Optimization and Cybernetics

Control Your Future

Group Focus

Research group Optimization and Cybernetics focuses on modern methods of technological process control, mathematical modeling and optimization. The methodology is based on modern methods of data analysis and classification, artificial intelligence, machine learning, variational methods or deep learning.

  • Modeling and control of nonlinear systems
  • On-line analysis of Raman spectra for diagnosis of Alzheimer's disease
  • Modeling of systems with more equilibrium processes
  • Modeling of graphene membrane
  • Analysis of CT images for precise surgery and oncology


  • 2 associate professors
  • 4 assistant professors
  • 7 doctoral students

Leader: assoc. prof. Jan Mareš


Kukal J., Mareš J., Náhlík J., Hrnčiřík P., Klimt M. Automated Classification of Bioprocess Based on Optimum Compromise Whitening and Clustering. Chemical and Biochemical Engineering Quarterly. 2015, 29(4), 533-539. ISSN 0352-9568.
Crha J., Ťupa O., Mareš J. Robotic Platform for Gait Disorders Monitoring. XXXIX. Seminar ASR 2015 Instruments and Control. Ostrava, 24.04.2015 - 24.04.2015.
Mareš J., Kukal J., Hrnčiřík P., Náhlík J.: Process state classification of fed-batch fermentation based on process variables analysis. Biochemical Engineering Journal. 2016, 112, August, s. 178-185. ISSN 1369-703X.
Mojžíš F., Kukal J., Švihlík J.: Point Spread Functions in Identification of Astronomical Objects from Poisson Noised Image. Radioengineering. 2016, 25, 1, s. 169-176. ISSN 1210-2512.
Sireis A., Kukal J.: Nonlinear smoothing of N-dimensional data using successive over-relaxation method. Signal, Image and Video Processing. 2016, 10, 8, s. 1497-1502. ISSN 1863-1703.

Research Projects

LTAIN19007 Development of Advanced Computational Algorithms for Evaluating Post-surgery Rehabilitation, INTER-EXCELLENCE, 2020-2023