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Head of the Department

Prof. Paweł Karczmarek, Ph.D., D.Sc.

pinezka.jpg  Room ox 110 

meil.jpg e-mail: p.karczmarek@pollub.pl 

Department office

Justyna Greguła, Msc

pinezka.jpg  Room ox 107 

tel.jpg  81 538 46 14

meil.jpg e-mail: wi.kio@pollub.pl

Organizational Structure of the Department of Computational Intelligence

Machine Learning Unit

Michał Dolecki, Ph.D. - Head of the Unit
Prof. Paweł Karczmarek, Ph.D., D.Sc.
Maciej Laskowski, Ph.D.,D.Sc.
Rafał Stęgierski, Ph.D.
Dawid Drzewiecki, MSc Eng.
Krystyna Kiersztyn, MSc
Alicja Żmudzińska, MSc

Data Mining Unit

Prof. Adam Kiersztyn, Ph.D., D.Sc. - Head of the Unit
Jakub Chromiak, MSc 
Patrycja Miazek, MSc
Albert Rachwał, MSc Eng.
Alicja Rachwał, MSc Eng.
Kacper Romaniuk, MSc Eng.

DEPARTMENT OF COMPUTATIONAL INTELLIGENCE

The employees of the Computational Intelligence Department conduct research in the following areas:

  • Artificial intelligence
  • Deep fuzzy neural networks
  • Uncertainty modeling
  • Data analysis
  • Multicriteria decision-making theory
  • Classification result aggregation in machine learning
  • Anomaly detection in data sets
  • Image and video analysis
  • Applications of artificial intelligence in medicine and logistics

The Department employs highly qualified specialists with experience in implementing research and development projects that utilize artificial intelligence and machine learning methods.

Selected projects carried out with the participation of the Department's employees:

  • "Lubelska Unia Cyfrowa" – Application of digital solutions and artificial intelligence in medicine – research project
  • Development and implementation of an energy management system utilizing renewable energy sources in areas sensitive to power supply continuity
  • Detection of manipulated audio-video content to protect against the spread of deepfake messages, David
  • Application of big data analysis to model processes in intelligent logistics operations, BIG-SMART-LOG

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Projekt współfinansowany ze środków Unii Europejskiej w ramach Europejskiego Funduszu Społecznego, Program Operacyjny Wiedza Edukacja Rozwój 2014-2020 "PL2022 - Zintegrowany Program Rozwoju Politechniki Lubelskiej" POWR.03.05.00-00-Z036/17