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study programme
Faculty: FEECAbbreviation: DPAD-EITAcad. year: 2022/2023
Type of study programme: Doctoral
Study programme code: P0619D060001
Degree awarded: Ph.D.
Language of instruction: English
Accreditation: 8.10.2019 - 7.10.2029
Mode of study
Full-time study
Standard study length
4 years
Programme supervisor
doc. Ing. Jiří Hošek, Ph.D.
Doctoral Board
Chairman :doc. Ing. Jiří Hošek, Ph.D.Councillor internal :prof. Ing. Jaroslav Koton, Ph.D.prof. Ing. Zdeněk Smékal, CSc.prof. Ing. Jiří Mišurec, CSc.doc. Ing. Vladislav Škorpil, CSc.doc. Ing. Radim Burget, Ph.D.Councillor external :prof. Ing. Ivan Baroňák, Ph.D.doc. Ing. Miloš Orgoň, Ph.D.doc. Ing. Otto Dostál, CSc.
Fields of education
Study aims
The student is fostered to use the theoretical knowledge and experience gained through own research activities in an innovative manner. He/She 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.
Graduate profile
The doctor study program "Electronics and Information Technologies" 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.
Profession characteristics
Graduates of theprogram "Electronics and Information Technologies" 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.
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 mainly 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 the full-time students submit the elaborated dissertation thesis to the supervisor, who scores this elaborate. The combined students submit the elaborated dissertation thesis by the end of winter term in the fifth year of study. The final dissertation thesis is expected to be submitted by the student by the end of the fourth or fifth year of the full-time or combined study form, respectively. 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
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.
The Internet is used for distribution of large amounts of data. Those are available via repositories, which are replicated and located in different geographical places. The goal of the study is to analyze the data distribution from the networking and distance points of view. The outcome is a system proposal for data distribution.
Tutor: Komosný Dan, prof. Ing., Ph.D.
The scenario considered in this PhD thesis is a network of agents that collaborate in order to track one or several moving targets in a distributed (decentralized) manner. Here, "distributed" means that there is no central unit collecting and processing all the measurements, and only agents that are spatially close are able to communicate. In many methods for distributed target tracking, statistical information is exchanged between the communicating agents, and the underlying probability distributions are sparse. The goal of this PhD thesis is to develop and study compressive and possibly other “sparsity-exploiting” methods for distributed target tracking with reduced communication requirements. (Collaboration partner: Prof. Franz Hlawatsch, TU Wien)
Tutor: Rajmic Pavel, prof. Mgr., Ph.D.
Fiber optic networks have evolved rapidly in recent years to meet the ever-increasing demand for increasing capacity. Today, optical fibers are widely used in all types of networks due to not only transmission speed or maximum achievable distance but also security. Although fiber optic networks are considered completely secure, there are ways to capture or copy part of the data signal. Both imperfections of passive optical components and, for example, monitoring outputs of active devices can be used. With the advent of quantum computers, current encryption could be broken. It is therefore necessary to address the security of fiber-optic networks, analyze security risks and propose appropriate countermeasures.
Tutor: Münster Petr, doc. Ing., Ph.D.
The study deals with forensic methods to obtain information from previous network communication, which is captured in the form of logs on the communication systems. Current methods will be tested in use-case studies. The goal is to propose methods for data collection, implement them, and verify their effectiveness. The topic can cover a combination of log files on different devices, including sensors.
The study deals with forensic methods to obtain information from mass storage media and volatile memory. Current methods will be tested in use-case studies. The goal is to propose methods for data collection, implement them, and verify their effectiveness. The topic covers various types of devices and operating systems.
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.
Photonic systems cover a wide range of areas from data transmission, through sensors to quantum networks. Each photonic system has its own requirements for the transmission infrastructure, but also for input and output parameters. Manual optimization of large networks based on different types of signals is almost impossible. With the help of machine learning, the optimization of both the transmitted signals and the entire infrastructure can be achieved in photonic networks. Last but not least, machine learning algorithms can be used to detect and classify non-standard network behavior to minimize security risks.
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.
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.
Optical transmission systems are evolving very rapidly to meet the ever-increasing demands of users. In addition to data transmissions, there are also new transmissions such as exact time, stable frequency, radio over fiber, quantum signals transmission, etc. Individual types of signals have different requirements for the transmission infrastructure. Wavelength division multiplexing is now widely used to increase the capacity of optical fibers but it is necessary to address the issue of possible interference. In order to meet the requirements of future transmission systems, it is necessary to address several technical challenges, such as new optical modulation formats with high spectral efficiency, mitigation of linear and nonlinear phenomena in optical fibers, or signal amplification with minimal noise.
Most of today's objective metrics of audio quality is focused on assessing quality after signal compression. However, in practice we need to estimate the quality of signals degraded also by other means (clipping, distortion, drop-outs etc.). The student would concentrate on a modification of the established metrics like PEAQ, PEMO-Q or VisQOLAudio for these non-linear degradations. Deep learning wil be involved. Co-advised by: Jiří Schimmel (FEEC), cooperation with dr. František Rund (ČVUT Prague).
The thesis deals with modeling and control of real processes using fractional calculus. The research will be focused on new approximation methods of storage elements of arbitrary fractional-order. The thesis aims to propose several original solutions of capacitor and inductor emulators of arbitrary fractional-order, especially for parameter optimization and implementation of proportional-integral/proportional-derivative/proportional-integral-derivative (PI/PD/PID) controllers with potential for use in industry. Selected new circuit solutions for emulators of storage elements of arbitrary fractional-order and analog PID controllers will undergo on-chip fabrication. The quality of controllers will be evaluated in particular based on robustness and stability in the Matlab/Simulink simulation environment or experimental measurements.
Real-time systems continuously evaluate the input parameters and respond within a specified time to an input event. Research in this area is focused on assuring the timed responses when the hardware used is considered. The goal is to analyze the requirements on these systems and propose means to guarantee the time constraints in the intended application area.
The doctoral study will cope with modern methods of audio restoration. The need to complete the missing segment of an audio signal or to restore saturated signal samples are interesting tasks with the practical use (historical recordings, dropouts in VoIP calls, etc.). Current methods are capable of high quality interpolation of signals that are stationary in the vicinity of the missing section and have harmonic character. The study will focus on methods that combine approaches that have been successful in recent years, namely mathematical optimization methods and the deep neural networks (DNNs). Psychoacoustic viewpoint of the problem will be covered as well. (Collaboration with the Acoustics Research Institute, Vienna)
Methods based on spectrogram decompositions are among the best methods for audio reconstruction (declipping, concealing of missing samples, denoiding, source separation etc.). The traditional approach is to use the non-negative matrix factorization (NMF), which is suitable for its application to audio spectrograms. The study would be focused on modifications of the NMF approach, with a possibility to reformulate it as a deep neural network that could be trained to solve different reconstruction problems.
The non-Cartesian acquisition methods attract attention because of a variety of unique properties which can be exploited for different applications such as: acquisition acceleration, insensitivity to motion and the possibility to image tissues with very short T2s (e.g. cortical bones, tendons, ligaments, menisci and myelin). The objectives of the PhD study are to: a) develop an efficient volume reconstruction method from UTE data for quantitative analyses of ultrashort T2 components, based on nonconvex optimization, b) explore the limits of the spatial resolution when reducing the number of UTE projections for acceleration, c) apply and perform quantitative in vivo MR data analyses. Collaboration with CEITEC MU center, processing of data from the experimental MR scanner, supervisor specialist Ing. Peter Latta, CSc. Potential financial support from CEITEC.
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.
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.
The thesis is focused on research of novel concepts of arbitrary fractional-order high-frequency frequency-agile linear systems using non-conventional analog functions blocks. Frequency-agile filtering systems are special types of reconfigurable analog filters that have a property for agility. This work aims to develop both non-symmetrical and symmetrical class 1 to class n frequency-agile filters. Computer simulations will prove the workability of proposed circuits. Selected novel structures will undergo on-chip fabrication and be experimentally tested.
The topic aims at the research into design methods of resistive-capacitive elements with distributed parameters (RC-EDP) and their utilization in electrical circuits. The main part of the study will be developing a complex methodology for implementation of impedance function of fractional, i.e. non-integer, order by means of RC-EDP. Design methods for obtaining RC-EDP parameters will be developed depending on the required impedance function, RC-EDP type, and fabrication technology. For this purpose, a symbolic impedance description of RC-EDP, numerical optimization methods and characteristic properties of fabrication technologies will be used. The specifics of individual technologies will be compared with each other and the procedure of preparation of production documents will be elaborated for selected technologies. The topic also includes the design and verification of RC-EDP applications in electronic circuits, especially realizing circuit functions of fractional order.
Tutor: Kubánek David, doc. Ing., Ph.D.
Development of operating systems reflects changes in the area of cybersecurity. The topic deals with the analysis of operating systems from the security point of view, for example, based on a study of previous attacks. The goal is to propose a modification of the system services in relation to the intended application.
This topic is focused on design of two-ports, filtering circuits especially and oscillators for instance, with possibility to externally and electronically change significant parameters of the circuit and in the case of filter also change of type of frequency response. Design with fractional-order element sis also expected. Available active elements are supposed to be used as it is or in modified variants. Simulations not only with simple models but also with transistor-level structures are expected. When verified by experimental measurement, behavioural modelling is preferred.
We are facing large growth in IoT networks and data traffic. New service requirements become also more and more demanding: Higher data volumes, ultra-low latency, massive connectivity, higher reliability and lower power consumption. To meet these requirements and dynamicity of the network, next generation wireless networks push forward towards radically new approaches. Machine Learning techniques can help future networks to meet these requirements and dynamicity of the network. They have the potential to handle giant amount of information to outperform current application scenarios and deliver novel ones. The Ph.D. topic will aim at researching the path towards relevant Wireless AI by successfully integrating software-based solutions and hardware-oriented proof-of-concepts. In detail, doctoral student should focus on the emerging technology components like resource optimization in Radio Access Network (scheduling), intelligent traffic management mechanisms or learning at the edge of wireless networks.
Tutor: Hošek Jiří, doc. Ing., Ph.D.
The Telecommunications Industry is rapidly migrating mobile networks to the 5G standard. At the same time, the IT Industry is moving applications out of local compute and storage nodes into the cloud, including Telecommunications company network management departments. As Telecom network management applications are moved to the cloud, there are concerns about the performance and scale of “As a Service” platforms performing network management functions. One specific area of concern is the ingestion of the massive amount of network data associated with modern 5G mobile networks. This thesis will focus on architectures and approaches to solving real-world performance and scale issues associated with 5G network data ingestion into “As a Service” platforms for Tier 1 Telecommunications service providers.