Branch Details

Teleinformatics

Original title in Czech: TeleinformatikaFEKTAbbreviation: PP-TLIAcad. year: 2019/2020

Programme: Electrical Engineering and Communication

Length of Study: 4 years

Accredited from: 25.7.2007Accredited until: 31.12.2020

Profile

The aim of the studies is to prepare top-class scientific personalities that will be able to provide solution to challenging problems of science and technology in the field of information technologies in telecommunications. Another aim is to teach graduates the methods of scientific work, to make their knowledge of higher mathematics and physics more profound, and to furnish students with theoretical, experimental and practical knowledge from the field of teleinformatics.

Key learning outcomes

Graduates of doctoral studies in the field of teleinformatics are fit to work as scientific and research workers in the development, design and operation departments of research and development institutes, and telecommunications companies, where they can make full creative use of their knowledge and skills.
The graduate is capable of solving independently sophisticated problems of science and technology in the field of teleinformatics.
In view of the scope of his theoretical education the graduate is capable of adapting to practice requirements in both fundamental and applied research.

Occupational profiles of graduates with examples

This field of study focuses on the science education of doctoral students with profound theoretical foundations in converging communication and in formation technologies. The main part of the study includes course in theoretical informatics and telecommunication technology. In the area of teleinformatics the student has much knowledge of communication and information technologies, data transmissions and their security, inclusive of using and designing the related software. He is well versed in operating systems, computer languages, database systems, distributed applications and the like. He can cope with the algorithmization of tasks on a high level and can propose new technological solutions of telecommunication devices, information systems and support services.

Supervisor

Issued topics of Doctoral Study Program

2. round (podání přihlášek od 01.07.2019 do 31.07.2019)

  1. Analysis and Classification of Textural Features

    The thesis is focused on definition and analysis of textural features in images of sedimentary grains acquired by electron microscope device. The main goal of the work is to objectivize and to automatize the estimation of exoscopic parameters of given grains with the purpose to statistically classify the grains into different classes.

    Tutor: Říha Kamil, doc. Ing., Ph.D.

  2. Analysis of Expressive Music Performance

    Musical expression is the art of playing or singing music with emotional communication. Expression include dynamic indications, such as forte or piano, phrasing, differing qualities of timbre and articulation, colour, intensity, energy and excitement. All of these devices are at the service of the composer's intention and they can best be interpreted by the performer. The goal of a dissertation is to analyze the works in terms of a agogics comparing different interpretations, whether they are musicians and conductors. Comparison should include not only different interpretive approaches, but also the historical and social context that it affects.

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

  3. Bayesian Data Fusion in Decentralized Sensor Networks

    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)

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

  4. Communication network quality parameters

    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.

    Tutor: Zeman Václav, doc. Ing., Ph.D.

  5. Communication strategy for Smart Grids and IoT

    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.

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

  6. 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, doc. Mgr., Ph.D.

  7. Converters for mutual A/D and D/A conversions working in the current mode

    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.

  8. Countermeasures methods that eliminates side-channels attacks

    The topic is focused on research and design of the countermeasures methods that can be utilized to eliminate side-channels attacks.

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

  9. Design of smart communication network – Smart Grid

    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.

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

  10. Distributed fibre-optic sensing systems

    The thesis is focused on the design and development of distributed optical fibre sensing systems. The systems use conventional single-mode fibers, multi-mode fibers, plastic POF fibers, microstructural fibers or other special fibers as sensors. Using scattering phenomena (Raman scattering, Brillouin scattering, Rayleigh scattering), or using changes in optical signal parameters (changes in intensity, phase, polarization, spectrum, etc.), information about different physical quantities along the optical fiber can be obtained.

    Tutor: Münster Petr, Ing., Ph.D.

  11. Electrical Phantoms Emulating Impedance of Natural Materials

    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, Ing., Ph.D.

  12. Electronical phantoms describing fractional impedance behaviour of real-world systems

    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.

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

  13. 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.

  14. Enhancing security of networks with the IEEE 802.11 Standard

    As wireless network security issues suppose use of standards IEEE 802.11, its vulnerability, attacks methods on the security, and the methods for enhancing effectiveness will be studied. Detailed introduction to these standards, description of various types of wireless security, including their properties and the subsequent theoretical analysis is supposed. Implementation of attacks on various methods of modern security algorithms will be used to identify the weaknesses of 802.11 protocols. On the basis of the findings a more effective security will be designed and tested. Attention will be paid to guarantee quality of service QoS in 802.11 networks. The network will be subject to examination by appropriate programs and simulators (OMNET++, NS2). Effect of delay on modern services (IP phones, transmission of video, voice, multimedia) will also be examined. An overall analysis, including QoS optimization will be performed.

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

  15. Feature analysis of current-mode electronic frequency filters

    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.

    Tutor: Lattenberg Ivo, doc. Ing., Ph.D.

  16. LDPC codes

    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, Ing., Ph.D.

  17. Methods for Optimization of Analog Integrated Circuit Structures Using Parasitic Effects of Transistors

    The thesis is focused on design of optimization methods of MOS-only analog circuit structures 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 hundreds of MHz and above. Selected novel implementations of frequency filters, emulators of synthetic inductors, oscillators, etc. with potential applications in 5G communication systems will undergo on-chip fabrication and experimental verification.

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

  18. Modelling and simulation of communication technologies for Smart Grids

    Design of communication infrastructure of Smart Grid is a complex issue, where the issue of models and simulations are essential. The aim of the work is to design a comprehensive model for considered communication variants for smart grid in the energy sector. This model should be tested in the simulation environment.

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

  19. Modern Cryptography and Digital Identity Protection

    The topic is focused on research into and development of novel cryptographic algorithms, protocols and systems, in particular for the area of strong authentication and privacy protection. The main objective is to create a cryptographic scheme focused on strong security and optimization for constrained devices, such as smart cards, mobile devices or wearables. The participation on Department’s research projects is expected.

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

  20. Modern data backup systems

    The goal of the dissertation thesis is to design a general model for data backup. Different backup systems and different backup strategies must be quantitatively evaluated by this model.

    Tutor: Burda Karel, doc. Ing., CSc.

  21. Multicarrier modulations in optical transmission systems

    Multitone modulations are today frequently used modulation techniques, e.g. in ADSL, VDSL, 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.

    Tutor: Šilhavý Pavel, Ing., Ph.D.

  22. Non-Linear Modeling for Electroacoustic Applications

    The topic of study is the research of nonlinear system models in electroacoustic applications, especially models of speakers and microphones, based on the state-space description. The aim of the dissertation thesis is to design models of chosen electroacoustic systems which maximum of the physical phenomena taken into account that contribute to its nonlinear behavior and their implementations for real-time digital signal processing optimized with respect to the computing power of the system in which the model is implemented. These models will be used for modelling real-time systems, equalizing and compensating their undesirable features, especially for measurement purposes and a better description of their parameters. Research will be conducted in collaboration with the Université du Maine Le Mans and companies dealing with the development of software for processing audio signals.

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

  23. Optimization of Cryptographic Algorithms for High-Speed Networks

    The topic is focused on research of novel methods for the optimization of mainly asymmetric cryptographic algorithms for high-speed networks (100 Gbps and more) based on field programmable gate arrays (FPGAs). The participation on Department’s research projects is expected.

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

  24. Optimization of PID Controllers Using Fractional-Order Storage Elements

    The thesis will deal with problems 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 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.

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

  25. Optimization of Routing Principles in High-speed Converged Networks

    The aim of the study is to optimize the routing principles. 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 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. MATLAB, Simulink and the VHDL and Visual C++ languages in particular are expected to be used in software simulation.

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

  26. Peer-to-peer Network in Overloaded Locality

    The basic idea is the use of peer-to-peer communication between devices for data transfer in a given locality. A congested mobile network during mass actions like exhibitions, concerts, etc. will be simulated. In such situations people use the same mobile Internet services - News, Twitter, Facebook. The objective is a proposal of a network, which will organize itself and where it will be possible to ensure, through a network of the mobile operator, that a particular page or information will be downloaded only by one user in the site. To spread the contents among other users, an ad-hoc networks will be used. Growing number of facilities would then de facto increase the transport capacity of the network. By extension of the traffic through different media or across operators, it will be possible to transfer also calls.

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

  27. Physical unclonable functions

    The study topic is focused on research of physical unclonable functions and their use in cryptographic protocols. Physical unclonable function (PUF) is a physical entity that is embodied in a physical structure and is easy to evaluate but hard to predict. PUF represent an alternative to safely store secret key cryptosystems.

    Tutor: Zeman Václav, doc. Ing., Ph.D.

  28. Post-quantum cryptographic protocols

    The topic aims at the analysis, design and optimization of modern post-quantum cryptographic protocols that offer a secure alternative to existing protocols based on discrete logarithm and factorization problems. The participation on Department’s research projects is expected.

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

  29. Reconstruction of three dimensional non-Cartesian ultrashort echo-time (UTE) MR 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, doc. Mgr., Ph.D.

  30. Research of Analog Active Function Blocks for Biosensors

    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.

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

  31. Research of analysis methods and recognition of pilot state by means of multimodal signals

    With increasing density of air traffic there are higher demands on safety whose essential part is the need to monitor the state of flight crew. Several recent cases showed that states as fatigue, stress and mental workload may have even fatal consequences. By early detection of these states it might be possible to alert flight crew or control tower. Technology should increase the flight safety and eventually enable new ways of air traffic organization. The aim of this PhD thesis is to research analysis and parametrization methods of physiological (e.g. electrocardiography and encephalography) and behavioral (e.g. gestures and sitting postures) signals for the recognition of the cognitive state or current pilot’s activity. Research will be focused particularly on the identification of relevant features and modalities that correlates with the defined states or activity classes by using statistical and empirical methods. Another aim is to propose a suitable classification algorithm based on the amount of data available and their temporal characteristics. The research will be conducted in cooperation with Honeywell. Position details to be discussed individually, a competitive salary is offered.

    Tutor: Mekyska Jiří, Ing., Ph.D.

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

    This 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.

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

  33. Research of quantitative motor and non-motor symptoms analysis in Lewy body diseases

    Lewy body diseases (LBD), 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, dysarthria, etc. The aim of this PhD thesis is to research parameterization methods of signals coming from wearable device sensors, in order to diagnose LBD in its 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, Ing., Ph.D.

  34. Research on optimization of communication parameters of flying base-stations in 5G infrastructure

    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.

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

  35. Resistive Capacitive Elements with Distributed Parameters and Their Utilization in Electrical Circuits

    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.

    Tutor: Kubánek David, Ing., Ph.D.

  36. Secure Communication in the Internet of Things

    The topic aims at the analysis, design and optimization of modern cryptographic protocols that ensure communication security and data protection in the Internet of Things (IoT) and for D2D (device - device) and D2I (device - infrastructure) communication. The research will focus on the issues and solutions of secure communication and key management in decentralized heterogeneous networks. The participation on Department’s research projects is expected.

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

  37. 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 cybernetic attacks. The areas of 5G mobile, SDN 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.

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

  38. 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, Ing., Ph.D.

  39. Security of operating systems

    Research and development of operating systems reflect changes in the area of cybersecurity. The topic deals with analysis of operating system architectures from the security point of view with a consecutive identification of their critical parts (for example, based on a study of previous attacks). The goal of the topic is optimization of operating systems and their services in relation to security threads.

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

  40. 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.

  41. Tempo and duration analysis of different interpretations of musical composition

    The aim of the dissertation thesis is time analysis of various interpretations of carefully chosen music piece in terms of tempo and duration. This analysis should show interpretational differences in comparison with the notation and it also includes historical and social aspects of interpretation. The aim is to suppress subjective conception of analysis and highlights objective comparison on the basis of scientific methods and procedures.

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

  42. Transmission of multimedia data in IoT networks

    Doctoral thesis deals with transmission of multimedia data in IoT and wireless sensor networks. The aim of a research is to perform a study of possibilities that allowing transmission of multimedia data on devices with limited computing resources and design and development of algorithms ensure transmission of multimedia data with emphasis on high security, low latency and efficient usage of device's resources.

    Tutor: Zeman Václav, doc. Ing., Ph.D.

  43. Usage of artificial Intelligence in passive optical networks

    The thesis is focused on the design and development of rogue optical network unit detection which does not follow the time slots in upstream directions. Shared infrastructure and receiving all data units in downstream direction are the main security threats in passive optical networks. The main aims of the thesis are research possibilities of modified optical network unit and optimization of activation process of end unit in critical infrastructure with artificial intelligence.

    Tutor: Horváth Tomáš, Ing., Ph.D.

  44. 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 (podání přihlášek od 01.04.2019 do 15.05.2019)

  1. Analysis of image and sound data by a combination of conventional methods and deep learning techniques

    Recently, deep learning techniques have been used to analyze image and audio data that overcome current conventional data processing techniques. In most cases, raw data (image, sound, etc.) is directly used as the machine learning process input. The disadvantage of this approach is the need of large amounts of training data and long time training. The topic of the thesis is focused on research of possibilities of preprocessing of such data by suitable conventional methods whose output will be used for deep learning techniques. An assumption is a significant reduction in the amount of training data needed and hence the training time.

    Tutor: Přinosil Jiří, Ing., Ph.D.

  2. Audio restoration methods based on combination of optimization and 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, doc. Mgr., Ph.D.

  3. Design of Modern IP Sophisticated Telematic Systems in Transport

    Telematic systems are particularly common in transport. Research into telematic 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 ortho-maps in real situations are in the focus. Sophisticated telematic 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.

  4. Distributed communication systems

    Distributed services are used in systems, which require continuous functionality if one of more system resources fail. An example is a distributed data repository. The topic deals with analysing these services from the view point of network communication, such as topology and routing. The research will focus on optimization of communication in these systems based on selected criteria, which could include data availability or reduction of accessing times.

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

  5. 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 network 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 TV broadcast. Other parts would propose new methods of Internet communication management, eg. to manage the flows of information, etc. Research should include also 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 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.

  6. Interpretation analysis of audio signals using digital signal processing

    Digital processing of audio signals can play a key role in interpretation analysis, which in the past was primarily a matter of individual listening or manual data sorting. Higher computing power and the development of new techniques have allowed the emergence of advanced methods of extracting information from music recordings. Algorithms for automatic music transcription, classification, tempo detectors or separation of musical instruments have been developed. The aim of this thesis is to create and implement algorithms for extraction of various parameters from musical signals and their subsequent use in interpretation analysis.

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

  7. Methods for accomplishment of optimal quantitative parameters of communication networks

    This topic focuses on research in area of methods leading to accomplishment of optimal quantitative parameters for particular types of data traffic in communication networks. In area of mobile networks, we are concerned about 5G network slicing technique. It is related to virtualization of network resources, dynamic control of configuration of network and allocation of available resources based on current requirements of particular service. Analytical solution together with simulations in suitable environment is expected to be done.

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

  8. Modern fiber-optic transmission systems

    The work is focused on the problems of modern transmission systems in optical fibers, especially on high-speed transmission systems and special applications, such as transmission of accurate time, stable frequency, sensing, or QKD. In addition to analyzing and optimizing existing technologies for standard single-mode optical fibers, the work is also focused on modern multicore or few mode fibers.

    Tutor: Münster Petr, Ing., Ph.D.

  9. Operating systems for minimalist computers

    The topic deals with research and development in the area of operating systems for minimalist computers. Minimalist computers, also minicomputers or single-board computers, are commonly used in general fields of informatics, such as robotics, multimedia, monitoring and security systems. The topic goal is theoretical analysis and consecutive optimization of operating system internals for their use in these applications.

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

  10. Real-time operating systems

    Real-time systems are used in new applications, such as small wearable devices. These systems should continually evaluate input parameters and respond within a specific time to an input event. Research and development in this area is focused on assuring the timed responses when the hardware used is considered. The topic goal is to analyse the requirements of these systems, theoretically describe and then propose an optimal solution that would guarantee the time constraints.

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

  11. Research of musicotherapy individualisation in patients with epilepsy

    Several research teams around the world independently reported, that listening to Mozart’s music has a positive effect on patients with epilepsy, i.e. that it decreases number of epileptic discharges (we are generally speaking about the so-called Mozart effect). Nevertheless, based on the state-of-the-art MIR (music information retrieval) methods, it has been shown that everyone reacts to specific features of the composition differently. Therefore, it is assumed, that some kind of musicotherapy individualisation can make the positive effect even stronger. The aim of this PhD thesis is to research new musicotherapy individualisation approaches based on multimodal analysis (especially combination of audio and EEG signal processing) and machine learning. The research will be held in cooperation with the St. Anne's University Hospital in Brno and the Central European Institute of Technology.

    Tutor: Mekyska Jiří, Ing., Ph.D.

  12. Research of novel methods of incomplete spatial information analysis in digital images

    The theme is focused on the research of novel methods for analysis of spatial information captured in digital images. These source data can be represented by temporal or spatial sequences eventually by a single image whereas the analysis should result from a given scene geometry.

    Tutor: Říha Kamil, doc. Ing., Ph.D.

  13. Research of the communication infrastructure of 5G networks utilizing millimeter wave frequency bands

    5G networks are upon us and this next-generation of wireless communication is being powered by a new technology known as millimeter wave (mmWave). MmWave and 5G are used almost synonymously, but there are key differences between the two. The mmWave technology is just one part of what future 5G networks will use. It stands for the technology which is a cornerstone of upcoming 5G networks, allowing for faster data speeds, lower latency AR and VR applications, and much higher bandwidth than ever before. Therefore, this doctoral thesis will deal with the design and analysis of advanced communications featuring millimeter waves, which are expected to be deployed in next-generation communication systems. The main task of the doctoral candidate will be therefore to analyze the current situation in this research area and then propose an optimal solution of communication infrastructure with respect to the expected communication scenarios.

    Tutor: Mašek Pavel, Ing., Ph.D.

  14. Research of the communication infrastructure of 5G networks utilizing millimeter wave frequency bands

    5G networks are upon us and this next-generation of wireless communication is being powered by a new technology known as millimeter wave (mmWave). MmWave and 5G are used almost synonymously, but there are key differences between the two. The mmWave technology is just one part of what future 5G networks will use. It stands for the technology which is a cornerstone of upcoming 5G networks, allowing for faster data speeds, lower latency AR and VR applications, and much higher bandwidth than ever before. Therefore, this doctoral thesis will deal with the design and analysis of advanced communications featuring millimeter waves, which are expected to be deployed in next-generation communication systems. The main task of the doctoral candidate will be therefore to analyze the current situation in this research area and then propose an optimal solution of communication infrastructure with respect to the expected communication scenarios.

    Tutor: Mašek Pavel, Ing., Ph.D.

  15. Research on effective monitoring techniques in wireless networks of 802.11 protocol family

    The topic focuses on one of the most widespread communication protocol family - IEEE 802.11, which expands beyond the classical networks and also intervenes in modern areas such as autonomous cars, industrial networks and the Internet of Things. The research will deal with issues related to the verification of wireless network security, ensuring sufficient level of security in these networks, and effective monitoring techniques applicable to modern intrusion detection systems or intrusion prevention systems.

    Tutor: Fujdiak Radek, Ing., Ph.D.

  16. Research on modern techniques for enhancing the security and reliability of wireless communication protocols in internet of things

    The topic focuses on current distributed and decentralized systems with device-to-device or machine-to-machine communication. The research will focus on increasing security and reliability with addressing transmission prioritization, link layer optimization, end-to-end security, and advanced monitoring methods applicable to modern intrusion detection systems or intrusion prevention systems

    Tutor: Fujdiak Radek, Ing., Ph.D.


Course structure diagram with ECTS credits

1. year of study, winter semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
DET1Electrotechnical materials, material systems and production processescs4winterOptional specializedDrExyes
DEE1Mathematical Modelling of Electrical Power Systemscs4winterOptional specializedDrExyes
DME1Microelectronic Systemscs4winterOptional specializedDrExyes
DRE1Modern electronic circuit designcs4winterOptional specializedDrExyes
DTK1Optimization Methods and Queuing Theorycs4winterOptional specializedDrExyes
DFY1Junctions and nanostructurescs4winterOptional specializedDrExyes
DTE1Special Measurement Methodscs4winterOptional specializedDrExyes
DMA1Statistics, Stochastic Processes, Operations Researchcs4winterOptional specializedDrExyes
DAM1Selected chaps from automatic controlcs4winterOptional specializedDrExyes
DVE1Selected problems from power electronics and electrical drivescs4winterOptional specializedDrExyes
DBM1Advanced methods of processing and analysis of imagescs4winterOptional specializedDrExno
DJA6English for post-graduatescs4winterGeneral knowledgeDrExyes
DRIZSolving of innovative taskscs2winterGeneral knowledgeDrExyes
DEIZScientific publishing A to Zcs2winterGeneral knowledgeDrExyes
1. year of study, summer semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
DTK2Applied cryptographycs4summerOptional specializedDrExyes
DMA2Discrete Processes in Electrical Engineeringcs4summerOptional specializedDrExyes
DME2Microelectronic technologiescs4summerOptional specializedDrExyes
DRE2Modern digital wireless communicationcs4summerOptional specializedDrExyes
DTE2Numerical Computations with Partial Differential Equationscs4summerOptional specializedDrExyes
DFY2Spectroscopic methods for non-destructive diagnostics cs4summerOptional specializedDrExyes
DET2Selected diagnostic methods, reliability and qualitycs4summerOptional specializedDrExyes
DAM2Selected chaps from measuring techniquescs4summerOptional specializedDrExyes
DBM2Selected problems of biomedical engineeringcs4summerOptional specializedDrExno
DEE2Selected problems of electricity productioncs4summerOptional specializedDrExyes
DVE2Topical Issues of Electrical Machines and Apparatuscs4summerOptional specializedDrExyes
DJA6English for post-graduatescs4summerGeneral knowledgeDrExyes
DCVPQuotations in a research workcs2summerGeneral knowledgeDrExyes
DRIZSolving of innovative taskscs2summerGeneral knowledgeDrExyes
1. year of study, both semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
DQJAEnglish for the state doctoral examcs4bothCompulsoryDrExyes