Electrical and Electronic Engineering

Double degree programme with the University of Bologna, Italy

Electrical and electronic engineering is one of the widest research fields. There are no sectors in industry or science which could develop without innovative electronic solutions. Investigations during doctoral studies are carried out in the fields, such as ultrasonic measurements and diagnostics in aviation, energy generation and supply systems, and other industrial sectors, applications of electronic solutions in biomedicine, monitoring and control systems for various economic and transportation facilities, including signal processing and imaging. Investigations are conducted using modern research tools and instruments in the ‘Santaka’ scientific valley. Doctoral studies of this field provide a possibility to carry out part of experiments in the research institutions of the United Kingdom and Italy.
The objective of the work of doctoral students is to propose and investigate innovative solutions for the above-listed sectors of industry and science.

Topic title	Possible scientific supervisors	Source of funding
Research of a Multifunctional Hybrid Chip for Efficient Power Control	prof. dr. Algimantas Valinevičius	state-funded
Efficient signal excitation and processing technologies for ultrasonic measurements and imaging	prof. dr. Linas Svilainis	state-funded	Research Topic Summary. 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, signal bandwidth can be optimized/corrected thanks to innovative excitation signals. Excitation is not limited to conventional acoustic sources, but also photoacoustics can be used. Laser ultrasound excitation can use spread spectrum signals which in turn can be adapted to spectral/correlation properties requirements. Reference signals can 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.
Electronic System of Ultrapenetrative Disinfection and Probiotics Colonization	doc. dr. Mindaugas Žilys	state-funded
Investigation of topologies of electro-optical modulators and sources of acoustic noises in lasers	prof. dr. Vytautas Markevičius	state-funded	Research Topic Summary. Electro-optical modulators are used in high-power laser systems for beam power regulation. Such devices operate under very difficult conditions - high (>1.5kV) voltage and fast switching (<5nsec) and 1-2MHz repetition rate, which causes high energy consumption of electro-optical modulators. Currently, when the laser is operating at a repetition rate of 1-2MHz, standard Si transistors have to be cooled with water, because about 160W of heat is released. Recently, promising GaN, SiC transistors have appeared, which are faster and have lower resistance, so water cooling is likely to be avoided. However, due to the specifics of GaN, SiC transistors, the electronics of the modulators need to be redesigned. Electro-optical crystals are also characterized by the piezo effect, which creates new control possibilities, but is also a source of noise. Damping of acoustic vibrations in electro-optical modulators can be realized by using the piezo effect of crystals.
Research of energy harvesting from environment for electronic devices	prof. dr. Dangirutis Navikas	state-funded
Smart City 5G Parking System for Vehicle Flow Optimization	prof. dr. Darius Andriukaitis	state-funded
Problems and development of non-invasive technologies for physiological monitoring of human brain and for neuroprotection of brain functions.	prof. dr. Arminas Ragauskas	state-funded
Investigating Technologies for the Identification, Prediction, and Monitoring of Cardiovascular Pathologies	prof. dr. Vaidotas Marozas	state-funded	Research Topic Summary. This research addresses the pressing issue of chronic cardiovascular disease, particularly focusing on arterial hypertension and its link to dangerous cardiac arrhythmias. Existing medical technologies lack the capacity for continuous, non-invasive recording of circadian variations in blood pressure-related biomarkers and their correlation with arrhythmias. Our aim is to develop biosignal synergy-based algorithms for digital biomarker and their uncertainty estimation, enhancing chronic disease monitoring. Key objectives include algorithm development, dataset creation, and reliability assessment for predicting cardiac arrhythmias. Expected outcomes comprise a methodology for continuous biomarker tracking and biosignal analysis algorithms. Leveraging devices from the Biomedical Engineering Institute, such as a multisensory bracelet, this study integrates various sensors for comprehensive physiological signal recording.
Programmable focus system development for video camera	prof. dr. Renaldas Urniežius	state-funded
Structural integrity assessment of thermoplastic composite structures with thermally induced healing capabilities using ultrasonic guided waves	prof. dr. Elena Jasiūnienė	state-funded	Research Topic Summary. Nowadays thermoplastic composite structures, among other advantages, are gaining popularity due to their recyclability properties. Particularly attractive is the ability of thermoplastic composites to retain their properties after being melted and consolidated. The idea is that this ability could be used for self-healing. However, it is necessary to verify the quality of self-healing, and for that ultrasonic guided waves could be used. Ultrasonic guided waves have proved to be sensitive to the changes in the material properties and are able not only to detect different defects, providing indication of damage, but also to assess their size and location. In addition, ultrasonic guided waves can travel long distances, thus allowing the inspection of large structures.
Application of artificial intelligence methods for analysis of informative regions within ultrasonic NDT and medical diagnostic images	prof. dr. Renaldas Raišutis	state-funded	Research Topic Summary. The scientific problem includes the informative analysis of ultrasound signals and diagnostic images and the quantitative interpretation of the results in order to detect internal defects and pathologies. The aim is to develop and investigate the methods of analysis of informative areas in ultrasound non-destructive testing and medical diagnostic images, providing opportunities for quantitative parameter measurement and automated classification of these areas (internal defects and various pathologies), using artificial intelligence methods.

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Application procedure

Mandatory documents for admission:

Application indicating the science field, the topic and the form of funding (online)*
Official legalised Master’s diploma with the diploma supplements or a higher education degree equivalents and academic transcripts (translated into English or Lithuanian and notary verified) and the certificate of recognition if higher education qualification acquired abroad
Curriculum Vitae
Recommendations by two researchers of the relevant science field
A research proposal on the selected topic (if the applicant applies to two topics, two individual research proposals have to be submitted)
A list of the research works with a full bibliographic description and copies thereof; if no research works by the applicant are presented, the applicant is required to present a research paper whose topic is consistent with the dissertation topic indicated in the applicant’s application (if the applicant applies to two dissertation topics, two individual research papers have to be submitted)
A copy of a valid personal document: a passport (for citizens of all countries) or an ID card (only for citizens of the European Union)
A copy of the receipt of the application fee payment (50 EUR for EU citizens, and 120 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

* The applicant can select no more than 2 (two) research fields and no more than 2 (two) topics per science field.

Participation in motivational interview (Kaunas University of Technology, Studentų g. 50, Kaunas, Lithuania or online)

Signing a study agreement (if invited to study)

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

Weighted grade point average of the Master’s diploma supplement	0,35
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)	0,35
Research proposal on the selected topic for admission	0,05
Motivational interview, including evaluation of the knowledge of a foreign language	0,25

Electrical and Electronic Engineering

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Research topics

Research Topic Summary.

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Research Topic Summary.

Entry requirements

Minimum requirements

Application procedure

Selection criteria and their weighted coefficients

Study programme modules

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