- For applicants
- Doctoral Studies
- Fields of Doctoral Studies
- Electrical and Electronic Engineering
Electrical and Electronic Engineering
Potential Supervisors
- Department of Electrical Engineering
- Department of Electronic Systems
- Department of Computer Science and Communications Technologies
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Prof. Dr. Voitech StankevičAssociate professor
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Prof. Dr. Sonata TolvaišienėProfessor
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Prof. Dr. Nerija ŽurauskienėProfessor
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Assoc Prof. Dr. Audrius GrainysProfessor
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Prof. Dr. Vitalij NovickijProfessor
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Assoc Prof. Dr. Mindaugas LuneckasAssociate professor
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Assoc Prof. Dr. Tomas LuneckasAssociate professor
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Assoc Prof. Dr. Dainius UdrisProfessor
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Prof. Dr. Tatjana GricProfessor
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Prof. Dr. Dalius MatuzevičiusChief Research Fellow
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Prof. Dr. Dalius NavakauskasVice-rector for research and innovation
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Prof. Dr. Andrius KatkevičiusChief Research Fellow
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Assoc Prof. Dr. Audrius KrukonisAssociate professor
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Prof. Dr. Darius PlonisChief Research Fellow
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Assoc Prof. Dr. Dalius SeliutaAssociate professor
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Prof. Dr. Artūras SerackisChief Research Fellow
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Assoc Prof. Dr. Tomyslav SledevičChief Research Fellow
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Prof. Dr. Vytautas UrbanavičiusAssociate professor
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Prof. Dr Habil. Romualdas NavickasProfessor
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Prof. Dr. Algirdas BaškysProfessor
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Prof. Dr Šarūnas Paulikas
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Assoc Prof. Dr. Zigmas BalevičiusProfessor
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Prof. Dr. Vaidotas BarzdėnasChief Research Fellow
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Assoc Prof. Dr. Nerijus PaulauskasAssociate professor
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Assoc Prof. Dr. Aleksandr VasjanovChief Research Fellow
Dissertation Topics
General Study Subjects
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KIFSD18001 6 credits
Academic communication
Examiners: doc. dr. Ilona Valantinaitė, doc. dr. Vida NavickienėModule aim
To develop students' pedagogical competence, adapted to the individual educational practice, successful and modern planning, organizing and managing the study process.
Description
The subject reveals close connections between subject, scientific and educational competencies of a teacher. During lectures, seminars, and independent work, higher education didactics is analyzed, emphasizing student-centered studies, international and national higher education space, forms and methods of communication, methodologies in academic environment with different groups of society. The basis of studies consists of reflexive experiential learning, which helps to develop doctoral students' analytical and critical thinking, ability to evaluate their own and others' decisions, promotes a holistic and responsible approach to their activities. -
FMISD19002 9 credits
Fundamentals of scientific research methods( for PhD students of humanities)
Examiners: prof. habil. dr. Antanas Čenys, prof. dr. Ilona SkačkauskienėModule aim
To introduce the most innovative research methods and methodologies providing specialized knowledge for the solutions to the scientific research and other areas problems.
Description
Science philosophy. Prevention of plagiarism. Search for scientific information. Scientific information bases. How to write and publish a paper in a journal indexed in Web of Science. Modern software tools for research planning and scientific results publishing. Modern software tools for research planning and scientific results publishing Knowledge transfer, commercialization and patenting. -
FMISD19003 9 credits
Fundamentals of scientific research methods (for PhD students of social sciences)
Examiners: prof. habil. dr. Antanas Čenys, prof. dr. Ilona SkačkauskienėModule aim
To introduce the most innovative research methods and methodologies providing specialized knowledge for the solutions to the scientific research and other areas problems.
Description
Science philosophy. Search for scientific information. How to write and publish a paper in a journal indexed in Web of Science. Big data and its analytics. Modern software tools for research planning and scientific results publishing. Quantitative methods for cross-sectional data analysis. Modern software tools for processing and vizualization of experiments results. Statistical processing of the research data and development of empirical models. Knowledge transfer, commercialization and patenting. -
FMISD19001 9 credits
Fundamentals of scientific research methods (for PhD students of technological and natural sciences)
Examiners: prof. habil. dr. Antanas Čenys, prof. dr. Ilona SkačkauskienėModule aim
To introduce the most innovative research methods and methodologies providing specialized knowledge for the solutions to the scientific research and other areas problems.
Description
Science philosophy. Prevention of plagiarism. Search for scientific information. Scientific information bases. How to write and publish a paper in a journal indexed in Web of Science. Modern software tools for research planning and scientific results publishing. Modern software tools for research planning and scientific results publishing Knowledge transfer, commercialization and patenting.
Field of Study Subjects
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ELESD19315 6 credits
Topical Matter of Optoelectronics
Examiners: doc. dr. Dalius Seliuta, Doktoranto vadovas arba profilinės katedros vedėjas arba doktorantūros komiteto narysModule aim
To support doctoral students to acquire knowledge of modern optoelectronic materials, devices and technologies, and to implement and apply the acquired knowledge in future research and experimentation.
Description
Systematic theoretical and practical knowledge about modern optoelectronic materials, structures and basic technological solutions; knowledge about basic physical mechanisms of light emitters, radiation receivers and devices for manipulation of electromagnetic waves. Development of abilities of modeling, optimization and application in practical situations. -
ELESD19304 6 credits
Theory of Artificial Neural Networks
Examiners: prof. dr. Artūras Serackis, prof. dr. Dalius NavakauskasModule aim
To support doctoral students to master theory of artificial neural networks, and organize, implement and apply the acquired knowledge in the future research and experimentation.
Description
Students acquire systematic theoretical and working knowledge about modern static and dynamic artificial neural networks (up to 20 different titles), their structure, operations and training. They master with MATLAB artificial neural networks' simulation and processing of signals. Capabilities, learning processes, structure optimization and application aspects of artificial neural networks are questioned. -
ELKRD19306 6 credits
Embedded Systems Design
Examiners: prof. dr. Algirdas Baškys, Doktoranto vadovas arba profilinės katedros vedėjas arba doktorantūros komiteto narysModule aim
The aim of the module is to provide the knowledge about the embedded systems, which are necessary for research and development of new Embedded Systems for the control of technologies.
Description
The knowledge about the Embedded Systems (ES) classification, development stages, development platforms, ES kernels, data transfer, integrated ES development environments, debugging of ES programs and operation systems dedicated to ES are provided. The specialized knowledge about the ES dedicated to control of the AC motors and ES for automatic control of the technologies are delivered as well. -
ELKRD19311 6 credits
Computer System Security
Examiners: Doktoranto vadovas arba profilinės katedros vedėjas arba doktorantūros komiteto narys, doc. dr. Nerijus PaulauskasModule aim
To acquire a deeper knowledge about computer system design and application for advanced research in the field of computer and information security.
Description
Acquire theoretical and practical knowledge about modern computer systems, their security tools and mechanisms. Learn how to model computer system security using various methods and applications. Focus on computer systems security incident detection, analysis and management issues. -
ELEID19310 6 credits
Microprocessor systems
Examiners: doc. dr. Dainius Udris, Doktoranto vadovas arba profilinės katedros vedėjas arba doktorantūros komiteto narysModule aim
To provide PhD students with knowledge about structure of advanced microprocessor systems and principles of discrete time control systems design. Acquire ability to apply that in their research work.
Description
Student will acquire systemic and working knowledge for choosing of suitable system structure and elements, acquire abilities to predict the behavior of the plant, to choose optimal existing or develop new control algorithms. Acquire knowledge to develop suitable structure of microprocessor software, enabling long lasting reliable operation of the system and its renovation possibilities. -
ELESD19202 9 credits
Signal Processing in Electronic Circuits
Examiners: prof. dr. Artūras Serackis, prof. dr. Darius PlonisModule aim
Acquire a systemic understanding about the theory of signal processing in electronic circuits, ability to organize, implement and apply the acquired knowledge in the future R&D.
Description
A systematic theoretical knowledge on characteristics of broad (narrow)-band deterministic signals and random processes is acquired. Evaluation techniques for (non-) linear circuit effects on signals; methods for selection of the right technique in time (frequency) domain; applications for signal processing; nonlinear circuits application for signal spectrum modification are mastered. -
ELESD19309 6 credits
Numerical Methods of Electromagnetism
Examiners: prof. dr. Andrius Katkevičius, Doktoranto vadovas arba profilinės katedros vedėjas arba doktorantūros komiteto narysModule aim
To help doctoral students gain knowledge and skills of numerical methods which are necessary for electrodynamic systems research, and for designing microwave devices and systems.
Description
Students acquire theoretical and working knowledge about numerical methods (finite differences, finite elements, finite difference time domain, and integral equations) and possibility of their application for the solving of problems of electromagnetism. Students receive skills of calculation of electromagnetic fields, creations of models of microwave devices and researching of their properties. -
ELKRD19312 6 credits
Design Integrated Circuits and Systems on Chip
Examiners: doc. dr. Aleksandr Vasjanov, Doktoranto vadovas arba profilinės katedros vedėjas arba doktorantūros komiteto narys, prof. dr. Vaidotas BarzdėnasModule aim
To acquire deeper knowledge and skills needed for the design and scientific research of system-on-chip and their systems.
Description
In the course of Design Integrated Circuits and Systems on Chips, deeper and/or new knowledge is acquired about computer models of integrated circuit components, the design of very large-scale circuits with complementary metal-oxide-semiconductor (CMOS) transistors, specifics of analog circuit modeling, advanced automated design technologies for chip layouts, and the developmental perspectives of design of systems-on-chip.
Committee
Vilnius Gediminas Technical University
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Prof. Dr. Artūras SerackisCommittee Chair
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Prof. Dr. Darius PlonisSecretary
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Prof. Dr. Vaidotas Barzdėnas
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Prof. Dr. Algirdas Baškys
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Prof. Dr. Dalius Navakauskas
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Prof. Dr. Vitalij Novickij
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Prof. Dr. Vytautas Urbanavičius
State Research Institute Center for Physical Sciences and Technology
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Prof. Dr. Voitech Stankevič
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Prof. Dr. Nerija Žurauskienė