ittg 2018 2aIntelligent Technologies Research Group 

Akademijos st. 4, room 619
Vilnius, Lithuania

Head of the Group
dr. Virginijus Marcinkevičius

Tel: (8~5) 210 9311









Research fields

Group research interests:

  • Machine learning and its application
  • Artificial intelligence and its application
  • Natural language processing
  • Cyber security
  • Mathematical modeling
  • Image analysis
  • Hyperspectral image analysis
  • Data mining and visualization
  • Application of modeling, classification and clustering methods in medicine (e.g. in genetics) and economics
  • Optimization. Application of stochastic optimization methods in engineering
  • Multi-agent systems: simulation and application in social research



Research theme

Research theme "Theoretical and applied aspects of machine learning and mathematical modeling (2019–2021)"
Physical Sciences (Informatics) 41-T-12, Technological Sciences (Informatics Engineering) 42-E-4

Main goal

Develop and explore models based on machine learning and mathematical modeling for cyber security, anomalous data detection, real-time data classification, prediction, and explanation of results.

 Tasks in 2021:

  • Application of machine learning for hyperspectral image analysis.
  • GAN networks for phishing URL detection.
  • Modeling multi-phase systems.
  • Investigation of open computer networks when network load is small.
  • Stable modeling in finance engineering.
  • Practical aspects of Central limit theorem Borvein algorithm


 Tasks in 2019-2020:

  • Application of machine learning in anomalous network data detection
  • Adapting heavy tail models to identify abnormalities in security tasks of computer networks
  • Modification of classification algorithms for CERN data certification
  • Critical region inequalities for Riemann zeta function modules
  • Create a recursive algorithm for the recognition of the parameters of the Wiener process monitored with noise
  • Create a recursive algorithm for multi-dimensional Dirichlet distribution parameter recognition
  • Testing and matching metrics and an agent-based model for measuring the impact of cultural processes on social capital to create a functional simulation prototype
  • Get the primary results in the theory of networks with different performance nodes

Science and Education

Courses taught

Courses taught to VU doctoral students

Courses Co-supervisors
Informatics (N 009) studies program 
Research Methods and Methodology of Informatics and Informatics Engineering A. Lupeikienė, A. Čaplinskas, S. Gudas, V. Marcinkevičius, I. Belovas
Fundamental methods of informatics and computer engineering J. Žilinskas, O. Kurasova, P. Treigys, L. Laibinis, A. Jakaitienė, R. Baronas, V. Marcinkevičius
Statistical modeling and stochastic optimization I. Belovas, S. Minkevičius, J. Vaičiulytė
Informatics engineering (T 007) studies program 
Research Methods and Methodology of Informatics and Informatics Engineering A. Lupeikienė, A. Čaplinskas, S. Guda, V. Marcinkevičius, I. Belovas
Fundamental methods of informatics and computer engineering J. Žilinskas, O. Kurasova, P. Treigys, L. Laibinis, A. Jakaitienė, R. Baronas, V. Marcinkevičius
Natrual language processing V. Marcinkevičius, G. Korvel, G. Tamulevičius
Machine learning V. Marcinkevičius, J. Bernatavičienė, V. Valaitis
Module projects
Planning of experimental research and processing of the results I. Belovas, V. Marcinkevičius, A. Jakaitienė
Efficient Algorithms for Calculation of Special Functions I. Belovas, V. Marcinkevičius, M. Sabaliauskas
Courses taught to VU bachelor students
Courses Co-supervisors
Information systems engineering studies program 
Information Security Fundamentals I. Belovas
Natural language processing V. Marcinkevičius
Database management systems R. Savukynas
Computer networks R. Savukynas
Information systems and cyber security program (Kaunas faculty)
Digital Forensics A. Chaževskas
Topics of VU doctoral studies  
Courses Co-supervisors
Informatics (N 009)
Computational modeling of physical, chemical, biological and social systems D. Plikynas
Big data mining I. Belovas, V. Marcinkevičius, A. Jakaitienė, V. Medvedev, E. Pranckevičienė, O. Vasilecas, J. Žilinskas
Artificial intelligence and machine learning I. Belovas, V. Marcinkevičius, D. Plikynas, J. Bernatavičienė, G. Dzemyda, O. Kurasova, V. Medvedev, G. Tamulevičius, P. Treigys
Operations research I. Belovas, L. Sakalauskas
Artificial neural networks, deep learning V. Marcinkevičius, J. Bernatavičienė, G. Dzemyda, O. Kurasova, V. Medvedev, G. Tamulevičius, P. Treigys
Informatics engineering (T 007) 
Computer-based systems modelling and optimisation D. Plikynas, L. Sakalauskas
Computational intelligence in economics, medicine and other domains I. Belovas, V. Marcinkevičius, J. Bernatavičienė, G. Dzemyda, A. Jakaitienė, O. Kurasova, J. Žilinskas
Block chain technologies and cybersecurity I. Belovas, V. Marcinkevičius, E. Filatovas, R. Paulavičius, V. Medvedev
Artificial intelligence-based image, audio and streaming data processing technologies I. Belovas, V. Marcinkevičius, L. Sakalauskas, J. Bernatavičienė, G. Korvel, G. Tamulevičius, P. Treigys
Machine learning and natural language processing V. Marcinkevičius, G. Korvel, G. Tamulevičius
Mathematics (N001)
Artificial intelligence and mathematical finance I. Belovas, V. Marcinkevičius


Phd Students

Name, Surname Supervisor Field of
Theme Time of study
Andrius Chaževskas Assoc. Prof. Dr. Igoris Belovas N 009   2020-2024
Vytautas Dulskis Prof. Habil. Dr. Leonidas Sakalauskas N 009   2018-2023
Shubham Juneja Dr. Virginijus Marcinkevičius N 009   2020-2024
Vytautas Paura Dr. Virginijus Marcinkevičius,
Consultant Assoc. Prof. Dr. Valdas Rapševičius
N 009   2020-2024
Mantas Stankevičius Dr. Virginijus Marcinkevičius,
Consultant Assoc. Prof. Dr. Valdas Rapševičius
T 007 Machine Learning for European Organization for
Nuclear Research Compact Moun Solenoid
Experiment Data Certification
Neringa Urbonaitė Prof. Habil. Dr. Leonidas Sakalauskas N 009   2019-2023
Paulius Vaitkevičius Dr. Virginijus Marcinkevičius T 007   2018-2022


The group was founded in November 2018 (Head of the Group Dr. Virginijus Marcinkevičius) by reorganizing Operational Research Sector.

At the begining of 2019 ITRG staff was as follows: Head of the Group – Senior Researcher Dr. Virginijus Marcinkevičius, Principal Researcher Prof. Dr. Rimvydas Laužikas, Principal Researcher Prof. Dr. Habil. Leonidas Sakalauskas, Senior Researcher Assoc. Prof. Dr. Saulius Minkevičius, Senior Researcher Prof. Dr. Darius Plikynas, Researcher Assoc. Prof. Dr. Igoris Belovas, Junior Researcher Arūnas Miliauskas, Affiliated Researcher Stasys Steišūnas, Specialist Vytautas Dulskis, Specialist Dr. Gintautas Jakimauskas, Project Senior Specialist Povilas Jurčys, Administrator, Chief Specialist, Project Specialist, Project Administrator Snieguolė Meškauskienė, Senior Specialist, Project Administrator Laimutė Mikalauskienė, Junior Researcher, Specialist, Assistant, Senior Project Specialist Dr. Martynas Sabaliauskas, Project Procurement Expert Karolis Urbanavičius, Project Expert Vilma Zubaitienė.


List of defended dissertations:

  1. Vytautas Jakštys (2018) Application of Contour Detection Methods to Lateral Chromatic Aberration Reduction in Eye Fundus Images and Road Surface Defect Detection (abstract).
  2. Tomas Pranckevičius (2017) Investigation Of Multi-Class Classification Methods For Textual Data (abstract).
  3. Edgaras Artemčiukas (2017) Hybrid Object Tracking Method For Augmented Reality Systems Using The Kalman Filter (abstract).
  4. Martynas Sabaliauskas (2017) Computerized Modeling Technology Of Unique Footwear Surface Manufacturing Design (abstract).
  5. Ingrida Vaičiulytė (2014) Study and Application of Markov Chain Monte Carlo Method (abstract).
  6. Valerijonas Dumskis (2014) Analysis and Application of Methods for Search of Stochastic Equilibrium (abstract).
  7. Loreta Savulionienė (2014) Association Rules Search in Large Data Bases (abstract).
  8. Gintautas Jakimauskas (2014) Analysis and Application of Empirical Bayes Methods in Data Mining (abstract).
  9. Saulius Preidys (2012) The Application of Datamining Methods to Personalised Learning Environments (abstract).
  10. Liudas Kaklauskas (2012) Study and Application of Methods of Fractal Processes Monitoring in Computer Networks (abstract).
  11. Audrius Kabašinskas (2008) Statistical Analysis of Financial Markets and Methods of Statistical Modeling (abstract).
  12. Kęstutis Žilinskas (2007) Investigation of Stochastic Linear Programming by Monte Carlo Method (abstract).
  13. Vaida Bartkutė (2007) Application of Order Statistics for Testing Optimality in Search Algorithms [in Lithuanian].
  14. Donatas Bakšys (2007) Analysis of Modelling and Optimization Methods for Electronic Interbank Settlements [in Lithuanian].
  15. Gražvydas Felinskas (2007) Analysis and Application of Heuristic Metods for Optimization of Resource Constrained Schedules [in Lithuanian].



ITRG from March 28, 2018 to March 31, 2021, carries out the project “Development of Integrated Lithuanian Language and Writing Resources Information System – Raštija 2“.
Project code: Raštija-2, 02.3.1-CPVA-V-527-01-0005.
Programme: 2014–2020 Operational Programme for the European Union Funds’ Investments Priority 2 “Promoting Information Society” 02.3.1-CPVA-V-527 measure „Lithuanian language in information technologies“.
Chief executive: Virginijus Marcinkevičius (, 8~5 210 3911).
Chief financial officer: Algimantas Paliukėnas.

ITRG from September 1, 2017 to December 30, 2019, carries out the project „Development of social impact metrics, conceptual and simulation model of cultural processes“.
Project code: S-MIP-17-2/LSS-580000-1086.
Programme: Programme for funding research teams by Lithuanian Science Council.
Chief executive: Darius Plikynas (, +370 620 95101).
Chief financial officer: Nijolė Kavarskienė.


Under the initiative of ITRG, an International and EURO Mini conference „Modelling and Simulation of Social-Behavioral Phenomena in Creative Societies“) will be held from September 18, 2019 to September 30, 2019, (responsible person Prof. Dr. Habil. Leonidas Sakalauskas (, 8~5 2109323)).


Scientific and expert services:

- modelling and optimization of interbank transactions; optimization of ATM network;

- application of stochastic and heuristic methods to solution of logistics, supply and transport problems.

Staff and PhD students

Staff and PhD students:

Senior Researchers:

Affiliated Researchers:


Junior Assistant:

Other Staff:

PhD Students: