Electrical and Electronic Engineering

Topic title	Possible scientific supervisors	Source of funding
Application of intelligence methods for matrix drives control	doc. dr. Gytis PETRAUSKAS	state-funded	Research Topic Summary. With the recent decline in the price of semiconductors, matrix AC-AC drives are gaining popularity worldwide. These actuators are based on a purely semiconductor device, the AC-AC matrix frequency converter. Like conventional AC-DC-AC drives, they are used for speed control of the AC motors in industrial and building engineering applications. One of the structural features of the matrix AC-AC drives is the ability to directly change electrical parameters at the point of connection to the power distribution lines, which would allow them to be used as the reactive power compensators. In addition, with the rise of energy efficient LED light sources, there are problems with capacitive reactive power generated by these sources, which cannot be compensated by conventional compensators. Due to their properties, the matrix AC-AC electric actuators can also be used to compensate the reactive power generated by the LED in addition to the AC motor speed control. Combining these two innovative technologies would bring significant economic and environmental benefits. The aim of the research is to develop a matrix AC-AC drive control methodology based on intelligent methods that would allow the use of these drives to compensate for the reactive power produced by modern reactive power sources while maintaining their main function as the standard AC motor drive.
Research of Non-invasive Remote Error Monitoring of Energy Meters	prof. dr. Žilvinas NAKUTIS	state-funded	Research Topic Summary. Currently electrical energy smart meters metrological in-service surveillance is implemented using sampling verification. The verification results of a group of sampled meters is used to judge regarding the validity of declared metrological characteristics of all batch of meters. In the last years, more and more evidence emerge indicating that errors of smart meters drift not only the ageing phenomena that are well described by probabilistic models, but also due to reliability issues of building components and features of electrical loads. One way to address the increasing requirements of customer economical protection is to increase sampling size for verification [1]. This inevitably rises in-service surveillance cost. Alternative opportunity is to implement remote meter error in-service monitoring. However, the scientific problem exists because neither non-invasive methods aiming to remotely monitor meter error nor their error estimate achievable uncertainties in real distribution grids are known (some methods are known but exhibit significant weaknesses). ... For further information please contact the supervisor of the topic.
Efficient signal excitation and processing technologies for ultrasonic measurements and imaging	prof. dr. Linas SVILAINIS	state-funded	Research Topic Summary. Ultrasound application is exceptionally effective because of direct interaction with material physical properties. Measurement and imaging resolution demand for reliable signals separation, but limited bandwidth is causing the signals to overlap. Research is aimed to develop the efficient signal excitation and processing techniques for ultrasonic imaging and measurements. Reliable time of flight and reflection amplitude estimation, imaging resolution and contrast are improved thanks to binary excitation spread spectrum signals application. Overlapping reflections are resolved either by spectroscopic or iterative deconvolution techniques. Correlation sidelobes can be optimized by excitation signal content variation. Reference signals will be made adaptable in order to increase the deconvolution efficiency. New signal quality is obtained thanks to efficient excitation and processing, which in turn enhances the possibilities for imaging and measurements. Results are planned to apply for non-contact and air coupled measurements in cooperation with research groups from Miguel Hernández University (Spain), Institute for Physical and Information (Spain), University of Perugia (Italy) and Warwick University (UK). Envisaged applications are plants physiological status monitoring, biomedical sensor by air coupled ultrasound (ITEFI), contactless ranging using FMCW technology (UNIPG), nanocomposite parameters measurement (UMH), flow meter (WU), fuel level meter (Lithuanian company), food industry (cooperation with Lithuanian companies), non-destructive evaluation of plastic components (foreign company).
Investigation of indirectly registered, biosignal fusion-based biomarkers for monitoring of chronic diseases	prof. dr. Vaidotas MAROZAS	state-funded
Development of non-invasive technologies for prevention of brain functions‘ impairments during cardiac bypass surgery	prof. dr. Arminas RAGAUSKAS	state-funded
Ultrasonic measurement and X-ray tomography for nondestructive testing, technical and medical diagnostic methods: Detection and characterization of defects in complex structures using artificial intelligent algorithms	prof. dr. Liudas MAŽEIKA	state-funded	Research Topic Summary. The main scope of the research carried on at Prof. K. Baršauskas Ultrasound Research Institute is "Ultrasonic and X-ray methods for measurement of non-electrical quantities, non-destructive testing and technical diagnostics”. The efficiency and actuality of development of such methods are caused by rapid industrial and business evolution, which leads to the complexity of implementations of higher-level technologies. These technologies require innovative measurement and monitoring methods, enabling fast automatic decision-making. Ultrasonic measurements is one of the technology allowing a relatively higher degree of automation, however, it requires innovative, integrated solutions for the electronics and signal processing, the implementation of which is particularly complicated under operating conditions of high temperature and pressure, or the complicated structure of the objects itself.... For further information please contact the supervisor of the topic.
Interactive electronic systems: Research of energy harvesting from environment for electronic devices	prof. dr. Vytautas MARKEVIČIUS	state-funded
Interactive electronic systems: Efficiency of data transmission in wireless technologies	prof. dr. Darius ANDRIUKAITIS	state-funded
Ultrasonic measurement and X-ray tomography for nondestructive testing, technical and medical diagnostic methods: Application of artificial intelligence methods for analysis and classification of ultrasonic diagnostic images	prof. dr. Renaldas RAIŠUTIS	state-funded
Ultrasonic measurement and X-ray tomography for nondestructive testing, technical and medical diagnostic methods: Multi-dimensional x-ray and ultrasonic data fusion	prof. dr. Elena JASIŪNIENĖ	state-funded
Interactive electronic systems: Detection of moving objects using signals of acoustic emission and seismic vibrations	prof. dr. Dangirutis NAVIKAS	state-funded

Download the list

Apply

Minimum requirements

Persons with a Master’s Degree or equivalent degree of higher education may participate in an open competition for admission to doctoral studies.

Applicants to the doctoral program in the field of science are accepted by competition according to the competition score. Minimum Competition Score 7,5

Application procedure

Application and the following documents are submitted online at apply.ktu.edu

Official legalised Bachelor’s and Master’s diplomas or a higher education degree equivalents and academic transcripts (translated into English or Lithuanian and notary verified)
Curriculum Vitae
Recommendations by two researchers of the relevant science field
A research proposal on the selected topic
A list of the research works (this list is submitted with full bibliographic description) along with copies of the research works (or a research paper on the topic (-s) consistent with the dissertation topic (-s) indicated in the candidate’s application, if a candidate does not have any research works)
A copy of the passport personal data page, or a copy of the ID card
A copy of the receipt of the application fee payment (40 EUR for EU citizens, and 100 EUR for non-EU citizens)
A certificate issued by IELTS, TOEFL, CERF or any other competent institution within the last 2 years certifying the level of the English language if the candidate is not a graduate of the first or second cycle studies conducted in the English language

Participation in motivational interview (Kaunas University of Technology, K. Donelaičio g. 73, Kaunas, Lithuania or online)

Signing a study agreement (if invited to study)

Selection criteria and their weighted coefficients

Weighted grade point average of the diploma supplement	0,4
Research experience Research experience in ten-point grading system (The evaluation of the research experience includes the candidate’s scientific publications or the research paper, other research experience, scientific qualifications, the compliance of the scientific publications and research experience with the topic of doctoral studies)	0,3
Motivational interview, including evaluation of the knowledge of a foreign language	0,25
Research proposal	0,05

Doctoral School contacts

Apply

Code	T001
Cycle	Third cycle
Language	Lithuanian, English
Duration	4 y.
Degree awarded	Doctor of Science

Research Topic Summary.

Research Topic Summary.

Research Topic Summary.

Research Topic Summary.

Minimum requirements

Application procedure

Selection criteria and their weighted coefficients