Full-time study

4 years

prof. Ing. Zdeněk Smékal, CSc.

Chairman :
prof. Ing. Zdeněk Smékal, CSc.
Councillor internal :
doc. Ing. Radim Burget, Ph.D.
prof. Ing. Jiří Mišurec, CSc.
doc. Ing. Vladislav Škorpil, CSc.
doc. Ing. Jiří Hošek, Ph.D.
prof. Ing. Jaroslav Koton, Ph.D.
Councillor external :
doc. Ing. Otto Dostál, CSc.
prof. Ing. Boris Šimák, CSc.
prof. Ing. Ivan Baroňák, Ph.D.

The student is fostered to use the theoretical knowledge and experience gained through own research activities in an innovative manner. He is able to efficiently use the gathered knowledge for the design of own and prospective solutions within their further experimental development and applied research. The emphasis is put on gaining both theoretical and practical skill, ability of self-decisions, definition of research and development hypotheses to propose projects spanning from basic to applied research, ability to evaluation of the results and their dissemination as research papers and presentation in front of the research community.

The doctor study program "Teleinformatics" aims to generate top research and development specialists, who have deep knowledge of principles and techniques used in communication and data wired and wireless networks and also in related areas and also in data/signal acquisition, processing and the back representation of user data on the level of application layer. The main parts of the studies are represented by areas dealing with information theory and communication techniques. The graduate has deep knowledge in communication and information technologies, data transfer and their security. The graduate is skilled in operation systems, computer languages and database systems, their usage and also design of suitable software and user applications. The graduate is able to propose new technology solution of communication tools and information systems for advanced transfer of information.

Graduates of theprogram "Teleinformatics" apply in particular in research, development and design teams, in the field of professional activity in production or business organizations, in the academic sphere and in other institutions involved in science, research, development and innovation, in all areas of the company where communication systems and information transfer through data networks are being applied and used.
Our graduates are particularly experienced in the analysis, design, creation or management of complex systems aimed for data transfer and processing, as well as in the programming, integration, support, maintenance or sale of these systems.

Doctoral studies are carried out according to the individual study plan, which will prepare the doctoral student 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 BUT Study and Examination Rules, which the doctoral student must fulfill to successfully finish his studies. These responsibilities are time-bound throughout the study period, they are scored and fixed at fixed deadlines. The student enrolls and performs tests of compulsory courses, at least two obligatory elective subjects with regard to the focus of his dissertation, and at least two elective courses (English for PhD students, Solutions for Innovative Entries, Scientific Publishing from A to Z).
The student may enroll for the state doctoral exam only after all the tests prescribed by his / her individual study plan have been completed. Before the state doctoral exam, the student prepares a dissertation thesis describing in detail the goals of the thesis, a thorough evaluation of the state of knowledge in the area of ​​the dissertation solved, or the characteristics of the methods it intends to apply in the solution. The defense of the controversy that is opposed 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 microelectronics, electrotechnology, materials physics, nanotechnology, electrical engineering, electronics, circuit theory. The State Doctoral Examination is in oral form and, in addition to the discussion on the dissertation thesis, it also consists of thematic areas related to compulsory and compulsory elective subjects.
To defend the dissertation, the student reports after the state doctoral examination and after fulfilling conditions for termination, such as participation in teaching, scientific and professional activity (creative activity) and at least a monthly study or work placement 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 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. AI-Aided Wireless Communication in Emerging Aerial Applications

   The rapid advancement of the next-generation wireless communication technologies and artificial intelligence (AI) has led to the development of new techniques for improving communication in high mobility applications, including mmWave communications and unmanned aerial vehicle (UAV) applications. This doctoral topic deals first with an overview of the state-of-the-art AI-aided wireless communication technologies in different aerial applications, highlighting their capabilities and limitations. Later, the research should focus on the challenges associated with ultra-reliable low latency communications (URLLC) in 5G+ wireless systems. The key goal of this topic is a design of novel AI-aided technique than will help in overcoming current challenges and issues related to the deployment of 5G+ mobile networks. Moreover, the thesis should also explore the potential benefits of AI-aided wireless communication technologies in mmWave networks, including improved performance, reliability, and energy efficiency.

   Tutor: Hošek Jiří, doc. Ing., Ph.D.

2. Analog circuits containing elements with the fractional order

   The thesis is focused on modeling, simulations and experimental verification of structures where relation between response and driving signal contains derivation or integration of non-integer order (so-called fractional structures or circuits). The task is also to design of suitable application possibilities of fractional order circuits, e.g. frequency filters, reconfigurable filters, tunable oscillators or other circuits. Attention should be kept also on other ways how to implement fractional order circuits, e.g. implementation of structures with distributed parameters (RC-EDP), on computer modelling of matter and structures from nature and biology and also on mathematical description.

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

3. Content Delivery Networks

   Content Delivery Networks (CDN) are used to provide fast delivery of data. The data are replicated and located at different geographical places. The goal of the study is to optimize data replication based on selected criteria, such as to reduce the time to access the data and balance the load of the servers.

   Tutor: Komosný Dan, prof. Ing., Ph.D.

4. Definition and research of new transfer function forms

   Accepting non-integer (or fractional) order transfer functions introduced an additional degree of freedom compared to integer order systems. On a set of non-integer transfer functions, it has been shown that the definition of its specific form and the powers of the individual terms brings an additional, hitherto unexpected, degree of freedom. In this way, it is possible to design function blocks that satisfy multiple parameters simultaneously. Research on the specific forms of non-integer order transfer functions is now very limited. Therefore, this study topic is devoted to the definition and research of new transfer function forms that appropriately exploit the presence of non-integer powers and allow to control multiple function block parameters in both frequency and time domains, such as module, phase, group delay, rise time, overshoot, settling time and their combinations. During the studies, the PhD student will undertake internships at attractive partner universities abroad. Involvement in research projects carried out at the Dept. of Telecommunications is also offered. Contat the supervisor for more information about the topic

   Tutor: Koton Jaroslav, prof. Ing., Ph.D.

5. Digital data forensics

   The study deals with forensic methods to obtain digital evidence from mass storage devices and volatile memory. The goal is to optimize searching for evidence including the links between them. An example is searching for links between the system journal entries on more devices. The student can deal with various types of devices and operating systems.

   Tutor: Komosný Dan, prof. Ing., Ph.D.

6. Improving the perceptual quality of compressed audio signals using deep neural networks

   Athough a great attention is paid to audio coding, coders with a low bit budget still produce perceptually unpleasant results. The study would be focused on the design of an generative adversarial deep neural network (GAN) which would improve the perceptual quality of the compressed files. The network's input would therefore be the compressed signal, and its output would be the perceptually improved version.

   Tutor: Rajmic Pavel, prof. Mgr., Ph.D.

7. Methods for measurement of basic and derived parameters of data networks

   Goal of this thesis is to research in area of measurement of basic parameters of data networks based mostly on Internet Protocol (IP), such as throughput, one-way delay and round-trip time, so as in area of derived parameters, such as quality of voice and video services. This comes with problematics of modelling of behaviour of network and user under various conditions, long-term and short-term events, a description of mass-serving systems and also features and behaviour key internet and measuring protocols in computer networks, so as topic of their possible setting and security. Based on analysis of available tools and their features, or development of own tools, design of solution and approaches for various types of measurements is expected. Designed methodology should be verified both in environment of lab and real-world networks.

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

8. Methods for Optimization of Ultra-Wideband Analog Integrated Systems-on-Chip Using Parasitic Effects of Transistors

   The thesis focuses on designing optimization methods of MOS-only analog ultra-wideband analog integrated systems-on-chip of arbitrary integer and fractional order. The aim is to research and develop low-voltage and low-power applications by practical usage of transistor parasitics that work in frequency range units of GHz. Selected novel implementations of true-time delay circuits, oscillators, second- or higher-order filters, emulators of synthetic inductors, etc., with potential applications in 6G communication systems will undergo on-chip fabrication and experimental verification.

   Tutor: Herencsár Norbert, doc. Ing., Ph.D.

9. Modeling Directional XR Communications in Higher Frequency Bands

   Wireless data transmission using higher frequency bands in the order of GHz or even THz is one of the cornerstones of modern mobile networks to meet the ever-increasing demands for overall capacity and scalability of cellular systems. However, the propagation of a radio signal in those frequency bands entails a number of new technological requirements and challenges that need to be addressed for successful deployment in real-world scenarios. The aim of this doctoral thesis is a detailed analysis of key requirements of evolving applications such as extended reality (XR) and the subsequent design of a propagation model considering transmissions in 3D space and other specifics of the radio channel in the above-6 GHz frequency bands. The proposed model will be verified by simulations and / or experimental measurements.

   Tutor: Hošek Jiří, doc. Ing., Ph.D.

10. Research of Analog Active Function Blocks for Biosensors

    The dissertation focuses on researching novel structures of non-conventional analog active function blocks such as current or voltage conveyors using a chemical description of their terminal variables. The research aims to develop novel structures of chemical conveyors of different generations and their utilization in measurement systems for sensing fundamental quantities in biomedical systems. Selected systems will undergo on-chip fabrication and experimental verification.

    Tutor: Herencsár Norbert, doc. Ing., Ph.D.

11. Research of Fractional-Order Element Emulators for Reliable Modeling of Real-World Systems

    The thesis is focused on the research of analog emulators of fractional-order elements (FOEs) with an order of (-1; +1). The aim is the development of reliable low-voltage and low-power MOS transistor-based emulators of capacitors and inductors by practical usage of influences of transistor parasitics. Selected novel implementations of FOEs will be used to model different varieties and types of agricultural products and biomedical tissues (fruit/vegetable aging, ear channel/lung/liver modeling of humans and animals, etc.) based on real measured data collected via electrical impedance spectroscopy measurement technique.

    Tutor: Herencsár Norbert, doc. Ing., Ph.D.

12. Spatial Audio Signal Processing Using Small-Size Microphone Arrays

    Microphone arrays of small dimensions, mainly fitted with MEMS microphones, are currently used in a number of applications, such as voice assistants, robots or monitoring in sensor networks, especially for their ability of spatial filtering of the sound signal from background noise. However, they also have potential in multimedia applications including augmented and virtual reality. The problem, however, is the limitation of their dimensions with respect to the spatial filtering capability at low sampling frequencies. The aim of this dissertation is to use new methods of spatial filtering of sound signal picked up by a field of microphones in order to further reduce the dimensions of the field and increase the resolution and accuracy of filtering. The dissertation will focus not only on the research for suitable algorithms of signal processing, but also on its mechanical design enabling the adjustment of acoustic properties of microphones, especially the shaping of directional characteristics. The research will be carried out in cooperation with the Faculty of Transportation Sciences of the Czech Technical University and the Université du Maine Le Mans.

    Tutor: Schimmel Jiří, doc. Ing., Ph.D.

13. Using Machine Learning for Modelling of Audio Systems

    Neural networks and machine learning are currently used in the area of audio signal processing for data mining, e.g. recognition of genre, music information retrieval from recordings, etc., and speech processing, such as word recognition, speaker identification, emotion recognition, etc. However, their potential use is also in modelling of audio systems. The aim of dissertation thesis is to find algorithms for optimization of parameters of digital musical effects, algorithms for room acoustic simulation and more using machine learning and hearing models for training of neural networks. The research will focus on the static optimization of the system parameters according to the original analog system and on the dynamic change of the parameters in real time on the basis of the properties of the processed audio signal. Research will be conducted in collaboration with companies dealing with the development of software for processing audio signals.

    Tutor: Schimmel Jiří, doc. Ing., Ph.D.