The projects and and scientific research that are carried out at the Faculty of Informatics are devoted to the possibilities of applying information technology in various activities and sectors. The Faculty is the only in Lithuania belonging to the Informatics Europe association, which unites the strongest informatics scientists, researchers and academic staff. The Association now has 115 members from all over Europe.
Principal investigator: Prof. Dr. E. Kazanavičius
The fast growth of IoT has high potential in many applications that impact personal lives, workplace productivity, and consumption. New IoT applications face a variety of unsolved security, design, and deployment challenges. The development of new methods, algorithms, and technologies is required.
Researchers work on smart environments and the Internet of Things and Services. Innovations created are based on an open architecture model, which allows integration of various third-party services, thus creating new business models for potential providers of services. The following topics are planned to cover: real- time systems, AI-based automation for IoT enabled smart environments, secure and scalable IoT-based solutions (for smart healthcare, cities, logistics, mobility, etc.), IoT protocols and standards.
Principal investigator: Prof. Dr. A. Venčkauskas
Cybersecurity is critical to European economies, functioning of the democracy, and European values. Malicious cyber activities, in particular disinformation campaigns, fake news, and cyber operations targeted at critical infrastructure, varying in scope, scale, duration, intensity, complexity, sophistication, and impact, are becoming increasingly common and demand a mobilization of the full range of respective tools and instruments, and joint response.
Researchers analyze and developed various cybersecurity methods, covering the areas of security of computer networks and cyber-physical systems, situational awareness of cybersecurity and visualization, fog computing security, orchestration of fog computing services, and computer forensics.
Principal investigators: Prof. Dr. R. Butleris
The main goal is the facilitation of the growth of the quality of the surrounding information systems through the improvement of systems engineering approaches and information management capabilities.
Researchers develop solutions that involve business intelligence, machine learning, distributed ledger architectures and smart contracts, ontologies, natural language processing, semantic technologies, modelling of business processes, specialized CASE tools, and model-driven development paradigm- based solutions. The group focusses on research and development of solutions to such problems as seamless integration between deliverables of analysis, requirements specification and systems design as well as automated understanding and utilization of vast amounts of heterogeneous data and information, using methods based on semantic analysis, knowledge modelling and AI.
Principal investigator: Prof. Dr. T. Blažauskas
Reserchers’ aim is to find new approaches to education, health, rehabilitation, and other areas by exploiting the advances in the fields of mixed reality, human body tracking, haptics and AI.
Research and solutions already developed are related to virtual reality technologies, which we apply to disease diagnostics, rehabilitation and training. Researchers are focusing on human body tracking for sports and rehabilitation using VR technologies, and immersive technologies for education.
Principal investigator: Assoc. Prof. Dr. D. Gudonienė
There is a gap in intelligent supportive technologies in the market of the education sector.
The topic is smart content production, covering such areas as: (1) Digital lessons, (2) Information visualization, (3) Learning content design, (4) Chabot’s based support systems.
Principal investigators: Prof. Dr. R. Maskeliūnas, Prof. Dr. R. Damaševičius
The application of computer vision in healthcare can help to improve diagnostics, earlier detection of health issues, and better treatment plans. In bio signal analysis, AI algorithms can be trained to recognize patterns in signals that indicate disorders or other health issues.
The expertise in computer vision and signal processing gained by our researchers solving tasks like recognition of Alzheimer’s disease, screening Parkinson’s disease, tumour/cancer detection and classification, and human posture detection makes solid background for further research. We aim to improve the feature extraction and analysis techniques to achieve better performance of the models and extend their applicability.
Principal investigator: Prof. Dr. A. Paulauskaitė –Tarasevičienė
As the use of AI systems in various domains can have significant impacts on people’s lives, it is crucial to ensure that these systems are aligned with ethical principles and human rights standards. The transparency and explainability of AI systems play a critical role in this regard. Research background and topics.
The experience of researchers is gained in different AI approaches (from expert systems to deep learning architectures), data analysis, and XAI methods including local and global explanation models applied in the following sectors: health, manufacturing, cybersecurity and agriculture. The development of XAI algorithms is a key area of research that seeks to address the challenges posed by black-box AI solutions. It covers the topics of robust model interpretation algorithms for visualizing and interpreting the inner workings of AI model; bias detection and mitigation techniques; adversarial attacks and adversarial robustness.
Principal investigator: Prof. Dr. R. Barauskas
AI models are known for their ability to identify patterns. This feature enables AI-based models to solve problems that cannot be described by physical equations due to their complexity.
Direct application of such models to simulate physical behavior usually lacks physical consistency and poorly generalizes in out-of-sample cases. The combination of AI and computational mechanics allows us to employ physical equations and data-driven knowledge to simulate the processes of dynamic systems in acceptable resolution while ensuring physical consistency.
Principal Investigators: Prof. Dr. G. Palubeckis.
One of the most significant parts of computer science and computational intelligence is heuristic and metaheuristic optimization algorithms. Optimization is everywhere – its methods constitute a field of research capable of providing one of the greatest economic benefits.
Currently, there exist a number of algorithms for solving combinatorial optimization problems arising in real-world applications, but there is a need for new metaheuristic algorithms with increased performance and quality measures. Nature-inspired heuristic algorithms are simple, yet effective and can deal with complex, multimodal, high dimensional objective functions, can be hybridized with other types of optimization algorithms and can save computational and energy resources.
The capabilities of algorithms are enhanced by the synergy with other computational intelligence techniques and other research directions, such as manufacturing, transportation, agriculture, healthcare, etc.
| Research Group | Department | Principal Investigator |
| Artificial Intelligence and Image Processing Methods in Multimedia | Department of Multimedia Engineering | assoc. prof. dr. Armantas Ostreika |
| Cyber Security | Department of Computer Sciences | prof. dr. Algimantas Venčkauskas |
| Internet-of-Things and Services | Department of Computer Sciences | prof. dr. Egidijus Kazanavičius |
| Multidisciplinary Models | Department of Applied Informatics | prof. dr. Rimantas Barauskas |
| Multimodal Human-Computer Interactions | Department of Software Engineering | prof. dr. Tomas Blažauskas |
| Semantics and Knowledge-Based Engineering of Information Systems | Department of Information Systems | prof. dr. Rimantas Butleris |
| Smart Educational Technologies and Their Application | Department of Multimedia Engineering | dr. Daina Gudonienė |
| Systems Design and Testing | Department of Software Engineering | prof. dr. Eduardas Bareiša |
| Other Researchers in Informatics |
Faculty of Informatics focuses on the various research areas related with modern computer science and engineering, as well as computational science, including scientific computation based on multidisciplinary mathematical models, optimization and artificial intelligence. Simultaneously, focus is held on fundamental research in the field of related mathematical methods. The Faculty of Informatics is following the institutional priorities of Digital transformation, Industry transformation, Smart cities and resilient communities. Additionally, we adhere to the national priorities of Smart specialization and to five priorities of European Commission: Green deal, Digital age, economy that works for people, a stronger Europe in the world, and promoting our European way of life.
Dissertations defended at the faculty are in Informatics (N009) and Informatics Engineering (T007)
NAME SURNAME |
TITLE OF THE THESIS | SUPERVISOR | YEAR |
| Dovilė Verenė | Genetic hierarchical algorithms for the quadratic assignment problem | Alfonsas Misevičius | 2022 |
| Aušra Gadeikytė | Multiscale models and algorithms for the simulation of heat and moisture transfer in textile structures | Rimantas Barauskas | 2022 |
| Jurgita Arnastauskaitė | Development and comparative study using the Monte Carlo method of goodness-of-fit tests for normality | Tomas Ruzgas | 2022 |
| Vaiva Šiaučiūnaitė | Application of nonlinear dynamics methods and algorithms in cardiac signal analysis | Minvydas Ragulskis | 2022 |
| Audrius Kulikajevas | Reconstruction algorithm of invisible sides of a 3D object for depth scanning systems | Rytis Maskeliūnas | 2022 |
| Kazimieras Bagdonas | Multimodal security system for Internet of Things communications | Algimantas Venčkauskas | 2022 |
| Rytis Augustauskas | Detection of textured surface defects using deep neural networks | Arūnas Lipnickas | 2022 |
| Sandeepak Bhandari | Research and implementation of timeline analysis method for digital forensics evidence | Vacius Jusas | 2022 |
| Indraja Elžbieta Germanaitė | Research of spatial patterns description, identification and application solving spatial analysis tasks | Rimantas Butleris | 2022 |
| Sam Gilvine Samuvel | Research and Implementation of the Methods to Recognize | Vacius Jusas | 2021 |
| Gintarė Žekienė | Hybrid Recognition Technology for Lithuanian Voice Commands | Kastytis Ratkevičius | 2021 |
| Eglė Butkevičiūtė | ECG Signal Analysis for the Modelling of Training Process and Fatigue Evaluation | Liepa Bikulčienė | 2021 |
| Donatas Mažeika | Model-Based Systems Engineering Method for Creating Secure Systems | Lina Nemuraitė, Rimantas Butleris | 2021 |
| Darius Dirvanauskas | Algorithm for Live Cell Classification and Monitoring Based on Deep Neural Networks | Rytis Maskeliūnas | 2021 |
| Tadas Telksnys | Construction of Solitary Solutions to Differential Equations via Operator Techniques | Minvydas Kazys Ragulskis | 2020 |
| Šarūnas Grigaliūnas | Development of Cybercrime Forensic Investigation Method | Jevgenijus Toldinas | 2020 |
| Justas Šalkevičius | Virtual Reality for Anxiety Recognition Using Physiological Signals – Framework, Methods and Evaluation | Robertas Damaševičius | 2020 |
| Andrius Lauraitis | Hybrid Classification Model for Neural Impairment Detection | Rytis Maskeliūnas | 2020 |
| Tomas Uktveris | Multi-Class EEG Signal Classification and Acquisition System for Brain-Computer Interface | Vacius Jusas | 2019 |
| Sandra Aleksienė | Hiding Visual Information in Deformable and Two-Dimensional Moiré Gratings | Minvydas Kazys Ragulskis, Eligijus Sakalauskas | 2019 |
| Mindaugas Vasiljevas | Human-Assistive Interface Model of Physiological Computing Systems | Robertas Damaševičius | 2019 |
| Mindaugas Bražėnas | Investigation of Phase-Type Distribution of Fourth Order Structures for Fitting and Markov Arrival Process Fitting by Expectation Maximization Algorithm Parallelization | Eimutis Valakevičius | 2019 |
| Julius Gelšvartas | Multifunctional User Interface for Quadriplegics: Development and Investigation | Rimvydas Simutis | 2019 |
| Jonas Muleravičius | The E-Wallet in an E-Commerce System | Eligijus Sakalauskas | 2019 |
| Evelina Stanavičienė | The Application of Hybrid Genetic Algorithms for the Grey Pattern Problem | Alfonsas Misevičius | 2019 |
| Martynas Vaidelys | Self-Organizing Patterns in Information Hiding Applications | Minvydas Kazys Ragulskis | 2018 |
| Jonas Minelga | Computational Intelligence Methods for Non-Invasive Larynx Pathology Screening | Antanas Verikas | 2018 |
| Eglė Mickevičiūtė | Business Process Representation Based on Business Vocabulary and Business Rules Semantics | Rimantas Butleris | 2018 |
| Audrius Nečiūnas | Algorithms of Numerical Simulation of Elastic Waves Propagating in Dissipative Environments | Rimantas Barauskas | 2018 |
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Nerijus Jusas
|
Creation of Systems of Internet of Things, Based on Feature-Based Models
|
Algimantas Venčkauskas | 2017 |
|
Algirdas Šukys
|
Ontology Queries Based on the Semantics of the Vocabulary and Activity Rules
|
Lina Nemuraitė | 2017 |
|
Andrius Kriščiūnas
|
Creation of Fast Convergent Numerical Algorithms for Short Wave Research
|
Rimantas Barauskas | 2017 |
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Dalia Čalnerytė
|
Creation of Multidisciplinary Numerical Models for the Analysis of Dynamics of Flexible Unidirectional Composites
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Rimantas Barauskas | 2017 |
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Rolandas Girčys
|
Creation and Research of a Wearable, Real-Time Blood Flow Monitoring System
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Egidijus Kazanavičius | 2016 |
|
Ignas Martišius
|
Data Capture and Signal Processing Algorithms for Brain-to-Computer Interface
|
Robertas Damaševičius | 2016 |
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Jaroslav Karpovič
|
Representation of Semantics of Operational Dictionaries and Activity Rules in Language of Semantic Network Ontologies
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Lina Nemuraitė | 2015 |
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Kristina Bespalova
|
Automated Creation of Meta-Softwares and Specialisation Using Transformations of Feature-Based Models
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Vytautas Štuikys | 2015 |
In order to increase the visibility and appreciation of the Faculty’s researchers and to promote science and technology, the research works and inventions produced by the researchers are presented at national and international science exhibitions. Startups based on the inventions of Faculty graduates are among the most ambitious and successful in Lithuania.
Faculty scientists publish their research results in top-ranked foreign journals with citation factor (Nature Scientific Reports (IF= 4.996), Biophysical journal (IF=3.669); Composite structures (IF=6.603), Information Sciences (IF=8. 233), Computers & operations research (IF=5.159), Computers & industrial engineering (IF=7.18), Journal of systems and software (IF=3.514), Sensors (IF=3.847), Expert systems with applications (IF=8.665), and presenting at high-level international scientific conferences (IEEE SSCI, DAC, ICAISC).
The International Conference on Information and Software Technologies (ICIST) (formerly known as “Information Technologies”) has for many years remained the largest and most important international scientific conference in the field of information technologies, organised annually in Lithuania. It started in 1995 and became an international conference in 2008. The programme committee is mainly composed of foreign scientists, and the publications of the conference proceedings are included in the Thomson Reuters WoS Proceedings database since 2008. The event is relevant for Lithuanian science and studies in several aspects, i.e. a wide range of topics in the fields of computer engineering and computer science, with a particular focus on systems modelling and software development. Every year, Lithuanian and foreign researchers submit more than 120 papers to the International Programme Committee of the conference, of which no more than 40% are selected for publication in the main journal. Since 2012, the main journal has been published in the Springer-Verlag CCIS series (this series is referenced in the Clarivate Analytics Os and Scopus databases).
International Conference “Infomation Society and University Studies” (IVUS) is a joint event that brings together by three countries and is aimed at Master’s and PhD students as well as at young scientists at the beginning of their careers to share ideas, present research results and provide new scientific opportunities. The participation of researchers and practitioners of the field is also encouraged.
ALTA International Conference – “Advanced Learning Technologies”. In this conference, researchers, study experts, representatives of government and educational institutions will present new methodological and technological solutions for the education system. The aim of the conference is to promote international cooperation, the development of Lithuanian science and scientific relations.
NAME SURNAME |
WORKING GROUP/COMMISSION | STATE AGENCY | YEAR OF PARTICIPATION |
| Agnė Paulauskaitė – Tarasevičienė | Work on the State Progress Strategy “Lithuania 2050” | Government Strategic Analysis Center | 2022-02-10 – present |
| Mantas Lukoševičius | Member of the 2022 awards commission | Artificial Intelligence Association of Lithuania | 2022-01-30 – present |
| Agnė Paulauskaitė – Tarasevičienė | Institutional representative working the strategic group | Artificial Intelligence Association of Lithuania | 2022-01-30 – present |
| Rimantas Butleris | KTU representative | INFOBALT association | 2022-01-01 – present |
| Rimantas Butleris | KTU representative | European Research Infrastructure Consortium “Common Language Resources and Technology Infrastructure” CLARIN ERIC (CLARIN LT) | 2018-01-01 – present |
| Rimantas Barauskas | Expert for evaluation of scientific projects and programs | Research Council of Lithuania | 2018-01-01 – present |
| Rimantas Barauskas | Full Member | Division of Technical Sciences the Lithuanian Academy of Sciences | 2018-01-01 – present |
| Rytis Maskeliūnas | Expert for evaluation of scientific projects and programs | Research Council of Lithuania | 2017-09-18 – present |
| Rytis Maskeliūnas | Member of the Lithuanian construction sector development monitoring and coordination working group | Lithuanian construction sector | 2017-09-18 – present |
| Algimantas Venčkauskas | Steering committee member at the Cybersecurity Council, Ministry of National Defense Republic of Lithuania. | Ministry of National Defence of Lithuania | 2012-11-08 – present |
| Rita Butkienė | Leader of the experts group | Centre for Quality Assessment in Higher Education | 2019-10-17 – 2022-12-31 |
| Renata Burbaitė | Chairwoman of the Information Technologies Examination Assessment Board | National Agency for Education | 2020-01-01 – 2022-06-30 |
| Rytis Maskeliūnas | Lithuanian representative in the committee of the European Union research and innovation program “Horizon 2021” | Agency for Science, Innovation and Technology | 2021-05-13 – 2021-12-10 |
| Audrius Lopata | Expert | Lithuanian Business Support Agency | 2020-01-01 – 2020-12-31 |
| Šarūnas Grigaliūnas | Expert and IT Security Group Leader at KTU ITD Computer network centre | Computer network of Lithuanian research and study institutions LITNET | 2019-01-01 – 2019-12-30 |
| Robertas Damaševičius | Lithuanian representative in the committee of the European Union research and innovation program “Horizon 2020” | Agency for Science, Innovation and Technology (MITA) | 2019-01-01 – 2019-12-30 |
| Egidijus Kazanavičius | Member of the Cyber Security Council under the Ministry of National Defense | Ministry of National Defence of Lithuania | 2019-04-30 – 2019-12-30 |
| Rimantas Butleris | Member of the working group of the national industrial digitalization platform “Industry 4.0” | Ministry of the Economy and Innovation of the Republic of Lithuania | 2019-04-11 – 2019-12-30 |
| Algimantas Venčkauskas | Member of The National Industrial Digitalization Platform “Industry 4.0”. Cyber security working group | Ministry of the Economy and Innovation of the Republic of Lithuania | 2018-05-11 – 2019-12-30 |
NAME SURNAME |
POSITION | SCIENTIFIC JOURNAL | YEARS |
| Martynas Patašius | Reviewer Board member | Mathematics | 2022-01-10 – present |
| Martynas Patašius | Editor | Computation, Special issue “Application of Finite Element Methods | 2022-01-10 – present |
| Miguel A.F. Sanjuan | Editor in Chief | Journal of Applied Nonlinear Dynamics | 2022-01-10 – present |
| Miguel A.F. Sanjuan | Associate Editor | Discontinuity, Nonlinearity and Complexity | 2022-01-10 – present |
| Rimantas Barauskas | Editor | Computation | 2022-01-03 – present |
| Jevgenijus Toldinas | Editor | MDPI Electronics | 2021-01-01 – present |
| Rytis Maskeliūnas | Special Issue Editor | Sustainability, MDPI | 2021-01-01 – present |
| Vacius Jusas | Editor in Chief | Information Technology and Control | 2016-01-01 – present |
| Rytis Maskeliūnas | Editors board member | Covenant Journal of Informatics and Communication Technology | 2013-01-23 – present |
| Rimantas Barauskas | Editors board member | Information Technology and Control | 2011-01-10 – present |
| Agnius Liutkevičius | Guest Editor | Journal of Computer Science & Computational Mathematics | 2020-01-01 – 2020-12-31 |
| Vytautas Rudžionis | Editors board member | Information systems and technologies security | 2020-01-01 – 2020-12-31 |
| Robertas Damaševičius | Editor in Chief | Information Technology and Control | 2020-01-01 – 2020-12-31 |
| Egidijus Kazanavičius | Editors board member | Baltic Journal of Modern Computing | 2019-01-01 – 2019-12-30 |
| Vytenis Punys | Member of the Advisory Board | Machine Graphics & Vision | 2011-01-01 – 2020-12-31 |
| Audrius Lopata | Editors board member | Complex Systems Informatics and Modeling Quarterly | 2019-01-01 – 2019-12-30 |
| Tomas Skersys | Editors board member | Social Technologies | 2019-01-01 – 2019-12-30 |
Researchers of the Faculty of Informatics use the IT infrastructure provided by KTU for their research. The software can be used at the workplace, in computer labs, in the library or by connecting to the KTU cloud services via. Researchers can also use the High Performance Computing (HPC) services provided by the KTU Artificial Intelligence Centre.
The services provided by the researchers of the Faculty of Informatics are registered and available through the University’s Open Access Resources and Services Management and Accounting Information System (APCIS)
Two centres provide research services at the Faculty:
Centre of Information Systems Design Technology
The Centre focuses on scientific research and technological development of informatics engineering and informatics fields, on creation of new scientific knowledge and its application in study process and promotion to the society. There are five active research laboratories at the Centre:
The Centre was established by reorganising a science laboratory of Information Systems and Databases Programming at the Faculty of Informatics, Department of Information Systems. An official abbreviation for this centre is ISPTC.
The Centre provides services for applied research, experimental development and technical feasibility studies.
See moreCentre of Real Time Computer Systems
The Centre of Real Time Computer Systems carries out applied and fundamental research in the areas of smart environments and the Internet of things and services. Scientists and researchers of the Centre take part in international and national projects, actively collaborate with companies around the world. Together with TEO LT AB projects such as GALA and TV MOZAIKA were completed. AXMEDIS content distribution system was created in collaboration with foreign partners. The Centre collaborates with Aalborg, London City, Danish Technical, Darmstadt universities and their research centres. The Centre is also in contact with Siemens, Philips, Advantech, Analog Devices, Texas Instruments, Microsoft, Intermedix and other global companies.
The staff of the Centre is actively involved in the tudy process. They are in charge and supervise various modules belonging to Informatics Engineering study programme, and the new Health Informatics programme, the aim of which is to train specialists that have public health and informatics skills, are able to design, create and install software for solving health problems.
See moreUsing technological solutions created by our scientists and researchers we help our clients solve technological problems. Partnership with business encompasses all stages of cooperation: from simple orders and first tests to joint R&D projects and other services.
Reserve equipment or order a service through KTU Open Access Centre.
KTU Faculty of Informatics publishes journal Information Technologies and Control . Since 2007, the journal is included into the ISI Master Journal List database.
Since 1994 the Faculty organises international conference “Information and Software Technologies” (ICIST).
Since 1995 the Faculty organises international university conference of Master and Doctoral Students “Information Society and University Studies” (IVUS).
The Faculty organises international conference ALTA: Intelligent Learning Technology
Vice-Dean for Research
Dr. Daina Gudonienė
Studentų st. 50
e-mail daina.gudoniene@ktu.lt
Administrator for Science Production
Ieva Kybartaitė
Studentų st. 50
e-mail ieva.kybartaite@ktu.lt
