Combined study

4 years

doc. Ing. Petr Drexler, Ph.D.

Chairman :
doc. Ing. Petr Drexler, Ph.D.
Councillor internal :
doc. RNDr. Martin Kovár, Ph.D.
doc. Ing. Jan Mikulka, Ph.D.
prof. Ing. Lubomír Brančík, CSc.
doc. Ing. et Ing. Vilém Neděla, Ph.D., DSc.
doc. RNDr. Dana Hliněná, Ph.D.

The doctoral study program "Theoretical Electrical Engineering" is focused on the preparation of high-qualified scientific and research specialists in various areas of theoretical electrical engineering. Particularly, in the theory and applications of electromagnetism, electrical circuits, electro/magnetic measurement methods and signal processing methods. The preparation is supported by the provision of knowledge in related mathematical disciplines such as stochastic processes and statistical methods of systems investigation, systems analysis using functional equations, design of multi-criteria optimization methods, numerical methods for solution of continuous and discrete dynamical systems and others. The aim of the program is to provide a doctoral education to graduates of Master's degree in all these sub-disciplines, to deepen their theoretical knowledge and to develop practical expert skills and to educate them in the methods of scientific work.

Graduates in doctoral study program "Theoretical Electrical Engineering" are able to solve scientific and complex technical innovation tasks in the field of electrical engineering at the theoretical level, as well as its practical use in research, development and production. To solve technical research and development tasks, they are equipped with a complex knowledge of the theory and application of electromagnetic field, electrical circuits, methods of measuring and signal processing and their physical and mathematical description. They are able to use modern computing, measuring and diagnostic techniques in a creative way.
Thanks to the high-quality theoretical education, practical expert skills and specialization in the chosen field, graduates of doctoral study are sought as specialists and executive staff in general electrical engineering. They will apply as researchers in basic or applied research, as specialists and leaders of teams in development, design and operation in research and development institutions and in electrical and electronic manufacturing companies operating in the field of advanced technologies.

Specialists and executive staff in general electrical engineering, researchers in basic or applied research, specialists and leaders of teams in development, design and operation in research and development institutions and in electrical and electronic manufacturing companies operating in the field of advanced technologies

The doctoral study is conducted according to the individual study plan. The individual study plan is prepared by the supervisor in cooperation with the doctoral student at the beginning of the study. The individual study plan specifies all the duties stipulated in accordance with the Study and Examination Rules at the Brno University of Technology, which the doctoral student must fulfill to successfully finish his studies. These responsibilities are scheduled throughout the whole study period; they are scored and they are evaluated at the end of given periods.
The student enrolls and takes examinations of the compulsory courses Numerical Computations with Partial Differential Equations and English for the state doctoral exam; at least two obligatory elective courses relating to the focus of his dissertation and at least two optional courses (English for Post-graduates; Scientific Citing; Solution of Innovational Tasks; Scientific publishing).
The student may enroll for the state doctoral exam only after taking all the exams prescribed by the individual study plan. Before the state doctoral exam, the student prepares a treatise on dissertation thesis, which describes in detail the goals of the thesis, a thorough evaluation of the state of knowledge in the area of the dissertation solved, or the characterization of the methods intended to apply in the solution.
The defense of treatise on dissertation thesis, which is reviewed, is part of the state doctoral exam. In the next part of the exam the student must demonstrate deep theoretical and practical knowledge in the field of electrical engineering, electromagnetic field, circuit theory, methods of measuring electrical and other physical quantities, processing and analysis of signals and mathematical modeling of technical processes. The state doctoral exam has a form of oral presentation and discussion on the treatise on dissertation thesis. In addition, it also includes a discussion on issues of thematic areas related to obligatory and obligatory elective courses.
The doctoral student can apply for the defense of dissertation thesis after passing the state doctoral exam and after fulfilling conditions for termination of the study, such as participation in teaching; scientific and expert activity (creative activity) and at least a monthly study or work internship at a foreign institution or participation in an international creative project.

The doctoral studies of a student follow the Individual Study Plan (ISP), which is defined by the supervisor and the student at the beginning of the study period. The ISP is obligatory for the student, and specifies all duties being consistent with the Study and Examination Rules of BUT, which the student must successfully fulfill by the end of the study period. The duties are distributed throughout the whole study period, scored by credits/points and checked in defined dates. The current point evaluation of all activities of the student is summarized in the “Total point rating of doctoral student” document and is part of the ISP. At the beginning of the next study year the supervisor highlights eventual changes in ISP. By October, 15 of each study year the student submits the printed and signed ISP to Science Department of the faculty to check and archive.
Within the first four semesters the student passes the exams of compulsory, optional-specialized and/or optional-general courses to fulfill the score limit in Study area, and concurrently the student significantly deals with the study and analysis of the knowledge specific for the field defined by the dissertation thesis theme and also continuously deals with publishing these observations and own results. In the follow-up semesters the student focuses already more to the research and development that is linked to the dissertation thesis topic and to publishing the reached results and compilation of the dissertation thesis.
By the end of the second year of studies the student passes the Doctor State Exam, where the student proves the wide overview and deep knowledge in the field linked to the dissertation thesis topic. The student must apply for this exam by April, 30 in the second year of studies. Before the Doctor State Exam the student must successfully pass the exam from English language course.
In the third and fourth year of studies the student deals with the required research activities, publishes the reached results and compiles the dissertation thesis. As part of the study duties is also completing a study period at an abroad institution or participation on an international research project with results being published or presented in abroad or another form of direct participation of the student on an international cooperation activity, which must be proved by the date of submitting the dissertation thesis.
By the end of the winter term in the fourth year of study students submit the elaborated dissertation thesis to the supervisor, who scores this elaborate. The final dissertation thesis is expected to be submitted by the student by the end of the fourth year of the studies.
In full-time study form, during the study period the student is obliged to pass a pedagogical practice, i.e. participate in the education process. The participation of the student in the pedagogical activities is part of his/her research preparations. By the pedagogical practice the student gains experience in passing the knowledge and improves the presentation skills. The pedagogical practice load (exercises, laboratories, project supervision etc.) of the student is specified by the head of the department based on the agreement with the student’s supervisor. The duty of pedagogical practice does not apply to students-payers and combined study program students. The involvement of the student in the education process within the pedagogical practice is confirmed by the supervisor in the Information System of the university.

1. Advanced image analysis methods

   The aim of the dissertation is to increase scientific knowledge in the field of modern methods of image analysis. The PhD student will work closely with Bohunice University Hospital (Radiology Clinic) in the framework of his/her dissertation. With regard to the specific characteristics of magnetic resonance images, computed tomography and other imaging modalities, methods of preprocessing, segmentation and classification of images will be developed. The use of artificial intelligence and machine learning methods for tissue differentiation, standardisation of diagnostics, modelling of physical properties of tissues and their spatial distribution is envisaged. The PhD student's work will build on the ongoing project on spinal deformities.

   Tutor: Mikulka Jan, doc. Ing., Ph.D.

2. Algebraic hyperstructures in autonomous driving

   The dissertation will study possible applications of algebraic hyperstructure theory for autonomous driving and traffic control. It will make use of rough sets, generalizations of automata theory and other algebraic tools used for modeling contexts in which multivalued results of algebraic operations and their approximate descriptions are needed.

   Tutor: Novák Michal, doc. RNDr., Ph.D.

3. Analysis of pathological brain tissue

   Learn about the different types of MRI images such as T1 weighted and diffusion weighted images. Focus on imaging brain tissue containing pathologies such as glioblastoma, metastasis or abscess. Suggest new methods for classifying brain pathology.

   Tutor: Marcoň Petr, doc. Ing., Ph.D.

4. Analytical and numerical solving fractional systems of differential equations

   The aim of the dissertation thesis is a proposal of a numerical semi-analytical method which will be based based on Adomian decomposition method and integral transformations to solving initial value problems for fractional systems of differential equations in the sense of Caputo and Riemann-Liouville fractional derivative. Convergence analysis of the proposed method will be investigated as well.

   Tutor: Šmarda Zdeněk, doc. RNDr., CSc.

5. Controllability problems for discrete equations with an aftereffect

   The aim is to solve some controllabity problems on relative and trajectory controllability for systems of discrete equations with aftereffect. It is assumed that criteria of controllability will be derived and relevant algorithms for their solutions will be constructed (including constructions of controll functions). Starting literature – the book by M. Sami Fadali and Antonio Visioli, Digital Control Engineering, Analysis and Design, Elsewier, 2013 and papers by J. Diblík, Relative and trajectory controllability of linear discrete systems with constant coefficients and a single delay, IEEE Transactions on Automatic Control, (https://ieeexplore.ieee.org/document/8443094) 64 (2019), Issue 5, 2158-2165 and by J. Diblík, K. Mencáková, A note on relative controllability of higher-order linear delayed discrete systems, IEEE Transactions on Automatic Control 65, No 12 (2020), 5472-5479, (https://ieeexplore.ieee.org/document/901308900. During study a visit to Bialystok University, Poland, where similar problems are studied, is planned.

   Tutor: Diblík Josef, prof. RNDr., DrSc.

6. Electrical Impedance Tomography

   The aim of the dissertation is to increase scientific knowledge in the field of non-destructive analysis of the internal structure of materials by electrical impedance tomography. The expected direction of the dissertation work is the optimization of methods of reconstruction of electrical impedance distribution, the use of multispectral noise and impulse analysis, application and optimization of artificial intelligence and machine learning elements, acceleration of calculations using parallelization of calculations. The design of the methods will be carried out with respect to selected applications, e.g. soil investigation, condition of building structures, etc. in cooperation with specific institutions. Research activities will include modelling of the environment and the measurement system with equivalent circuits, simulation, emulation, measurements on the real environment including evaluation of the influence of the excitation signal frequency on the quality of reconstruction of the electrical properties of the analyzed environment.

   Tutor: Mikulka Jan, doc. Ing., Ph.D.

7. Methods for estimating the position of an unmanned aircraft

   Study the methods for simulating the position of an unmanned aircraft. The aim of this work is to design a new efficient method for drone position estimation.

   Tutor: Marcoň Petr, doc. Ing., Ph.D.

8. Modern image analysis methods for medical applications

   The aim of the dissertation is to increase scientific knowledge in the field of modern methods of image analysis. The PhD student will work closely with St. Anne's University Hospital (Neurosurgery Clinic). Taking into account the specific characteristics of MRI images and other imaging modalities, methods of image preprocessing, segmentation and classification will be developed. The use of artificial intelligence and machine learning methods for tissue differentiation, standardization of diagnostics, etc. is assumed.

   Tutor: Mikulka Jan, doc. Ing., Ph.D.

9. Nonlinear differential equations in mathematical physics: qualitative and quantitative methods.

   This topic is concerned with the analysis of some classes of nonlinear differential (or partial differential) equations that arise in mathematical physics and engineering. We are interested in the existence of solutions, their qualitative/quantitative properties and related asymptotic estimates. Basic knowledge includes: functional analysis, as well as linear and nonlinear differential equations.

   Tutor: Radulescu Vicentiu, Ph.D.

10. Properties of the solution of differential equations and their systems

    Study the properties of solutions of differential equations, such as bounded solutions, stability, etc. The same thing with the systems of these equations. The emphasis will be on the application of theoretical results in technical practice.

    Tutor: Baštinec Jaromír, doc. RNDr., CSc.

11. Rational functions and solving of thequations

    Use of rational functions in solving equations

    Tutor: Svoboda Zdeněk, doc. RNDr., CSc.

1. round (applications submitted from 01.04.2023 to 30.04.2023)

1. Autonomous movement of unmanned systems without GPS

   Conduct research in the field of navigation of unmanned systems. Focus on the issue of UAV flight without satellite information. Study the possibilities of controlling UAVs using image data and possible fusion of data from other sensors. Propose methods for UAV movement without satellite data, optimize and evaluate the results obtained.

   Tutor: Marcoň Petr, doc. Ing., Ph.D.