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 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.

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. 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.

2. Automatic music transcription of recordings into symbolic representation

   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.

   Tutor: Smékal Zdeněk, prof. Ing., CSc.

3. Big data sharing in Internet

   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.

4. Compressive distributed target tracking

   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.

5. Countermeasures methods that eliminate side channel attacks

   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.

6. Design of Modern IP Sophisticated Telematics Systems in Transport

   Telematics systems are particularly common in transport. Research into telematics systems based on the Internet Protocol will be focused on the design of sophisticated, i.e. well-defined, formally well-developed and complicated methods that use IP systems in various areas. Surveillance and protection systems, systems of paying the fare, information systems, interactive applications, etc. are supposed in particular. Localization by GPS, vehicle diagnostics, and vehicle monitoring on orthomaps in real situations are in the focus. Sophisticated telematics systems will be software simulated, optimized and subsequently hardware implemented in the form of functional prototypes. Communication between two cars without a driver intervention, collision avoidance, information transmission about traffic from the places that cars left are expected. A highly accurate navigation system based on the Galileo system (GNSS) for controlling functional blocks of cars is considered.

   Tutor: Škorpil Vladislav, doc. Ing., CSc.

7. Development of Algorithms for Management of Queues and Control of Switching in Active Network Elements

   Today's active network elements use a range of powerful algorithms for management of queues and control of switching. The task is to implement selected algorithms of queues management into a development system equipped with the FPGA card, to measure their performance and to develop a custom algorithm of queues management while respecting the standard marking used for QoS solutions. The solution assumes knowledge of languages C, VHDL, MATLAB, and possibly Verilog. An architecture of a network element with priority routing will be designed. An original procedure will be proposed for modelling this problem mathematically together with the implementation of the mathematical model. Software simulation of a system that can be used to control the switching field designed for switching data units shall be extended by its hardware implementation, e.g. via programmable logical arrays of the development system FPGA. The knowledge obtained will be generalized and related to the theory of high-speed network elements.

   Tutor: Škorpil Vladislav, doc. Ing., CSc.

8. Eavesdropping speech signals using optical fibers

   It is known that the optical fiber can capture acoustic waves travelling across it. The goal of the PhD student would be to explore this type of eavesdropping on speech signals, map its possibilities and weaknesses, and last but not the least, process the captured signals, denoise them and analyze.

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

9. Effective Use of IP Networks in Crisis Situations

   The aim is to create an effective strategy for the use of the public and private IP networks for crisis management. Also to propose such a network, which could have the capacity, but also in terms of resistance, to guarantee the crisis communication. This would be in particular traffic data, voice, and e.g. to manage the flow of information, etc. Research should also include the influence of network topology on its stability and security, the speed of the spread of viruses, ability to resist attacks, etc. One of the objectives is to design a software robot that will be able to monitor the network, and TV broadcasting. Other parts would propose new methods of Internet communication management, where appropriate, the Internet topology. The aim is to design a system for exchanging files over the Internet, but without any central control. The system should be intuitively usable. The solution should be safe and allow anonymity of the sender and the recipient of the data. The final objective is a theoretically supported design of a highly durable network suitable for crisis situations.

   Tutor: Škorpil Vladislav, doc. Ing., CSc.

10. Fiber optic infrastructure security

    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.

11. Forensic analysis of network communication

    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.

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

12. Forensic analysis of operating systems

    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.

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

13. 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.

14. LDPC codes

    The work will be focused on analysis of the current error control systems in 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. Based on this groundwork the new approaches to solving these systems will be introduced.

    Tutor: Šilhavý Pavel, doc. Ing., Ph.D.

15. Machine learning in photonics

    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.

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

16. Methods for testing of cyber attacks resistance

    The topic is focused on research and design of new methods that can be used during the security testing of cyber attacks resistance. 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 or internet of things. The participation on Department’s research projects is expected.

    Tutor: Martinásek Zdeněk, doc. Ing., Ph.D.

17. 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.

18. 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.

19. Modern fiber optic transmission systems

    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.

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

20. Multicarrier modulations in optical transmission systems

    Multitone modulations are today frequently used modulation techniques, e.g. in VDSL, G.fast, PLC, DVB-T, DVB-T2, WLAN IEEE 802.11a, g, n, ac 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.

    Tutor: Šilhavý Pavel, doc. Ing., Ph.D.

21. Musical source separation using machine learning and ANN techniques

    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.

    Tutor: Smékal Zdeněk, prof. Ing., CSc.

22. Objective metrics for estimating subjective evaluation of perceptual quality of degraded audio signals

    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).

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

23. Optimization of PI/PD/PID Controllers Using Fractional-Order Storage Elements

    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.

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

24. Optimization of 3D location algorithms for wireless sensor networks

    Wireless sensor networks are used primarily 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 topical in connection with the swarm of drones and their control. The aim of the work will be the analysis and optimization of 3D location algorithms and their subsequent implementation.

    Tutor: Krajsa Ondřej, Ing., Ph.D.

25. Parallelization of Genetic Algorithms

    The aim is research in the field of genetic algorithms parallelization. Parallelization is an integral part of an endeavour to increase effectiveness of genetic algorithms and their possible use. Research should build on current knowledge and carry out further research on the impact of selected parameters and design details on the performance. 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 to free choice. The results should be presented and verified.

    Tutor: Škorpil Vladislav, doc. Ing., CSc.

26. Post-Quantum Cryptographic Protocols

    The topic aims at the analysis, design and optimization of modern post-quantum cryptographic (PQC) protocols. The research can be more focused on the one of current open problems such as post-quantum security in blockchain technology, quantum-resistant privacy-preserving methods, PQC on constrained devices, a hardware acceleration of PQC at FPGA platforms, etc. The participation on Department’s national and international research projects is expected.

    Tutor: Malina Lukáš, doc. Ing., Ph.D.

27. Real-time operating systems

    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.

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

28. Reconstruction of degraded audio signals based on deep neural networks

    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.

29. Reconstruction of degraded audio signals via spectrogram factorizations

    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.

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

30. Reconstruction of three-dimensional magnetic-resonance data using compressed sensing

    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.

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

31. 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.

32. 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.

33. Research of higher-order fractional transfer functions

    The topic deals with definition of fractional-order transfer function’s forms suitable both for cascade and non-cascade synthesis of analogue frequency filters. For specific approximation types, such as Butterworth, Bessel, or Chebyschev, coefficients of the transfer function are determined depending on the form and order of the transfer function. The determined coefficients primarily respect the prime parameter of the selected approximation (e.g. the maximal flatness in the module characteristic, constant group delay, etc.), but additionally also take into account other parameters of the designed frequency filters (i.e. phase response, group delay or step response), which in case of integer-order transfer functions are observed as consequence of the initial approximation type. The output of the research are sets of coefficients of defined transfer functions, that using the presence degrees of freedom enable to design frequency filters that follow strict requirements on more frequency filters parameters at the same time. The topic continues in the research presented by our group in: https://www.degruyter.com/document/doi/10.1515/fca-2021-0030/html (Open Access)

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

34. Research of High-Frequency Frequency-Agile Linear Systems

    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.

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

35. Resistive-Capacitive Elements with Distributed Parameters - Design, Implementation and Utilization in Electrical Circuits

    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.

36. Security and Privacy in Intelligent Infrastructures

    The topic focuses on the research of applied modern cryptography (light cryptography, schemes with privacy protection, authentication and key management) and optimization of schemes within intelligent networks such as Internet of Everything, Internet of vehicles and smart cities. The research deals in more detail with the design of methods for securing communication in decentralized and heteregenous networks and with enhanced privacy protection of users. The participation on Department’s national and international research projects is expected.

    Tutor: Malina Lukáš, doc. Ing., Ph.D.

37. Security of IP telephony

    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.

    Tutor: Šilhavý Pavel, doc. Ing., Ph.D.

38. Security of operating systems

    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.

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

39. 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.

40. Testbed for evaluation of communication technologies for Smart Grids

    The aim of this work is to design a comprehensive model of communication technologies for Smart Grids networks. This model will be deployed and be verified in a simulation and laboratory environment. Another goal of this work is to design and experimentally verify the methodology of evaluation of communication technologies and their security for Smart Grids networks.

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

41. 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.

1. round (applications submitted from 01.04.2022 to 15.05.2022)

1. Clinically interpretable machine learning in the field of predictive analysis of neurodegenerative and neurodevelopmental disorders

   As the population ages, there is an increasing demand for computerized analysis of data acquired from patients suffering from neurodegenerative or neurodevelopmental diseases in order to provide objective diagnosis, assessment, treatment, and prevention of these diseases. The aim of this dissertation thesis is to research and develop multimodal and clinically interpretable machine learning methods in the field of quantitative analysis of neurodegenerative and neurodevelopmental diseases using various motor as well as non-motor digital biomarkers. In collaboration with neurologists from St. Anne's University Hospital in Brno and Central European Institute of Technology at Masaryk University, the developed methods will be integrated into systems based on Health 4.0 technologies.

   Tutor: Galáž Zoltán, Ing., Ph.D.

2. Electronically configurable analogue circuits

   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.

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

3. Hardware Implementation of Modern Cryptography

   The topic focuses on the secure and efficient hardware implementations of modern cryptographic schemes at FPGA boards. The research also includes the design and optimization of security countermeasures against hardware-based attacks (side channels attacks, fault injections) and their practical testing. The participation on Department’s national and international research projects is expected.

   Tutor: Malina Lukáš, doc. Ing., Ph.D.

4. Measurement of precipitation by microwave links

   The measurement of atmospheric precipitation by commercial point-to-point microwave links is a promising option for obtaining valuable information on the total precipitation total, which can be used to supplement data from measurements by meteorological radars and ground-based rain gauges to calculate a combined precipitation estimate. However, measurements with microwave links are still fraught with a number of errors and inaccuracies. The aim of this work is to search for and design possible new methods for refining this measurement, and also to optimize existing methods so that the resulting data reaches the required quality and accuracy for use in further processing in professional hydrometeorological applications.

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

5. Methods for penetration test

   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.

   Tutor: Martinásek Zdeněk, doc. Ing., Ph.D.

6. One class learning for visual anomaly detection of complex shapes

   One-class classification includes model learning techniques using "normal" data (or highly unbalanced data) and predicting whether new data is normal or anomaly when compared to the training data. This technique has a high potential for application in many scientific areas, especially in the field of visual quality control and products and e-health. The aim of the dissertation is the design and implementation of innovative techniques based on machine learning, which will be used for automatic detection of failures of complex shapes.

   Tutor: Burget Radim, doc. Ing., Ph.D.

7. Security in Converged Networks

   The aim is to analyse the up-to-date development and trends in the area of converged networks, mainly the problems of protection against cyber attacks. Design of innovative or new protection methods is supposed to be based on obtained observation. The research requires an orientation in the networks area, experience with MATLAB or SCILAB programs, and knowledge of at least one of VHDL, C or Java languages, evolutionary algorithms, and possibly use of the system FPGA.

   Tutor: Škorpil Vladislav, doc. Ing., CSc.

8. Spatiotemporal Analysis and Synthesis of Sound Field

   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.

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

9. Spatiotemporal Analysis and Synthesis of Sound Field

   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.

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

10. 5G Mobility Network Data Ingestion into “As a Service” Management Platforms

    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.

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