2023 24th International Carpathian Control Conference

La Contessa Castle Hotel, Szilvásvárad, Hungary
Jun 12-14, 2023

[2005] [2010] [2015] [2018] -- [Others]

Conference record nr: 57093

Financial sponsors

Patrons, supporters

Call for papers

The aim of the conference is to support exchange of information and experience in the field of automation of engineering and production, in research, applications, and education. The conference will enable presentation of most recent advances in complex automation, robotics, modelling, control of production and technological processes, including quality control systems oriented to environment, means of support, and information technologies.

The five sister faculties of five universities of the Carpathian region (Kosice, Krakow, Ostrava, Miskolc, Craiova) founded this conference in order to promote the research cooperation and cultural exchanges. When the conference was organised for the first time in Hungary (2005) it was organized by the small IEEE IAS chapter founded just in 2004. Since 2011 the conference was organised as an IEEE conference.

The scientific program of the ICCC 2023 conference is divided in these areas, which will run in parallel sessions:

  1. Measurement, sensors, monitoring and diagnostic systems.
  2. Identification, modeling, simulation of processes and systems.
  3. Theory and application of control systems.
  4. Automation, mechatronics, robotics.
  5. Intelligent embedded systems, instrumentation and Internet of things (IoT).
  6. Information systems (SCADA/HMI, GIS, MES) and their Internet support.
  7. Engineering application of informatics.
  8. Quality control systems (TQM), production management and industrial logistics.
  9. Engineering education in control and computer systems.
  10. Artificial Intelligence and Multimedia Applications.
  11. Signal Processing and Communication Systems.
  12. Industry 4.0.

The official language of the conference is English.

Keynote lectures

Dr. Trohák, Attila, University of Miskolc, Hungary

Dr. Kovács, László, University of Miskolc, Hungary
Process Schema Mining using Neural Networks