ISSI Institute of Control & Computation Engineering


Prof. Józef Korbicz, Ph.D., D.Sc., Ordinary member of the Polish Academy of Sciences

Phone : +48 68 328 2422
E-mail :
Room: 428
Website :



  • Soft computing: methods and techniques: artifical neural networks (optimization of multilayer networks, GMDH (Group Methods of Data Handling) networks and their extensions, networks with the dynamic model of neurons), fuzzy and neuro-fuzzy systems (structure and parameter optimization), bounded-error analysis, expert systems;
  • Fault diagnosis: analytical methods (model-based approach, robust observers, unknown input observers); soft computing techniques (neural and neuro-fuzzy models, classifiers, optimization of diagnostic systems, expert systems);
  • Modelling and simulation: distributed parameter systems (modelling, state and parameter estimation, sensors and actuators location), application (sugar and power plants, air pollution processes)


  • Soft computing
  • Artificial neural networks
  • Numerical methods
  • Seminars


  • Automatic Control, Robotics, and Information Processing.
    Kulczycki P., Korbicz J. , Kacprzyk J. (Eds.), Berlin, Heidelberg: Springer–Verlag, Studies in Systems, Decision and Control, 2021, Vol. 296, - 843 p.
  • Two-stage instrumental variables identification of polynomial Wiener systems with invertible nonlinearities.
    Janczak A., Korbicz J., International Journal of Applied Mathematics and Computer Science, 2020, Vol. 29, No. 3, pp.571--580
  • Cell Nuclei Segmentation in Cytological Images Using Convolutional Neural Network and Seeded Watershed Algorithm.
    Kowal M., Żejmo M., Skobel M., Korbicz J., Monczak R. Journal of Digital Imaging, 2019, pp. 1-1
  • A bounded-error approach to simultaneous state and actuator fault estimation for a class of nonlinear systems.
    Buciakowski M., Witczak M., Puig V., Rotondo D., Nejjari F., Korbicz J., Journal of Process Control , 2017, Vol. 52, pp. 14--25
  • Towards robust neural-network-based sensor and actuator fault diagnosis. Application to a tunnel furnace
    Witczak M., Mrugalski M., Korbicz J., Neural Processing Letters. - 2015, Vol. 42, No. 1, pp. 71--87
  • A robust predictive actuator fault-tolerant control scheme for Takagi-Sugeno fuzzy systems.
    Witczak P., Witczak M., Korbicz J. , Aubrun Ch., Bulletin of the Polish Academy of Sciences : Technical Sciences - 2015, Vol. 63, No. 4, pp. 977-987