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. 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.
2. Jucevičius, Justinas; Treigys, Povilas; Bernatavičienė, Jolita; Briedienė, Rūta; Naruševičiūtė, Ieva; Trakymas, Mantas. Investigation of MRI prostate localization using different MRI modality scans // 2020 IEEE 8th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), 22-24 April 2021, Vilnius. Piscataway, NJ : IEEE., 2021. ISBN 9781665430876. eISBN 9781665425384. eISSN 2689-7342. p. [1-5]. DOI: 10.1109/AIEEE51419.2021.9435797.
3. 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.
4. 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.
5. Dzemyda, Gintautas; Bernatavičienė, Jolita; Kacprzyk, Janusz. Preface // Data science: new issues, challenges and applications / Dzemyda, Gintautas, Bernatavičienė, Jolita, Kacprzyk, Janusz (Eds.) : Springer, 2020. ISBN 9783030392499. eISBN 9783030392505. p. V-XII. (Studies in Computational Intelligence, ISSN 1860-949X, eISSN 1860-9503 ; vol. 869). Prieiga per internetą: < a href="https://link.springer.com/content/pdf/bfm%3A978-3-030-39250-5%2F1.pdf"> https://link.springer.com/content/pdf/bfm%3A978-3-030-39250-5%2F1.pdf.
6. 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.
7. Dzemyda, Gintautas (red.); Bernatavičienė, Jolita (red.); Kacprzyk, Janusz (red.). Data science: New issues, Challenges and applications / Editors: Dzemyda, Gintautas, Bernatavičienė, Jolita, Kacprzyk, Janusz. Cham : Springer, 2020. 331 p. (Studies in computational intelligence, ISSN 1860-949X, eISSN 1860-9503 ; vol. 869). ISBN 9783030392499. eISBN 9783030392505. DOI: 10.1007/978-3-030-39250-5.
8. Venskus, Julius; Treigys, Povilas; Bernatavičienė, Jolita; Tamulevičius, Gintautas; Medvedev, Viktor. Real-time maritime traffic anomaly detection based on sensors and history data embedding // Sensors. Basel : MDPI. ISSN 1424-8220. 2019, vol. 19, no. 17, art. no. 3782, p. 1-10. DOI: 10.3390/s19173782.
9. Stabingis, Giedrius; Bernatavičienė, Jolita; Dzemyda, Gintautas; Paunksnis, Alvydas; Stabingienė, Lijana; Treigys, Povilas; Vaičaitienė, Ramutė. Adaptive eye fundus vessel classification for automatic artery and vein diameter ratio evaluation // Informatica. Vilnius : Vilniaus universitetas Matematikos ir informatikos institutas. ISSN 0868-4952. eISSN 1822-8844. 2018, vol. 29, no 4, p. 757-771. DOI: 10.15388/Informatica.2018.191.
10. Morkūnas, Mindaugas; Treigys, Povilas; Bernatavičienė, Jolita; Laurinavičius, Arvydas; Korvel, Gražina. Machine learning based classification of colorectal cancer tumour tissue in whole-slide images // Informatica. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas. ISSN 0868-4952. 2018, Vol. 29, no. 1, p. 75-90. DOI: 10.15388/Informatica.2018.158.
11. Stabingis, Giedrius; Bernatavičienė, Jolita; Dzemyda, Gintautas; Paunksnis, Alvydas; Treigys, Povilas; Ramutė, Vaičaitienė; Stabingienė, Lijana. 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 / eds.: João Manuel R.S. Tavares, R.M. Natal Jorge. Cham : Springer Nature, 2018. ISBN 9783319681948. eISBN 9783319681955. p. 787-796. (Lecture notes in computational vision and biomechanics, ISSN 2212-9391, eISSN 2212-9413 ; vol. 27). DOI: 10.1007/978-3-319-68195-5_85.
12. Venskus, Julius; Treigys, Povilas;Bernatavičienė, Jolita; Medvedev, Viktor; Voznak, Miroslav; Kurmis, Mindaugas; Bulbenkienė, Violeta.
    Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic // Informatica / Matematikos ir informatikos institutas. Vilnius: Lietuvos mokslų akademijos leidykla. ISSN: 0868-4952. 2017, Vol. 28, no. 2, p. 359-374.
13. Medvedev, Viktor; Kurasova, Olga; Bernatavičienė, Jolita; Treigys, Povilas; Marcinkevičius, Virginijus; Dzemyda, Gintautas. A New Web-Based Solution for Modelling Data Mining Processes / /Simulation Modelling Practice and Theory: Elsevier, 2017 in press
    http://dx.doi.org/10.1016/j.simpat.2017.03.001.
14. Jucevičius, Justinas; Treigys, Povilas; Bernatavičienė, Jolita; Briedienė, Rūta; Naruševičiūtė, Ieva; Dzemyda, Gintautas; Medvedev, Viktor. Automated 2D segmentation of prostate in T2-weighted MRI scans // International journal of computers communications & control. Oradea: Universitatea Agora. ISSN: 1841-9836, eISSN: 1841-9844. 2017, Vol. 12, No. 1, p. 53-60.

Scientific and other projects

Ongoing Projects: actions:

• National Competence Centres in the framework of EuroHPC, H2020, Project duration 2020-9-1 – 2022-8-31, Project Reference: 951732, participant.
• 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.
• 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

COST actions:

• 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:

• “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

PHD Supervision

Leads PhD students:

• Sandra Virbukaitė „Development of Deep Learning Methods for Pathological Changes Identification in Eye Fundus Images“ 2020-2024

Presentations at Scientific Conferences

• 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 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.