Big Data Computing

TC Leadership

Václav Snášel

TC Chair

Václav Snášel (Email)
VŠB – Technical University, Ostrava – Poruba
Czech Republic

Robert Kozma

TC Chair

Michał Woźniak (Email)
Wrocław University of Technology, Wroclaw, Poland

Ivan Zelinka

TC Chair

Ivan Zelinka (Email)
VŠB – Technical University, Ostrava – Poruba
Czech Republic

Our Goal

Our goal can be divided into 3 parts: a) scientific, b) educational and c) technological. More exactly, its meaning is:

  1. the TC and its activities will be focus on basic research in the field of an unconventional and classical big data processing and computation
  2. Supporting young scientists and dissemination of knowledge amongst the scientific community,
  3. Supporting the transfer of discovered know-how to possible technologies-applications.

Big data, its high-quality processing, and solution (especially nontraditional ones) are vitally important for today’s society. The aim is to build a community of unconventional big data processing, computation and application experts who are famous scholars in academic organizations or senior engineering experts.


  • Guanrong Chen, Department of Electronic Engineering, City University of Hong Kong, China
  • Rössler Otto E., Institut für Physikalische und Theoretische Chemie, Tübingen, Germany
  • Adamatzky Andy, Unconventional Computing Centre, Bristol, UK
  • Lampinen Jouni, Department of Computer Science, University of Vaasa, Finland
  • Suganthan Ponnuthurai Nagaratnam, Nanyang Technological University of Singapore
  • Lozi René, Laboratoire J.A. Dieudonné Université de Nice Sophia-Antipolis Nice, France
  • Chadli Mohammed, Université de Picardie Jules Verne, Amiens, France
  • Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA
  • Petr Škoda, Astronomical Institute, Academy of Science, Czech Republic
  • Jaroslav Pokorný, Charles University, Prague, Czech Republic

Recent Activities

Past and Current Activities

Anticipated Activities

  • International Cybernetics Summer School
  • Open Forum on Big Data and Unconventional Computing
  • Organize IEEE/SMC conferences on big data and unconventional methods of computation, with focus on theory as well as applications.
  • Establish special interest group in big data, unconventional computation and related fields (trying to apply for international project as well).
  • Encourage IEEE members participate research in the above-mentioned and related fields to explore new know-how and technologies for further prompting the world and its higher quality.
  • Co-organize SMC Technical sponsored conferences.

Join Us

Join us to establish the new interdisciplinary fusion of field of big data and unconventional methods of computation. It is clear that by this “fusion” one can expect an emergence of new results, methods leading to important applications in many branches of science and technology producing big data under investigation.

We will support study of state-of-the-art strategies and schemes of mutual fusion of above-mentioned methods and fields of research, with aim so share knowledge amongst the scientists for higher accuracy and deeper knowledge. More importantly, we pay special attention on new, convenient and interesting technologies, based on big data existence and processing, which may bring big changes to our lives and society.

One of the main goals of this technical committee is to provide a forum for exchanging ideas and achievements among worldwide researchers in big data and its processing by means of unconventional methods with strong support of young scientists that will create next generation of scientific community. It also tries to broaden the bridge to the emerging knowledge and technologies and potential applications, making technologies more practical and useful.

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