Complex Systems Group

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Description
We conduct research on the analysis, modeling and simulation of various complex systems such as: crowd flow, vehicle movement, including autonomous cars, modeling the spread of pollution (air, oil spill), analysis of social networks and sales, modeling of multidimensional dynamic systems and cybersecurity issues . We are interested in artificial intelligence methods, in particular the use of IoT, ambient intelligence and computational intelligence to solve engineering problems. A very important issue in applied computer science is the use of real measurement data (data-driven modeling), hence in our work we program and use various sensors (UWB, BLE, air sensors, soft-sensors and virtual sensors). We also deal with the use of graphic processors for complex calculations (GPGPU).
Laboratories:
Computational Intelligence Laboratory
Projects:
Implementation Doctorate Programme - Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering (II edition) (0014/DW/2018/02)
Implementation Doctorate Programme - AI - AGH Doctoral School (IV edition) (DWD/4/34/2020)
Cooperation:
Scalable Parallel Computing Lab Computer Science Department ETH Zürich
Department of Informatics, Systems and Communication of the University of Milano-Bicocca.
Harvard Medical School, Massachusetts General Hospital

Contact

Office of Institute

12 617 52 00

Leading unit

Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering - Department of Applied Computer Science

Team leader

Wąs Jarosław

Team members

  • Zachara Marek
  • Hachaj Tomasz
  • Byrski Jędrzej
  • Turek Michał
  • Węgrzyn Paweł
  • Pałka Dariusz
  • Roman Michał
  • Bazior Grzegorz
  • Piekarczyk Marcin
  • Renc Paweł

IDUB research areas

    None

Keywords

complex systemsComputational Intelligencemachine learningAIintelligent systemsagent systemscrowd dynamics