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Department of Parallel and Distributed Information Processing
Leader: Assoc. Prof. Ing. L. Hluchý, CSc.
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Parallel and Distributed Information Computing

  • Infrastructures: cluster, Grid, Cloud and Hadoop
  • High-Performance and Distributed Computing
  • Design, development, porting and support for HPC and distributed applications

Information and Knowledge-oriented Technologies

  • Big Data processing, ontologies, semantic processing, reasoning, knowledge discovery
  • Mobile and communication technologies, multi-agent systems
  • Data mining, machine learning, natural language processing, deep learning

Teaching

  • PhD. study on Applied Informatics
  • Parallel and Distributed Programming
  • Graph Theory
  • Information Retrieval