• Increase font size
  • Default font size
  • Decrease font size
  • EU e-Privacy Directive

    This website uses cookies to manage authentication, navigation, and other functions. By using our website, you agree that we can place these types of cookies on your device.

    View Privacy Policy

Main page \ Katedra

Department of Automatics and Bioengineering


Department of Automatics and Bioengineering (DAB) is a part of the the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering AGH. It is one of the biggest academic departments in the field of automatics, robotics, biocybernetics, applied informatics and systemics.

Research activities include development of pure theory (theory of signal processing, theory of control and optimisation, formal methods in software engineering) as well as applied methods in process automation, informatics in medical science, bioengineering, vision systems and laboratories control and management of production systems.

DAB has been involved in various European Projects within TEMPUS, COST, ERASMUS, ESPRIT II. DAB is active also in close cooperation with scientific organizations and universities in Poland and Great Britain, France, Denmark, Belgium, Spain, USA, Slovak Republic. The number of laboratories is 28. They include unique teaching and research sets (automatic systems, digital medical instrumentation, image processing, computer control system for distillation column, industrial robots and photovoltaic systems) as well as standard computer laboratories. The staff of DAB is grouped in a few teams of specialists and consists of 21 professors, over 30 assistant professors and 30 assistants. Some of the professors of DAB are members of Polish Academy of Science, Polish Academy of Arts and Sciences, Conference of University Rectors, Central Board for Scientific Degrees and Scientific Title, The Main Board of Higher Education and many international organizations (IEEE, IASTED, ACM, SPIE and other). The number of annual publications exceeds 250.

Major research areas of the Department of Automatics include:

Advanced methodologies for Control Processes
Static and dynamic optimisation methods for lumped and distributed parameter systems. Optimisation of controller parameters. Process dynamic stabilisation. Modeling, control and state observation of dynamic systems. Multilevel and multiplayer computer control systems with the use of QNX real time operating system (distillation process, blast furnace process, central heating net). Algorithms of distributed digital control for central heating and energy systems. SCADA systems for monitoring, visualization and control. Control methods of magnetic levitation and active magnetic bearing system. Rapid prototyping methods. Stability and optimal control of nonlinear systems (inverted pendulum, 3D crane). Mathematical control theory for abstract systems. Control methods for traffic and transportation systems. Digital control of intelligent buildings. Optimisation of discrete events industrial processes of large dimensions.

Problems of Biocybernetics and Biomedicine
Representation of information in neural nets. Software and hardware processing of images. Automatic recognition and understanding of medical images and pattern analysis. Structural analysis of images from the point of view medical diagnosis by the use of graph grammatic. Localization and recognition of objects by the use of neural nets. Identification of traffic parameters by the video detection. Implementation of algorithms for image analysis and processing in FPGA. Speech recognition and processing in medical and telecommunication systems. Techniques for supporting of medical diagnoses. Processing of digital biomedical signals. Methods of signal compressing. Coding and encoding of signals. 

Construction of Devices for Automation and Robotics
Devices of automatics. Industrial robots and their control. Robot controllers based on dSpace cards and RTW WinTarget. Photovoltaic devices.

Systemic and Operation Research
Modelling and optimisation of NP discrete problems. Mathematical modeling in the shape of discrete optimisation problems and industrial processes. Analysis of effectiveness of algorithm for discrete problems solution searching. Systemic and operation research. Queuing systems and networks. Marketing in industry. Theory of reliability and quality in automatics. Modeling of service systems and queuing networks. Methods and algorithms of combinatory optimisation. Transport problems. Application of operation research for modeling of algorithmic problems in marketing.