of Regions of Russia. (IBBR-01), St. Petersburg, Russia, November 26-28 2001, p.56 (in Russian).
  3. V.Gorodetski, V.Samoilov. Digital image steganography. Accepted for publication in Journal of Russian Academy of Sciences "Information technologies and computing systems" in 2002 (in Russian).
  4. V.Gorodetski, V.Samoilov. Visual synthesis of classification predicatesand their use in meta-classification. Transactions of TRTU, #45, 2001, pp. 5-15 (in Russian).
  5. V.Gorodetski, V.Samoilov, A.Malov. Data Mining and Knowledge Discovery Technologies: An Overview of the State of the Art. Artificial Intelligence News, # 3, 4, 2002 (In Russian).
  6. V.Gorodetski, O.Karsaev, V.Samoilov. Data Fusion and Semantic Web: Meta-Models of Distributed Data and Decision Fusion. Proceedings of the International Workshop Semantic Web Mining. Organized within 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02), Helsinki, August 19-23, 2002. Abstract.
  7. V.Gorodetski, O.Karsayev and V.Samoilov. Multi-agent Data Fusion Systems: Design and Implementation Issues. Proceedings of the 10th International Conference on Telecommunication Systems - Modeling and Analysis, Monterey, CA, October 3-6, vol.2, pp.762-774, 2002.
  8. V.Gorodetski, O.Karsayev, V.Samoilov. Multi-agent Data Fusion System: Learning Technology and Architecture. Proceedings of the Conference "Artificial Intelligence Systems", Moscow, Physmathgis, pp. 244-249, 2002.
  9. V.Gorodetski, O.Karsayev, V.Samoilov. Learning and Combining Decisions in a Data Fusion Task. Proceedings of the 8-th Russian Conference on Artificial Intelligence, Kolomna, Russia, October 7-11, vol. 1, pp. 102-111, 2002. (in Russian)
  10. V.Gorodetski, O.Karsayev, V.Samoilov. Multi-agent Technology for Decision Making in Data Fusion Tasks Accepted for publication in Transactions of SPIIRAS, ü 1, 2003. (in Russian).
  11. V. Samoilov. Data Fusion Systems: Principles and Architecture for Data Processing in Decision Making System Learning. Accepted for publication in Transactions of SPIIRAS, # 1, 2002.
  12. I.Kotenko, O.Karsayev, V.Samoilov. Ontology of learning for Intrusion Detection in Computer Networks. Proceedings of the International Conference on Soft Computing and Measurements (SMC'2002). Vol.1, St. Petersburg, pp.255-258, 2002. (in Russian)
  13. V.Gorodetski, O.Karsayev, V.Samoilov. Generic Agent and Software Agent Technology Support. In Proceedings of the conference "China-Russia Bilateral Conference on Intelligent Information Processing", December 5-8, 2002, Beijing, China, pp. 1-10.
  14. V.Gorodetski, O.Karsayev, V.Samoilov. Distributed Data Mining for Data Fusion: Multi-agent Approach. In Proceedings of the conference "China-Russia Bilateral Conference on Intelligent Information Processing", December 5-8, 2002, Beijing, China, pp.63-72.
  15. V.Gorodetsky, O.Karsaeyv, and V.Samoilov. Multi-agent technology of data fusion. Transactions of SPIIRAN, #1, 2003 (in Russian).
  16. V.Gorodetsky, O.Karsaeyv, V.Konushy, A.Khabalov and V.Samoilov. Technological environment for multi-agent systems design, implementation and deployment. Information Ttechnologies and Computer Ssystems, # 1-2, 26-41, 2003 (in Russian).
  17. V.Gorodetsky, O.Karsaeyv, and V.Samoilov. Distributed Learning of Information Fusion: A Multi-agent Approach. Proceedings of the International Conference "Fusion 03", Cairns, Australia, July 2003.
  18. V.Gorodetsky, O.Karsaeyv, and V.Samoilov. Multi-agent Technology for Distributed Data Mining and Classification. Proceedings of the IEEE Conference Intelligent Agent Technology (IAT03), Halifax, Canada, October 2003.
  19. V.Gorodetsky, O.Karsaeyv, and V.Samoilov. Software Tool for Agent-Based Distributed Data Mining. Proceedings of the IEEE Conference Knowledge Intensive Multi-agent Systems (KIMAS 03), Boston, USA, October 2003.
  20. V.Gorodetsky, O.Karsaeyv, and V.Samoilov. Multi-agent Data and Information Fusion: Architecture, Methodology, Technology and Software Tool. Accepted for publication in the book "Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Monitoring" E.Shakhbasyn and P.Vallin (Editors). To be published in Kluwer Academic Publishers.
  21. V.Gorodetsky, V.Samoilov. Simulation-based Exploration of SVD-based Technique for Hidden Communication by Image Steganography Channel. Lecture Notes in Computer Science, Springer-Verlag, V.2776, "Theory and Practice of Computer Network Security", 2003, pp.349-359.
  22. V.Gorodetsky, O.Karsaev, I.Kotenko, V.Samoilov, M.Stepashkin. Multi-agent system of intrusion detection learning. Proceedings of III Inter-regional Conference "Information Security of Russia Regions", vol.1. St. Petersburg, November 25-27, 2003. p.118 (in Russian).
  23. V.Gorodetsky, O.Karsaev, I.Kotenko, and V.Samoilov. Multi-Agent Information Fusion: Methodology, Architecture and Software Tool for Learning of Object and Situation Assessment. Proceedings of the 7-th International Conference "Fusion-04", Stockholm, Sweden, June 28-July 2, 2004, pp. 346-353.
  24. V.Gorodetsky, O.Karsaev, and V.Samoilov. On-Line Update of Situation Assessment Based on Asynchronous Data Streams. Proceeding of the KES2004: Proceedings of the 8th International Conference on Knowledge-Based Intelligent Information & Engineering Systems, Lecture Notes in Artificial Intelligence, vol. 3213, Springer Verlag, 2004, pp.1136-1142 (Received The Best Paper Award)
  25. V.Gorodetsky, O.Karsaev and V.Samoilov. Multi-agent Data Mining for Situation Assessment in Security-related Applications. Proceedings of the International Workshop "Monitoring, Security, and Rescue Tasks in Multi-Agent Systems 2004" (MSRAS 2004), June 7-9, 2004, Plock, Poland, pp.61-67.
  26. V.Gorodetsky, O.Karsaev and V.Samoilov. Multi-agent System for situation Assessment based of Asynchronous Data Streams of Heterogeneous data. International Conference "Artificial Intelligence Systems", Divnomorskoe, Russia, September 3-9, 2004. Moscow, Physmatgis, pp.294-300 (in Russian)
  27. V.Gorodetski, O.Karsaev, V.Samoilov, V.Konushy, E.Mankov, and A.Malyshev. Multi Agent System Development Kit: MAS software tool implementing GAIA Methodology. (Eds. Z.Shi and Q.He) Proceedings of the International Conference on Intelligent Information Processing (IIP2004), 2004, Beijing, Springer, pp.69-78.
  28. V.Gorodetski, O.Karsaev, V.Samoilov, V.Konushy, E.Mankov, and A.Malyshev. MASDK: Software Tool for Support of Applied Multi-agent Systems Development. Proceedings of Ninth National Workshop on Artificial Intelligence, Moscow, Fizmatlit, 2004, 591- 599 (In Russian)
  29. V.Gorodetsky, O.Karsaev and V.Samoilov. Direct Mining of Rules from Data with Missing Values. Accepted for publication in the book "Foundation of Data Mining", 2004, Springer Verlag.
  30. Vladimir Gorodetski, Oleg Karsaev, Vladimir Samoilov, Victor Konushy, Evgeny Mankov and Alexey Malyshev. Multi-Agent System Development Kit. Accepted for publication in the book, R.Unland, M.Klusch, M.Calisti (Editors). To be published in Whitestein Publishers

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