Staff

Research Interests

• Data Mining
• Visualization of multidimensional data
• Analysis of large data sets
• Data mining
• Machine Learning
• Big Data analysis
• Cloud Computing
• Artificial neural networks
• Image analysis and decision support

Scientific publications

Publications with VU Institute of Data Science and Digital Technologies & Institute of Mathematics and Informatics affiliation

Clarivate Analytics Web of Science with Impact Factor:

• 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.
• Dzemyda, Gintautas; Sabaliauskas, Martynas; Medvedev, Viktor. Geometric MDS performance for large data dimensionality reduction and visualization // Informatica. Vilnius : Vilniaus universiteto leidykla. ISSN 0868-4952. eISSN 1822-8844. 2022, first on line, p. [1-22]. DOI: 10.15388/22-INFOR491.
• Golubickas, Domas; Lukoševičius, Saulius; Tamakauskas, Vytenis; Dobrovolskienė, Laima; Basevičienė, Ingrida; Grib, Liviu; Ragaišytė, Nijolė; Leonavičius, Rytis; Medvedev, Viktor; Veikutis, Vincentas. Image quality in computed tomography coronary angiography and radiation dose reduction // Informatica. Vilnius : Vilniaus universitetas. ISSN 0868-4952. eISSN 1822-8844. 2021, vol. 32, iss. 4, p. 741-757. DOI: 10.15388/21-INFOR464.
• 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.
• Venskus, Julius; Treigys, Povilas; Bernataviciene, Jolita; Tamulevicius, 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.
• 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. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas. ISSN 0868-4952. 2017, Vol. 28, No. 2, p. 359-374.
• 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. Amsterdam: Elsevier Science. ISSN: 1569-190X. 2017, Article in press, [13 p.]. Prieiga per internetą: <http://www.sciencedirect.com/science/article/pii/S1569190X17300485>.
• 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. Prieiga per internetą: <http://univagora.ro/jour/index.php/ijccc/article/view/2783/1059>.
• Bernatavičienė, Jolita; Dzemyda, Gintautas; Bazilevičius, Gediminas; Medvedev, Viktor; Marcinkevičius, Virginijus; Treigys, Povilas. Method for visual detection of similarities in medical streaming data // International journal of computers communications & control. Oradea: Universitatea Agora. ISSN: 1841-9836. 2015, Vol. 10, no. 1, p. 8-21. Prieiga per internetą: <http://univagora.ro/jour/index.php/ijccc/article/view/1310/pdf_180>.
• Besson, Jérémy Daniel; Lupeikienė, Audronė; Medvedev, Viktor. Comparing real and intended system usages: a case for web portal = Realaus ir prognozuoto sistemos naudojimo palyginimas: web portalo atvejis // Informatica / Matematikos ir informatikos institutas. Vilnius: Lietuvos mokslų akademijos leidykla. ISSN: 0868-4952. 2012, vol. 23, no. 2, p. 191-201. Prieiga per internetą: <http://www.mii.lt/informatica/pdf/INFO862.pdf>.
• Viktor Medvedev, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinevicius Efficient Data Projection for Visual Analysis of Large Data Sets Using Neural Networks = Efektyvi duomenų projekcija didelės apimties duomenims vizualizuoti naudojant neuroninius tinklus // Informatica / Matematikos ir informatikos institutas. Vilnius: Lietuvos mokslų akademijos leidykla. ISSN: 0868-4952. 2011, vol. 22, no. 4, p. 507-520. Prieiga per internetą: <http://www.mii.lt/informatica/pdf/INFO855.pdf>.
• Dzemyda, Gintautas; Marcinkevičius, Virginijus; Medvedev, Viktor. Web application for large-scale multidimensional data visualization // Mathematical modelling and analysis = Matematinis modeliavimas ir analizė / Vilnius Gediminas Technical University, Institute of Mathematics and Informatics. Vilnius: Technika. ISSN: 1392-6292. 2011, vol. 16, no. 2, p. 273-285. Prieiga per internetą: <http://www.tandfonline.com/doi/pdf/10.3846/13926292.2011.580381>.
• Medvedev, Viktor; Dzemyda, Gintautas. Optimization of the local search in the training for SAMANN neural network // Journal of global optimization. ISSN: 0925-5001. 2006, Vol. 35, Iss. 4, p. 607-623. Prieiga per internetą: <http://www.springerlink.com/content/k6581615hnl733ml/?p=baef2351a67f44fba787bba8415bde29&pi=4>

Other publications:

• Dzemyda, Gintautas; Medvedev, Viktor; Sabaliauskas, Martynas. Multi-core implementation of geometric multidimensional scaling for large-scale data // Information systems and technologies : proceedings of the 10th World conference on information systems and technologies {WorldCIST 2022). Vol. 2 / Editors: Alvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira. Cham : Springer International Publishing, 2022. ISBN 9783031048180. eISBN 9783031048197. p. 74-82. (Lecture notes in networks and systems, ISSN 2367-3370, eISSN 2367-3389 ; vol. 469). DOI: 10.1007/978-3-031-04819-7_8.
• Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Mikulskienė, Birutė. Early cost estimation in customized furniture manufacturing using machine learning // International journal of machine learning and computing. Singapore : IJMLC. eISSN 2010-3700. 2021, vol. 11, no. 1, p. 28-33. DOI: 10.18178/ijmlc.2021.11.1.1010.
• Dzemyda, Gintautas; Kurasova, Olga; Medvedev, Viktor; Dzemydaitė, Giedrė. Visualization of data: methods, software, and applications // Advances in mathematical methods and high performance computing / editors : Vinai K. Singh, David Gao, Andreas Fischer. Cham : Springer, 2019. ISBN 9783030024864. eISBN 9783030024871. p. 295-307. (Advances in Mechanics and Mathematics ; vol. 41). DOI: 10.1007/978-3-030-02487-1_18
• Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Treigys, Povilas. Cloud computing approach for intelligent visualization of multidimensional data // Advances in stochastic and deterministic global optimization / Editors: Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas. - Ser.: Springer optimization and its applications. ISSN 1931-6828. Vol. 107.. Cham: Springer International Publishing Switzerland, 2016. ISBN: 9783319299730. p. 73-85.
• Medvedev, Viktor; Kurasova, Olga. Cloud technologies: a new level for Big Data Mining // Resource management for Big Data platforms: algorithms, modelling, and high-performance computing techniques / Editors: Florin Pop, Joanna Kołodziej, Beniamino Di Martino. Ser.: Computer communications and networks. ISSN 1617-7975. Cham: Springer International Publishing AG, 2016. ISBN: 9783319448800. p. 55-68. Prieiga per internetą: <http://link.springer.com/chapter/10.1007%2F978-3-319-44881-7_3>.
• Dzemyda, Gintautas; Medvedev, Viktor; Lupeikienė, Audronė; Kurasova, Olga; Čaplinskas, Albertas. Big multidimensional datasets visualization using neural networks - efficient decision support // Complex systems informatics and modeling quarterly. Riga: RTU Press. ISSN: 2255-9922. 2016, Iss. 6, p. 1-11. Prieiga per internetą: <https://csimq-journals.rtu.lv/article/view/csimq.2016-6.01/814>.
• Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Rapečka, Aurimas; Stefanovič, Pavel. Strategies for big data clustering // ICTAI 2014 : 2014 IEEE 26th international conference on tools with artificial intelligence : proceedings, 10-12 November 2014 Limassol, Cyprus. Washington: IEEE Computer Society. ISSN: 1082-3409. 2014, p. 740-747.
• Dzemyda, Gintautas; Marcinkevičius, Virginijus; Medvedev, Viktor. Large-scale multidimensional data visualization: a Web service for data mining // Towards a service-based internet : 4th European Conference, ServiceWave 2011, Poznan, Poland, October 26-28, 2011: proceedings. Book Series : Lecture Notes in Computer Science. Vol. 6994. Berlin: Springer, 2011. ISBN: 9783642247545. p. 14-25.
• Dzemyda, Gintautas; Kurasova, Olga; Medvedev, Viktor. Dimension reduction and data visualization using neural networks // Frontiers in artificial intelligence and applications. Vol. 160, Emerging artificial intelligence applications in computer engineering : Real word AI systems with applications in eHealth, HCI, Information retrieval and pervasive technologies. Amsterdam ... [etc.]: IOS Press. ISSN: 0922-6389. 2007. ISBN: 9781586037802. p. 25-49. Prieiga per internetą: <http://www.booksonline.iospress.nl/Content/View.aspx?piid=6951>.
• Ivanikovas, Sergejus; Medvedev, Viktor; Dzemyda, Gintautas. Parallel realizations of the SAMANN algorithm // Lecture notes in computer science. ISSN: 0302-9743. 2007, Vol. 4432, p. 179-188. Prieiga per internetą: <http://www.springerlink.com/content/l8132650412h0604/?p=d73b11e2506347b4bc8a87c116adf34a&pi=20>.
• Medvedev, Viktor; Dzemyda, Gintautas. Speed up of the SAMANN neural network retraining // Lecture notes in artificial intelligence. ISSN: 0302-9743. 2006, Vol. 4029, p. 94-103. Prieiga per internetą: <http://www.springerlink.com/content/nt0h4m12t23h8366>.
• Bernataviciene, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor. The problem of visual analysis of multidimensional medical data // Springer optimization and its applications. Vol. 4, Models and algorithms for global optimization. New York: Springer, 2007. ISBN: 0387367209. p. 277-298. Prieiga per internetą: <http://www.springerlink.com/content/v01626q78254047q/?p=afb8a9aa46624cbfaf66ddbeed61ee49&pi=16>.
• Medvedev, Viktor; Dzemyda, Gintautas. Retraining the neural network for data visualization // IFIP International Federation for Information Processing. 204, Artificial Intelligence Applications and Innovations : 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI) 2006 : June 7-9, 2006, Athens, Greece. Boston: Springer, 2006. ISBN: 9780387342238. p. 27-34. Prieiga per internetą: <http://www.springerlink.com/content/3kmtj84v075h06g5/?p=12dae18eb3c34368a2659e0315db595b&pi=3>.

Scientific and other projects

• "Geometric method for multidimensional scaling problem " (LMT funded project, No. S MIP 20"Geometric method for multidimensional scaling problem " (LMT funded project, No. S MIP 2019, duration: 2020 2022).
• "COVID 19 infection in Lithuania: modelling and analysis of socio economic consequences"(LMT funded project, Nr. P COV 20 34, duration: 2020 2022).
• “Development of Lithuanian Speech Managed Ser vices LIEPA 2” (Structural Funds, ContractNo. 02.3.1 CPVA V 527 01 0001, implementation period: 2018 2020).
• COST Action IC1406 (Management Committee) "High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)", 2015-2019.
• COST Action (MS Substitute of the action) "Big Data Era in Sky and Earth Observation (BIG-SKY-EARTH)", 2014-2018.
• "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)
• "Theoretical and engineering aspects of development and application of the internet technologies in the effective computing platforms". Project of the National Integrated Program of Information Technologies. Leader prof. habil. dr. G. Dzemyda. 2012-2015.
• Development of Data Analysis Methods and Tools (2013-02-12 Agreement between "Informatikos mokslų centras" and Vilnius University)
• Project "Gilibert" of the Bilateral Lithuanian-France research program "Application of data mining methods for investigation of software systems" (V-33/2010). Dr. J. D. Besson (leader) (2009 04 07 - 2010 12 31)
• "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.

Presentations at Scientific Conferences

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Other Information

Memberships and other information

• Expert of FP7-ICT Committee (2013) 
• Member of Lithuanian Computer Society, http://www.liks.lt/
• Member of Lithuanian Mathematical Society, http://www.mif.vu.lt/lmd/
• Member of SERVICE COMPUTATION 2014, 2015, 2016 Technical Program Committee

Honours and awards

• ICAISC'06 Best Presentation Award (The 8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006)
• ICANNGA 2007 Best Young Researcher Paper Award in the area of Neural Networks (The 8th International Conference ICANNGA 2007)

Reviewer of International Journals

• Informatica (IOSPress/VU);
• Mathematical Modelling and Analysis (Taylor & Francis);
• Journal of Global Optimization (Springer);
• Pattern Recognition Letters (Elsevier);
• The Baltic Journal of Road and Bridge Engineering (Technika/VGTU, Lithuania);
• Baltic Journal of Modern Computing;
• Applied Computing and Informatics (Elsevier).

Membership of Scientific Societies

• IEEE https://www.ieee.org/

PhD Supervision

Leads PhD Students:

• Jaroslava Arsenjeva „“ 2018-2024
• Arnoldas Budžys „“ 2020-2024