Cognitive Computing GroupCognitive Computing Group



Akademijos st. 4, room 615
Vilnius, Lithuania

Head of the Group
prof. habil. dr. Gintautas Dzemyda

Tel: +370 5 210 9322, +370 5 210 9300




Research fields

  • Artificial neural networks;
  • Big data;
  • Bioinformatics;
  • Data mining;
  • Deep learning;
  • Global optimization methods;
  • Multi-objective optimization;
  • Image analysis, feature detection, image reconstruction, medical image processing;
  • Internet data mining;
  • Fractal dimensionality;
  • Local optimization methods;
  • Machine learning;
  • Medical data analysis and decision support;
  • Multiple criteria decision support;
  • Operations research;
  • Optimal control applications;
  • Parallel computing;
  • Simulation models in epidemiology, education, economics, and energy with uncertainty;
  • Statistical simulation;
  • Stochastic programming;
  • Swarm intelligence;
  • Visualization of multidimensional data;
  • Web service development. 

Science and Education

2017-2019 Optimal decisions in the problems of data mining, visualization, and image processing

Head: Prof. Habil. Dr. Gintautas Dzemyda, Prof. Dr. Olga Kurasova

Description: The aim of the project is to develop the integrated data mining, visualization, and image processing methods and tools and to apply them to solve the problems in economics, health care, medicine and chemical engineering.

Main results:

  1. A new web-based solution for defining and modelling data mining processes has been proposed.
  2. An algorithm for automated 2D segmentation of prostate in magnetic resonance imaging has been developed.
  3. A preference-based multi-objective evolutionary algorithm with stochastic local search has been developed.
  4. In the analysis of transversal plane images, obtained by computer tomography scans, a method of the feature-based registration has been developed, where the model of the rib-bounded contour serves as the basis of the similarity criterion of image slices.
  5. Methods of multiobjective optimization have been applied to optimal design of tecgnological processes in chemical engineering.


Phd Students

Name, Surname Supervisor Field of
Theme Time of study
Dalia Breskuvienė Prof. Habil. Dr. Gintautas Dzemyda T 007   2021-2025
Viktoras Bulavas Prof. Habil. Dr. Gintautas Dzemyda,
Consultant Dr. Virginijus Marcinkevičius
N 009 Applying Machine Learning Methods for Early Detection
of Cyber Security Incidents
Rokas Gipiškis Prof. Dr. Olga Kurasova N 009   2020-2024
Povilas Gudžius Prof. Dr. Olga Kurasova,
Consultant Assoc. Prof. Dr. Ernestas Filatovas
N 009 Convolutional Neural Networks fo Object Detection in
Optical Satellite Imagery
Marta Karaliutė Prof. Dr. (HP) Kęstutis Dučinskas,
Consultant Prof. Habil. Dr. Gintautas Dzemyda
N 009 Classification of Space-time Data Using Discriminant
Nikolaj Kondrat Prof. Dr. Olga Kurasova N 009   2019-2024
Gediminas Krasauskas Prof. Habil. Dr. Gintautas Dzemyda N 009   2021-2025
Modestas Motiejauskas Prof. Habil. Dr. Gintautas Dzemyda N 009   2021-2025
Roma Puronaitė Prof. Dr. Audronė Jakaitienė N 009 Clustering Algorithms for Medical Big Data 2017-2023
Žydrūnas Vaišnoras Prof. Dr. Olga Kurasova N 009   2019-2024
Ramunė Vaišnorė Prof. Dr. Audronė Jakaitienė T 007   2020-2025


  • Lithuanian education system status and its influencing factors modeling (No. MIP-024/2015,Research Council of Lithuania) Dr. A. Jakaitienė. 2015-2017.
  • Creation of Production Planning Algorithm (No. 20161005-01/APS- 580000-1991, 2016-2017, UAB Netcode)
  • COST action Big Data Era in Sky and Earth Observation TD1403 Member of Managing Committee Prof. Dr. Olga Kurasova. 2014-2018,
  • COST action High-Performance Modelling and Simulation for Big Data Applications (cHiPSet) IC1406 Member of Managing Committee Dr. Viktor Medvedev 2014-2018,
  • COST action A new Network of European BioImage Analysts to advance life science imaging (NEUBIAS) CA15124 Member of Managing Committee Dr. Povilas Treigys 2016-2020,
  • COST action Open Multiscale Systems Medicine CA15120 Member of Managing Committee dr. Jolita Bernatavičienė 2016-2020,