Theoretical Electrical Engineering
Faculty: FEECAbbreviation: DKA-TEEAcad. year: 2022/2023
Type of study programme: Doctoral
Study programme code: P0714D060006
Degree awarded: Ph.D.
Language of instruction: English
Tuition Fees: 2500 EUR/academic year for EU students, 2500 EUR/academic year for non-EU students
Accreditation: 28.5.2019 - 27.5.2029
Mode of study
Standard study length
Fields of education
|Electrical Engineering||Without thematic area||100|
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.
Study plan creation
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.
Issued topics of Doctoral Study Program
- Advanced analysis of pathological brain tissue from MRI data
The aim of the work is research in the field of classification of biological tissues occurring in the brain and advanced analysis of biomedical images obtained from pathological tissue in the brain.
- Aggregation operators in fuzzy logic
Fuzzy logic is a form f many-valued logic or probabilistic logic. It has been applied to many fields, from control theory to artificial inteligence. The topic of the thesis is tu study new constructions and properties of fuzzy logic connectives via aggregation operators.
- 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.
- Analysis of image reconstruction methods in EIT
The aim of this work is the analysis of mathematical models for image reconstruction obtained by the electrical impedance tomography from the viewpoint of applicability to individual engineering fields (chemical industry, geology, material engineering and diagnostics, etc.). The output of the work will be a theoretical analysis and optimization of limiting factors of methods in solving selected technical tasks including evaluation of measurement uncertainties (specific conductivity and position of inhomogeneities), computational demands, etc. Specifically, the work will focus on a) optimization of mathematical model parameters with respect to the actual parameters of the physical model, b) regularization methods, c) image processing methods (segmentation of inhomogeneity), d) adaptive meshing methods according to the ongoing results of reconstruction.
- Controllability problems for discrete equations with 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 paper 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) 2158 - 2165, 2019. During study a visit to Bialystok University, Poland, where similar problems are studied, is planned.
- Image modeling and reconstruction in EIT using tools of artificial intelligence and machine learning
The aim of the dissertation is to create a model for image reconstruction in electrical impedance tomography using machine learning and artificial intelligence. The output of the thesis will be a functional system including a sufficient set of synthetic and real data for learning the proposed models to identify electrical impedance inhomogeneities within an unknown environment. It is also envisaged to create a laboratory tomograph model to obtain real data to reconstruct the specific conductance and possibly optimize the proposed methods for follow-up applied research conducted at DTEEE.
- Multispectral electrical impedance tomography
The aim of the dissertation is to increase the scientific knowledge in the field of non-destructive analysis of the internal structure of the material with regard to the optimization of methods for solving the inverse problem of reconstruction of electrical quantities, the use of multispectral noise and impulse analysis of the environment under investigation, elements of artificial intelligence and machine learning. The design of the methods will be carried out with respect to specific practical applications, e.g. soil investigation, condition of building structures, etc. The research activity will include modelling of the environment and the measurement system by 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 analysed environment.
- Numerical solution methods of integer and fractional control systems
The aim of the dissertation thesis is modification of a numerical semi-analytical method based on Adomian decomposition method and integral transformations to solving initial value problems for integer and fractional control systems in the sense of Caputo fractional derivative. Convergence analysis of the proposed method will be investigated as well.
- Research of properties and applications of noise electromagnetic fields
Measuring and diagnostic methods based on the interaction of radiated electromagnetic (EM) field with test objects are currently mature and widely used technology. However, the vast majority of systems based on such approach use the concept of generating and evaluating EM fields with certain defined or swept frequency. In this case, it is necessary to take into account the possibility of reactive coupling of the measured object and the measuring device in the near field, which can detriorate the measurement. Conversely, if broadband stochastic signals (noise signals) were used for diagnostics, these problematic coupling could be suppressed. The topic of the study is focused on the research of the use of the concept of diagnostic of materials and electromagnetic structures by the noise field, especially in radiofrequency and microwave domain, its development and experimental verification.
- Spatial Analysis of the Force Load on a Deformed Developing Spine, and Corrective Force Modelling Applied to Minimize the Scope of a Scoliosis Surgery
Spinal deformity in children (scoliosis) is a condition whose progression cannot be predicted. The results obtained via conservative therapy are problematic, and a certain degree of curvature requires surgical treatment, including the risk of repeated surgeries and complications. The presently used system of growing rods affects, on the average, 9 spinal segments; these become immobile and influence the excessive stress upon the free segments under fusion, resulting in earlier degenerative changes, back pain at a mature age, restrained bodily activity, and damage to the locomotor system. The project is conceived to propose a novel methodology for minimizing the spurious impacts of the surgical treatment of progressive spinal deformity upon child patients, with 3D modeling to define the mechanical stress distribution within the simulation of the planned intervention. The set of patients to be recruited includes individuals with idiopathic, symptomatologic, and congenital scoliosis progressing despite conservative therapy; all these subjects would otherwise undergo spinal surgery. The project aims to design a surgical solution to correct idiopathic, symptomatologic, and congenital spinal deformities by the osteotomy of 1 vertebra. It will exploit 3D modeling to define the stress on the spine, estimation of the spine development and intervertebral discs regeneration by MRI. The project will be carried out in collaboration with University Hospital in Brno Bohunice.
- Stochastic differential equations in electrical engineering
By adding some randomness to the coefficients of an ordinary differential equation we get stochastic differential equations. As an example of that is the equation, that describes the current in an RL circuit with stochastic source. Then the solution of the equation is a random process. The subject involves creating stochastic models, numerical solutions of stochastic differential equations and examinations of the statistical estimates of the solutions.
- The Theory of Nonlinear Acoustics in Relation to Inhomogeneous Locally Periodic Structures
Nonlinear acoustics is a comparatively modern research discipline, whose primary focus lies within the propagation of acoustic waves in a nonlinear environment, modelling of the parametric acoustic field, and applications stemming from these areas. In this branch of science, major problems currently awaiting effective solution include, above all, the analytical description and numerical modelling of a non-linear environment. These two subdomains are complemented with another task element, namely the design of inhomogeneous, locally periodic structures, which enable us to target acoustic waves into a beam and to create nonlinear components, such as acoustic diodes. Further, the discussed research discipline may comprise a number of potential application subregions, for example, contactless material testing. Within the doctoral thesis, the student will characterize and analyze amplitude modulated acoustic waves of final amplitudes, and they will also provide an analysis of parametrically excited acoustic fields. In the wider context, one of the central aims of the thesis is to employ inhomogeneous periodic structures, methods for input signal processing, and carrier wave modulation to deepen the present knowledge of nonlinear acoustic interactions in liquids.
1. round (applications submitted from 01.04.2022 to 15.05.2022)
- General solutions to weakly delayed linear differential systems
The aim will be to derive explicit formulas for general solutions to weakly delayed linear differential systems, to show if its reduction to linear systems of ordinary differential equations is possible, and prove results on conditional stability. To derive results, various mathematical tools will be used, one of them is the Laplace transform. Starting literature – the paper by D. Ya. Khusainov, D. B. Benditkis and J. Diblik, Weak delay in systems with an aftereffect, Functional Differential Equations, 9, 2002, No 3-4, 385-404 and recently published results. During study a visit to Bialystok University, Poland, where similar problems are studied, is planned.
- Solutions to weakly delayed linear difference systems in the case of zero eigenvalues
The aim will be to derive explicit formulas for general solutions to weakly delayed linear differential systems in the case of presence of zero eigenvalues of the matrix of linear nondelayed term and its utilization to characterize properties of solutions. To derive results, various mathematical tools will be used, one of them is the Laplace transform. Starting literature – the paper by D. Ya. Khusainov, D. B. Benditkis and J. Diblik, Weak delay in systems with an aftereffect, Functional Differential Equations, 9, 2002, No 3-4, 385-404 and J. Diblík, H. Halfarová, J. Šafařík, Formulas for the general solution of weakly delayed planar linear discrete systems with constant coefficients and their analysis, Applied Mathematics and Computation 358 (2019), 363-381. During study a visit to Bialystok University, Poland, where similar problems are studied, is planned.
Course structure diagram with ECTS credits
|DKA-ET1||Electrotechnical Materials, Material Systems and Production Processes||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-FY1||Junctions and Nanostructures||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-EE1||Mathematical Modelling of Electrical Power Systems||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-RE1||Modern Electronic Circuit Design||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-ME1||Modern Microelectronic Systems||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-TK1||Optimization Methods and Queuing Theory||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-AM1||Selected Chaps From Automatic Control||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-VE1||Selected Problems From Power Electronics and Electrical Drives||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-TE1||Special Measurement Methods||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-MA1||Statistics, Stochastic Processes, Operations Research||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKX-JA6||English for post-graduates||en||4||Elective||DrEx||Cj - 26||yes|
|DKA-EIZ||Scientific Publishing A to Z||en||2||Elective||DrEx||K - 26||yes|
|DKA-RIZ||Solving of Innovative Tasks||en||2||Elective||DrEx||K - 39||yes|
|DKA-TE2||Numerical Computations with Partial Differential Equations||en||4||Compulsory||DrEx||K - 39||yes|
|DKA-TK2||Applied Cryptography||en||4||Compulsory-optional||DrEx||K - 39||no|
|DKA-MA2||Discrete Processes in Electrical Engineering||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-ME2||Microelectronic Technologies||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-RE2||Modern Digital Wireless Communication||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-EE2||New Trends and Technologies in Power System Generation||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-ET2||Selected Diagnostic Methods, Reliability and Quality||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-AM2||Selected Chaps From Measuring Techniques||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-FY2||Spectroscopic Methods for Non-Destructive Diagnostics||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKA-VE2||Topical Issues of Electrical Machines and Apparatus||en||4||Compulsory-optional||DrEx||K - 39||yes|
|DKX-JA6||English for post-graduates||en||4||Elective||DrEx||Cj - 26||yes|
|DKA-CVP||Quotations in a Research Work||en||2||Elective||DrEx||K - 26||yes|
|DKA-RIZ||Solving of Innovative Tasks||en||2||Elective||DrEx||K - 39||yes|
|DKX-QJA||English for the state doctoral exam||en||4||Elective||DrEx||K - 3||yes|