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study programme
Original title in Czech: TeleinformatikaFaculty: FEECAbbreviation: DPC-TLIAcad. year: 2020/2021
Type of study programme: Doctoral
Study programme code: P0714D060011
Degree awarded: Ph.D.
Language of instruction: Czech
Accreditation: 28.5.2019 - 27.5.2029
Mode of study
Full-time study
Standard study length
4 years
Programme supervisor
prof. Ing. Zdeněk Smékal, CSc.
Doctoral Board
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.
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 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 "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.
Profession characteristics
Graduates of the program "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.
Fulfilment criteria
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 .
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 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
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 topic is focused on PLC/BPL data communication analysis for control and supervision in power networks. The aim will be design of methods for optimization for data networks with PLC/BPL technologies and design of methods for monitoring and evaluating the performance and reliability of PLC/BPL. Furthermore, a critical evaluation of the measured PLC / BPL parameters will be required to ensure high reliability.
Tutor: Mlýnek Petr, doc. Ing., Ph.D.
The theme is focused on advanced analysis of both static and dynamic image content captured by drones. The aim is to research possibilities of specific regions of interest extraction, autonomous target searching and drone guidance for specific tasks such as terrain mapping, systematic object search etc.
Tutor: Říha Kamil, doc. Ing., Ph.D.
Music analysis using digital signal processing offers many possibilities of listening, visualizing and creating music. It also enables a comprehensive analysis of the differences in the interpretations and parameters of the compositions that make up any musical work. Understanding and detailed structural analysis is primarily a task for musicologists – experts who, by identifying significant elements of recordings, can draw different cultural, musical and sociological consequences. The analysed attributes include, for example, musical structure (musical motifs, sections, repeats), melodic lines, harmonic and percussive separation, chord composition, rhythm, metre, or synchronization of various interpretations. Calculation of such parameters from recordings by digital signal processing is then used in various software often in the form of additional modules or plugins. This thesis aims to create a system for musicological research based on automatic analysis of music signals.
Tutor: Smékal Zdeněk, prof. Ing., CSc.
When identifying offenders, the quality of the recording is often significantly affected by poor lighting conditions, low face resolution, masking part of the face or image artifacts caused by a high degree of image compression. Video recordings are often the only source of data that can be used as an evidence. The face identification is dealt with by the Criminalistics Institute in Prague, Audiovisual Department. The human eye and brain can recognize a person's face better from a sequence of images (i.e. video) than from a single still image. The objective of the research is to design methods based on artificial intelligence that will use sequence of face images and reconstruct the resulting face as a still image in better quality.
Tutor: Burget Radim, doc. Ing., Ph.D.
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)
Tutor: Rajmic Pavel, prof. Mgr., Ph.D.
Automatic Music Transcription (AMT) is a branch of the Music Information Retrieval (MIR) discipline that combines the creation of logical music structures, perception (music analysis), recognition of musical objects and digital signal processing. AMT focuses on the development of algorithms that change the representation of a music signal (in the form of digital recordings) into a form of symbolic notation (score) and includes several other specific algorithms such as multi-pitch estimation, or rhythm and beat detection. Recently, however, the implementation of artificial neural networks and machine learning methods has prevailed. The use of these methods is tied to many tools – from notation systems, music studios to analytical software for musicological research. This thesis aims to create a system and improve the current methods of automatic music transcription to symbolic notation.
The aim of the work is to design the optimal strategy for Smart Grids communication infrastructure based on analysis of suitable communication technology and in the process of deployment of IoT in Smart Cities and smart meters rollouts in Smart Grids. The perspective technologies will be evaluated via simulation in terms of data flows. The main objective will be to create a model of building communication networks and finding the optimal variant for the particular scenarios in the energy sector and IoT.
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)
Converged networks with limited bandwidth require a research of alternatives of increasing their throughput. It is about solving the problems connected with broadband data transmission, which is in its part limited by a narrower bandwidth, the so-called bottleneck problem. Come up with solution possibilities and subsequently design, model and implement a new system on the NetCOPE platform. Consider solutions based on QoS, solutions based on compression algorithms, and their combinations. Knowledge in the area of IP networks, modelling in Matlab and Simulink, and programming in languages VHDL or Verilog are supposed. You are supposed to compare your system with existing ones and to specify its advantages.
Tutor: Škorpil Vladislav, doc. Ing., CSc.
The work is focused on the design of A/D and D/A converters working in the current mode. The aim is to design a suitable structure of number-current and current-number converters without internal current-voltage and voltage-current conversions with respect to enhancing the bandwidth in comparison with converters working in the voltage mode. Part of the work is also the design and analysis of current-mode antialiasing filters. The design will start from unconventional circuit element structures such as current conveyors (CCI, CCII, CCIII) with simple or floating output, current feedback amplifiers (CFA) or transconductance amplifiers (OTA, BOTA, DBTA). Requirements to be met by the candidate: the knowledge of circuit theory and simulation programs (MicroCap, PSpice).
Tutor: Lattenberg Ivo, doc. Ing., Ph.D.
The topic is focused on research of side channel attacks. These attacks target the implementation of secure cryptographic algorithms that are currently applied. The main goal is to research and design countermeasures methods that can be used to eliminate these types of attacks. We assume research on modern methods of hiding and masking. The participation on Department’s research projects is expected.
Tutor: Martinásek Zdeněk, doc. Ing., Ph.D.
Bayesian multi-sensor data fusion is concerned with the combination of statistical information from several sensors to improve statistical inference. An example is the fusion of multiple sensing modalities (such as LIDAR and cameras) in autonomous vehicles. In this thesis, the focus is on distributed fusion methods, where no central entity performing the data fusion exists and sensors can only communicate with other sensors that are within a certain distance. Although several approaches to distributed sensor fusion have been proposed, no unified framework exists that addresses issues such as rumor propagation (double counting of information), spurious data, and out-of-sequence data in dense sensor networks. The goal of this PhD thesis is to develop and study efficient and robust sensor fusion methods that address these issues. (Collaboration partner: Prof. Franz Hlawatsch, TU Wien)
The aim is to design a method and develop algorithms to analyze data in xPON (Passive Optical Network) networks using artificial intelligence. This is an analysis of data between the Optical Line Terminal (OLT) and the Optical Network Unit (ONU). A development platform equipped with the development network card and the GPON system will be provided.
Tutor: Oujezský Václav, doc. Ing., Ph.D.
The aim of the topic is to design methods of network traffic behavior analysis using artificial intelligence and data mining from information messages such as IPFIX (IP Flow Information Export) and NetFlow. A development platform and development polygon with network devices will be provided.
The sparse approximate representation of probability distributions is important in many applications of statistical signal processing and machine learning. One important application scenario is distributed detection or estimation in decentralized sensor networks, where probability distributions have to be communicated between physically remote units (e.g., vehicles or robots). This PhD thesis project focuses on the expansion of a probability density function into a dictionary of functions that is chosen in an adaptive manner (“dictionary learning”). The goal of the thesis is to develop and study optimal and/or suboptimal methods for dictionary learning that address a joint criterion of sparsity and accuracy. Of further interest is an extension of these methods to a sequential mode, which is needed for tracking applications. (Collaboration partner: Prof. Franz Hlawatsch, TU Wien)
Fixed channel spacing distribution between separately data streams proves to be an insufficient technique. With the development of software-defined networks, there is a new trend in the reallocation of the spectrum, elastic optical network (EON). These networks react flexibly to the line occupation and predictively define spectrum allocation. With spectrum reallocation, individual interfaces may be blocked due to routing and wavelength assignment (RWA) and routing and spectrum assignment (RSA) spectrum sharing from/to access networks. Elastic optical networks can transfer the quantum key over short distances.
Tutor: Horváth Tomáš, Ing., Ph.D.
The topic aims at the design and description of analog circuits – phantoms, by which the electrical impedance properties of samples of natural materials are emulated. These phantoms are based on the use of fractional calculus, while in their implementation are used mainly passive elements with fractional-order impedance (the so-called constant phase elements) and their suitable transformations and combinations. Impedance measurement methods for emulated materials will be investigated. Part of the work will also cover the design of documents for the production of phantom samples in selected technology.
Tutor: Kubánek David, doc. Ing., Ph.D.
This topic focuses on the synthesis and description of analogue circuits – phantoms that emulate and capture in time the electrical properties of systems/tissues being analyzes mainly using the impedance spectroscopy technique. The definition of these phantoms is based on using the fractional calculus, whereas for their realization mainly the passive fractional-order elements and their suitable combination and transformation, which represents an area not sufficiently investigated so far. The importance of such phantoms for the future research is the possibility of explicit comparison and suitability of measurement techniques used for material characterization.
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.
The work is focused on the feature analysis of current-mode electronic frequency filters. The aim is to design algoritmizable methods that lead to finding features of filters generally defined by the schematic. It will be necessary to evaluate the available feature ranges, e.g. quality, pass-band current transfer, dynamic range within a defined supply voltage, sensitivity, etc. In the case of finding the quality range, the point is to find the extremes of a multi-variable non-linear function. Mathematical tools (e.g. Maple or MathCAD) will first be used for this purpose; afterwards the algorithm itself will be designed. Requirements to be met by the candidate: algorithm thinking, the knowledge of computer programming and circuit theory.
The topic deals with the proposal and verification of electrical measurement methods suitable for direct and indirect parameter determination of non-integer (also referred to as fractional) order systems. This could be achieved e.g. by suitable input signal being applied to the function block containing the analyzed sample/tissue and further analysis of the time and/or frequency response. The electrical parameters and their relationship determined in this way define specific other physical or chemical properties of the analyzed systems. The proposed methods enable fast and efficient measurement of real properties of the analyzed systems and supplement the direct physical or chemical properties’ measurements methods, which however may be time consuming or even more expensive.
Tutor: Koton Jaroslav, prof. Ing., Ph.D.
The study deals with forensic techniques to obtain evidence from the storage media and from volatile memory. Current methods will be tested on use-case studies. The goal is to propose methods for the analysis, implement them, and independently verify their effectiveness.
Tutor: Komosný Dan, prof. Ing., Ph.D.
Optical transmission systems have evolved rapidly over the last decade to meet the ever-increasing demand for increased capacity. Wavelength multiplexing is now widely used to increase optical fiber capacity, and further capacity increase is achieved by increasing data transfer rate. In order to meet these requirements for future high-capacity transmission systems, several technical challenges need to be addressed, such as new optical modulation formats with high spectral efficiency, optimization of receivers capable of detecting new modulation formats, mitigation of linear and nonlinear phenomena in optical fibers, or amplification signal with minimal noise.
Tutor: Münster Petr, doc. Ing., Ph.D.
The topic is focused on the area of the security of modern network infrastructures and services. The goal is the design of effective methods for the protection and vulnerability testing of high-speed networks against flood attacks and ISO/OSI model application layer attacks. The topic is also focused on the effective implementation of security algorithms.
Tutor: Zeman Václav, doc. Ing., Ph.D.
The work will be focused on analysis of the current error control systems in wired and wireless transmission systems and design of alternative approaches using LDPC (Low-Density Parity-Check) codes. The goal will be mainly to utilize new codes and approaches. Today the CRC code and the RS-code with interleaving are often used. Based on this groundwork the new approaches to solving these systems will be introduced.
Tutor: Šilhavý Pavel, doc. Ing., Ph.D.
The topic deals with the issue of reliable information exchange between mobile nodes in FANET communication network. To ensure such feature, it is necessary to ensure sufficient knowledge of the communication node about its neighbors, i.e. other mobile nodes. The topic also deals with the orientation of the node, i.e. awareness of its position in user defined perimeter, where the node fulfills the given task. The results of the studies are new mechanisms ensuring efficient data exchange and also ability of reliable operation of the node, or a swarm of nodes, also under harsh conditions.
The aim of this work is to study mathematical models of data communication with respect of anomaly detection. The anomaly may be caused by either change in the data traffic structure or security incidents. The work should explore capabilities and suitability of various mathematical models for utilization in distinguished types of network utilization: internet connectivity for household, small or large enterprise, server farms, ISP, ...
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 is focused on design of optimization methods of MOS-only analog ultra-wideband analog integrated systems-on-chip of arbitrary integer and fractional order. The aim is research and development of low-voltage and low-power applications by advantageous usage of influences 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 5G communication systems will undergo on-chip fabrication and experimental verification. The research will be also conducted in cooperation with Prof. Khaled N. Salama from Sensors Lab, King Abdullah University of Science and Technology, KSA, with a paid internship option.
Tutor: Herencsár Norbert, doc. Ing., Ph.D.
The topic is focused on research and design of new methods that can be used during the security testing (penetration test). The research is focused on suitable methods for web applications penetration testing, network infrastructure penetration testing, but also for penetration testing of dedicated devices such as smart meters. The participation on Department’s research projects is expected.
The study topic is focused on research methods for measurement and evaluation data parameters of heterogeneous communication networks in terms of end-user access to the Internet and other services.
The goals of PhD. study are concepts, algorithms, and systems for modelling sound propagation in varying environment. The work will be focused on modelling the propagation of early reflections and perceptually-based statistical techniques that provide late reflections and subsequent reverberation with the moving sound source and/or listener.
Tutor: Balík Miroslav, Ing., Ph.D.
The main objectives of this doctoral topic are: Identification of most critical performance metrics of emerging industrial wearable applications (e.g. augmented reality); Research and advanced theoretical / simulation-based analysis of novel wireless communication technologies fulfilling the observed KPIs; Design of universal communication architecture suitable for emerging industrial wearable applications; Development of analytical model of the selected wireless technology to analyse its performance in various industrial scenarios (indoor vs. outdoor, low vs. high-densified deployment, etc.); Development of proof-of-concept demonstrator implementing the “winning” wireless technology in the selected industrial wearable application.
Tutor: Hošek Jiří, doc. Ing., Ph.D.
Multitone modulations are today frequently used modulation techniques, e.g. in ADSL, VDSL, G.fast, PLC, DVB-T, DVB-T2, WLAN IEEE 802.11a, g, n technologies. In all the above mentioned systems the known and well described modulation DMT (Discrete MultiTone) or OFDM (Orthogonal Frequency Division Multiplexing) is used. The work will be focused on possibilities of utilization of multicarrier modulations in optical transmission systems.
Multi object tracking from image signal is one of the tasks that is currently being solved by a number of scientific institutions all around the world. Recent methods are designed in most cases as suggestions for solving specific tasks in specific conditions (eg tracking vehicles in crossroads). The theme of the thesis is focused on research of methods for multiple object tracking for universal usege based on input parameters defining the properties of tracked objects.
Tutor: Přinosil Jiří, Ing., Ph.D.
Digital music signal processing and Music Information Retrieval (MIR) is a rapidly growing multidisciplinary scientific field. Separation of the music source is one of the unresolved and desired topics – the most promising results so far have been shown by techniques based on machine learning, and especially on artificial neural networks. Ideally, this system separates individual instruments from the final mixed music recording to create tracks that were separated before mixing and post-processing. The advantage is possible manipulation of recordings as if we had access to separate channels. The increasing accuracy of the methods enhances the possibility of use in automatic transcription of music recordings to musical notation, in analytical software, or the processing of sound recordings in recording studios. This thesis aims to create a system and improve the current methods for automatic separation of music sources.
Anomaly detection is a concept widely applied to numerous domains, such as financial fraud, cyber intrusion and many others. Within this topic, a doctoral student will focus on research and development of new principles and algorithms of anomaly detection using machine learning. The proposed principles will be applied mainly on the network traffic data with the goal to automatically identify anomalies in large datasets. Some of the fields, where the developed anomaly detection algorithms will be applied on, include network performance syslogs, network behaviour syslogs, and network security syslogs. As preferred research tools, student will primarily consider supervised and unsupervised machine learning concepts, as well as deep learning techniques. The developed algorithms will be verified through the numerical simulations as well as implementation in experimental networks.
The work focuses on the design, simulation and development of distributed and quasi-distributed fiber optic sensing systems. These systems use conventional single-mode telecommunication optical fibers, multimode fibers, polymer optical fibers (POF), microstructural fibers, multicore fibers, or other special fibers as a sensor. Using scattering phenomena (Raman, Brillouin, or Rayleigh scattering), or possibly changing the parameters of the transmitted optical signal (change in intensity, phase, polarization, etc.), it is possible to obtain information about temperature, vibration and other physical quantities along the optical fiber.
The study deals with systems that are required to response independently of the current state of operation. The goal is to distribute the system resources to particular tasks (applications) in order not to interfere with each other. Example application are medical systems.
The ongoing growth of telecommunications networks is currently made possible by optical fibers. Together with telecommunications systems, optical amplifiers have made it possible to transmit huge amounts of data from kilometers distances to transoceanic distances, providing the capacity needed for current and future communications networks. Optical amplifiers play an important role not only in optical telecommunications, but also in optical sensing and many other applications. Rare-doped amplifiers (eg Erbium-doped fiber amplifiers), Raman amplifiers, and semiconductor optical amplifiers (SOA) are common today. Special types of amplifiers such as parametric amplifiers offer many advantages, but they are complex and expensive. In addition to the amplifiers themselves, new types of optical fibers (eg multicore) and the possibilities of amplification in these fibers have to be considered.
The thesis deals with topics related to 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 aim of the thesis is also to propose a number of 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 on the basis of robustness and stability in the Matlab/Simulink simulation environment or experimental measurements. The research will be also conducted in cooperation with Prof. Khaled N. Salama from Sensors Lab, King Abdullah University of Science and Technology, KSA, with a paid internship option.
The subject of the doctoral thesis will be concepts, methods and procedures to optimize the design and construction of the speaker system according to the required parameters. The work will focus on optimized methods of loudspeaker baffle design from portable types for mobile devices to public address systems using single- and multi-chamber baffles, resonators or passive radiators.
Wireless sensor networks are primarily used to collect data. However, in some applications, it is also necessary to obtain the exact location of the wireless node. This issue is becoming very relevant in connection with the swarms of drones and their management. The aim of this work will be analysis and optimization of 3D localization algorithms and their subsequent implementation.
Modern computational systems (CPU, GPU, APU, and DSP) can make use of a number of parallel computation units. To begin with, it is necessary to make an analysis of the possibilities offered by the current standards for process parallelization that can be applied to the basic and advanced methods of digital signal processing. The aim of the dissertation is to propose algorithms for digital signal processing methods that will exploit the possibilities of parallel programming both in the course of simulation and in the final implementation for the target computational system.
The aim is research in the field of evolutionary algorithms parallelization. Parallelization is an integral part of an endeavour to increase effectiveness of evolutionary algorithms and their possible use. Research should build on current knowledge and carry out research on the impact of selected parameters and design details on the performance. Research should be concentrated on the island models of evolutionary algorithms. According to the chosen method the knowledge of some programming language is required, as well as scripting languages Python or Matlab. Selected development and testing environment is left on free choice. The result should be presented and results verified.
The topic is focused on research into and development of post-quantum schemes running on Internet of Things (IoT) devices. The novel schemes have to be computationally competitive with current traditional protocols. The participation on department’s research projects is expected.
Tutor: Ricci Sara, M.Sc., Ph.D.
The topic is focused on research into and development of privacy awareness solution. At first, the student will deal with privacy breaches such as profiling users. Then, the student will come up with a solution to make users be aware of how much information can be disclosed about them on the Internet, and therefore, improve them privacy. The participation on department’s research projects is expected.
The dissertation theses deals with investigation in data and privacy protection, whereas it will be discussed whether the standards from the DSGVO offer a measurable competitive advantage. The theses aims to make a significant contribution to the formation of opinion and offers a basis for theory development as up to now there have been hardly any scientifically processed or valid studies in this area.
Tutor: Malina Lukáš, doc. Ing., Ph.D.
Today's digital world is dependent on data security during communication but also in storage, for example in e-banking, e-commerce, e-health or e-government. With the advent of quantum computers, there is a risk of potential security breaches today. Quantum Key Distribution (QKD) provides a way to distribute and share secret keys that are necessary for cryptographic protocols. The information is coded into individual photons. Integrating QKD systems into existing network infrastructure used for telecommunications is a topical challenge. Some other major challenges include increasing of the key rate, increasing the range of the QKD system, or reducing the complexity and robustness of existing solutions.
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.
Lewy body diseases (LBDs), which is a group of neurodegenerative diseases including Parkinson’s disease and Lewy body dementia, are progressing slowly and are usually diagnosed too late, i.e. when the neurodegenerative process affected a significant amount of neurons. They are associated with several motor and non-motor features such as cognitive deficits, rapid eye movement sleep disorder, bradykinesia, rigidity, speech disorders, etc. The goal of this PhD thesis is to research multimodal LBDs analysis (i.e. mathematical modelling of data coming from magnetic resonance, neuropsychologic examination, actigraphy, polysomnography, etc.), with the aim to diagnose LBDs in their prodromal state. In cooperation with neurologists from St. Anne's University Hospital in Brno and Central European Institute of Technology, the gained knowledge will be integrated into systems based on Health 4.0 technologies.
Tutor: Mekyska Jiří, doc. Ing., Ph.D.
The dissertation is focused on research of novel structures of non-conventional analog active function blocks such as current or voltage conveyors using chemical description of their terminal variables. The aim of the research is to develop novel structures of chemical conveyors of different generations and their utilization in measurement systems for sensing basic quantities in biomedical systems. Selected systems will undergo on-chip fabrication and experimental verification. The research will be also conducted in cooperation with Prof. Khaled N. Salama from Sensors Lab, King Abdullah University of Science and Technology, KSA, with a paid internship option.
The thesis is focused on 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 advantageous usage of influences of transistor parasitics. Selected novel implementations of FOEs will be used for modeling of 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 research will be also conducted in cooperation with Prof. Khaled N. Salama from Sensors Lab, King Abdullah University of Science and Technology, KSA, with a paid internship option.
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 property for agility. The aim of this work is the development of both non-symmetrical and symmetrical class 1 to class n frequency-agile filters. The workability of proposed circuits will be proved by computer simulations. Selected novel structures will undergo on-chip fabrication and experimentally tested. The solution will be also conducted in cooperation with Prof. Khaled N. Salama from Sensors Lab, King Abdullah University of Science and Technology, KSA, with a paid internship option.
A combination of motor planning and execution, visual–perceptual abilities, orthographic coding, kinesthetic feedback, and visual–motor coordination is referred to as graphomotor skills. Children who are not able to adopt these skills and to automatize them are considered as having graphomotor disabilities (GD). Although the prevalence of GD in school-aged children is up to 30 %, until now, there is no tool that would enable their objective and complex assessment. The goal of this PhD thesis is to research online handwriting (i.e. handwriting recorded by digitizers) parameterisation methods, with the aim to improve diagnosis and assessment of GD in children population. The research will be held in cooperation with psychologists from Masaryk University and from the Czech Academy of Sciences.
The aim of this work is to design methods and tools for verification of security and safety of equipment deployed for real operation. The work is mainly focused on end devices for power engineering and industry deployed within Smart Grids and Industry 4.0 concepts and their verification from the view of security threats and functional errors.
The aim of the thesis is to conduct research on the mechanisms of flying base stations as part of the emerging 5th generation (5G) of wireless networks. Autonomous flying platforms (drones) are considered to be a very promising way to increase the capacity of modern mobile networks, but at the same time present a number of technical challenges. The task of the student will be to carry out a detailed overview of existing commercial and non-commercial solutions and to focus mainly on optimizing the communication parameters of flying base stations. Partial issues will also be the management of secure communication between elements of the fleet of flying UAVs.
The topic focuses on the analysis of security threats, the design of security solution based on modern cryptography and the optimization of solutions for upcoming intelligent networks such as Internet of Everything, Internet of Vehicles, 5G and Smart Cities. The research will focus on problems and solutions for communication security in decentralized networks and the adaptation and implementation of data privacy-enhancing technologies. The participation on Department’s national and international research projects is expected.
The topic aims at the research into design of resistive-capacitive elements with distributed parameters (RC-EDP) and their utilization in electrical. The main part of the study will be design of RC-EDP implementing immittance functions of fractional (i.e. integer) order. Different types of RC-EDP implementations and production technologies will be analyzed. For the selected technology, the production data will be processed. The topic also includes the design and verification of RC-EDP applications in electronic circuits, especially realizing circuit functions of fractional order.
The Internet of Things is becoming a global infrastructure used from home automation to industry, and critical infrastructure is being considered. IoT uses a variety of communication technologies, and it is therefore necessary to address authentication and data encryption between the end elements of this infrastructure. The aim of this work is to design a method for authentication and encryption with its verification in real operation.
The aim is to analyse the up-to-date development and trends in the area of converged networks, mainly the problems of protection against cybernetic attacks. The areas of 5G mobile, SDN (Software Defined Networks) and related transmission technologies are seemed to be among the advanced possibilities. Design of innovative or new protection methods is supposed to be based on the obtained observation. The research requires orientation in networks area, experience with MATALB or SCILAB programs, and knowledge of at least one of VHDL, C or Java languages, evolutionary algorithms, and possibly use of the system FPGA.
The work will focus on research in the field of IP telephony security. It will include an analysis of protocols that providing VoIP telephony, known attacks, design and verification of new attacks. On the basis of the analyses will be proposed approaches to eliminate or minimize the impact of researched attacks on VoIP traffic. Individual approaches will be tested in practical implementations.
Examination of the common carotid artery (CCA) based on ultrasound measurements is an effective method for detecting cardiovascular diseases. In particular, the spatial evolution of the CCA wall is related to diagnostically relevant parameters describing, e.g., CCA tissue elasticity. Accordingly, the goal of this PhD thesis is to estimate the time-varying contour of the CCA wall from an ultrasound video sequence. This is to be achieved by developing a sequential extension of a machine learning method known as Gaussian process regression (GPR). In the GPR method, a function to be learned is represented by a random process, which avoids an explicit parametric representation. The desired sequential extension of the GPR method should be able to continuously track the detailed shape of the CCA wall over a time period of arbitrary duration. (Collaboration partner: Prof. Franz Hlawatsch, TU Wien)
The main challenge of this work will be to design an intelligent communication system for managing the power grid and for early identification of threats in energy infrastructure to secure a fast recovery of power supply. That means to make a research in the area of appropriate communication channels, also to design and develop low-power communication units with independent power supply on measured power sources.
Examination of the common carotid artery (CCA) from ultrasound measurements is an effective method for detecting cardiovascular diseases. The goal of this PhD thesis is the development of time-recursive methods for tracking CCA- related multiple scatterers in an ultrasound videosequence. These methods will be based on hidden Markov models describing the temporal evolution of the scatterers and smoothing techniques for multitarget tracking, and they will take advantage of the strong statistical dependencies of the scatterers. The smoothing approach is expected to outperform current filtering approaches at the expense of a higher computational complexity.
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.
The spatiotemporal analysis displays the cumulative development of the sound field as a function of direction of the sound intensity using the spatial impulse response. Application of this method is, for example, an analysis of listening rooms, estimation of direction of the incoming sound and more. On the contrary, the spatiotemporal synthesis allows the perceptually based reproduction of 3D sound field for film and multimedia production, virtual and augmented reality or 360-degree video. The aim of dissertation thesis is research and development of methods of sound field pick-up using microphone arrays and subsequent synthesis for specific rendering systems.
The goals of PhD. study are the advanced methods of processing segmented audio signal by time-variant systems, the segment processing methods and subsequent reconstruction of the output signal from segments in real-time, the systems with the variable length of segment and overlap amount, the effective methods of the assessment of statistic signal parameters and the methods for automatic adaptation of the length of segment to current statistical features of processed signal.
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.
Currently, there are a number of reliable algorithms for classifying the content of images. These algorithms are mainly based on convolutional neural networks. The trend in image processing and analysis is to adapt these algorithms to be able to analyze the dynamic component of an image signal. The topic of the thesis will be focused on the research of the possibilities of using convolutional neural networks for the purpose of classification of actions / activities in video recordings.
The topic is focused on research of new detection mechanisms in order to detect cyber attacks. The main goal is to research new detection mechanisms based on signatures or anomaly detection. The research will primarily focus on models that are created by machine learning algorithms and using the model to detect unknown malicious events (cyber attacks). The goal is also research of suitable correlation methods to detect these attacks. The participation on Department’s research projects is expected.
The topic is focused on research into and development of modern methods ensuring cybersecurity in systems and networks for supervisory control and data acquisition systems. To this purpose, the combined methods based on advanced anti-malware techniques, intrusion detection and prevention, and self-healing mechanisms will be used. Participation in the Department’s research projects is expected.
Tutor: Fujdiak Radek, doc. Ing., Ph.D.
The aim is to create a design of an optimized smart communication network (Smart Grid) connected with Internet of Things (IoT), focusing on smart cities eventually houses. Use of modern sensors and other elements. Transmission and reliability optimization M2M (Machine-To-Machine) and advanced communication infrastructure design. Making wireless communication protocols more effective. Developing ideas of Industry 4.0. Mobile networks are planned for 5G and LTE, PLC, Ethernet, NB-IoT, SigFox, LoRaWAN. Use of the simulation tool Network Simulator 3 (NS3) and similar environments is supposed.
The topic is focused on research into and development of novel methods for intrusion detection systems in industrial control systems and networks. The main objective is to create a security layer with the capability to detect past and ongoing cyber incidents. This layer is represented by a system based on deep learning algorithms, pattern recognition and modern anomaly detection algorithms. Participation in the Department’s research projects is expected.
The topic focuses on the analysis, design and optimization of lightweight cryptography protocols and solutions. The main aspect of the research is to design solutions providing the security and data protection for Internet of Things (IoT) based on communication types such as D2D (device - device) and D2I (device - infrastructure). The research will focus on problems and solutions of applied cryptography on computational and memory constrained resources. The participation on Department’s national and international research projects is expected.
The aim is to analyse security aspects of the Software Defined Networks (SDN) technology. Optimization of existing and design of new algorithms against vulnerability of SDN will be proposed. New strategies are needed to secure the operation of the control plane, ensuring the controller is a priority. The attack vectors for SDN systems and share routes to secure the virtual network infrastructure that supports SDN and then the methods that are currently being considered in network protection play an important role. Due to the separation of the control plane from the data plane, there are several parts that must be protected from attackers. In addition to attacks on the controller, there are attacks on links, data plane devices, and applications. The application sphere of the research will be Blockchain-Based Distributed Trading in Energy Internet, smart grids, microgrids, solar energy systems and other current technologies. Selection and subsequent use of suitable simulation tools and other means is expected.