Branch Details

Teleinformatics

Original title in Czech: TeleinformatikaFEKTAbbreviation: PK-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

  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 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.

  3. 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.

  4. 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.

  5. Cryptanalysis of hardware implementations

    The topic is focused on research of novel method for side channel analysis. These methods will target hardware implementation of cryptographic algorithms utilizing the Field-programmable gate array platform (FPGA). The participation on Department’s research projects is expected.

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

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. Neural ordinary differential equations for image segmentation

    One of the most promising advances in the field of artificial intelligence in 2018 was the technology of so-called neural ordinal differential (ODE) networks, which has the potential to influence all directions of machine learning from its foundations. The aim of this dissertation is to develop ODE networks for signal segmentation and to achieve higher ability to generalize using machine learning algorithms and achieve higher accuracy. The comparison should be designed considering the current modern architectures of massively parallel hardware and the computational capabilities algorithms. It is supposed to cooperate with Honeywell company on the topic.

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

  16. Neural ordinary differential equations for image segmentation

    One of the most promising advances in the field of artificial intelligence in 2018 was the technology of so-called neural ordinal differential (ODE) networks, which has the potential to influence all directions of machine learning from its foundations. The aim of this dissertation is to develop ODE networks for signal segmentation and to achieve higher ability to generalize using machine learning algorithms and achieve higher accuracy. The comparison should be designed considering the current modern architectures of massively parallel hardware and the computational capabilities algorithms. It is supposed to cooperate with Honeywell company on the topic.

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

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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, Ing., Ph.D.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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, Ing., Ph.D.

  27. 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.

  28. 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.

  29. 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.

  30. 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.

  31. 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.


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 specializedDrExno
DRE2Modern digital wireless communicationcs4summerOptional specializedDrExyes
DTE2Numerical Computations with Partial Differential Equationscs4summerOptional specializedDrExyes
DFY2Spectroscopic methods for non-destructive diagnostics cs4summerOptional specializedDrExno
DET2Selected diagnostic methods, reliability and qualitycs4summerOptional specializedDrExyes
DAM2Selected chaps from measuring techniquescs4summerOptional specializedDrExno
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