Staff

Research Work

• Analysis of large data sets;
• Data mining;
• Optimization theory and applications;
• Visualization of multidimensional data;
• Artificial neural networks;
• Parallel computing;
• Internet data mining;
• Medical data analysis and decision support;
• Image analysis.

Scientific publications

Main publications:

1. Mikalkėnienė, Gajane; Rimšelis, Jonas Mindaugas; Žvirblis, Tadas; Bernatavičienė, Jolita. An impact of feature selection methods on EEG adjacency matrices classification in subjects with depression // 12th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), 15-17 May 2025, Vilnius, Lithuania : proceedings : Institute of Electrical and Electronics Engineers Inc., 2025. ISBN 9781665465625. eISBN 9781665496889. p. [1-6]. (IEEE proceedings, ISSN 2689-7334, eISSN 2689-7342). DOI: 10.1109/AIEEE66149.2025.11050867.
2. Dzemyda, Gintautas (redaktorius); Bernatavičienė, Jolita (redaktorius); Kacprzyk, Janusz (redaktorius). Data science in applications. Towards AI-driven approaches / editors: Dzemyda, Gintautas, Bernatavičienė, Jolita, Kacprzyk, Janusz. Cham : Springer, 2025. XII, 302 p. (Studies in Computational Intelligence, ISSN 1860-949X, eISSN 1860-9503 ; vol. 1206). ISBN 9783031884856. eISBN 9783031884863. DOI: 10.1007/978-3-031-88486-3.
3. Voveris, Lukas; Bernatavičienė, Jolita. Saulės elektrinių matavimų klasifikavimas remiantis NLP ir mašininiu mokymusi // Lietuvos magistrantų informatikos ir IT tyrimai: konferencijos darbai, 2025 m. gegužės 13 d. Vilnius : Vilniaus universiteto leidykla. eISSN 2783-784X. 2025, p. 250-259. (Vilnius University Open Series, eISSN 2669-0535). DOI: 10.15388/MITT.2025.29.
4. Valatka, Matas; Bernatavičienė, Jolita. Neuroniniais tinklais grįstų triukšmo šalinimo EKG signale metodų eksperimentinis tyrimas // Lietuvos magistrantų informatikos ir IT tyrimai: konferencijos darbai, 2025 m. gegužės 13 d. Vilnius : Vilniaus universiteto leidykla. eISSN 2783-784X. 2025, p. 228-237. (Vilnius University Open Series, eISSN 2669-0535). DOI: 10.15388/LMITT.2025.26.
5. Vaitulevičius, Aleksas; Bernatavičienė, Jolita; Markevičiūtė, Jurgita; Naruševičiūtė, Ieva; Trakymas, Mantas; Treigys, Povilas. Advancements in prostate zone segmentation: integrating attention mechanisms into the nnU-Net framework // Machine learning: science and technology. Bristol : IOPScience. ISSN 2632-2153. eISSN 2632-2153. 2024, vol. 5, no. 4, art. no. 045003, p. [1-13]. DOI: 10.1088/2632-2153/ad7f24.
6. Virbukaitė, Sandra; Bernatavičienė, Jolita; Imbrasienė, Daiva. Glaucoma identification using convolutional neural networks ensemble for optic disc and cup segmentation // IEEE Access. Piscataway : IEEE. eISSN 2169-3536. 2024, vol. 12, p. 82720-82729. DOI: 10.1109/ACCESS.2024.3412185.
7. Malūkaitė, Jaunė; Bernatavičienė, Jolita; Treigys, Povilas. Arrhythmia classification from ECG signals using transformers and data balancing techniques // Lietuvos magistrantų informatikos ir IT tyrimai: konferencijos darbai, 2024 m. gegužės 10 d. Vilnius : Vilniaus universiteto leidykla. eISSN 2783-784X. 2024, p. 90-97. (Vilnius University Open Series, eISSN 2669-0535). DOI: 10.15388/LMITT.2024.13.
8. Butkus, Deividas; Bernatavičienė, Jolita. Machine learning approaches in atrial fibrillation detection // Lietuvos magistrantų informatikos ir IT tyrimai: konferencijos darbai, 2024 m. gegužės 10 d. Vilnius : Vilniaus universiteto leidykla. eISSN 2783-784X. 2024, p. 16-24. (Vilnius University Open Series, eISSN 2669-0535). DOI: 10.15388/LMITT.2024.2.
9. Virbukaitė, Sandra; Bernatavičienė, Jolita. Impact of eye fundus image preprocessing on key objects segmentation for glaucoma identification // Nonlinear analysis: modelling and control. Vilnius : Vilnius University Press. ISSN 1392-5113. eISSN 2335-8963. 2024, vol. 29, no. 1, p. 96-110. DOI: 10.15388/namc.2024.29.33669.
10. Dzemyda, Gintautas; Bernatavičienė, Jolita; Kacprzyk, Janusz. Preface [Data science in applications] // Data science in applications / editors: Gintautas Dzemyda, Jolita Bernatavičienė, Janusz Kacprzyk. Cham : Springer International Publishing, 2023. ISBN 9783031244520. eISBN 9783031244537. p. v-ix. (Studies in Computational Intelligence, ISSN 1860-949X, eISSN 1860-9503 ; vol. 1084).
11. Melnik-Leroy, Gerda Ana; Bernatavičienė, Jolita; Korvel, Gražina; Navickas, Gediminas; Tamulevičius, Gintautas; Treigys, Povilas. An overview of Lithuanian intonation: a linguistic and modelling perspective // Informatica. Vilnius : Vilniaus universiteto leidykla. ISSN 0868-4952. eISSN 1822-8844. 2022, vol. 33, iss. 4, p. 795-832. DOI: 10.15388/22-INFOR502.
12. Markevičiūtė, Jurgita; Bernatavičienė, Jolita; Levulienė, Rūta; Medvedev, Viktor; Treigys, Povilas; Venskus, Julius. Impact of COVID-19-related lockdown measures on economic and social outcomes in Lithuania // Mathematics. Basel : MPDI. eISSN 2227-7390. 2022, vol. 10, no. 15, art. no. 2734, p. [1-20]. DOI: 10.3390/math10152734.
13. Motuzienė, Violeta; Bielskus, Jonas; Lapinskienė, Vilūnė; Rynkun, Genrika; Bernatavičienė, Jolita. Office buildings occupancy analysis and prediction associated with the impact of the COVID-19 pandemic // Sustainable cities and society. Amsterdam : Elsevier Ltd. ISSN 2210-6707. eISSN 2210-6715. 2022, vol. 77, art. no. 103557, p. 1-12. DOI: 10.1016/j.scs.2021.103557.
14. Markevičiūtė, Jurgita; Bernatavičienė, Jolita; Levulienė, Rūta; Medvedev, Viktor; Treigys, Povilas; Venskus, Julius. Attention-based and time series models for short-term forecasting of COVID-19 spread // CMC-Computers, materials & continua. Henderson, NV : TECH Science Press. ISSN 1546-2218. eISSN 1546-2226. 2022, vol. 70, no. 1, p. 695-714. DOI: 10.32604/cmc.2022.018735.
15. Tamulevičius, Gintautas; Korvel, Gražina; Yayak, Anil Bora; Treigys, Povilas; Bernatavičienė, Jolita; Kostek, Božena. A study of cross-linguistic speech emotion recognition based on 2D feature spaces // Electronics. Basel : MDPI AG. ISSN 2079-9292. eISSN 2079-9292. 2020, vol. 9, iss. 10, art. no. 1725, p. [1-13]. DOI: 10.3390/electronics9101725.
16. Treigys, Povilas; Korvel, Gražina; Tamulevičius, Gintautas; Bernatavičienė, Jolita; Kostek, Bożena. Investigating feature spaces for isolated word recognition // Data science: new issues, challenges and applications / Dzemyda, Gintautas, Bernatavičienė, Jolita, Kacprzyk, Janusz (Eds.). Cham : Springer, 2020. ISBN 9783030392499. eISBN 9783030392505. p. 165-181. (Studies in computational intelligence, ISSN 1860-949X, eISSN 1860-9503 ; 869). DOI: 10.1007/978-3-030-39250-5_9.

Scientific and other projects

Ongoing Projects: actions:

• The project of the Research Council of Lithuania " Denoising Diffusion Probabilistic Models for Enhanced ECG Signal Noise Reduction in Arrhythmia Classification, and AFIB Detection“ Nr. S-ITP-25-9, 2025-2027. Role in the project: Project Supervisor.
• ERASMUS+, AI2SEP. 2023-2026. Role in the project: Senior Researcher.
• Project "Developing Talents in Artificial Intelligence to Solve Disruptive Environmental Problems" No. 2023-1-PL01-KA220-HED-000166765, 2025.01.02 – 2026.09.30, Role in the project: Senior Researcher
• Project "Creation of the Great Lithuanian Speech Corpus (LIEPA-3)", Project Nr. 02-023-K-0001, 12.03.2024 - 30.04.2026. The project is funded by the Economic Recovery and Resilience Plan "New Generation Lithuania". Position: Project Expert
• Implementation of the National EuroHPC Partnership Competence Center Activities 2023–2025, No. 10-051-P-0001 and No. 101101903, Senior Researcher
• The project of the Research Council of Lithuania S-SV-25-84 "Comparative Analysis of Deep Learning-Based Noise Removal Algorithms in ECG Signals: 2025.07.01–2025.08.30, Scientific Supervisor
•  Nuasmenintų akių dugnų vaizdų bazės kūrimas. Vilnius Region Biomedical Research Committee approval no.:158200-18/11-1057-572, project duration 11-2018 – 10-2030, investigator.

COST actions:

• COST Activity CA22111 "European Consortium to Determine the Impact of Complex Real-World Environments on Brain Development", MC member, activity duration: 2023–2027
• Open Multiscale Systems Medicine (OpenMultiMed) (COST Association COST Action CA15120) http://www.cost.eu/COST_Actions/ca/CA15120, MC Member
• A new Network of European BioImage Analysts to advance life science imaging (NEUBIAS) COST Association COST Action CA15124, No.http://www.cost.eu/COST_Actions/ca/CA15124, MC substitute

National and international projects:

• National Competence Centres in the framework of EuroHPC, H2020, Project duration 2020-9-1 – 2022-8-31, Project Reference: 951732, participant.
• The project of the Research Council of Lithuania P-SV-24-157 "Texture Analysis in Cardiac Magnetic Resonance Images" Duration: 2024.07.01–2024.08.30, Scientific Supervisor
• Project "EDIH VILNIUS: accelerating green and digital transformation in Vilnius region" No. 101083844, Work carried out under an agreement with Vilnius University Hospital Santaros Klinikos, 2024.02.15 - 2024.08.23, position in the project: senior researcher
• COVID-19 Infection in Lithuania: Modelling and Analysis of Social-economic Consequences, project of Research Council of Lithuania, Project Reference: S-COV-20-4, senior researcher
• “Eurostars” joint programme project “Production effectiveness navigator”. No. pen!6232 PEN implementation. No. 31V-27/LSS-580000-407, („Eurostars“ programme). Prof. habil. dr. G. Dzemyda. 2011-2014. (MITA)
• Development of Data Analysis Methods and Tools (2013-02-12 Agreement between "Informatikos mokslų centras" and Vilnius University)
• Innovation voucher No. 31V-109 (JSC "Algoritmų sistemos", MITA): Analysis of optimization strategies, implementation possibilities and methods of Artificial Neural Networks for complex decisions, 2012.
  • ”Information technology tools of clinical decision support and citizens wellness for e.Health system (No. B-07019)” Start date: 09-2007; finish date: 12-2009.
• ”Information technologies for human health – support for clinical decisions (eHealth), IT health (No. C-03013)” Start date: 09-2003; finish date: 10-2006.

Editorial Board and Reviewing

Managing Editor of Baltic Journal of Modern Computing, https://www.bjmc.lu.lv/editorial-board/

Reviewer of internationals:

• Informatica
• Sensors
• Applied Sciences
• Journal of Marine Science and Engineering
• Mathematics
• Biomedical Signal Processing and Control

Science and Education

Phd Students

Defended PhD students:

• Sandra Virbukaitė „Methodology for Applying Deep Learning Algorithms for Glaucoma Identification“ 2020-2024.

Defended MSc thesis:

• "Outlier Detection in Multidimensional Streaming Data", 2021. Supervisor: dr. Jolita Bernatavičienė.
• Investigation of Eye Fundus Image Quality on Vascular Segmentation Using Deep Neural Networks. 2022. Supervisor: dr. Jolita Bernatavičienė.
• Evaluation Of Dynamic Contrast in Prostate MRI for Cancerous Tissue Identification. 2022.Supervisor:dr. Jolita Bernatavičienė.
• Forecast of Energy Produced by Solar Power Plants. 2022. Supervisor: dr. Jolita Bernatavičienė.
• Quality Assestment of Eye Fundus Images Using Machine Learning Methods. 2023. Supervisor: dr. Jolita Bernatavičienė.
• Fault Detection in the Solar Power Generation Process. 2024. Supervisor: dr. Jolita Bernatavičienė.
• Fault detection in solar photovoltaic power system using functional data analysis methods. 2025. Supervisor: dr. Jolita Bernatavičienė.
•  Applications of Adjacency Matrices in EEG Signal Classification. 2025. Supervisor: dr. Jolita Bernatavičienė.

Presentations at Scientific Conferences

• Vilčinskas, Dominykas; Voveris, Lukas; Bernatavičienė, Jolita. Fault detection in solar power plants using energy production data // DAMSS: 15th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 28-30, 2024. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. p. 121-122. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 52). DOI: 10.15388/DAMSS.15.2024.
• Rimšelis, Jonas Mindaugas; Mikalkėnienė, Gajane; Bernatavičienė, Jolita. Comparative evaluation of adjacency matrix applications for EEG signal classification tasks // DAMSS: 15th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 28-30, 2024. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. p. 84. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 52). DOI: 10.15388/DAMSS.15.2024.
• Kutka, Eduardas; Bernatavičienė, Jolita. High-Performance Computing in science // DAMSS: 15th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 28-30, 2024. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. p. 58. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 52). DOI: 10.15388/DAMSS.15.2024.
• Malūkaitė, Jaunė; Bernatavičienė, Jolita; Treigys, Povilas. Enhancing Arrhythmia Detection Using an Ensemble of Transformer Models for Heartbeat Classification, 0th International Conference on machine Learning, Optimization & Data science – LOD 2024, September 22 – 25, 2024, Castiglione della Pescaia (Grosseto), Tuscany, Italy
• Malūkaitė, Jaunė; Bernatavičienė, Jolita; Treigys, Povilas. Arrhythmia classification from ECG signals using transformers and data balancing techniques // Lietuvos magistrantų informatikos ir IT tyrimai: konferencijos darbai, 2024 m. gegužės 10 d. Vilnius : Vilniaus universiteto leidykla. eISSN 2783-784X. 2024, p. 90-97. (Vilnius University Open Series, eISSN 2669-0535). DOI: 10.15388/LMITT.2024.13.
• Butkus, Deividas; Bernatavičienė, Jolita. Machine learning approaches in atrial fibrillation detection // Lietuvos magistrantų informatikos ir IT tyrimai: konferencijos darbai, 2024 m. gegužės 10 d. Vilnius : Vilniaus universiteto leidykla. eISSN 2783-784X. 2024, p. 16-24. (Vilnius University Open Series, eISSN 2669-0535). DOI: 10.15388/LMITT.2024.2.
• Ensemble for quality assessment of eye fundus images involving deep learning methods: 18th Iberian Conference on Information Systems and Technologies (CISTI), 20–23 June 2023, Aveiro, Portugal.
• Solar Power Forecasting Using LSTM Networks: Comparative Analysis, EURO 2022 Espoo, Finland, 3 – 6 July, 2022
• Automatization of eye fundus vessel width measurements // VipIMAGE 2017 : proceedings of the VI ECCOMAS thematic conference on computational vision and medical image processing, Porto, Portugal, October 18-20, 2017.
• 11th international conference “Computer data analysis and modeling: theoretical and applied stochastics”, Minsk, September 6-10, Minsk:BSU, 2016
• EURO2016 : 28th European Conference on Operation Research, July 3-6, 2016, Poznan University of Technology, Poznan, Poland
• The conference "ASMDA 2015” 16th Applied Stochastic Models and Data Analysis International Conference with 4th Demographics 2015 Workshop, 30 June - 4 July 2015
• 10th international conference “Computer data analysis and modeling: theoretical and applied stochastics”, Minsk, September 10-14, Minsk:BSU, 2013.
• The 20th international conference EURO mini conference "Continuous optimization and knowledge-based technologies" EurOPT'2008 : May 20-23, 2008, Neringa, Lithuania
• The 8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006. Zakopane, Poland. June 25-29, 2006.
• WSCG'2005: the 13-th International conference in Central Europe on computer graphics, visualization and computer vision 2005 in co-operation with Eurographics. Plzen: University of West Bohemia, 2005

Qualification

• ERASMUS training visit at University of Aveiro, Portugal, 2022 May 2 − 6. The aim of the visit was to present the International projects of the Institute of Data Science and Digital Technogies, Vilnius university and discuss new possibilities of International cooperation with the Unviversity of Aveiro.
• ERASMUS lecturing visit at University of Aveiro, Portugal, 2019 September 23 −27. Title of the teaching programme: Data Mining and Optimisation Applications in Medical Image Analysis.
• ERASMUS lecturing visit at University of Almeria, Spain, 2018 April 9 − April 13. Title of the teaching programme: Data Mining Application in Medical Image Analysis.

Other activities

• Member of IEEE Computer society section (since 2022).
• Member of Lithuanian Computer Society em>.