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About Us

Dominik Slezak

Dominik 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 Laboratory 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).

Publications

International Journal of Rough Sets and Data Analysis (IJRSDA)

Parikshit Narendra Mahalle. Est. 2014.

The International Journal of Rough Sets and Data Analysis (IJRSDA) is a multidisciplinary journal that publishes high-quality and significant research in all fields of rough...

International Journal of Conceptual Structures and Smart Applications (IJCSSA)

Simon Polovina, Simon Andrews. Est. 2013.

The International Journal of Conceptual Structures and Smart Applications (IJCSSA) provides a forum for the role of Conceptual Structures (CS) and Smart Applications (SA) in...

Rough Computing: Theories, Technologies and Applications

Rough set theory is a new soft computing tool which deals with vagueness and uncertainty. It has attracted the attention of researchers and practitioners worldwide, and has been...

Foundations of Rough Sets from Vagueness Perspective

We present three types of knowledge, which can be specified according to the Rough Set theory. Then, we present three corresponding types of algebraic structures appearing in the...