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Faculty of Electronics

Piotr Ciskowski, PhD

Email: piotr.ciskowski@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Computer Engineering

ul. Z. Janiszewskiego 7, Wrocław
building C-16 (technopolis), room P 2.2                                         
tel. 71 340 7625


Research fields:

  • neural networks, machine learning, data science
  • decision support, contextual modeling, optimization

  • financial applications of neural nets
  • technical analysis of forex market, Price Action

  • object-oriented programming: C++, Python, UML
  • databases, business process modelling

  • intelligent transportation systems modelling and optimisation
  • building management systems, adaptive heating control

Selected publications:

  1. Piotr Ciskowski, Adrianna Janik, Marek Bazan, Krzysztof Halawa, Tomasz Janiczek, Andrzej Rusiecki. Estimation of travel time in the city based on intelligent transportation system traffic data with the use of neural networks. Dependability Engineering and Complex Systems: Proceedings of the Eleventh International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, June 27 - July 1, 2016, Brunów, Poland / Wojciech Zamojski, Jacek Mazurkiewicz, Jarosław Sugier, Tomasz Walkowiak, Janusz Kacprzyk (eds.). Springer, cop. 2016. s. 85-95

  2. Piotr Ciskowski. Neural Pattern Recognition with Self-organizing Maps for Efficient Processing of Forex Market Data Streams. Artificial Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I; 01/2010

  3. Piotr Ciskowski. Efficient Modeling of Contextual Mappings by Context-dependent Feedforward and Recurrent Neural Nets. Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006; 01/2006

  4. Piotr Ciskowski, Ewaryst Rafajłowicz. Context-dependent neural nets - structures and learning. IEEE Transactions on Neural Networks 12/2004; 15(6):1367-77
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