ISSI Institute of Control & Computation Engineering


Prof. Andrzej Obuchowicz, Ph. D., D.Sc.

Phone : +48 68 328 2373
E-mail :
Room: 424


  • Computational intelligence: evolutionary algorithms, artificial neural networks, hybrid systems
  • Global optimization and adaptation methods: measures of algorithm efficiency, adaptation in non-stationary environments and multicriterial adaptation with evolutionary and stochastic algorithms
  • Max-plus algebra application to discrete-event dynamic systems (DEDS): Modelling and performance analysis of DEDS, foundations of control theory of DEDS within the max-plus algebra formalism
  • Computer-aided medical diagnosis: cytomorphometry of fine needle biopsy material from breast cancer, automatic diagnostic systems based on digital slides of histological and cytological microscopic materials


  • Theoretical Foundations of Computer Science
  • Algorithms and Data Structures
  • Soft Computing
  • Evolutionary Computing
  • Global Optimization Methods
  • Methods of Artificial Intelligence


  • Stable Mutations for Evolutionary Algorithms
    Obuchowicz A. - Springer International Publishing (Studies in Computational Intelligence Vol. 797), Cham 2019, ISBN: 9783030015480
  • Cell Nuclei Segmentation Using Marker-Controlled Watershed and Bayesian Object Recognition
    Skobel M., Kowal M., Korbicz J., Obuchowicz A. - In: E. Pietka, P. Badura, J. Kawa, W. Wieclawek (Eds) Information Technology in Biomedicine : Proceedings 6th International Conference, ITIB-2018, Springer International Publishing (Advances in Intelligent Systems and Computing Vol. 762) Cham, 2019, pp. 407--418
  • Diversity-based classifier selection for breast cancer cytological image analysis
    Krawczyk B., Filipczuk P., WoĽniak M., Obuchowicz A. - Biomedical Engineering: Applications, Basis and Communications, 2014, Vol. 26, no. 1, 1-8
  • Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images
    Kowal M., Filipczuk P., Obuchowicz A., Korbicz J., Monczak R. - Computers in Biology and Medicine, 2013, Vol. 43, iss. 10, 1563--1572
  • GLCM and GLRLM based texture features for computer-aided breast cancer diagnosis
    Filipczuk P., Fevens P., Krzyżak A., Obuchowicz A. - Journal of Medical Informatics & Technologies, 2012, Vol. 19, 109--115