International Journal of Information Science

International Journal of Information Science is a peer-reviewed journal that publishes original papers of high scientific value in all areas of information science. The journal publishes high-quality, refereed articles. It emphasizes a balanced coverage of both theory and practice. It fully acknowledges and vividly promotes a breadth of the discipline of information sciences.

Fiosins Maksims

Editorial Board Member of International Journal of Information Science

Research Scientist, Institute of Informatics, Clausthal University of Technology, Germany

Research Areas

Decentralized Collaborative Decision Making, Multiagent Systems, Machine Learning, Intensive Statistical Methods, ?Mathematical Models For Transport Systems Analysis, Intelligent Transport Systems, Optimization, Effective Algorithms, Simulation and Foreca

Education

2000-2005Ph.DInformation Technology (IT); System Analysis, Modeling and Design Specialization, Latvian Council of Science-supported doctoral scholarship, Riga Technical University
1996-1998MasterComputer Sciences, Riga Aviation University
1992-1996BachelorComputer Sciences, Riga Aviation University

Experience

2009-presentResearch scientist;Clausthal University of Technology, Institute of Informatics, Department of Business informatics, Clausthal-Zellerfeld, Germany
2006-2009Assistant professor, leading researcher and vice-director for studies;Riga Technical University, Department of mathematical methods of transport systems control, Riga, Latvia
1997-2006Assistant, Lecturer ;Department of computer systems software, Faculty of computer science and electronics, Institute of Transport and Telecommunications, Riga, Latvia

Publications: Conferences/Workshops/Symposiums/Journals/Books

[1]  Fiosina J. and Fiosins M. Resampling-based Change Point Estimation. In Proceedings of the 10th International Symposium on Intelligent Data Analysis (IDA'11), 29-31 Oct. 2011, Porto, Portugal, Springer Verlag, Lecture Notes in Computer Science, 12 pages. (to appear).
[2]  Ehmke, J.F., Fiosins, M., Gormer, J., Schmidt, D., Schumacher, H., Tchouankem, H. Decision Support for Dynamic City Traffic Management Using Vehicular Communication. In Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2011). Noordwijkerhout, Netherlands, 29-31 July 2011, 6 pages. (to appear)
[3]  Fiosins M., Fiosina J. and Müller J., Change Point Analysis for Intelligent Agents in City Traffic. In Proceedings of The Seventh International Workshop on Agents and Data Mining Interaction (ADMI2011) in conjunction with The Tenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS2011), May 2-6 2011, Taipei, Taiwan, Lecture Notes in Computer Science/Artificial Intelligence, 15 pages.(to appear)
[4]  Fiosina, J. and Fiosins, M. Resampling Approach to Comparison of Two Routes in Stochastic Graph. In Proceedings of the 14th Int. Conf. Applied Stochastic Models and Data Analysis (ASMDA2011), Rome, Italy, pp. 457-464.
[5]  Fiosins, M.; Fiosina, J.; Müller, J.P. and Gormer, J. Reconciling Strategic and Tactical Decision Making in Agent-Oriented Simulation of Vehicles in Urban Traffic. In Proc. of 4th Int. ICST Conf. on Simulation Tools and Techniques (SimuTools'2011), CD Proceedings and to appear in ACM Digital Library, 8 pages.
[6]  Fiosins, M.; Fiosina, J.; Müller, J. and Gormer, J. Agent-Based Integrated Decision Making for Autonomous Vehicles in Urban Traffic. In Demazeau, Y.; Pechoucek, M., Corchado, J. and Pérez, J. (eds.): Advances on Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol.88, Springer Berlin/Heidelberg, pp. 173-178.
[7]  Fioshina H., Fioshin M. Statistical Estimation for Reliability Model Based on Shot-Noise Processes in a Case of Small Samples. Journal of Quality Technology and Quality Management (to appear), 16 pages.
[8]  Fiosins M., Gormer J., Ehmke J. Decentralized Decision Support and Coordination of Autonomous Vehicles Based on Online Data Mining Techniques.,/In Proceedings of the 24-th European Conference on Operational Research EURO 2010, Lisbon, Portugal, 2010. p. 183.
[9]  Andronov A., Fioshina H. and Fioshin M. Statistical Estimation for a Failure Model with Damage Accumulation in a Case of Small Samples.,/Journal of Statistical Planning and Inference, Elsevier, Vol. 139 (5), 2009. pp. 1685-1692.
[10]  Fioshin M. Resampling Approach to the Estimation of Stochastic System Models.,/In proceedings of 9th Workshop on Stochastic Models and Their Applications. March 3-6, 2009-Aachen, Germany, pp. 10-11.
[11]  Fioshina H., Fioshin M. Statistical Estimation for a Reliability Model Based on Shot-Noise Processes in a Case of Small Samples.,/In Proceedings of the International Conference on Accelerated Life Testing in Reliability and Quality Control, 9-11 June, 2008, Bordeaux, France. pp. 57-62.
[12]  Fioshin M, Fioshina H. Resampling Approach to the Estimation of Reliability Systems.,/In Proceedings of the International Conference, Mathematical Methods in Reliability", 1-4 July, 2007, Glasgow, UK.
[13]  Andronov A., Afanasyeva H. and Fioshin M. Statistical Estimation for a Failure Model with the Accumulation of Damages.,/In proceedings of The International Conference on Degradation, Damage, Fatigue and Accelerated Life Models in Reliability Testing, Angers, France, 2006, pp. 75-81.
[14]  Fioshin M. Resampling Approach to the Estimation of the Aircraft Circulation Plan Reliability.,/In proceedings of the 5-th International Conference "Transport Systems Telematics", Katowice-Ustron, Poland, 2005, pp. 13-21.
[15]  Andronov A., Fioshin M. Applications of Resampling Approach to Statistical Problems of Logical Systems.,/Acta et Commentationes Universitatis Tartuensis de Mathematica, Vol. 8, 2004, pp. 63-72.
[16]  Fioshin M. Resampling approach to estimation of the "2 of 3" system reliability.,/In Proceedings of the International Conference "Modelling and Simulation of Business Systems". Vilnius, Lithuania, 2003, pp. 15-17.
[17]  Fioshin M. Resampling Estimators of Hierarchical Reliability Systems.,/Transport and Telecommunication, Vol. 3, N 1, 2002, pp. 122-126.