Intelligent Technologies Research Group

Research theme

Research theme "Advanced applications of machine learning, mathematical modeling, and large language models (2024–2028)"
   Nature Sciences (Informatics) N009-T, Technological Sciences (Informatics Engineering) T007-E

Main goal

To develop solutions based on machine learning, mathematical modeling, and large-scale language models for cybersecurity, natural language processing, propaganda and disinformation detection, and image analysis.

  Tasks in 2024:

• Inequalities of zeta functions and distribution of zeros of the zeta function of prime numbers.
• Efficient machine learning algorithms for password selection.
• Content recognition in digitized structured documents.
• Forecasting security prices and investment portfolio formation.
• Efficient algorithms for calculating and visualizing Mandelbrot covers associated with zeta functions.
• Limit theorems for combinatorial numbers.
• Using machine learning to predict the mutation path of viruses.
• Developing an algorithm for recognizing fraudulent websites.
• Analysis of similarity measures between text documents and images.
• Collection and primary analysis of Lithuanian propaganda texts.
• Propaganda and disinformation recognition and analysis of social impact.
• Research and create artificial intelligence algorithms operating in real-time.

Research themes previously carried out by ITTG group:

"Theoretical and applied aspects of machine learning and mathematical modelling (2019–2023)"

Science and Education

Courses taught

Courses taught to VU doctoral students

Phd Students

History

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.

Dissertations

List of defended dissertations:

1. Albertas Jurgelevičius (2021) „Hybrid distributed computing sharing platform“ [in Lithuanian] (abstract)
2. Jūratė Vaičiulytė (2020) „Study and Application of Hidden Markov Models to Online Analysis of Multivariate Sequence Data“ [in Lithuanian] (abstract)
3. Natalija Pozniak (2019) „Study and Application of Euclidean Matrices to Surrogate Modelling“ [in Lithuanian] (abstract)
4. Rokas Jurevičius (2019) „Investigation of Particle Filter Based Visual Localization for Unmanned Aerial Vehicle Flights at Low-Altitude“  (abstract[in Lithuanian]).
5. Vytautas Jakštys (2018) Application of Contour Detection Methods to Lateral Chromatic Aberration Reduction in Eye Fundus Images and Road Surface Defect Detection (abstract).
6. Tomas Pranckevičius (2017) Investigation Of Multi-Class Classification Methods For Textual Data (abstract).
7. Edgaras Artemčiukas (2017) Hybrid Object Tracking Method For Augmented Reality Systems Using The Kalman Filter (abstract).
8. Martynas Sabaliauskas (2017) Computerized Modeling Technology Of Unique Footwear Surface Manufacturing Design (abstract).
9. Ingrida Vaičiulytė (2014) Study and Application of Markov Chain Monte Carlo Method (abstract).
10. Valerijonas Dumskis (2014) Analysis and Application of Methods for Search of Stochastic Equilibrium (abstract).
11. Loreta Savulionienė (2014) Association Rules Search in Large Data Bases (abstract).
12. Gintautas Jakimauskas (2014) Analysis and Application of Empirical Bayes Methods in Data Mining (abstract).
13. Saulius Preidys (2012) The Application of Datamining Methods to Personalised Learning Environments (abstract).
14. Liudas Kaklauskas (2012) Study and Application of Methods of Fractal Processes Monitoring in Computer Networks (abstract).
15. Audrius Kabašinskas (2008) Statistical Analysis of Financial Markets and Methods of Statistical Modeling (abstract).
16. Kęstutis Žilinskas (2007) Investigation of Stochastic Linear Programming by Monte Carlo Method (abstract).
17. Vaida Bartkutė (2007) Application of Order Statistics for Testing Optimality in Search Algorithms [in Lithuanian].
18. Donatas Bakšys (2007) Analysis of Modelling and Optimization Methods for Electronic Interbank Settlements [in Lithuanian].
19. Gražvydas Felinskas (2007) Analysis and Application of Heuristic Metods for Optimization of Resource Constrained Schedules [in Lithuanian].

Projects

"Abstract libraries for artificial intelligence"
Programme: Economic Recovery and Resilience Plan "New Generation Lithuania"
Project code: Nr.02-101-K-0001
Chief executive from Vilnius University: Virginijus Marcinkevičius (, 8~5 210 3911).

"Propaganda and disinformation research: machine learning-based automatic recognition, impact and societal resilience". Implementation via Lithuanian Research Council.
Project code: 2023-06-30 Nr. S-VIS-23-8
Programme: a national government commissioned studies: Priority Research Programme 2023-2026 "Building Societal Resilience and Crisis Management in the Context of Contemporary Geopolitical Developments"
Chief executive: Darius Plikynas (, +370 620 95101).

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.

Conferences

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, www.msbc2019.mii.vu.lt (responsible person Prof. Dr. Habil. Leonidas Sakalauskas (, 8~5 2109323)).

Services

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