ROUGH SET SCHOOL AND TUTORIALS

17 May 2024, Halifax, Nova Scotia, Canada

We are thrilled to invite you to participate in the Rough Set School and Tutorials that will be held on 17 May 2024 in Halifax, Nova Scotia, Canada. This event, part of the IJCRS 2024 International Joint conference, is tailored for those embarking on their journey with rough set techniques.

The Rough Set School and Tutorials, set against the backdrop of the ongoing industrial transformation steered by Artificial Intelligence advancements, aims to introduce the significance of rough set techniques in AI methodologies. Developed by Professor Zdzisław Pawlak, the Rough Set Theory has been instrumental in areas such as data analysis, decision support systems, and knowledge discovery. The school offers a supportive international setting for newcomers to the field, providing a comprehensive introduction to the foundational theory, applications, and associated algorithms of rough sets.

General Information

The Rough Set School and Tutorials is open to all who are keen to explore the broad field of AI, data analysis, and rough set techniques. We especially encourage those at the beginning of their research or professional projects to apply, as the school is designed to provide foundational knowledge and insights.

Every participant will receive a certificate prepared in cooperation with the International Rough Set Society (IRSS).

Location and Programme

The Rough Set School and Tutorials is hosted in Saint Mary's University, Halifax, Nova Scotia, Canada. The primary form of engagement will be:

Rough Set School: The school covers a stream of lectures related to the theory and applications of rough set methods. It will be designed to provide graduate students and industry practitioners with basic understanding of what the rough sets are and how rough set methods and software associated with rough set techniques can be utilized.

Tutorials: These sessions will delve deep into the theory, and applications of artificial intelligence, data mining and uncertainty modelling, ensuring participants gain a holistic understanding of the subject.

Besides the tutorials, participants will also have access to Coffee Breaks on May 17.

Registration Fee

Registration for the Rough Set School and Tutorials is free of charge! Online participation is also possible and is at no cost. However, registration is mandatory. Those who have registered for IJCRS 2024 are eligible to attend the Rough Set School and Tutorials.

The registration link will be updated later.

Tutorial Speakers (further updates will be announced soon)

  • Usman Qamar, National University of Sciences and Technology, Pakistan
  • James F. Peters, University of Manitoba, Canada
  • Yiyu Yao, University of Regina, Canada
  • Eric Matson, Purdue University, USA
  • Andrzej Skowron, Systems Research Institute of Polish Academy of Sciences, Poland
  • Dominik Ślęzak, University of Warsaw, Poland

  • Further updates will be announced soon.

    Rough Set School and Tutorial Chair

  • Piotr Artiemjew (University of Warmia and Mazury in Olsztyn, Poland)
  • Zaineb Chelly Dagdia (Université Paris-Saclay, UVSQ, DAVID, France)