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Dominik Slezak

Dominik SlezakDominik Slezak received his MSc in Mathematics (1996) and PhD in Computer Science (2002) under the supervision of Dr. Andrzej Skowron, at Warsaw University (Poland). He has been cooperating with Group of Logic headed by Dr. A. Skowron, Robotics Labortory at PJIIT (Poland), headed by Dr. L. Polkowski, as well as Rough Set Laboratory at the University of Regina (Canada), headed by Dr. W. Ziarko. Dominik Slezak is currently chief scientist at Infobright Inc. (Toronto, Canada). Dr. Slezak’s research interests are related to the theory of rough sets, data mining, Bayesian networks, and optimization. He has published over 60 research papers in journals, books, and at conferences. He has been involved in several joint research projects in Poland, Canada, and Japan and has been also combining academic activity with industry applications. Dr. Slezak is active member of the International Rough Set Society (IRSS), currently serving on the IRSS executive board. He is editor-in-chief of the Online International Journal on Rough Set Methods. He was program chair of the International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing held (Regina, 2005). He has also propagated rough sets by organizing special sessions and workshops at other conferences, in particular, as a reviewing committee co-chair of the Indian International Conference on Artificial Intelligence (2005). Currently, he is the general co-chair of the International Conference on Hybrid Information Technology (South Korea, 2006). Read More Read Less

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U- and E-Service, Science and Technology36 %
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Control and Automation36 %
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Rough Sets37 %
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Security Technology36 %
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Database Theory and Application36 %
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Future Generation Information Technology36 %
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Active Media Technology36 %
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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing37 %
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Rough Sets and Current Trends in Computing36 %
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Rough Sets: Selected Methods and Applications in Management and Engineering37 %
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Rough Sets: Selected Methods and Applications in Management and Engineering37 %
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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing37 %
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Bio-Science and Bio-Technology
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Communication and Networking37 %
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Foundations of Intelligent Systems48 %
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Brain Informatics and Health36 %
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Computer Applications for Software Engineering, Disaster Recovery, and Business Continuity36 %
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