Medvedev Viktor - Institute of Data Science and Digital Technologies

Scientific and Pedagogical Background

Senior Researcher
Research in Data Analysis and Visualization, Cloud Computing, Big Data, Optimization, Parallel Computing, Neural Networks
Vilnius University, Institute of Mathematics and Informatics (http://www.mii.lt/)

Education and Training

2003–2007 Ph.D. (Technological Sciences, Informatics Engineering )
Topic of the thesis: “Research of Multidimensional Data Visualization Using Feed-forward Neural Networks”
Vilnius Gediminas Technical University and Institute of Mathematics and Informatics (Lithuania)

Research Interests

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:

Budžys, Arnoldas; Kurasova, Olga; Medvedev, Viktor. Behavioral biometrics authentication in critical infrastructure using siamese neural networks // HCI for cybersecurity, privacy and trust: 5th international conference, HCI-CPT 2023, held as part of the 25th HCI international conference, HCII 2023. Copenhagen, Denmark, July 23–28, 2023 : proceedings. Cham : Springer, 2023. ISBN 9783031358210. eISBN 9783031358227. p. 309-322. (Lecture notes in computer science, ISSN 0302-9743, eISSN 1611-3349 ; vol. 14045). DOI: 10.1007/978-3-031-35822-7_21.
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

Presentations at Scientific Conferences

Workshop of the European Chapter on Metaheuristics. Metaheuristics and Large Scale Optimization. Vilnius. 2005 m. gegužės 19–21 d.
Lietuvos matematikų draugijos XLVI konferencija. Vilnius, VU. 2005 m. birželio 15–16 d.
„Kompiuterininkų dienos-2005“. Klaipėda, KU. 2005 m. rugsėjo 15–17 d.
32nd International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2006. Merin, Čekija. 2006 m. sausio 21–27 d.
The 8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006. Zakopane, Lenkija. 2006 m. birželio 25–29 d. Pranešimas įvertintas ICAISC´06 Best Presentation Award.
The 8th International Conference ICANNGA 2007, Varšuva, Lenkija. 2007 m. balandžio 11–14 d. Pranešimas įvertintas ICANNGA 2007 Best Young Researcher Paper Award in the area of Neural Networks.
Tarptautinė koferencija (EurOPT-2008) „Nenutrūkstamas optimizavimas ir žiniomis grįstos technologijos", Lietuva, Neringa. 2008 m. gegužės 20–23 d.
XIII International Conference „Applied Stochastic Models and Data Analysis“ (ASMDA 2009), Lietuva, Vilnius. 2009 m. birželio 30 d. - liepos 3 d.
Lietuvos matematikų draugijos L konferencija. Vilnius, MII. 2009 m. birželio 18–19 d.
International conference, GraVisMa: Computer graphics, Vision and Mathematics, 2009 September 2-5, Pilzen, Czech Republic.
LIKS seminaras „Duomenų analizės metodai programų sistemoms“, 2009 m. gruodžio 10–12 d., Druskininkai, Lietuva.
15th International Conference Mathematical Modelling and Analysis. May 26-29, 2010, Druskininkai, Lithuania.
The conference „ITC Proposers Day“, 2010 m. rugsėjo 26–27, Briuselis, Belgija .
The conference „ITC Proposers Day“, 2011 m. gegužės 19–21, Budapeštas, Vengrija.
The conference „ITC Proposers Day“, 2012 m. rugsėjo 26–27, Varšuva, Lenkija.
3-asis tarptautinis seminaras „Duomenų analizės metodai programų sistemoms“, 2011 m. gruodžio 1–3 d., Druskininkai.
Europos Sąjungos 7-osios bendrosios programos temos "Informacinės ir ryšių technologijos" komiteto posėdis, BE; 2013.07.09-2013.07.11.
Europos Sąjungos 7-osios bendrosios programos temos "Informacinės ir ryšių technologijos" komiteto posėdis, BE; 2013.09.23-2013.09.24.
The conference „ITC Proposers Day“, 2014 m. spalio 9–10, Florencija, Italija.
IEEE International Conference on Tools with Artificial Intelligence – ICTAI 2014. Lapkričio 10–12, Limasolis, Kipras.
5-asis, 6-asis tarptautinis seminaras „Duomenų analizės metodai programų sistemoms“, 2014 m. gruodžio mėn., Druskininkai.
7-oji tarptautinė konferencija „Duomenų analizės metodai programų sistemoms“, Lietuva, Druskininkai, 2015 m. gruodžio 3–5 d.
The conference „ITC Proposers Day“, 2016 m. rugsėjo 26–27, Bratislava, Slovakia.
COST veiklos Nr. IC1406 „High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ darbo grupių mokslinis seminaras, Dublinas, Airija. 2016 m. balandžio 25-26 d.
8-oji tarptautinė konferencija „Duomenų analizės metodai programų sistemoms“, Lietuva, Druskininkai, 2016 m.
COST veiklos Nr. IC1406 „High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ darbo grupių posėdis ir darbo grupių mokslinis seminaras, Liuksemburgas. 2016 m. gruodžio 12 d.
The conference „ITC Proposers Day“, 2017 m. lapkričio 9–10, Budapest, Hungary.
COST veiklos Nr. TD1403 „Big Data Era in Sky and Earth Observation“ darbo grupių mokslinis seminaras, Brno, Čekija. 2016 m. balandžio 14-15 d.
COST veiklos Nr. IC1406 „High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ darbo grupių mokslinis seminaras, Palermas, Italija. 2017 m. kovo 26-27 d.
Belt and Road Forum, International Federation for Cloud Computing and Big Data, Pekinas, Kinija. 2017 m. beirželio 13 d.
The 9th China Cloud Computing Conference, Pekinas, Kinija. 2017 m. birželio 13-16 d.
ScanBalt Forum 2017, Talinas, Estija, 2017 m. spalio 18 d.
Lietuvos–Turkijos bendradarbiavimo renginys „LiTurCo“, Eskisehir, Turkija; 2017 m. gruodžio 4-5 d.
9-oji tarptautinė konferencija „Duomenų analizės metodai programų sistemoms“, Lietuva, Druskininkai, 2017 m.
Belt and Road Forum, International Federation for Cloud Computing and Big Data, Tianczinis, Kinija. 2018.05.12-2018.05.20
2nd World Intelligence Congress, Tianczinis, Kinija. 2018.05.14-2018.05.15
COST veiklos Nr. IC1406 „High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ darbo grupių mokslinis seminaras, Prancūziją, Fontenblo. 2018-03-18 iki 2018-03-21
10-oji tarptautinė konferencija „Duomenų analizės metodai programų sistemoms“, Lietuva, Druskininkai, 2018 m.
ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), MC & WG Meeting, 28-29 March 2019
11-oji tarptautinė konferencija „Duomenų analizės metodai programų sistemoms“, Lietuva, Druskininkai, 2019 m.
12-oji tarptautinė konferencija „Duomenų analizės metodai programų sistemoms“, Lietuva, Druskininkai, 2021 m.
32nd EURO Conference, Helsinki, Finland, 3 – 6 JULY 2022
13-oji tarptautinė konferencija „Duomenų analizės metodai programų sistemoms“, Lietuva, Druskininkai, 2022 m.
CISTI'2023 - 18th Iberian Conference on Information Systems and Technologies, Portugalija, Aveiras, 20-23 JUNE, 2023 m.

Other Information

Membership of Scientific Societies

Ph.D. Supervision

Structure

Staff