Marcinkevičius Virginijus - Institute of Data Science and Digital Technologies

Structure

Prof. Dr. Virginijus Marcinkevičius

Department: Intelligent Technologies Research Group, Artificial Intelligence Laboratory
Position: Professor, Senior Researcher, Head of Group, Head of Laboratory

Address: Akademijos str. 4, room 619, Vilnius

Tel: (+370 5) 210 9311
E-mail:

Research Work

Machine learning, Artificial Intelligence, Cybersecurity and Natural Language processing.

Institutional research theme “Theoretical and Applied Aspects of Machine Learning and Mathematical Modeling”. 2019–2023

Previous institutional research theme “Theoretical and Engineering Aspects of E-Service Technology Development and Application in High-Performance Computing Platforms”. 2017–2018

Let's collaborate:

Teaching

Scientific supervisor of PhD students (ICT and Cybersecurity):

1. Tomas Pranskevičius „Investigation of Visualization and Classification Algorithms in Contexts of Remote HPC Services/Nutolusių kompiuterinių išteklių technologijos poveikio vizualizavimo ir klasifikavimo algoritmams tyrimas“ (2011-2016). In 28/09/2017 defended PhD thesis „Investigation Of Multi-Class Classification Methods For Textual Data“ (abstract [in Lithuanian]).
2. Gediminas Bazilevičius „Technological Realization Problems of Virtual Health Care Services/Virtualios sveikatos priežiūros paslaugų teikimo įmonės realizavimo technologinės problemos“ (2011-2016). The thesis is prepared for defence.
3. Martynas Sabaliauskas „Research of Projection to the Plane of 3D Organic Origin Surfaces/Trimačių organinės prigimties objektų skaitmeninių modelių projektavimo į plokštumą tyrimas“ (2012-2016). In 26/05/2017 defended PhD thesis „Computerized Modeling Technology Of Unique Footwear Surface Manufacturing Design“ (abstract [in English]).
4. Vytautas Jakštys „Improvement of Digital Images Contrast by Using Chromatic Aberration Elimination Methods/Skaitmeninių vaizdų kontrastiškumo didinimas panaudojant chromatinės aberacijos šalinimo metodus“ (2013-2017). Defended on 11th of June 2018, „Application of Contour Detection Methods to Lateral Chromatic Aberration Reduction in Eye Fundus Images and Road Surface Defect Detection“ [in Lithuanian] (abstract [in English]).

5. Rokas Jurevičius „Vision based localization and and navigation of autonomous helicopter/Autonominio sraigtasparnio lokalizacija ir navigacija vizualinės informacijos pagalba“ (2014-2018). Defended on 24th September 2019 „Investigation of Particle Filter Based Visual Localization for Unmanned Aerial Vehicle Flights at Low-Altitude“ (abstract [in Lithuanian]).

6. Liudas Ališauskas „Artificial intelligence methods for network intrusion detection systems/“ (2016-2022).
7. Raimundas Savukynas „Investigation and Improvement of Multimodal Method for Internet of Things Objects Identification and Authentication/Multimodalinio daiktų interneto objektų identifikavimo ir autentifikavimo metodo tyrimas ir tobulinimas“ (2016-2020). Partly supervised by prof. D. Dzemydienė.
8. Mantas Stankevičius "Machine Learning for European Organization for Nuclear Research Compact Muon Solenoid experiment Data Certification/Europos branduolinių mokslinių tyrimų organizacijos kompaktiško miuonų solenoido eksperimento duomenų sertifikavimas pasitelkiant mašininio mokymo metodus" (2017-2023).
9. Povilas Jurčys "Neural machine translation for lithuanian language/Neuroninio mašininio vertimo pritaikymas lietuvių kalbai" (2017-2021).
10. Paulius Vaitkevičius "Machine Learning Based Open Source Intelligence Information Extraction and Analysis Methods/Mašininiu mokymusi grįstų atvirųjų šaltinių žvalgybos informacijos išskyrimo ir analizės metodai" (2018-2023).

11. Juneja Shubham "Imitacinio mokymosi ir giliųjų neuroninių tinklų taikymo mobiliųjų robotų navigacijai tyrimas/An investigation of deep imitation learning for mobile robot navigation" (2020-2024).

12. Paura Vytautas "Algoritmų, leidžiančių nustatyti medžiagos cheminę sudėtį, iš hiper-spektrinių duomenų tyrimas/Research of hyperspectral unmixing algorithms for the chemical composition of substances" (2020-2024).

13. Mantas Briliauskas "Autonominis nežinomos patalpų išžvalgymas panaudojant bepiločius orlaivius / Autonomous Exploration of Unknown Indoor Environments for Micro Aerial Vehicles" (2022-2026).

14. Brendonas Stakauskas "Giliais neuroniniais tinklais grįstų mašininio mokymo metodų taikymas viruso mutacijų trajektorijai prognozuoti / Application of Deep Neural Network-Based Machine Learning Methods to Predict the Trajectory of Viral Mutations" (2022-2026).

Co-supervisor:

1. Viktoras Bulovas "Applying Machine Learning Methods for Early Detection of Cyber Security Incidents/Mašininio mokymo metodų taikymas ankstyvajam kibernetinių incidentų aptikimui" (2017-2023).
2. Albertas Jurgelevičius "Distributed Public Computing for Big Data Mining/Viešųjų paskirstytų skaičiavimų platforma didelių duomenų tyrybai" (2016-2020). Defended on 16th December 2021 PhD thesis „Hybrid distributed computing sharing platform“ (Dissertation [in Lithuanian], Abstract [in English]).

3. Evaldas Normantas "Feature learning investigation for multi label classification of products image data" (2019-2023).
4. Tomas Silkinis "Investigation of generative adversarial networks for anomaly detection in high dimensional data" (2019-2023).

5. Šiktorov Pavel „Pasitikėjimimo metodų sukūrimas bei įvertinimas atviro kodo programinės įrangos tiekimo grandinėse“ / "Methods for creating and maintaining trust in open source sofware supply chain" (2021-2025).

Scientific publications

Main publication in the period 2019-2023:

1. Juneja, Shubham; Daniušis, Povilas; Marcinkevičius, Virginijus. Visual place recognition pre-training for end-to-end trained autonomous driving agent // IEEE access. Piscataway : Institute of Electrical and Electronics Engineers Inc. eISSN 2169-3536. 2023, vol. 11, p. 128421-128428. DOI: 10.1109/ACCESS.2023.3331678 (Impact Factor 2022: 3,9)

2. Paura, Vytautas; Marcinkevičius, Virginijus. Benchmark for hyperspectral unmixing algorithm evaluation // Informatica. Vilnius : Vilniaus universiteto leidykla. ISSN 0868-4952. eISSN 1822-8844. 2023, vol. 34, no. 2, p. 285-315. DOI: 10.15388/23-INFOR522. (Impact Factor 2021: 3,429)
3. Melnik-Leroy Gerda Ana, Aidokas Linas, Dzemyda Gintautas, Dzemydaitė Giedrė, Marcinkevičius Virginijus, Tiešis Vytautas, Usovaitė Ana, Is my visualization better than yours? Analyzing factors modulating exponential growth bias in graphs, Frontiers in Psychology 14 (2023), DOI: 10.3389/fpsyg.2023.1125810. 2023.1125810 (Impact Factor 2022: 4,232)
4. Jurgelevicius, A., Sakalauskas, L., & Marcinkevicius, V. (2021). Application of a Task Stalling Buffer in Distributed Hybrid Cloud Computing. Elektronika Ir Elektrotechnika, 27(6), 57-65. https://doi.org/10.5755/j02.eie.28679 (Impact Factor 2020: 1,128)
5. Bulavas, Viktoras; Marcinkevičius, Virginijus; Ruminski, Jacek. Study of multi-class classification algorithms' performance on highly imbalanced network intrusion datasets // Informatica. Vilnius : Vilniaus universiteto leidykla. ISSN 0868-4952. eISSN 1822-8844. 2021, vol. 32, iss. 3, p. 441-475. DOI: 10.15388/21-INFOR457. (Impact Factor 2020: 2,688)
6. Vaitkevičius, Paulius; Marcinkevičius, Virginijus. Comparison of classification algorithms for detection of phishing websites // Informatica. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas. ISSN 0868-4952. eISSN 1822-8844. 2020, vol. 31, no. 1, p. 143-160. DOI: 10.15388/20-INFOR404. . (ISI Web of Science. Scopus) (Impact Factor 2018: 1,928).

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

Scientific and Pedagogical Background

Scientific and other projects

1. Underlying Lithuanian scientific research and experimental development direction programme project „Information technologies for human health – support for clinical decisions (eHealth), IT health (No. C-03013); Start date: 09-2003; finish date: 10-2006.
2. High technologies development program project „Atherosclerosis pathogenesis peculiarities determined by human genome variety peculiarities (AHTHEROGEN) (No. U-04002)"; Start date: 04-2004; finish date: 12-2006.
3. High technologies development program project „Information technology tools of clinical decision support and citizens wellness for e.Health (No. B-07019)"; Start date: 09-2007; finish date: 12-2009.
4. Underlying Lithuanian scientific research and experimental development direction project „Genetinių ir genominių lūpos ir (arba) gomurio nesuaugimo pagrindų tyrimai (GENOLOG) (No. C-07022)"; Start date: 04-2007; finish date: 12-2009.
5. Integrated work program of Lithuania and France in the field of bilateral cooperation scientific research and experimental development „Žiliberas"; (No. V-09059). Start date: 04-2008; finish date: 12-2010.
6. „Eurotars" project „Production effective navigator" Nr. PEN!6232; Start date: 06-2011; finish date: 06-2014. Duties: project expert. Budget: 200 thousands Euro
7. Project of EU structural funds: "Theoretical and Engineering Aspects of E-Service Technology Development and Application in High-Performance Computing Platforms". No. VP1-3.1-ŠMM-08-K-01-010. Start date: 2012 finish date: 2015. Duties: project researcher. Budget: 347 thousands Euro.
8. ES structural funds project „Creation of the website integrating resources, products and services of the Lithuanian language and its writing", Nr. VP2-3.1-IVPK-12-K-01-003; Start date: 10-2012, finish date: 10-2015. Duties: project manager. Budget 300 thousands Euro.
9. Computer science center company project "DAta MIning System" (DAMIS). The goal of project is to develop of tool for data analysis, allowing researchers to investigate multidimensional data projection on a plane, the similarities between the data items, the influence of individual features and their relationships by visual analysis techniques, using the high performance computing resources (Vilnius University cluster and supercomputer). Tool will be integrated into MIDAS environment (http://www.inscience.lt/naujienos/Vykdomas%20Midas... in Lithuanian) Partners: Vilnius University, Institute of Mathematics and Informatics 2013 – 2015. Duties: Project supervisor and DAMIS GUI programmer. Budget: 80 thousands Euro.
10. Innovation voucher No. 43V-347 Short-term new books demand prediction model "/„Naujų knygų paklausos prognozavimo trumpuoju laikotarpiu modelis". Start date: 2014 finish date: 2015. Duties: project manager and researcher. Budget: 6 thousands Euro.
11. Innovation voucher No. 43V-408 "An investigation of genetic risk factors assessment methods"/„Genetikos rizikos faktorių įvertinimo metodų tyrimas". Start date: 2014 finish date: 2015. Duties: project manager and researcher. Budget: 6 thousands Euro.
12. ES structural funds project „Expansion of the website integrating resources, products and services of the Lithuanian language and its writing - Raštija 2", Nr. 02.3.1-CPVA-V-527-01-0005. Start date: 3-2018, finish date: 3-2021. Duties: project manager. Budget 390 thousands Euro.
13. COST action CA18131 Statistical and machine learning techniques in human microbiome studies. Start date: 11-2018, finish date: 3-2021. Duties: substitute.
14. Funding from European Social Fund (project No 13.1.1-LMT-K-718-05-0034) under grant agreement with the Research Council of Lithuania (LMTLT) “Innovative e-platform for the development of public statistical intuitions CognitiveSTATS for correcting the wrong understanding of the COVID-19 data (CognitiveSTATS) /Inovatyvi visuomenės statistinių intuicijų ugdymo e-platforma CognitiveSTATS klaidingam Covid-19 duomenų supratimui koreguoti (CognitiveSTATS)”. Start date: 11-2021, finish date: 9-2023. Duties: software architect. Budget 243 thousands Euro.
15. Funding from the Research Council of Lithuania (LMTLT). Project No S-VIS-23-8 “Propaganda and Disinformation Research: Automatic Recognition Using Machine Learning Techniques, Impact, and Public Resilience”. Start date: 9-2023, finish date: 9-2029. Duties: senior researcher. Budget 148 thousands Euro.

Qualification Courses