Workshops and Special Sessions

Rough Set Methods for Big Data Analytics

The rough set approach was proposed by Professor Zdzisław Pawlak in 1982 as a tool for dealing with imperfect knowledge, in particular with vague concepts. Many applications of methods based on rough set theory alone or in combination with other approaches have been developed. Due to the versatility, rough sets are widely used in various areas of real life projects, including medicine, pharmacology, banking, etc. The aim of the session is to present the state of the art of rough set methods for big data analytics.

Topics appropriate for this special session include, but are not limited to:

Author(s) should submit papers to this special session via CISIM 2016 web site and should send notification to [email protected]

   Organizer:
Professor Jaroslaw Stepaniuk
Faculty of Computer Science, Bialystok University of Technology



Scheduling in Manufacturing and Other Applications

The scope of the workshop is the development of efficient algorithms for scheduling in manufacturing, as well as in other applications. Scheduling algorithms are developed for different platforms of sequential, parallel and distributed computing, and they can be used as optimization modules in systems supporting production planning based on computer hardware in a manufacturing company or as a service in the cloud. New research results, in particular algorithms, after modifications, can be used in design of optimization algorithms for such criterion functions as minimization of the tasks completion times, balancing the assembly line, minimization of untimely delivered tasks, etc.

Topics appropriate for this special session include, but are not limited to:

Author(s) should submit papers to this special session via CISIM 2016 web site and should send notification to [email protected]

   Organizers:
Professor Ewa Skubalska-Rafajłowicz and Professor Wojciech Bożejko
Faculty of Electronics, Wrocław University of Science and Technology

   Biography:
Ewa Skubalska-Rafajłowicz, Ph.D. in 1981 andD.Sc. in 2001 from the Wrocław University of Science and Technology. She obtained a full professor position in 2015. Her fields of research include a broad area of decision problems including travelling salesman problem and its applications, statistical and neural networks based methods for pattern and image recognition control charts diagnosis, and use of space-filling curves and random projections for the dimensionality reduction. She has published over 100 research papers on the above topics of expertize. She is also a member of the editorial board of ISRN Applied Mathematics. She has been invited as a visiting professor to Concordia University and Manitoba University in Canada as well as to Free University Berlin-West, Tubingen University and Otto-von-Guerricke University in Magdeburg.

   Biography:
Wojciech Bożejko, associated professor at Wroclaw University of Science and Technology. He obtained Ph.D. in 2003, D.Sc. (habilitation) in 2011 and associated professor position in 2013. Author of over 170 papers in journals and conference proceedings from the field of parallel processing, scheduling and optimization. He is interested in parallel algorithms, discrete optimization, scheduling and supercomputing. His Erdős number is 4. He is also a qualified musician, graduated (M.A.) from the Academy of Music in Wroclaw in a specialization of piano.


Intelligent Distributed Systems IDS

A number of natural and artificial systems can be considered as intrinsically distributed and consisting of nodes presenting a certain degree of intelligence. Typical examples of intelligent distributed systems include social insect colonies, flocks of vertebrates, wireless sensor networks, multi-agent systems, multi-robot systems, transportation systems, smart city infrastructures, and immunological systems. The goals of this session are: first, to provide appropriate models and methods for IDS, and second, to illustrate several coordination strategies and show how to concretely implement and optimize them. The session is supposed to be a well-balanced mixture of theory, practice and laboratory experiments using simulation and real hardware platforms.

Topics appropriate for this special session include, but are not limited to:

Author(s) should submit papers to this special session via CISIM 2016 web site and should send notification to [email protected]

   Organizer:
Professor Jerzy Balicki
Faculty of Mathematics and Information Science, Warsaw University of Technology

   Biography:
Jerzy M. Balicki is an associative professor at the Faculty of Mathematics and Information Science, Warsaw University of Technology. He received the M.Sc. and Ph.D. degrees in Computer Science from University of Military Technology, Warsaw, Poland in 1982 and 1987, respectively. Then, he achieved habilitation D.Sc. from Technical University of Poznan in 2001. He was a university professor at Naval University of Gdynia and then Gdańsk University of Technology, Poland. He is a co-author of seven books and more than 200 scientific papers related to artificial intelligence, distributed computer systems, quantum computations and decision support systems.