Faculty of Mathematics and Informatics

Faculty of Mathematics and Informatics

Sukurta: 08 July 2018

mifFaculty of Mathematics and Informatics
24 Naugarduko, LT-03225 Vilnius
47 Didlaukio, LT-08303 Vilnius
Tel. 219 3050, fax 215 1585
E-mail: ,
www http://www.mif.vu.lt

Dean – Prof. Dr. Gediminas Stepanauskas

 

miiInstitute of Mathematics and Informatics
4 Akademijos, LT-08663 Vilnius
Tel. 210 9300, fax 272 9209
E-mail:
http://www.mii.lt

Director – Prof. Dr. Habil. Gintautas Dzemyda

 

 

 

STAFF

160 teachers (incl. 98 holding research degree), 62 research fellows (incl. 53 holding research degree), 80 doctoral students.

Faculty of Mathematics and Informatics includes:


Institute of Data Science and Digital Technologies
Institute of Computer Science
Institute of Mathematics
Institute of Applied Mathematics
Digital Science and Computing Center

Till 2017:

Faculty of Mathematics and Informatics:
Department of Computer Science
Department of Computer Science II
Department of Didactics of Mathematics and Informatics
Department of Differential Equations and Numerical Analysis
Department of Econometric Analysis
Department of Mathematical Analysis
Department of Mathematical Computer Science
Department of Mathematical Statistics
Department of Probability Theory and Number Theory
Department of Software Engineering

Institute of Mathematics and Informatics:
Cognitive Computing Group
Cyber-Social Systems Engineering Group
Education Systems Group
Global Optimization Group
Operation Research Group
Statistics and Probability Group
Video and Signal Analysis Group

 

FACULTY OF MATHEMATICS AND INFORMATICS

24 Naugarduko, LT-03225 Vilnius
47 Didlaukio, LT-08303 Vilnius
Tel. 219 3050, fax 215 1585
E-mail: ,
www http://www.mif.vu.lt

Dean – Prof. Dr. Gediminas Stepanauskas

RESEARCH AREAS

Fundamental mathematics: number theory, probability theory and stochastic analysis, theory of differential equations, functional analysis
Informatics: recognition processes, data analysis and visualization, optimization, artificial intelligence, modelling of processes and systems, mathematical logic and discrete structures,  innovative educational methods
Informatics engineering: image and signal technologies, parallel computing, system engineering, computational experiments, applications of information technologies
Applied mathematics: methods of mathematical statistics, mathematical modelling, econometrics, finance and insurance mathematics, modern elementary mathematics and didactics

DOCTORAL DISSERTATIONS DEFENDED IN 2017

E. Bernackaitė. Ruin probability for inhomogeneous renewal risk model.

J. Damarackas. Spectral covariances and limit theorems for infinite-variance linear processes and fields.

L. Meška. Modified universality theorems for the Riemann and Hurwitz zeta-functions.

L. Naruševičius. Econometric assessment of bank stability.

K. Olechnovič. Methods for the analysis and assessment of the three-dimensional structures of proteins and nucleic acids: development and applications.

V. Stepas. Moments of additive functions defined on random assemblies.

L. Žvinytė. Discrete uniform limit law for additive functions.

MAIN CONFERENCES ORGANIZED IN 2017

Vilnius Conference in Combinatorics and Number Theory
58th Conference of Lithuanian Mathematical Society
International conference The Last 60 Years of Mathematical Fluid Mechanics: Longstanding Problems and New Perspectives (I)

 

DEPARTMENT OF COMPUTER SCIENCE

47 Didlaukio, LT- 08303 Vilnius
Tel. 219 50 10, fax. 215 1585
e-mail:

Head - Prof. Dr. Rimantas  Vaicekauskas

STAFF

Professors: Dr. R. Vaicekauskas, Dr. L. Laibinis (part-time), Habil. Dr. A. Žilinskas (part-time)
Associate professors: Dr. A. Mitašiūnas, Dr. A. Raudys (part-time).
Senior research fellows: Habil. Dr. Š. Raudys.
Lecturers: Dr. J. Andrikonis, Dr. D. Baronas (part-time), Dr. A. Birštunas, Dr. V. Dičiūnas, Dr. H. Giedra (part time), Dr. R. Kybartas (part-time), Dr. A. Lenkevičius (part-time), Dr. G. Skersys, Dr. G. Zlatkus (part-time), M. Eglinskas, S. Grigaitis (part time), A. Janeliūnas (part-time), V. Kiško (part-time), R. Masiulis (part-time), M. Plukas (part-time), I. Radavičius, L. Ričkus (part-time), J. Žagūnas.
Senior assistants: G. Graževičius (part-time), A. Grevys (part-time), M. Grubliauskis (part time), D. Lebedenko (part time), L. Litvinas (part-time), K. Mizara (part-time), A. Šaikūnas (part-time).

RESEARCH INTERESTS

Automated formal modelling and verification of software-based systems
Process capability assessment and improvement
Innovation, knowledge and technology transfer process modelling
Qualified electronic signature and applications
Error-correcting codes
Cloud computing
Global optimization, optimal design, visualization of multidimensional data
Computational intelligence and machine learning
Neural networks, pattern recognition
Colour and lighting applications
Modal logics. Artificial Intelligence
Financial data analysis using computation intelligence methods

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Advanced Computational Intelligence Methods in Computer Science  and its Applications in Information Technologies. Prof. Rimantas Vaicekauskas. 2017–2020.

A formalisation of a resilient goal-oriented multi-agent system and its essential properties is created. It covers the notions of system goals and agents, different interrelationships between them, as well as necessary constraints on the system dynamics to become more resilient in order to achieve the system goals.
The relationship between illuminance level and preferred correlated colour temperature is established.
The novel method based on Pareto optimised moving average smoothing for futures and stock trend predictions is developed.

Main publications:

Laibinis, L., Pereverzeva, I., Troubitsyna, E. 2017. Formal reasoning about resilient goal-oriented multi-agent systems. Science of Computer Programming, vol. 148, p. 66–87. 

Petrulis, A., Petkevičius, L., Vitta, P., Vaicekauskas, R., Žukauskas, A. 2017. Exploring preferred correlated color temperature in outdoor environments using a smart solid-state light engine. LEUKOS, The Journal of the Illuminating Engineering Society of North America, 10/2017(online version).

National Research Projects

Research Council of Lithuania. Colour Restoration In Cultural Heritage Objects Using Solid‐State Lighting (No. MIP-096/2015). Prof. R. Vaicekauskas. 2015–2018.

The objects of cultural heritage, such as paintings, textiles, and jewellery, are damaged by the environmental factors over the time. The restoration of these objects, which aims at revealing the original visual appearance, is highly resource demanding task that is often associated with destructive physical impact. The idea of the Project HeriLED was to investigate the possibility of recreating the original appearance of an damaged object using a lighting device having appropriate spectral power distribution that is comprised of light-emitting diodes (LEDs), when the assumed original visual appearance is available from an undamaged fragment. The study concluded that in general, the power of colour restoration with the use of spatially homogeneous illumination is limited due to the complex nature of spectral transformations of aged pigments and also due to limitations of lighting technology itself. The developed prototype of innovative lighting device will enable further research into the applications of metameric lighting sources.

Research Council of Lithuania. Modeling Investment Portfolio Using Quantum Chaos (No. MIP-100/2015). Assoc. Prof. A. Raudys. 2015–2017.

The aim of the project is the analysis of regularities of environment’s changes in the financial markets, building up methods to detect them and using the regularities while developing the portfolio weights calculation algorithms, to validate novel methods in the practical work. Artificially generated multidimensional semi-chaotic signals will be used to mimic financial indicators by novel quantum chaos model. The model was suggested by the project authors’. It is based on signal propagation in multi-group excitable media composed of cellular automaton mimicking neural networks schemes. The results of the economy and finance simulation will be used to justify the ways of portfolio design. Contrary to existing schemes, the new solution will allow inclusion of feedback loops, assess the periodic and non-periodic fluctuations in the environment in evolving portfolio scheme. Novel methods will be checked carefully by applying them in practical work with real world, large scale financial data obtained from Lithuanian partners and international data bases.

Main publications:

Petrulis, A., Vitta, P., Aglinskaitė, J., Vaicekauskas, R., Žukauskas, A. 2017. Metameric light sources: a recent paradigm for functional lighting. Proc. Latvian Acad. Sci., Section B, vol. 71, no. 5, p. 366–371.

Raudys, A., Blažiūnas, S., Žvirblis, L., Plikynas, D. 2017. Atomic order execution tactics in futures markets. Information Technology and Control, vol. 46 (1), p. 70–85.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

Office of the Government of the Republic of Lithuania
University of Bremen (Germany)‎
Fraunhofer Institute for Factory Operation and Automation IFF Magdeburg (Germany)
Jawaharlal Nehru University, New Delhi (India)
Nanjing University (China)

OTHER SCIENTIFIC ACTIVITIES

Prof. Habil. Dr. Š. Raudys –

Prof. L. Laibinis –

  • Reviewer of the Formal Aspects of Computing;
  • program committee member of the ICIST international conference on Information and Software Technologies;
  • program committee member of the SERENE International Workshop on Software Engineering for Resilient Systems.

Prof. Habil. Dr. A. Žilinskas –

Assoc. Prof. A. Mitašiūnas –

  • editorial advisory board member of the international Journal of Applied Science and Engineering, http://www2.tku.edu.tw/~tkjse /;
  • advisory board member of international working group Enterprise SPICE on software process assessment and improvement;
  • board member of the National Software and Services Technology Platform.

Assoc. Prof. A. Raudys –

  • reviewer of the European Journal of Finance.  

 

DEPARTMENT OF COMPUTER SCIENCE II

24 Naugarduko, LT-03225 Vilnius
Tel. 219 3091, fax 215 1585
47 Didlaukio, LT-08303 Vilnius
Tel. 219 5020
E-mail: ;

Head – Assoc. Prof. Dr. Tadas Meškauskas

STAFF

Professors: Habil. Dr. F. Ivanauskas (Professor Emeritus), Dr. A. Juozapavičius, Dr. T. Meškauskas.
Associate Professors: Dr. L. Bukauskas, Dr. E. Janiūnienė (part-time), Dr. K. Karčiauskas, Dr. P. Kasparaitis (part-time), Dr. R. Krasauskas, Dr. S. Zubė.
Assistant Professors: Dr. M. Beniušė, Dr. A. Brilingaitė, Dr. A. Čivilis, Dr. J. Katina (part-time), Dr. V. Rapševičius.
Lecturers: Dr. V. Čeikutė, Dr. J. Ignatavičiūtė, Dr. M. Puida (part-time), Dr. J. Tamulienė (part-time), L. Antanaitis (part-time), L. Būtėnas, T. Dagys (part-time), E. Kutka, V. Krinickij (part-time), T. G. Lipnevičius (part-time), R. Malakauskas, R. Markauskas (part-time), K. Mickus, V.Okockis (part-time), B. Šulmanas (part-time).
Research fellow: Dr. K. Karčiauskas.
Doctoral students: R. Astrauskas, G. Dreižas, A. V. Misiukas Misiūnas, A. Nečiporenko, T. Raila.

RESEARCH INTERESTS

Methods and applications of non-linear and computational modelling, computational geometry
Methods of computer vision, medical imaging, digital imaging, speech and signal processing, data structures and algorithms
Computational modelling of chemical and biological processes and systems
Internet technology and information systems
Location based services and database management systems
Computer networks
Cloud and parallel computing, virtualization
Cyber security
Education in Computer Science

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects supported by University Budget

Research and Analysis of Methods for Nonlinear, Numerical, Computational and Geometric Modelling, Design and Analysis of Data Base and Data Mining Methods, Image, Signal and Visual Processing. Dr. T. Meškauskas. 2016–2019.

New way to create smooth piecewise polynomial free-form spline surfaces from quad meshes with T-junctions was developed.
New lower degree rational parametrizations of quadric offsets in the space were obtained.
Distinct nonlocal boundary condition model and numerical experiments subject to PID-controlled flow-through bioreactor was analysed.
Modelling of accuracy for scanning electrochemical microscopy at redox competition mode using diffusion-reaction equations was investigated.
A novel algorithm for automatic classification of interictal EEG (electroencefalogram) spikes according to the epilepsy type (Group I – patients with benign focal childhood epilepsy, Group II – patients with structural focal epilepsy) was proposed.
Methods for Cyber Security awareness and infrastructure protection were researched.
The modification of Problem-Based Learning model was developed, and results of model integration were presented.
An overview of recent Lithuanian text-to-speech synthesis applications has been done.
CERN CMS Data Quality Monitoring and Data Certification, Internet of Things and Indoor Navigation have been dealt with.
3D reconstruction of SEM (scanning electron microscope) images was analysed.

Main publications:

Karčiauskas, K., Panozzo, D., Peters, J. 2017. T-junctions in spline surfaces. ACM Transactions on Graphics, vol. 36, Iss. 5, 9 p.

Karčiauskas, K., Peters, J. 2017. Improved shape for refinable surfaces with singularly parameterized irregularities. Computer-Aided Design, vol. 90, p. 191–198.

Ivanauskas, F., Laurinavičius, V., Sapagovas, M., Nečiporenko, A. 2017. Reaction-diffusion equation with nonlocal boundary condition subject to PID-controlled bioreactor. Nonlinear Analysis: Modelling and Control, vol. 22, no. 2, p. 261–272.

National Research Projects

Cyber Shield 2017, Dr. L. Bukauskas. 2017 and Gintarinė migla 2017, Dr. L. Bukauskas. 2017.

The development of Defence-oriented Cyber Security Training Platform and infrastructure and the development of methodologies and experimental incident evaluation of process handling in Cyber Security Training Platform (Table-top) for Cyber Security Exercises.

High Precision Client Identification and Navigation in Amusement Parks (Intelektas 2017). Dr. V. Rapševičius. 2017.

International Research Projects

EU Horizon 2020 project. Supercomputing Expertise for Small and Medium Enterprises (Sesame NET). (No. 654416). E. Kutka, 2015–2017.

Supporting one network of HPC competence centres promote access to computational expertise anywhere in Europe and enable the dissemination of best practice in HPC industrial use particularly for SMEs.

CMS Software and Data Bases. Prof. A. Juozapavičius, Dr. V. Rapševičius, 2017.

Project aims to develop web-based monitoring, detector databases and DB loader as a part of CMS Collaboration software. Tasks involve baseline calculations, monitoring, control and execution of infrastructural environment, creating software development tools for innovation, accountability and training. Applications are used to manage and monitor data to visualize the results for subdetektoriams HCAL, Pixels, GEM (Gas Electron Multiplier), HGC (High Granularity Calorimeter).

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

Aalborg University (Denmark)
CERN (Switzerland)
JSC Nanoavionics (Lithuania)
University of Bozen-Bolzano (Italy)
University of Tartu (Estonia)

OTHER SCIENTIFIC ACTIVITIES

Prof. Emeritus F. Ivanauskas –

  • Chairman of the Division of Mathematical, Physical and Chemical Sciences of the Lithuanian Academy of Sciences, http://lma.lt/index.php?lang=lt;
  • member of the Lithuanian Academy of Sciences;
  • President of the Council of Visoriu Information Technology Park, http://www.vitp.lt/lt/apie-vitp/taryba;
  • editor-in-chief of the journal Nonlinear Analysis: Modelling and Control, http://www.mii.lt/NA/;
  • editorial board member of the Lithuanian Mathematical Journal, http://www.springer.com/mathematics/journal/10986?detailsPage=editorialBoard;
  • editorial board member of the Journal of Civil Engineering and Management;
  • editorial board member of the journal Mathematical Modelling and Analysis;
  • board member of the Council of Vilnius University;
  • board member of Lithuanian Mathematicians Association;
  • board member of the Council of Fundamental Sciences Faculty of Vilnius Gediminas Technical University.

Prof. A. Juozapavičius –

  • editorial board member of the journal Nonlinear Analysis: Modeling and Control, http://www.mii.lt/NA/;
  • deputy chairman in CMS Collaboration (CERN).

Assoc. Prof. L. Bukauskas –

  • member of ACM Special Interest Group on the Management of Data (SIGMOD);
  • board member of Technical Committee No. 86 for digital geographic information at the Department of Standardization.

Assoc. Prof. R. Krasauskas –

Assist. A. Brilingaitė –

  • member of Association for Computing Machinery (ACM).

 

DEPARTMENT OF DIDACTICS OF MATHEMATICS AND INFORMATICS

24 Naugarduko, LT-03225 Vilnius
Tel. 219 3086
E-mail: 

Head - Assoc. Prof. Dr. Edmundas Mazėtis

STAFF

Professor: Dr. V. Dagienė (part-time).
Associate professors: Dr. A. Elijio, Dr. E. Gaigalas, Dr. T. Jevsikova (part-time), Dr. R. Kašuba, Dr. E. Mazėtis.
Affiliate associate professor: Dr. R. Kudžma.
Lecturer: Dr. Š. Repšys, Dr. A. Novikas.

RESEARCH INTERESTS

Research of paradigms, prevailing in mathematics and informatics (IT) teaching in secondary school and university
Research of mathematical problems and mathematical models
Development of working methods with children gifted in mathematics and informatics

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Analysis of Mathematics and Informatics (IT) Teaching Methods and Applications. Prof. V. Dagienė. 2014–2019.

Positive psychological consequences of effective moments in problem solving and posing as well as their influence to the human creativity have been analysed.
A. J. Greimas’s semiotics is being applied for analysis of mathematics texts what allows to evaluate the quality of these texts.
A. J. Greimas’s semiotic theory was applied for analysis of function’s portrait drawing problem.
Investigation of the priorities for choosing subjects and external as well as internal motives that predetermine them examines the issues of self-reflection on choosing exact subjects and analyses the links between the choice of exact subjects and the further professional learners’ career.
Investigation of practical methods of problem posing in mathematical texts and contests and the perception of mathematical contents during the lectures delivered for the engaged students of Vilnius University.
Exploration of opportunities of teaching informatics in Primary Education.

Main publications:

Kašuba, R. 2017. From the lifetime experience of a seasoned math. Educator – thoughts, hopes, views and impressions. Chapter 11, p. 271–302 in ICME-13 Monographs Competitions for Young Mathematicians, Perspectives from Five Continents, Springer.

Kašuba, R. 2017. Sample problems from the 18th Lithuanians Mathematics Olympiad for Youngsters. Newsletter of the International Group for Mathematics Creativity and Giftedness, p. 9–10.

Kirjackis, J., Mazėtis, E., Melničenko G. 2017. Stačiųjų trikampių egzistavimo ir vienaties problema (Problem of existence and solitude of the right triangles). Liet. matem. rink., Ser. B, vol. 58, p. 33–38.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

University of Eastern Finland
University of Ljubljana (Slovenia)
Tartu University (Estonia)
Uppsala University (Sweeden)
University of Novy Sad (Serbia)

OTHER SCIENTIFIC ACTIVITIES

Prof. V. Dagienė –

  • chair of International Contest on Informatics and Computational Thinking BEBRAS: http://bebras.com;
  • national coordinator of project FETCH Future Education and Training in Computing: How to support learning at anytime anywhere under Life-long Learning programme;
  • vice chair of the international Committee TC3 of IFIP (International Federation for Information Professing);
  • referee of scientific papers and books of the International Journal Zentralblatt;
  • member of the International Committee of IOI (International Olympiad in Informatics);
  • editorial board member of the journal International Journal of Instruction, http://www.e-iji.net/ ;
  • editorial board member of the journal Acta Pedagogica Vilnensia, http://www.vu.lt/leidyba/lt/mokslo-zurnalai/acta-paedagogica-vilnensia/redakcine-kolegija.

Assoc. Prof. T. Jevsikova –

Assoc. Prof. R. Kašuba –

Affiliate Assoc. Prof. R. Kudžma –

  • editorial committee member of the journal Nordisk Matematikk Didaktikk, Nordic Studies in Mathematics Education;
  • board member of Lithuanian Mathematical Society, http://www.mif.vu.lt/lmd/.

Assoc. Prof. E. Mazėtis –

Dr. A. Novikas –

Dr. Š. Repšys –

 

DEPARTMENT OF DIFFERENTIAL EQUATIONS AND NUMERICAL ANALYSIS

24 Naugarduko, LT-03225 Vilnius
Tel. 219 3098,  fax 215 1585
E-mail: 

Head - Prof. Habil. Dr. Konstantinas Pileckas

STAFF

Professors: Habil. Dr. K. Pileckas, Dr. A. Ambrazevičius, Dr. O. Štikonienė, Dr. A. Štikonas (part-time).
Research fellow: Habil. Dr. K. Pileckas.
Affiliate professor: Dr. V. Skakauskas.
Associate professors: Dr. P. Katauskis, Dr. A. Kregždė, Dr. M. Meilūnas (part-time), Dr. G. Puriuškis, Dr. S. Rutkauskas (part-time), Lecturers: Dr. A. Domarkas, Dr. A. Kavaliauskas Dr. K. Kaulakytė, Dr. M. Skujus.
Doctoral students: A. Eismontaitė, G. Paukštaitė.

RESEARCH INTERESTS

Investigation of differential, integrodifferential and nonlocal equations; analysis and numerical methods

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Investigations of Solutions to Differential and Integro-differential Equations. Prof. K. Pileckas. 2014–2017.

The Dirichlet boundary value problem for the time-periodic Stokes system is studied in a 3D-layer. For suitably decaying data the full asymptotic decomposition of the solution is constructed for large x and justified by estimates for the remainder. The decay conditions for the data and the estimates for the remainder are formulated in weighted Sobolev spaces with power-type weights.
The stationary nonhomogeneous Navier-Stokes problem in a two-dimensional symmetric domain with a semi-infinite outlet (for instance, either paraboloidal or channel-like) is studied.  Under the symmetry assumptions on the domain, boundary value and external force, the existence of at least one weak symmetric solution is proved without any restriction on the size of the fluxes (only the necessary compatibility condition (the total flux is equal to zero) has to be satisfied). The Dirichlet integral of the solution can be finite or infinite depending on the geometry of the domain.
Mathematical models described by a coupled system of parabolic equations are considered. Some of them are defined in a domain and the other ones have to be solved on the domain surface. The existence and uniqueness theorem for the classical solution to these models is proved. The long-time behavior of the solutions is also investigated.

Main publications:

Pileckas, K., Specovius-Neugebauer, M. 2017. Spatial behavior of solutions to the time periodic Stokes system in a three dimensional layer. Journal of differential equations, vol. 263, iss. 10, p. 6317–6346.

Chipot, M., Kaulakytė, K., Pileckas, K., Xue, W., 2017. On nonhomogeneous boundary value problems for the stationary Navier-Stokes equations in two-dimensional symmetric semi-infinite outlets. Analysis and applications, vol. 15, iss. 4, p. 543–569.

Ambrazevičius, A., Skakauskas, V. 2017. Solvability of a model for monomer-monomer surface reactions. Nonlinear analysis: real world applications, vol. 35, p. 211–228.

National Research Projects

Research Council of Lithuania. Differential Equations with Non-classical Boundary Conditions (No. S-MIP-17-65). Prof. P. Katauskis. 2017–2020.

Research Council of Lithuania.  Navier-Stokes Equations Under General Adherence Boundary Condition (No. S-MIP-17-68). Prof. K. Pileckas. 2017–2020. 

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

University of Zurich, Zurich (Switzerland)
University of Saint Etienne, Saint Etienne (France)
Seconda Università degli Studi di Napoli, Caserta (Italy)
University of Kassel (Germany)
University of Novosibirsk, Novosibirsk (Russia)

OTHER SCIENTIFIC ACTIVITIES

Prof. K. Pileckas –

Prof. O. Štikonienė –

Prof. A. Štikonas –

Assoc. Prof. S. Rutkauskas –

 

DEPARTMENT OF ECONOMETRIC ANALYSIS

24 Naugarduko, LT-03225 Vilnius
Tel. 219 3076
E-mail:

Head – Prof. Habil. Dr. Alfredas Račkauskas

STAFF

Professors: Habil. Dr. V. Čekanavičius, Habil. Dr. R. Leipus, Habil. Dr. R. Norvaiša, Habil. Dr. A. Račkauskas, Habil. Dr. M. Radavičius (part-time).
Associate professor:  Dr. G. Murauskas.
Lecturers: Dr. D. Celov, Dr. R. Malukas (part-time), Dr. J. Markevičiūtė,   Dr. V. Zemlys,  A. Buteikis (part-time), S. Iždonaitė-Karalevičienė (part-time ), V. Maniušis,  T. Marčiulaitis (part-time), Dr. A. Reklaitė (part-time).
Doctoral students: A. Buteikis, J. Gudan,  J. Jarutis, S. Jokubaitis, V. Jurgelevičius, L. Naruševičius,  M. Tartėnas.

RESEARCH INTERESTS

Time series analysis, financial econometrics
Functional data analysis
Limit theorems in probability and their applications to statistics and econometrics
Bootstrap and other resampling methods in statistics and econometrics
Macroeconometric modelling
High frequency data analysis

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Analysis and Applications of Functions and Stochastic Systems. Prof. A. Račkauskas. 2016–2021.

  1. Rough functions analysis;
  2. Functional data analysis;
  3. Approximation of stochastic systems;
  4. Investigation of long memory processes.

The properties of estimators in dynamic panel models with random coefficients and various asymptotic properties were obtained. Corresponding statistical procedures for testing long memory in panel RCAR data were designed. Weak invariance principle for martingale differences was proved in Besov spaces. 

Main publications:

Markevičiūtė, J., Račkauskas A., Charles Suquet. 2017. Testing epidemic change in nearly nonstationary process with statistics based on residuals. Statistical Papers, vol. 58, no 3, p. 577–606.

Upadhye, N., Čekanavičius, V., Vellaisamy, P. 2017. On Stein operators for discrete approximations. Bernoulli. Voorburg: International Statistical Institute, vol. 23, no. 4A, p. 2828–2859. 

Leipus, R., Philippe, A., Pilipauskaitė, V., Surgailis, D. 2017. Nonparametric estimation of the distribution of the autoregressive coefficient from panel random-coefficient AR(1) data. Journal of Multivariate Analysis, vol. 153, p. 121–135.

National Research Projects

Research Council of Lithuania. Mathematical Foundations of Data Analysis. (No. S-MIP-17-76). Prof. A. Račkauskas. 2017–2020.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

University of Lille (France)
University of Nantes (France)
York University (England)
Tilburg University (The Netherlands)
Karol Adamiecki University of Economics in Katowice (Poland)

OTHER SCIENTIFIC ACTIVITIES

Prof. A. Račkauskas –

Prof. V. Čekanavičius –

Prof. R. Leipus –

Prof. R. Norvaiša –

 

DEPARTMENT OF MATHEMATICAL ANALYSIS

24 Naugarduko, LT-03225 Vilnius
Tel. 219 3074
E-mail:

Head – Prof. Dr. Jonas Šiaulys

STAFF

Professors: Dr. G. Bakštys (Partnership), Dr. A. Linartas (Partnership),  Habil. Dr. V. Mackevičius, Habil. Dr. V. Paulauskas (Professor Emeritus), Dr. G. Stepanauskas, Dr. J. Šiaulys.
Associate professors:  Dr. M. Manstavičius, Dr. A. Plikusas.
Lecturers: Dr. A. Juozulynas, Dr. A. Lenkšas, Dr. D. Puplinskaitė, Dr. A. Skučaitė, Dr. J. Damarackas.
Doctoral students: G. Bagdonas,  J. Damarackas, E. Ignatavičiūtė, R. Gylys, V. Jurgelevičius, G. Lileika, G. Mongirdaitė, L. Žvinytė.

RESEARCH INTERESTS

Mathematical analysis
Functional analysis
Limit probability theorems in infinite-dimensional spaces
Stochastic analysis
Stochastic numerics
Actuarial mathematics
Financial mathematics
Risk theory

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Studies of Random Processes and Fields and their Applications in Financial and Actuarial Mathematics. Prof. J. Šiaulys. 2016–2021.

The asymptotic formula was obtained for the finite-time ruin probability in the inhomogeneuos risk renewal model. The closure property was established for exponential distributions with respect to the random sum in the case of not identically distributed summands. The new asymptotic formula was derived for the distribution tail of the randomly weighted and stopped sum.
A new class of measures of dependence for random variables with infinite variance was consideretd.
The regularity properties of solutions of the backward Kolomogorov equations related to positive procees were studied. Second-order approximations of positive solutions of general SDEs by discrete random variables were constructed and studied.
A new class of functions for the tail index estimation was proposed.  Using the Monte-Karlo simulations several tail index estimators were compared.
The criteria were derived for the finiteness of the strong p-variation for Levy processes.   New bounds for the multivariate Clayton copula were obtained.  

Main publications:

Bernackaitė, E., Šiaulys, J. 2017. The finite-time ruin probability for an inhomogeneous renewal risk model. Journal of Industrial and Management Optimization, vol. 13, no. 1, p. 207–222.

Paulauskas, V., Vaičiulis, M. 2017. A class of new tail index estimators. Annals of the Institute of Statistical Mathematics, vol. 69, iss. 2, p. 461–487.

Manstavičius, M., Leipus, R. 2017. Bounds for the Clayton copula. Nonlinear Analysis: Modelling and Control, vol. 22, no 2, p. 248–260.

National Research Projects

Research Council of Lithuania. Inhomogeneous Risk Models in Insurance and Finance (No S-MIP-17-72). Prof. Jonas Šiaulys. 2017–2020.

International Research Project

Nordplus Higher Education NPHE-2017/10119 – Network FinEng/2017. Assoc. Prof. M. Manstavičius.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

University of Nantes (France)
Taras Shevchenko National University of Kyiv (Ukraine)
Mälardalen University (Sweden)
University of Bonn (Germany)
Nanjing Audit University (China)

OTHER SCIENTIFIC ACTIVITIES

Prof. V. Mackevičius –

Prof. V. Paulauskas (emeritus) –

Prof. J. Šiaulys –

Prof. G. Stepanauskas –

Assoc. Prof. G. Bakštys –

Dr. M. Manstavičius –

Dr. A. Skučaitė –

 

DEPARTMENT OF MATHEMATICAL COMPUTER SCIENCE

47 Didlaukio, LT-08303 Vilnius
Tel. 219 5030 fax. 2151585
Email:

Head – Assoc. Prof. Dr. Vilius Stakėnas

STAFF

Professors: Habil. Dr. M. Bloznelis, Dr. S. Gražulis (part-time), Habil. Dr. Ž. Lukšienė (part-time).
Associate professors: Dr. G. Bareikis, Dr. A. Mačiulis, Dr. V. Stakėnas, Dr. V. Zacharovas.
Lecturers: I. Grinis, M. Kepalas (part-time), A. Košuba (part-time), G. Košubienė (part-time), K. Kvederavičiūtė (part-time), A. Merkys (part-time).
Research fellow: Dr. G. Alkauskas.

RESEARCH INTERESTS                 

Probabilistic analysis of number-theoretical structures
Combinatorial statistics
Random discrete structures and algorithms

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Analysis of Discrete Structures by Probabilistic, Combinatorial and Analytical Methods. Prof. M. Bloznelis, Assoc. Prof.  A. Mačiulis. 2017–2022.

Correlation between neighbouring edges determines the degree-degree distribution and scaling of local clustering coefficient. These important characteristics were determined for a class of random intersection graphs.
An asymptotic formula for the local density of generalized omega function was obtained.
The value distribution of polynomial-like functions defined on Farey functions was found.

Main publications:

Bareikis, G., Mačiulis, A. 2017. Modeling the beta distribution using multiplicative functions. Lithuanian Mathematical Journal, vol. 57, no 2, p. 171–182.

Bloznelis, M., Kurauskas, V. 2017. Large cliques in sparse random intersection graphs. The Electronic Journal of Combinatorics, vol. 24(2), p. 2.5 pdf. Preliminary and extended version arxiv.org/abs/1302.4627.

Bloznelis, M. 2017. Degree-degree distribution in a power law random intersection graph with clustering. Internet Mathematics. (Journal publication). Technical report arXiv:1411.6247.

National Research Projects

Research Council of Lithuania. Structural Functional Equations: Projective Flows, Transfer Operators, Minkowski Question Mark Function, and Modular Forms (No MIP-072/2015). Dr. G. Alkauskas. 2015–2018.

In the first publication, the needed ingredients and missing parts of the proof for the classification of 2-dimensional rational projective plane flows are provided, and all steps are now is complete. The main ingredient is a "bootstrapping" trick, applied to the fundamental ODE. With this method in mind, now the higher dimensional classification of rational projective flows seems to be much more tractable.
In the first publication, the generating return function, associated with Cayley graph for the group Z/(2)*Z/(3) (the modular group), was calculated. The problem arises as a necessary ingredient for analytic continuation of a bivariate analytic function, the so-called mean modular form, which is deeply related to the Minkowski question mark function.

Main publications:

Alkauskas, G. 2017. The projective translation equation and rational plane flows. II Corrections and additions. Aequationes mathematicae, vol. 91, iss. 5, p. 871–907.

Alkauskas, G. 2017. The modular group and words in its two generators. Lithuanian Mathematical Journal, vol. 57, no. 1, p. 1–12.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

Aalto University (Finland)
Poznan Adam Mickiewicz university (Poland)

OTHER SCIENTIFIC ACTIVITIES

Dr. G. Alkauskas –

Assoc. Prof. G. Bareikis –

Prof. M. Bloznelis –

Assoc. Prof. A. Mačiulis –

Assoc. Prof. V. Stakėnas –

 

DEPARTMENT OF MATHEMATICAL STATISTICS

24 Naugarduko, LT-03225 Vilnius
Tel. 219 3065, fax. 215 1585
E-mail:

Head – Prof. Dr. Vytautas Kazakevičius

STAFF

Professors: Habil. Dr. V. Bagdonavičius, Dr. V. Kazakevičius.
Affiliate professor: Dr. J. Kruopis.
Associate professors: Dr. R. Eidukevičius, Dr. R. Levulienė, Dr. V. Skorniakov, Dr. M. Vaičiulis (part-time).
Doctoral student: S. Staskevičiūtė.

RESEARCH INTERESTS

Statistical methods in reliability theory and survival analysis and their applications
Asymptotic analysis of distributions of statistics, their approximations and applications

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Models of Mathematical Statistics, their Analysis and Applications. Prof. V. Bagdonavičius. 2015–2019.

New tests for testing the absence of cross effects of hazard functions using parametric approach for Weibull, loglogistic and lognormal models were constructed and the power of tests was investigated. New smooth GOF tests for location-scale distribution families were proposed and the power of tests was analysed. New outlier detection tests were constructed.
The rate of convergence of an estimator of the Hurst index for a stochastic differential equation driven by fractional Brownian motion was obtained.

Main publications:

Kazakevičiūtė, A., Kazakevičius V., Olivo Malini. 2017. Conditions for existence of uniformly consistent classifiers. IEEE Transactions on Information Theory, vol. 63, no 6, p. 3425–3432.

Kubilius, K., Skorniakov, V. 2017. A short note on a class, conditions of statistics for estimation of the Hurst index of fractional Brownian motion. Statistics Probability Letters, vol. 121, p. 78–82.

Kubilius, K., Skorniakov, V., Ralchenko K. 2017. The rate of convergence of the Hurst index esitimate for a stochastic differential equation. Nonlinear Analysis: Modelling and Control, vol. 121, p. 78–82.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

Padova University (Italy)

OTHER SCIENTIFIC ACTIVITIES

Prof. V. Bagdonavičius –

Prof. V. Kazakevičius, Assoc. Prof. R. Eidukevičius, Affil. Prof. J. Kruopis, Dr. R. Levulienė, Dr. V. Skorniakov, Dr. M. Vaičiulis –

  • members of the Lithuanian Mathematical Society.

 

DEPARTMENT OF PROBABILITY THEORY AND NUMBER THEORY

24 Naugarduko, LT–03225 Vilnius
Tel.: 219 3081
E-mail:

Head - Prof. Habil. Dr. Artūras Dubickas

STAFF

Professors: Dr. R. Garunkštis (part-time), Habil. Dr. E. Manstavičius.
Chief research fellows: Habil. Dr. A. Dubickas, Dr. R. Garunkštis (part-time), Habil. Dr. A. Laurinčikas.
Associate professor: Dr. P. Drungilas.
Assistants: Dr. R. Šimėnas, Dr. A. Zinevičius.
Junior assistant: L. Kaziulytė.
Lecturers: Dr. A. Grigutis, Dr. A. Kačėnas (part-time), Dr. R. Petuchovas, V. Stepas.
Doctoral students: M.  Burbulevičius, L. Kaziulytė, L. Meška, A. Mincevič, D. Mochov, T. Panavas, A. Rimkevičienė, M. Stoncelis, G. Šemetulskis, R. Tamošiūnas, P. Tarasov, G.  Vadeikis, A.  Vaiginytė.

RESEARCH INTERESTS

Algebraic number theory
Analytic number theory
Combinatorics
Probabilistic number theory

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Problems of Algebraic and Analytic Number Theory. Prof. A. Dubickas, Prof. A. Laurinčikas, Prof. E. Manstavičius. 2014–2018.

We studied a classical construction of lattices from number fields and obtained a series of new results about their minimum distance and other characteristics by introducing a new measure of algebraic numbers.
We investigated the distribution of the a-values of the Selberg zeta-function associated to finite volume Riemann surfaces.
A discrete universality theorem for the Riemann zeta-function with shifts generated by imaginary parts of nontrivial zeros was obtained.
Effective estimates of the mean values of multiplicative functions defined on the symmetric group were obtained.  Sharp total variation estimates for the cycle vector of a random permutation were established.
The multiplicative independence of shifted roots of unity was obtained. This result is related to certain number systems of algebraic number fields.

Main publications:

Dubickas, A., Sha, M., Shparlinski, I.E. 2017. On distances in lattices from algebraic number fields. Moscow Mathematical Journal, vol. 17 (2), p. 239–268.

Garunkštis, R., Šimėnas, R. 2017. On the distribution of the a-values of the Selberg zeta-function associated to finite volume Riemann surfaces. J. Number Theory, vol. 173, p. 64–86.

Manstavičius, E. 2017. On mean values of multiplicative functions on the symmetric group. Monatshefte Math., vol. 182, p. 359–376.

National Research Projects

Research Council of Lithuania. Arithmetical and Analytical Properties of Algebraic Numbers of Small Height (No. S-MIP-17-66/LSS-110000-1274). Dr. P. Drungilas. 2017–2020.

The set of Littlewood polynomials of degree at most 12 which divide Newman polynomials was obtained.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

University of New South Wales, Sydney (Australia)
Nagoya University (Japan)
Würzburg University (Germany)
Montanuniversität Leoben (Austria)

OTHER SCIENTIFIC ACTIVITIES

Prof. A. Dubickas –

Prof. R. Garunkštis –

  • editorial board member of the Šiauliai Mathematical Seminar, http://siauliaims.su.lt/index.php?option=com_content&view=article&id=2&Itemid=3;
  • the principal speaker at the conference Various Aspects of Multiple Zeta Functions in Honor of Kohji Matsumoto’s 60th Birthday, August 21–25, 2017, Nagoya (Japan);
  • organizing committee member of the International Conference on Number Theory dedicated to the 70th birthdays of Professors Antanas Laurinčikas and Eugenijus Manstavičius, http://numbertheory.lt/.

Prof. A. Laurinčikas –

Prof. E. Manstavičius –

Assoc. Prof. P. Drungilas –

  • organizing committee member of the International Conference on Number Theory dedicated to the 70th birthdays of Professors Antanas Laurinčikas and Eugenijus Manstavičius, http://numbertheory.lt/.

 

DEPARTMENT OF SOFTWARE ENGINEERING

47 Didlaukio, LT-08303 Vilnius
Tel. +370 5 219 5040, fax +370 5 215 1585
E-mail:

Head – Prof. Dr. Romas Baronas

STAFF

Professors: Dr. R. Baronas, Dr. S. Gudas (part-time), Dr. S. Minkevičius (part-time).
Associate professors: Dr. V. Čyras, Dr. S. Dapkūnas, Dr. K. Lapin, Dr. A. Lupeikienė (part-time), Dr. K. Petrauskas, Dr. S. Ragaišis, Dr. G. Slivinskas (part-time).
Lecturers: Dr. V. Ašeris (part-time), Dr. A. Glemža (part-time), Dr. E. Pakalnickienė (part-time), Dr. T. Plankis, Dr. S.Peldžius, Dr. A. Šermokas (part-time), A. Adamonis (part-time), Dr. G. Alzbutas (part-time), D. Čiukšys, V. Golubevas (part-time), V. Jusevičius (part-time), A. Lančinskas (part-time), Ž. Ledas (part-time), V. Pozdniakov (part-time), D. Saltanavičius (part-time), Dr. V. Valaitis.
Assistants: V. Mackonis (part-time), O. Mirzianov, L. Petkevičius, J. Ragaišis (part-time), A. Šimkus (part-time), K. Uosis (part-time). J. Vysockytė-Bilevičienė (part-time).
Doctoral students: L. Litvinas, L. Petkevičius, L. Ričkus.

RESEARCH INTERESTS

Software process modelling, assessment and improvement
Learning Process Assessment and Improvement
Modern software development technologies
Software quality assessment
Teaching software engineering
User experience quality models
Legal informatics
Computer calculations in mathematics
Computational modelling of chemical and biological processes and systems
Reliability of multi-server computer networks
Deep learning models in computer vision

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Modelling of Computerized Systems and their Development Process. Prof. R. Baronas. 2017–2018.

The main results achieved:                                                                                               

Learning process assessment model.
An approach to multi-objective optimization of biosensors utilizing cycic substrate conversion.
Nonlinear effects of diffusion limitations on the response and sensitivity of amperometric biosensors.
A computational model for enzyme-catalysed substrate conversion in a porous microbioreactor.
A texture approach to computer-aided detection of interstitial lung disease.
An approach to visualization of Yoshino's Logical Jurisprudence.
Diffusion limits for the queue length of jobs in multi-server open queueing networks.
Heavy traffic limits for the extreme waiting time in multi-phase queueing systems.
Deep learning approach to detection problems in computer vision.

Main publications:

Baronas, R. 2017. Nonlinear effects of diffusion limitations on the response and sensitivity of amperometric biosensors. Electrochimica Acta, vol. 240, p. 399–407.

Plankis, T., Juozapavičius, A., Stašienė, E., Usonis, V. 2017. Computer-aided detection of interstitial lung diseases: a texture approach. Nonlinear Analysis: Modelling and Control, vol. 22, no. 3, p. 404–411.

Mirzianov, O., Mitašiūnas, A., Novickis, L., Ragaišis, S. 2017. Development and validation of learning process assessment model. Procedia Computer Science, vol. 104, p. 258–265.

National Research Projects

Research Council of Lithuania. Computational Modelling of Open Biological Systems: Growing Bacteria and Microreactors (No. S-MIP-17-98). Head - Prof. Dr. R. Baronas. 2017–2020.

In this project, two important kinds of open systems are computationally modelled and investigated: (1) biocatalytical systems, where a large number of microbioreactors are placed in a container filled with liquid, and (2) systems of active particles like bacteria moving in confined structures. New computational models are being developed and applied for the simulation and analysis of enzyme-based microbioreactors and bacterial cultures.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

University of Innsbruck (Austria)
Riga Technical University (Latvia)
Center for Physical Sciences and Technology (Lithuania)
National Cancer Institute (Lithuania)
Nature Research Centre (Lithuania)

OTHER SCIENTIFIC ACTIVITIES

Prof. R. Baronas –

  • deputy editor-in-chief of the Nonlinear Analysis: Modelling and Control journal, http://www.mii.lt/NA;
  • editorial board member of the Baltic Journal of Modern Computing Journal, http://www.bjmc.lu.lv;
  • editorial board member of the International Journal of Artificial Intelligence Journal, http://www.ceserp.com/cp-jour/index.php?journal=ijai;
  • editorial board member of the Informatica journal, http://www.mii.lt/informatica;
  • member of Transport Science and Information Technology Council of the Ministry of Transport and Communications of the Republic of Lithuania;
  • member of Association for Computing Machinery (ACM).

Assoc. Prof. V. Čyras –

Assoc. Prof. A. Lupeikienė –

Assoc. Prof. S. Ragaišis –

 

INSTITUTE OF MATHEMATICS AND INFORMATICS

4 Akademijos, LT-08663 Vilnius
Tel. 210 9300, fax 272 9209
E-mail:
http://www.mii.lt

Director – Prof. Dr. Habil. Gintautas Dzemyda

RESEARCH AREAS

Integrated development of mathematics
Informatics and information technologies for the knowledge society advanced products and services

DOCTORAL DISSERTATIONS DEFENDED IN 2017

V. Pilipauskaitė. Limit theorems for spatio-temporal models with long-range dependence.

I. Grublytė.  Modelling of nonlinear long memory.

T. Pranckevičius. Investigation of multi-class classification methods for textual data.

T. Liogienė. Hierarchical classification of speech emotions.

E. Žulkas. Development of energy consumption forecasting and autonomous management system in smart house environment.

E. Artemčiukas. Hybrid object tracking method for augmented reality systems using the Kalman filter.

G. Gimbutienė. Algorithms for non-convex global optimization based on the statistical and Lipschitz objective function models.

M. Sabaliauskas. Computerized modeling technology of unique fotwear surface manufacturing design.

A. Škarnulis. Quadratic ARCH models with long memory and QML estimation.

MAIN CONFERENCES ORGANIZED IN 2017

9th international workshop Data Analysis Methods for Software Systems
8th international doctoral consortium Informatics Engineering Education Research
10th international conference on Informatics in Schools, ISSEP 2017
International Workshop on Improvement of Doctoral Studies
11th international conference on Informatics Education joint with International Olympiad in Informatics

 

COGNITIVE COMPUTING GROUP

4 Akademijos, LT-08663 Vilnius

Tel. 210 9300, fax  272 9209

E-mail:

Head – Prof. Habil. Dr. Gintautas Dzemyda

STAFF

Chief research fellows: Prof. Habil. Dr. G. Dzemyda, Prof. Habil. Dr. A. Žilinskas, Prof. Dr. O. Kurasova, Prof. Dr. K.  Dučinskas, Prof. Dr. A. Jakaitienė.
Senior research fellow:  Dr. V. Marcinkevičius.
Affiliated research fellows: Prof. Habil. Dr. A. Garliauskas, Prof. Habil. Dr. J. Mockus.
Research fellows: Dr. J. Bernatavičienė, Dr. R. Karbauskaitė, Dr. V. Medvedev, Dr. E. Filatovas.
Junior research fellows: Dr. A. Rapečka, Dr. M. Sabaliauskas, D. Stumbrienė.
Specialists and engineering staff: V. Tiešis, Dr. L. Ringienė.
Doctoral students: L. Ališauskas, D. Bykovas, A. Daranda, P. Gudžius, P. Jurčys, R. Jurevičius, M. Karaliutė, R. Puronaitė, R. Rybnikovė, G. Stabingis, M. Stankevičius, D. Stumbrienė, R. Toliušis, J. Liutvinavičienė, V. Bulavas.

RESEARCH INTERESTS

Artificial neural networks
Big data
Bioinformatics
Data mining
Deep learning
Global optimization methods
Multi-objective optimization
Image analysis, feature detection, image reconstruction, medical image processing
Internet data mining
Fractal dimensionality
Local optimization methods
Machine learning
Medical data analysis and decision support
Multiple criteria decision support
Operations research
Optimal control applications
Parallel computing
Simulation models in epidemiology, education, economics, and energy with uncertainty
Statistical simulation
Stochastic programming
Swarm intelligence;
Visualization of mutidimensional data
Web service development

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Optimal Decisions in the Problems of Data Mining, Visualization, and Image Processing. Prof. Habil. Dr. G. Dzemyda, Prof. Dr. O. Kurasova. 2017–2019.

The aim of the project is to develop the integrated data mining, visualization, and image processing methods and tools and to apply them to solve problems in economics, health care, medicine and chemical engineering.

The main results achieved:

  1. A new web-based solution for defining and modelling data mining processes has been proposed.
  2. An algorithm for automated 2D segmentation of prostate in magnetic resonance imaging has been developed.
  3. A preference-based multi-objective evolutionary algorithm with stochastic local search has been developed.
  4. In the analysis of transversal plane images, obtained by computer tomography scans, a method of the feature-based registration has been developed, where the model of the rib-bounded contour serves as the basis of the similarity criterion of image slices.
  5. Methods of multiobjective optimization have been applied to optimal design of tecgnological processes in chemical engineering.

Main publications:

Medvedev, V., Kurasova, O., Bernatavičienė, J., Treigys, P., Marcinkevičius, V., Dzemyda, G. 2017. A new web-based solution for modelling data mining processes. Simulation Modelling Practice and Theory, vol. 76, p. 34–46; doi: http://dx.doi.org/10.1016/j.simpat.2017.03.001.

Jucevičius, J., Treigys, P. Bernatavicienė, J., Briedienė, R., Naruševičiūtė, I., Dzemyda, G., Medvedev, V. 2017. Automated 2D segmentation of prostate in T2-weighted MRI scans. International Journal of Computers Communications & Control, vol. 12(1), p. 53–60; doi: http://dx.doi.org/10.15837/ijccc.2017.1.

Filatovas, E., Lančinskas, A., Kurasova, O., Žilinskas, J. 2017. A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search. Central European Journal of Operations, vol. 25, no 4, p. 859–878, doi: 10.1007/s10100-016-0443-x.

Bilinskas, M.J., Dzemyda, G., Trakymas, M. 2017. Feature-based registration of thorax CT scan slices. Informatica, vol. 28 (3), p. 439–452; doi: http://dx.doi.org/10.15388/Informatica.2017.137

Theoretical and Engineering Aspects of e-Service Technology Development and Application in High-performance Computing Platforms. Dr. V. Marcinkevičius. 2017–2018

The goal of the project is to expand the capabilities of Web services technology development and use of these services in high performance computing platforms. The main tasks are such: to improve the access mechanisms to services and to enhance the analysis and realization techniques for service quality forecasting and matching the right, to develop the innovative solutions using Web services technologies for high performance computing platforms.

The main results achieved:

  1. A new method has been developed for correction of lateral chromatic aberration in digital eye fundus images.
  2. Vision-based particle filter and visual odometry have been applied for unmanned aerial vehicles localization.

Main publications:

Jakštys, V., Marcinkevičius, V., Treigys, P. 2017. Evaluation of correction methods of lateral chromatic aberration in digital eye fundus images. 8th International Conference of Pattern Recognition Systems ICPRS 2017. Stevenage : The Institution of Engineering and Technology, 6 p; doi: 10.1049/cp.2017.0132.

Jurevičius, R., Marcinkevičius, V. 2017. Application of vision-based particle filter and visual odometry for UAV localization. 25th Conference on Computer Graphics, Visualization and Computer Vision WSCG 2017. Plzen: Vaclav Skala - UNION Agency, p. 1–7, accessed at: <http://wscg.zcu.cz/wscg2017/2017-WSCG-Conference-Schedule.html>.

Pranckevičius, T., Marcinkevičius, V.  2017. Comparison of Naïve Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression classifiers for text reviews classification. Baltic Journal of Modern Computing. Riga : University of Latvia, vol. 5, no. 2, p. 221–232; doi: 10.22364/bjmc.2017.5.2.05.

National Research Projects

Research Council of Lithuania. Lithuanian Education System Status and its Influencing Factors Modeling (No. MIP-024/2015) Dr. A. Jakaitienė. 2015–2017.

The project has two main goals: the international PISA survey data analysis and education system monitoring index construction.

Main publication:

Želvys, R., Jakaitienė, A., Stumbrienė, D. 2017. Moving towards different educational models of the welfare state: comparing the education systems of the Baltic countries ( Link skirtingų gerovės valstybių švietimo modelių: Baltijos šalių švietimo sistemų palyginimas). Filosofija. Sociologija, vol. 28, no. 2, p. 139–150.

Creation of Production Planning Algorithm (No. 20161005-01/APS- 580000-1991, 2016–2017, UAB Netcode).

The aim of the project is to develop the algorithms for construction of active and semi-active schedules for job shop with fixed post-processing periods.

International Research Projects

COST action Big Data Era in Sky and Earth Observation TD1403 Member of Managing Committee Prof. Dr. Olga Kurasova. 2014–2018, http://www.cost.eu/COST_Actions/TDP/Actions/TD1403.

COST action High-Performance Modelling and Simulation for Big Data Applications (cHiPSet) IC1406. Member of Managing Committee Dr. Viktor Medvedev. 2014–2018, http://www.cost.eu/COST_Actions/ict/IC1406.

COST action A New Network of European BioImage Analysts to advance life science imaging (NEUBIAS) CA15124. Member of Managing Committee Dr. Povilas Treigys. 2016–2020, http://www.cost.eu/COST_Actions/ca/CA15124.

COST action Open Multiscale Systems Medicine CA15120. Member of Managing Committee Dr. Jolita Bernatavičienė. 2016–2020, http://www.cost.eu/COST_Actions/ca/CA15120

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

University of Almeria (Spain)
University College London (UK)
Bar-Ilan University (Israel)
University of Ferrara (Italy)
Southwestern University of Finance and Economics (China)
Belarus State University (Belarussia)
University of Calabria (Italy)
National Cancer Institute of Lithuania
Hospital of Lithuanian University of Health Sciences Kauno klinikos (Lithuania)
Maribor University (Slovenia)

OTHER SCIENTIFIC ACTIVITIES

Prof. Habil. Dr. G. Dzemyda –

  • member of the Lithuanian Academy of Siences, http://lma.lt;
  • member of programme committees of the following international conferences:
  • On Operations Research and Enterprise Systems (ICORES 2017);
  • On Psychological Computing Systems (PhyCS 2017);
  • 4th, On Sensor Networks (SENSORNET 2018;,
  • chairman of the 9th international workshop Data Analysis Methods for Software Systems, Druskininkai, Lithuania, 2017, http://www.mii.lt/DatAMSS/;
  • editor-in-chief of the Baltic Journal of Modern Computing http://www.lu.lv/baltic-journal-of-modern-computing/ and the international journal Informatica (IOSPress/VU), https://www.mii.lt/Informatica/.
  • editorial board member of 9 international journals: Financial Innovation; International Journal of Computers; Communications and Control; Applied Computer Systems; Informatics in Education; Journal of Civil Engineering and Management; Nonlinear Analysis: Modelling and Control; Mathematics and Informatics; Computer Science; Information Technology and Management Science;
  • member of the Lithuanian Academy of Sciences, http://lma.lt/;
  • member of IFIP Technical Committee 12 Artificial Intelligence, http://www.ifiptc12.org.uk/ifiptc12/members.php;
  • board member of Transportation Science and Information Technologies of the Ministry of Transport and Communications of the Republic of Lithuania;
  • board member of Military Science and Technologies of the Ministry of National Defence of the Republic of Lithuania;
  • member of Lithuanian Computer Society, http://www.liks.lt/;
  • member of Lithuanian Operational Research Society, http://www.mii.lt/LitORS/ .

Prof. Habil. Dr. A. Žilinskas –

Prof. Habil. Dr. J. Mockus –

Prof. Dr. O. Kurasova –

Dr. J. Bernatavičienė –

Dr. E. Filatovas –

  • member of International Society on Multiple Criteria Decision Making (MCDM),
    http://mcdmsociety.org/members/country.php?country=LITHUANIA;
  • member of Council of Lithuanian Computer Society, http://www.liks.lt/en/modules/tinycontent/index.php?id=3;
  • reviewer of international journals:
  • Baltic Journal of Modern Computing;
  • Central European Journal of Operations Research (Springer);
  • IEEE Transactions on Systems, Man, and Cybernetics: Systems;
  • Informatica (IOSPress/VU)

Dr. R. Karbauskaitė –

Dr. V. Marcinkevičius –

Dr. V. Medvedev –

  • member of Council of Lithuanian Computer Society, http://www.liks.lt/en/modules/tinycontent/index.php?id=3;
  • member of Lithuanian Mathematical Society, http://www.mif.vu.lt/lmd/ ;
  • member of Service Computation 2013–2017 Technical Program Committee;
  • reviewer of international journals:
  • Informatica (IOSPress/VU);
  • Mathematical Modelling and Analysis (Taylor & Francis);
  • Journal of Global Optimization (Springer);
  • Pattern Recognition Letters (Elsevier);
  • International Journal of Applied Mathematics and Computer Science (University of Zielona Góra and the Lubuskie Scientific Society in Zielona Góra, Poland);
  • Applied Computing and Informatics (Elsevier);
  • The Baltic Journal of Road and Bridge Engineering (Technika/VGTU, Lithuania);
  • Baltic Journal of Modern Computing.
  1. V. Tiešis –

 

CYBER-SOCIAL SYSTEMS ENGINEERING GROUP

4 Akademijos, LT-08663 Vilnius

Tel. (+370 5) 2109 340, fax (+370 5) 2729209

E-mail:

WWW: https://www.mii.lt/en/structure/scientific-groups/cyber-social-systems-engineering-group

Head – Prof. Dr. Saulius.Gudas

STAFF

Chief research fellow: Prof. Dr. Saulius Gudas.
Research fellows: Prof. Dr. D. Dzemydienė, Assoc. Prof. Dr. A. Lupeikienė, Dr. S. Maskeliūnas.
Junior research fellows: Dr. J. Miliauskaitė, Dr. H. Giedra.
Specialists: Prof. Dr. A. Čaplinskas, Prof. Dr. O. Vasilecas.
Assistant research fellow: L. Paliulionienė.
Doctoral students: A. Šaikūnas, A. Valatavičius, M. Jusis, R. Savukynas, I. Mičiulytė.
Sector of Mathematical Logic
Research fellows: Dr. R. Alonderis, Assoc. Prof. Dr.  J. Sakalauskaitė.
Affiliated chief research fellow:  Prof. Habil. Dr. S. Jukna.
Affiliated senior research fellows:  Assoc. Prof. Habil. Dr.  R. Pliuškevičius, Assoc. Prof. Dr. A. Pliuškevičienė.

RESEARCH INTERESTS

Software engineering for cyber-physical-social systems:

Theoretical foundations of information systems
Domain causal dependencies modeling for software engineering
Model based applications development (MBD) for different types of domains (enterprises, Internet of Things, smart systems, etc.)
Knowledge-based development of cyber-physical-social systems
Process mining

Mathematical logic:

Automated deduction
Knowledge analysis methods
Deductive systems

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Research of Software Engineering Methods Arrangement with Semantic Modelling Methods of Business Management. Construction of Calculi and Solving Procedures for Modal Logics and Lower Bounds of Complexity for Discrete Optimisation Problems. Prof. Dr. S. Gudas (leader), Prof. Dr. A. Čaplinskas, Prof. Dr. D. Dzemydienė, Assoc. Prof. Dr. A. Lupeikienė, Dr. S. Maskeliūnas, Dr. J. Miliauskaitė, A. Miliauskas, A. Šaikūnas, L. Paliulionienė. Assoc. Prof. Habil. Dr. R. Pliuškevičius, Dr. R. Alonderis, Habil. Dr. S. Jukna, Assoc. Prof. Dr. J. Sakalauskaitė. 2015–2017.

A new way of looking to software development by integrating the internal modeling paradigm with MDA approach. The modified MDA schema includes the new layer of the domain knowledge discovery. Frameworks for internal modeling of enterprise domain will help to trace the causal dependencies across the layers, and to determine the influence of domain causality to the integrity and interoperability of the application.

An approach to transform business process models (BPMN 2.0 notation) into the SBVR business vocabularies and business rules. The SBVR business vocabularies and business rules can be derived from the BPMN 2.0 model when the modeling complies with certain requirements for business processes models.

The normalization method of the enterprise modeling stage is developed, which is based on the perceived causality of the target domain. The provided research motivate normalization of the entire SDLC. Today usage of concepts normalization, and functional dependency (FD) is limited to only the database design stage. The first step is the discovery of management FD (MFD) of business activities. Management transaction is an initial specification of MFD, which gives a basis for enterprise model normalization. Enterprise model normal forms ENF1 – ENF5 defined and illustrated.

Complete and correct sequent calculi for the half-order normal modal logics K to S5 inclusive without function symbols have been constructed. Based on these calculi, the decision procedures for the mentioned logics have been presented.

Main publications:

Gudas, S., Valatavičius, A. 2017. Towards deep knowledge based interoperability of applications. Informacijos mokslai, 79; doi: https://doi.org/10.15388/Im.2017.79.11400.

Mickevičiūtė, E. Butleris, R., Gudas, S., Karčiauskas, E. 2017. Transforming BPMN 2.0 business process model into SBVR business vocabulary and rules. Information technology and control. Informacinės technologijos ir valdymas, vol. 46, iss. 3, p. 360–371.

Gudas, S., Valatavičius, A. 2017. Normalization of domain modeling in enterprise software development. Baltic Journal of Modern Computing, vol. 5, no. 4, p. 329–350.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

University of Latvia (Latvia)
Riga Technical University (Latvia)
University of Tartu (Estonia)
University of Maribor (Slovenia)
University of Geneva (Switzerland)
University of Frankfurt (Germany)
Poznan University of Technology (Poland)

OTHER SCIENTIFIC ACTIVITIES

Prof. Dr. S. Gudas –

Prof. Dr. A. Čaplinskas –

Prof. Dr. D. Dzemydienė –

Assoc. Prof. Dr. A. Lupeikienė –

Dr. S. Maskeliūnas –

Prof. Habil. Dr. S. Jukna –

Assoc. Prof. Habil. Dr. R. Pliuškevičius –

 

EDUCATION SYSTEMS GROUP

4 Akademijos, LT-08663 Vilnius
Tel. 210 9732
E-mail:

Head - Prof. Dr. Valentina Dagienė

STAFF

Chief research fellow: Prof. Dr. V. Dagienė.
Senior reseach fellow: Dr. J. Kurilov.
Research fellows: Dr. T. Jevsikova, Dr. A. Juškevičienė, Dr. S. Kubilinskienė.
Junior reseach fellow: Dr. E. Jasutė.
Specialists: D. Ardickas, Dr. J. Skūpienė.
Doctoral students: G. Beresnevičius, A. Berniukevičius, V. Dvareckienė, V.  Dolgopolovas, D.  Gudonienė, O. Mirzianov, G. Stupurienė, L. Vinikienė.
Affiliated senior research fellows: Assoc. Prof. Dr. G. Grigas, Dr. L. Markauskaitė.

RESEARCH INTERESTS.

Application of intelligent technologies in education
Computer science (Informatics) education research
Computing engineering education research
Personalised learning
Software localisation
Technology enhanced learning

RESEARCH PROJECTS CARRIED OUT IN 2016

Projects Supported by University Budget

Research on Intelligent Technologies Application for Teaching, Learning and Cultural Environment. Prof. Dr. V. Dagienė. 2015–2019.

Creation of engineering solutions for improving teaching and learning by implementing intelligent technologies; creation of personalised learning methods and activities as well as ontologies to teach and learn informatics engineering. Creation of personalised engineering solutions for mobile learning; creating of e-learning recommendations based on semantic web. Creation of methodologies to evaluate the quality of distance learning courses and learning object repositories;

Creation of computational thinking operational model; research on its application in general education and in Informatics and Computational Thinking contest Bebras.

Main publications:

Dolgopolovas, V., Jevsikova, T., Dagienė, V. 2017. From Android games to coding in C-An approach to motivate novice engineering students to learn programming: a case study. Computer Applications in Engineering Education, p. 1–16; doi: 10.1002/cae.21862.

Dagienė, V., Sentance, S., Stupurienė, G. 2017. Developing a two-dimensional categorization system for educational tasks in informatics. Informatica, vol. 28, no 1, p. 23–44. Internet access: <https://www.mii.lt/informatica/pdf/INFO1127.pdf>

International Research Projects

NordNICE: Nordplus Network of Innovative Computing Education (No. NPHZ 2015/1053) http://nordnice.wix.com/nordplus

Intercultural Learning in Mathematics and Science: Initial Teacher Education (IncluSMe), 2016-1-DE01-KA203-002910

Structuring Cooperation in Doctoral Research, Transferrable Skills Training, and Academic Writing instruction in Ukraine’s regions (DocHub). 574064-EPP- 1-2016- 1- LT-EPPKA2- CBHE-SP.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

ETH Zurich (Switzerland)
Nikon University (Japan)
Turku University (Finland)
Uppsala University (Sweden)
Università degli Studi di Milano (Italy)


OTHER SCIENTIFIC ACTIVITIES

Prof. Dr. V. Dagienė –

  • Editor-in-Chief of the journal Informatics in Education, http://www.mii.lt/informatics_in_education (Clarivate Analytics Web of Science Core Collection; Scopus; etc.);
  • editor of the journal Olympiads in Informatics (Scopus, etc);
  • area Editor (Computing Didactics) of the Baltic Journal of Modern Computing, https://www.bjmc.lu.lv (Clarivate Analytics Web of Science Core Collection; Scopus; etc.);
  • co-editor of Lecture Notes in Computer Science (LNCS), vol. 10696, 2017: Informatics in Schools: Focus on Learning, Programming. 10th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2017, Helsinki, Finland, November 13–15, 2017, Proceedings, ©Springer International Publ.;
  • editorial board member of the International Journal of Digital Literacy and Digital Competence, International Journal of Instruction, Acta Paedaogica Vilnensia;
  • coordinator of the Nordplus Network on Innovative Computing Engineering Education Research;
  • representative of Lithuania in Education Committee TC3 under the International Federation for Information Processing (IFIP);
  • expert of the Programme EUREKA Eurostars;
  • steering committee member of the International Olympiads in Informatics;
  • member of Joint Doctoral Committee of Education (Vytautas Magnus University; Vilnius University; Klaipėda University; Riomeris University; and Aveiro University), 2015–2019.

Assoc. Prof. Dr. J. Kurilov –

Dr. T. Jevsikova –

  • member of International Federation for Information Processing (IFIP) TC3 WG 3.1 (Informatics for Secondary Education).

 

GLOBAL OPTIMIZATION GROUP

4 Akademijos, LT-08663 Vilnius

Tel.: 210 9304

E-mail:

Head – Prof. Dr. Julius Žilinskas

STAFF

Chief research fellow: Prof. Dr. J. Žilinskas.
Senior research fellows: Assoc. Prof. Dr. R. Pupeikis, Dr. R. Paulavičius.
Research fellow: Dr. A. Lančinskas.
Junior research fellow: L. Stripinis.
Doctoral students: V. Jusevičius, R. Kriauzienė, I. Meržvinskaitė, N. Puzanskaja, L. Stripinis, E. Zikarienė.

RESEARCH INTERESTS

Optimization and high-performance computing
Nonlinear control methods
Time delay estimation

RESEARCH PROJECTS CARRIED OUT IN 2017

Projects Supported by University Budget

Analysis, Recognition, Optimization, and Control of Non-Linear Systems and Signals with Complex Structure. Prof. Dr. J. Žilinskas.

Optimization algorithms for speech models, engineering structures, location and other problems. Analysis of the information protection methods and cryptanalysis strength enhancement. Identification and management methods algorithms of self-regulation of nonlinear systems, consisting of a linear block and static nonlinearity combinations, analysis by the way of computer simulation.

The main results achieved:

  1. Reinforced methods for dynamical system identification and adaptive control;
  2. Optimization algorithms for container loading problem and constrained global optimization.

Main publications:

Pupeikis, R. 2017. Reinforced Methods for Dynamical System Identification and Adaptive Control, (Monograph). Aachen: Shaker Verlag, 178 p.

Pardalos, A., Žilinskas, A., Žilinskas, J. 2017. A brief review of non-convex single-objective optimization. Non-Convex Multi-Objective Optimization. Springer; doi:10.1007/978-3-319-61007-8.

Fernández, P., Pelegrín, B., Lančinskas, A., Žilinskas, J. 2017. New heuristic algorithms for discrete competitive location problems with binary and partially binary customer behavior. Computers & Operations Research, vol. 79, p. 12–18. doi:10.1016/j.cor.2016.10.002.

National Research Projects

Research Council of Lithuania. Development and Applications of Bilevel Optimization Algorithms (No. P-MIP-17-60). Dr. R. Paulavičius. 2017–2020.

Bilevel optimization is important from the practical viewpoint, but efficient bilevel optimization methods still exist only in specific cases. As a result, development of general bilevel optimization methods is particularly relevant and timely. Many practical problems in the economy, engineering, and other fields can be described as bilevel optimization models. However, a plethora of these applications still cannot be solved with existing optimization tools. More importantly, only in the last decade, the first methods to solve general bilevel optimization problems were proposed. Unfortunately, the application of these methods has been mainly demonstrated only on small test instances. In this project, we seek an ambitious goal to develop new and improve existing bilevel optimization algorithms, enabling to solve real practical problems. It is equally important to implement efficient and publicly accessible bilevel optimization software, which would allow solving such problems for a broad range of practitioners. This would have a significant and internationally recognizable contribution to the field of bilevel optimization.

Research Council of Lithuania. Development and Parallelization of Ranking-Based Optimization Algorithms (No. 09.3.3-LMT-K-712-02-0087). Dr. A. Lančinskas. 2017–2019.

The project will deal with combinatorial optimization algorithms and their application to high-performance computing systems.

The objective of the project is to develop a ranking-based algorithm for solving combinatorial optimization problems using high-performance computing systems.

The project is based on two activities: development of the ranking-based algorithm and its application to high-performance computing systems.

The goal of the first activity is to develop the ranking-based algorithm suitable to solve combinatorial optimization problems. Beside well-known combinatorial optimization test problems, various instances of competitive facility location problems will be used in an experimental investigation. It is planned to organize a research visit at University of Murcia, where researchers have experience in modelling and solving facility location problems.

The goal of the second activity is to develop parallel versions of the algorithm ensuring effective communication between processors. For this purpose, it is necessary to search for novel solution in high-performance computing in order to create an optimal communication strategy. Computational experiments will be performed using high-performance computing system at Vilnius University. It is also planned to collaborate with Edinburgh Parallel Computing Centre in developing the parallel algorithm for large-scale high-performance computing systems.

In the case of success, a ranking-based algorithm for solving combinatorial optimization problems using high-performance computing systems will be proposed and experimentally investigated. The proposed algorithm will allow to solve complex combinatorial optimization problems encountered in various research and industry areas. The proposed principal solutions to create and parallelize the algorithm will contribute to further researches in development and parallelization of similar algorithms.

International Research Projects

COST action Mathematical Optimization in the Decision Support Systems for Efficient and Robust Energy Networks TD1207 Member of Managing Committee. Prof. Dr. J. Žilinskas. 2013–2017, http://www.cost.eu/domains_actions/ict/Actions/TD1207?management.

Energy Production and Distribution (EP&D) is among the biggest challenges of our time, since energy is a scarce resource whose efficient production and fair distribution is associated with many technical, economical, political and ethical issues like environmental protection and people health. EP&D networks have rapidly increased their size and complexity, e.g. with the introduction and interconnection of markets within the EU. Thus, there is an increasing need of systems supporting the operational, regulatory and design decisions through a highly inter-disciplinary approach, where experts of all the concerned fields contribute to the definition of appropriate mathematical models. This is particularly challenging because these models require the simultaneous use of many different mathematical optimization tools and the verification by experts of the underlying engineering and financial issues.

COST action Network for Sustainable Ultrascale Computing (NESUS) IC1305 Member of Managing Committee Dr. A. Lančinskas. 2014–2018, http://www.cost.eu/COST_Actions/ict/Actions/IC1305.

Ultrascale systems are envisioned as large-scale complex systems joining parallel and distributed computing systems that will be two to three orders of magnitude larger that today's systems. The EU is already funding large scale computing systems research, but it is not coordinated across researchers, leading to duplications and inefficiencies. The goal of the NESUS Action is to establish an open European research network targeting sustainable solutions for ultrascale computing aiming at cross-fertilization among HPC, large scale distributed systems, and big data management. The network will contribute to glue disparate researchers working across different areas and provide a meeting ground for researchers in these separate areas to exchange ideas, to identify synergies, and to pursue common activities in research topics such as sustainable software solutions (applications and system software stack), data management, energy efficiency, and resilience. Some of the most active research groups of the world in this area are members of this proposal. This Action will increase the value of these groups at the European-level by reducing duplication of efforts and providing a more holistic view to all researchers, it will promote the leadership of Europe, and it will increase their impact on science, economy, and society.

COST action Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO) CA15140. Member of Managing Committee Dr. A. Lančinskas. 2016–2020.

Nature-inspired search and optimisation heuristics are easy to implement and apply to new problems. However, in order to achieve good performance it is usually necessary to adjust them to the problem at hand. Theoretical foundations for the understanding of such approaches have been built very successfully in the past 20 years but there is a huge disconnect between the theoretical basis and practical applications. The development of powerful analytical tools, significant insights in general limitations of different types of nature-inspired optimisation methods and the development of more practically relevant perspectives for theoretical analysis have brought impressive advances to the theory-side of the field. However, so far, impact on the application-side has been limited and few people in the diverse potential application areas have benefitted from these advances.

The main objective of the COST Action is to bridge this gap and improve the applicability of all kinds of nature-inspired optimisation methods. It aims at making theoretical insights more accessible and practical by creating a platform,  where theoreticians and practitioners can meet and exchange insights, ideas and needs by developing robust guidelines and practical support for application development based on theoretical insights; by developing theoretical frameworks driven by actual needs arising from practical applications; by training Early Career Investigators in a theory of nature-inspired optimisation methods that clearly aims at practical applications; by broadening participation in the ongoing research of how to develop and apply robust nature-inspired optimisation methods in different application areas.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

Universidad de Almería (Spain)
Università della Calabria (Italy)

OTHER SCIENTIFIC ACTIVITIES

Prof. Dr. J. Žilinskas –

Assoc. Prof. Dr. R. Pupeikis –

Dr. A. Lančinskas –

  • affiliate member of European Network of Excellence on High Performance and Embedded architecture and Compilation (HiPEAC), http://www.hipeac.net;
  • member of management committee of COST action IC1305 Network for Sustainable Ultrascale Computing (NESUS);
  • member of management committee of COST action CA15140 Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO);
  • reviewer of international journals:
  • Journal of Global Optimization;
  • Central European Journal of Computer Science;
  • Central European Journal of Engineering;
  • Informatica;
  • Optimization Letters;
  • Computers & Operations Research;
  • Baltic Journal of Modern Computing.

Dr. R. Paulavičius –

  • affiliate member of European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC), www.hipeac.net;
  • member of the American Institute of Chemical Engineers (AIChE), www.aiche.org;
  • member of the Mathematical Optimization Society (MOS), http://www.mathopt.org/ ;
  • reviewer of international journals:
  • Journal of Global Optimization;
  • Optimization Letters;
  • Information Technology and Control;
  • Central European Journal of Computer Science;
  • Communications in Nonlinear Science and Numerical Simulation;
  • Informatica;
  • Baltic Journal of Modern Computing.

 

OPERATION RESEARCH GROUP

4 Akademijos, LT-08663 Vilnius

Tel. 210 9300, fax 272 9209

E-mail:

Head – Prof. Habil. Dr. Leonidas Sakalauskas

STAFF

Chief research fellows: Prof. Habil. Dr. L. Sakalauskas, Prof. Dr. R. Laužikas.
Senior research fellows:  Prof.  Dr. S. Minkevičius, Prof. Dr. D. Plikynas.
Affiliated research fellow: Assoc. Prof. Dr. S. Steišiūnas.
Research fellow: Assoc. Prof. Dr. I. Belovas.
Junior research fellow: A. Miliauskas.
Specialists and engineering staff: Dr. G. Jakimauskas, V. Dulskis, A. Ušpurienė.
Doctoral students: A. Jurgelevičius, D. Kavaliauskas, J. Kurilova, N. Pozniak, J. Vaičiulytė.

RESEARCH INTERESTS

Creation and computational realization of complex simulation models in epidemiology, education, economics, and energy supply systems and of various other origin with uncertainty
Operations research
Statistical simulation
Stochastic programming
Swarm intelligence

RESEARCH PROJECT CARRIED OUT IN 2017

Application of Statistical Modeling and Stochastic Programming in Big Data Analysis. Prof. Habil. Dr. L. Sakalauskas 2015–2018.

The main results are as follows:

  1. Stochastic linear and non-linear algorithms were made and aplied to big financial data analysis and management;
  2. Big data interpolation methods in applicacion of Euclidian distance matrices were made and apllied.

Main publications:

Jurgelevičius, A., Sakalauskas, L. 2017. BOINC from the view point of Cloud computing. CEUR Workshop Proceedings. Aachen : CEUR-WS., vol. 1973, p. 61–66.

Minkevičius, S., Greičius, E. 2017. On the inequality between queue length and virtual waiting time in open queueing networks under conditions of heavy traffic. International Journal of Mathematical and Computational Sciences. Dubai: WASET, vol. 4, no. 10, p. 954–957.

OTHER SCIENTIFIC ACTIVITIES

Prof. Habil. Dr. L. Sakalauskas –

  • editorial board member of the journal Technological and Economic Development of Economy, http://www.tandf.co.uk/journals/journal.asp?issn=2029-4913&linktype=145;
  • elected member of International Statistical Institute (2001), http://isi-web.org/;
  • member of European Working Group on Continuous Optimization, http://www.iam.metu.edu.tr/EUROPT/;
  • member of Board of European Working Group on Stochastic Programming, http://www.mii.lt/EWGSP;
  • member of European Working Group on Civil Engineering and Sustainable, Development http:// http://www.orsdce.vgtu.lt;/
  • President of Lithuanian Operational Research Society, http://www.mii.lt/LitORS/;
  • Chair of Lithuanian Conference on Operations Research and Application in Business and Technics, http://www.mii.lt/OT-2016.
  • reviewer of international journals:
  • Annals of Operation Research (Springer);
  • European Journal of Operational Research (Elsevier);
  • Informatica (IOSPress/VU);
  • Central European Journal of Operational Research (Springer);
  • Information Technology and Control (KTU);
  • International Transactions on Operational Research (Wiley&Sons);
  • Methodology and Computing in Applied Probability (Springer;)
  • Technological and Economic Development of Economy (Francis&Taylor).

Assoc. Prof. Dr. I. Belovas –

  • member of Lithuanian Mathematical Society, http://www.mif.vu.lt/lmd/;
  • reviewer of international journal Mathematical Modelling and Analysis (Taylor & Francis).

Assoc. Prof. Dr. S. Minkevičius –

  • reviewer of international journal Informatica (IOSPress/VU);
  • reviewer of international journal Nonlinear Analysis; Modelling and Control, http://www.mii.lt/NA/.

 

STATISTICS AND PROBABILITY GROUP

4 Akademijos, LT-08663 Vilnius
Tel. 210 9731
E-mail:

Head – Prof. Dr. Habil. Kęstutis Kubilius

STAFF

Chief research fellows: Prof. Habil.  Dr. K. Kubilius, Prof. Habil. Dr. A. Dubickas, Prof. Dr. L. Giraitis, Prof. Habil. Dr. R. Leipus, Dr.J. J. Mačys, Prof. Habil. Dr. E.Manstavičius, Prof. Dr. R. Mikulevičius, Dr. S.Norvidas, Dr. S. Rutkauskas, Prof. emeritus M. Sapagovas, Prof. Habil. Dr. J. K. Sunklodas, Prof. emeritus D. Surgailis, Dr. A. Štikonas.
Senior reseach fellows: Dr. A. Astrauskas, Dr. O. Januškevičienė, Dr. Otera Daniele Ettore, Dr. M. Radavičius, Prof. Habil. Dr. R. Rudzkis, Dr. M. Vaičiulis.
Research fellows: Dr. A. Čigina, Dr. D. Dzindzalieta, Dr. V. Kurauskas, Dr. V. Skorniakov.
Specialists: Š. Dirmeikis, I. Grublytė, V. Pilipauskaitė, J. Zinkevičienė.
Doctoral students: V. Butkus, Š. Germanas, L. Dreižienė, M. Lapėnaitė Gedvilė, R. Užupytė.

RESEARCH INTERESTS

Statistical inference for long memory processes
Statistical hypothesis testing
Heavy tails, aggregation, random fields
Self-similar processes, Levy processe,
Rough paths, random Hamiltonians
Finite population statistics and statistical analysis of data
Extremal problems in harmonic analysis
Random graphs
Combinatorics
Discrete mathematics
Algebraic geometry

RESEARCH PROJECTS CARRIED OUT IN 2017

Project Supported by University Budget

Analysis of Probabilistic Models and Research of Asymptotic Properties. Prof. Habil. Dr. K. Kubilius. 2017–2019.

A complete description of anisotropic scaling limits and the existence of scaling transition for nonlinear functions (Appell polynomials) of stationary linear random fields on  with moving average coefficients decaying at possibly different rate in the horizontal and the vertical direction is obtained.

Characterization of what characteristic functions of a probability measures are uniquely determined by their imaginary parts is given. The conditions under which, for a neighbourhood U of infinity and a characteristic function F on U, there exists a uniquely extension of F to the whole line also are investigated.

Main publications:

Norvidas, S. 2017. A uniqueness theorem for characteristic functions. Positivity, vol. 21, iss. 4, p. 1341–1352.

Pilipauskaitė, V., Surgailis, D. 2017. Scaling transition for nonlinear random fields with long-range dependence. Stochastic Processes and their Applications, vol. 127, iss. 8, p. 2751–2779.

Dubickas, A. 2017. On rational approximations to two irrational numbers. Journal of Number Theory, vol. 177, p. 43–59.

OTHER SCIENTIFIC ACTIVITIES

Prof. K. Kubilius –

Prof. A. Dubickas –

http://www.su.lt/index.php?option=com_content&view=article&id=16758&Itemid=17530&lang=en .

Prof. R. Leipus --

  • editorial board member of the Lithuanian Mathematical Journal,

http://www.springer.com/mathematics/journal/10986?detailsPage=editorialBoard;

Prof. E. Manstavičius –

Prof. S. Norvidas –

Doc. M. Radavičius –

Prof. R. Rudzkis –

http://www.appliedeconometrics.ru/r/board/;

Prof. D. Surgailis –

Prof. Dr. A. Štikonas –

Prof. M. Sapagovas –

  • editorial board member of the Lithuanian Mathematical Journal, http://www.springer.com/mathematics/journal/10986?detailsPage=editorialBoard;
  • editorial board member of  the journal Nonlinear Analysis: Modelling and Control, https://www.mii.lt/NA/.

Prof. S. Rutkauskas –

 

VIDEO AND SIGNAL ANALYSIS GROUP

4 Akademijos, LT-08663 Vilnius

Tel. 210 9328

E-mail:

Head – Assoc. Prof. Dr. Povilas Treigys

STAFF

Senior research fellow: Assoc. Prof. Dr. P. Treigys.
Affiliated research fellows: Prof. Habil. Dr. K. Kazlauskas, Prof. Habil. Dr. A. L. Telksnys.
Research fellows: Dr. G. Korvel, Assoc. Prof., Dr. G. Tamulevičius.
Junior research fellow: J. M. Bilinskas.
Doctoral students: J. M. Bilinskas, J. Jucevičius, M. Morkūnas, J. Venskus.

RESEARCH INTERESTS

Audio and video signal processing
Random processes analysis and recognition

RESEARCH PROJECTS CARRIED OUT IN 2017

Project Supported by University Budget

Analysis, Recognition, Optimization, and Control of Non-Linear Systems and Signals with Complex Structure. 2017–2020.

The aim in 2017 was to create and analyze modeling methods and algorithms, to employ them in acoustic analysis for speech synthesis, recognition, and speech quality assessment.

The main results achieved were: high-order autoregressive modeling of individual speaker’s spectral properties; fractal dimension-based description of speech signals; employment of fractal dimension-based features for speech emotion recognition; voiceless stop consonant modelling and synthesis framework based on MISO dynamic system.

International Research Projects

COST action A New Network of European Bioimage Analysts to Advance Life Science Imaging (NEUBIAS). Member of Managing Committee Assoc. Prof. Dr. P.Treigys. 2016–2020.

This Action is a programme for establishing a network of BioImage Analysts (BIAlysts), to maximize the impact of advances in imaging technology on the Life Sciences (LSc), and to boost the productivity of bioimaging-based research projects in Europe. BIAlysts have recently emerged in various research institutions, but these experts are still not well recognised in the LSc community. The Action aims to provide a stronger identity to BIAlysts by organising a new type of meeting fostering interactions between all stakeholders including Life scientists, BIAlysts, microscopists, developers and the private sector.

The main results achieved were machine learning algorithms for tumour classification.

MAIN R&D&I (RESEARCH, DEVELOPMENT AND INNOVATION) PARTNERS

Hospital Kauno klinikos of Lithuanian University of Health Sciences (Lithuania)
Vilnius University Hospital Santaros klinikos (Lithuania)
National Cancer Institute (Lithuania)
JSC NetCode (Lithuania)
Brno University of Technology (Czech Republic)
Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Audio Acoustics Laboratory (Poland)

OTHER SCIENTIFIC ACTIVITIES

Assoc. Prof. Dr. P. Treigys –

Prof. Habil. Dr. A. L. Telksnys –

Prof. Habil. Dr. K. Kazlauskas –

  • member of the Lithuanian Computer Society, http://www.liks.lt;
  • member of the Lithuanian Mathematical Society, http://www.mif.vu.lt/lmd/;
  • reviewer of international journals:  
    IEEE Trans. On Signal Processing; IEEE Trans. On Circuits and Systems; Informatica; Information Technology and Control.

Assoc. Prof. Dr. G. Tamulevičius –

Dr. G. Korvel –

  1. Journal of the Audio Engineering Society www.aes.org/journal:
          
  2. Archives of Acoustics acoustics.ippt.gov.pl;
          
  3. Metrology and Measurement Systems http://www.metrology.pg.gda.pl,
          
  4. Journal of Intelligent Information Systems https://link.springer.com/journal/10844;
          
  5. Information Technology and Control http://itc.ktu.lt .