Branch Details

Teleinformatics

FEKTAbbreviation: PPA-TLIAcad. year: 2018/2019

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 (applications submitted from 01.07.2018 to 31.07.2018)

  1. Advanced 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 based on a geomorphological processes which contributed to form a given analysed grain structure.

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

  2. 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.

  3. Analysis and emulation of fractional systems

    The description and realization of fractional systems gain on attention in numerous engineering areas, e.g. as a tool for in vivo non-invasive measurement and subsequent analysis. The aim of the thesis is the description and design of methods and tools suitable for analysis of real systems using fractional calculus and their modelling.

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

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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-considered, formally well-developed and complicated methods that use IP systems in various areas. Surveillance and protection systems, systems of paying the fare, information systems and 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 realized in the form of functional specimens. Communication between two cars without a driver intervention, collision avoidance, information transmission about traffic from the places cars left are expected. A highly accurate navigation system based on Galileo system (GNSS) for controlling functional blocks of cars are considered.

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

  10. 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 propose such a network, which could have the capacity, but also in terms of resistance to ensure the crisis communication. This would, in particular, traffic data, voice, TV broadcast. Other parts would propose new methods of Internet communication management-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 topology, where appropriate, the Internet, the aim is to design a system for exchanging files over the Internet, but without any central control. The system would be intuitively usable. The solution should be safe and allow anonymous of the sender and the recipient of the data. The final. design of highly durable network suitable for crisis situations and this proposal prove theory.

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

  11. Electronically configurable parameters of analogue circuits

    This topic focuses on design of two-ports, filtering circuits especially, oscillators or for instance generators, with possibility to externally and electronically change significant parameters of the circuit, change of type of frequency response or also generated signal. Design with fractional-order elements is 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. This research topic follows up running research at this workplace and anticipates engaging into wider team of researchers.

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

  12. 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.

  13. 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.

  14. Methods for optimization of analog circuit structures using parasitic effects of transistors

    The thesis is focused on design of optimization methods of MOS-only analog circuit structures of arbitrary 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 tens of MHz and above. Selected novel structures will undergo on-chip fabrication and experimentally tested.

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

  15. More Effective security of networks with IEEE 802.11 Standard

    The vulnerability of the IEEE 802.11, attacks on the security methods and the methods for its effectiveness. Wireless network security issues expected standards IEEE 802.11. A detailed introduction to these standards, describe the various types of wireless security, including their properties and the subsequent theoretical analysis. The implementation of the attacks on the various methods of modern security algorithms, emphasis will be placed on the identification of weaknesses of 802.11 protocols. On the basis of the findings will be designed and tested security more effective. Attention will be paid to the security quality of service QoS in 802.11 networks. The network will be subject to examination by appropriate programs and simulators (OMNET++, NS2). Will also be examined according to modern services (IP phones, the transmission of video, voice, multimedia) to delay and to be performed, including an overall analysis to the QoS optimization.

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

  16. Network services of operating systems

    Operating systems with the Linux kernel are used for providing many services, such as web servers or large data repositories, which are replicated and situated at different geographical places for their optimal accessibility. The student, based on gained knowledge, will analyse and simulate behaviour of operating systems under different loads given by network communication. The study goal may be a proposal of theoretical improvements with their verification in simulated and real environments.

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

  17. Operating systems on single-board computers

    Nowadays, the classic operating systems are used on small dedicated devices that have restricted hardware resources (single-board computers, for example Raspberry Pi). Student will gain knowledge about the structure of operating systems and use of particular hardware resources. The topic goal may be a theoretical analysis and modification of the system kernel or system programs considering the available resources of a single board computer. Linux operating systems may be used for this purpose.

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

  18. Optimization of analog systems using fractional-order storage components

    The thesis is focused on design of novel arbitrary fractional-order passive storage components. The main aim is research and development of new structures of solid-state or active emulators of capacitors or inductors for optimization of analog systems. Selected novel structures will undergo on-chip fabrication and experimentally tested.

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

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

    The aim of the study is to optimize the routing principles. The architecture of network element with priority routing will be designed. An original procedure will be proposed for modelling this problematic mathematically and also for implementing the mathematical model. The software simulation of a system that can be used to control the switching field designed for switching data units shall be extended with hardware implementation, e.g. via programmable logic fields of development system FPGA. The knowledge obtained will be generalized and related to the theory of high-speed network elements. The MATLAB program and Simulink and the VHDL and Visual C++ language in particular are expected to be used in software simulation.

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

  20. Peer-to-peer Network in Overloaded Locality

    Supporting the idea of using the data transfer to peer-to-peer communication between devices in a given locality. Simulate the mobile network is congested for, such as exhibitions, concerts, etc. In this case, that people use the same service on a mobile Internet-news, Twitter, Facebook. Proposal for a network, which will organize itself and it will be possible to ensure, through a network of mobile operator the page or information downloaded, only one user in the site, among others, would then spread the content of the ad-hoc networks. With the growing number of facilities would be de facto increased the transport capacity of the network. When the extension of the traffic, despite the different media or across operators will be able to carry calls.

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

  21. Research of Cloud-RAN Supporting the Multi-RATs Toward 5G Mobile Systems

    The topic of this doctoral study will be the research on possibilities of deploying C-RAN (Cloud Radio Access Network) technology in 4th and 5th generation mobile networks (4G / 5G) in order to increase the mobile system capacity (number of connected users, number of transmitted data, etc.). Another part will be the analysis of possibilities of using different radio technologies within the access mobile network, so called Multi Radio Access Technologies (RATs) solutions. The acquired knowledge will be implemented and experimentally verified in the 3GPP LTE-A mobile network deployed at the Department of Telecommunications, FEEC BUT. The output of the dissertation will be a summary of the recommendations, the implementation proposal and the testing methodology for data transfers in 4G / 5G mobile systems using Multi-RAT and C-RAN.

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

  22. Research of methods of quantitative rigidity, bradykinesia and resting tremor analysis in patients with Parkinson’s disease

    Parkinson’s disease is the second most frequent neurodegenerative disorder, which is characteristic by several motor and non-motor features. The most frequent ones are rigidity (muscle stiffness), bradykinesia (slow movements) and tremor in rest. The state-of-the-art devices like smartphones, smartwatches and smartbracelets are able to acquire information about movement that can be further processed. The aim of this work is to research parameterization methods of signals coming from gyroscopes and accelerometers, and use these methods for treatment effect monitoring, treatment individualization and patient’s health assessment. 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.

  23. Research of new cryptographic light-weight symmetric algorithms in modern sensoric networks and IoT applications

    The work focuses on the research of new cryptographic light-weight symmetric algorithms for security optimization in modern sensoric networks used in wide range of IoT applications. The goal is to create optimized and secure end-to-end communication with all cryptographic functions. The research will result in own cryptographic protocol, which will optimally balance the so-called trinity principle (Security, Performance, and Cost).

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

  24. Research of speech parameterization methods used for differential analysis of hypokinetic dysarthria and apraxia of speech

    Hypokinetic dysarthria (HD) is a motor speech disorder caused by lesions in basal ganglia, usually in the case of Parkinson’s disease. In contrary to HD, apraxia of speech (AOS) is disorder of verbal communication planning or programming, and is caused by lesions in premotor cortex. Although HD and AOS are different speech disorders, they have common symptoms, and they are both manifested in fields of phonation, articulation, prosody and respiration. Therefore, the differential analysis is quite challenging. The aim of this PhD thesis is to research speech parameterization methods that will enable detailed quantification of large range of specific speech disorders and support differential analysis of HD and AOS. The research will be held in cooperation with neurologists and speech therapists from University of Arizona, University of Szeged, St. Anne's University Hospital in Brno and Central European Institute of Technology.

    Tutor: Mekyska Jiří, Ing., Ph.D.

  25. 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 consequential transmission technologies are seemed to be among the advanced possibilities. The design of innovative or new protection methods is supposed to be on the basis of obtained observation. Research requires a summary of networks area, practice with MATALB or SCILAB programs, or knowledge of at least one of VHDL, C or Java languages, system FPGA, evolutionary algorithms, etc.

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

  26. Security of operating systems

    The topic deals with analysis of attacks on operating systems, especially with the Linux system kernel. Security of operating systems may be increased by various measures, for example, by a modification of the system kernel known as SELinux. Each additional security measure results in an overhead and decreases of the operating system performance. Based on gained knowledge during the doctorate study, the student will analyse, simulate and implement selected scenarios of attacks. The study goal may be a theoretical and practical security proposal in relation to the operating system functionality and its use.

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

  27. Sequential Estimation of Arterial Wall Contours

    Examination of the common carotid artery (CCA) based on ultrasound measurements is an effective method for detecting cardiovascular diseases. In particular, the spatial evolution of the CCA wall is related to diagnostically relevant parameters describing, e.g., CCA tissue elasticity. Accordingly, the goal of this PhD thesis is to estimate the time-varying contour of the CCA wall from an ultrasound video sequence. This is to be achieved by developing a sequential extension of a machine learning method known as Gaussian process regression (GPR). In the GPR method, a function to be learned is represented by a random process, which avoids an explicit parametric representation. The desired sequential extension of the GPR method should be able to continuously track the detailed shape of the CCA wall over a time period of arbitrary duration. (Collaboration partner: Prof. Franz Hlawatsch, TU Wien)

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

  28. Smoothing Methods for Arterial Wall Motion Tracking

    Examination of the common carotid artery (CCA) from ultrasound measurements is an effective method for detecting cardiovascular diseases. The goal of this PhD thesis is the development of time-recursive methods for tracking CCA- related multiple scatterers in an ultrasound videosequence. These methods will be based on hidden Markov models describing the temporal evolution of the scatterers and smoothing techniques for multitarget tracking, and they will take advantage of the strong statistical dependencies of the scatterers. The smoothing approach is expected to outperform current filtering approaches at the expense of a higher computational complexity.

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

  29. Software optimization for battery-powered sensor nodes

    Sensor nodes in the concept of Internet of Things play a key role in large data acquisition. Their use includes a variety of applications that have one common problem – limited energy resource when battery-powered. The controlling and communication software run on sensor nodes has an effect on energy consumption. The topic goal may be finding both general and application-oriented software solutions for minimization of energy consumption.

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

  30. The design of methods of data detection in xPON systems

    The aim is to design methods, an algorithm, to detect data in xPON network. Furthermore, to design the algorithm with a possibility of implementation into FPGA. The focus is on the data detection between OLT and ONU units. An development platform equipped with programmable XILINX network card and G.984 GPON system will be granted. The knowledge of VHDL, FPGA is needed, a knowledge of C or Python is beneficial. The overview of xPON network is an integral part.

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

1. round (applications submitted from 01.04.2018 to 15.05.2018)

  1. 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.

  2. Research of new methods of using an elliptic curves in cryptosystems

    The work focuses on research of new methods of using an elliptic curves in cryptosystems based on the new findings in the field. The research focuses on effective methods for generation of new elliptic curves as well as on the analysis of elliptic curve attributes and its behavior on different hardware platforms. That means to create an effective generator of cryptographic elliptic curves. Based on obtained knowledge from in-depth analysis and experimental measurements, the research will continue with a focus on the application of one-time pad algorithms such as Vernam cipher. Last but not least, the work will result in new own cryptographic protocol based on so-called one-time elliptic curves.

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


Course structure diagram with ECTS credits

1. year of study, winter semester
AbbreviationTitleL.Cr.Com.Compl.Hod. rozsahGr.Op.
DBM1AAdvanced methods of processing and analysis of imagesen4Optional specializedDrExS - 39no
DTK2AApplied cryptographyen4Optional specializedDrExS - 39no
DET1AElectrotechnical materials, material systems and production processesen4Optional specializedDrExS - 39no
DFY1AJunctions and nanostructuresen4Optional specializedDrExS - 39no
DEE1AMathematical Modelling of Electrical Power Systemsen4Optional specializedDrExS - 39no
DME1AMicroelectronic Systemsen4Optional specializedDrExS - 39no
DRE1AModern electronic circuit designen4Optional specializedDrExS - 39no
DAM1ASelected chaps from automatic controlen4Optional specializedDrExS - 39no
DVE1ASelected problems from power electronics and electrical drivesen4Optional specializedDrExS - 39no
DTE1ASpecial Measurement Methodsen4Optional specializedDrExS - 39no
DMA1AStatistics, Stochastic Processes, Operations Researchen4Optional specializedDrExS - 39no
DJA6AEnglish for post-graduatescs4General knowledgeDrExCj - 26no
1. year of study, summer semester
AbbreviationTitleL.Cr.Com.Compl.Hod. rozsahGr.Op.
DMA2ADiscrete Processes in Electrical Engineeringen4Optional specializedDrExS - 39yes
DME2AMicroelectronic technologiesen4Optional specializedDrExS - 39yes
DRE2AModern digital wireless communicationen4Optional specializedDrExS - 39yes
DTE2ANumerical Computations with Partial Differential Equationsen4Optional specializedDrExS - 39yes
DTK1AOptimization Methods and Queuing Theoryen4Optional specializedDrExS - 39yes
DET2ASelected diagnostic methods, reliability and qualityen4Optional specializedDrExS - 39yes
DAM2ASelected chaps from measuring techniquesen4Optional specializedDrExS - 39yes
DBM2ASelected problems of biomedical engineeringen4Optional specializedDrExS - 39yes
DEE2ASelected problems of electricity productionen4Optional specializedDrExS - 39yes
DFY2ASpectroscopic methods for non-destructive diagnostics en4Optional specializedDrExS - 39yes
DVE2ATopical Issues of Electrical Machines and Apparatusen4Optional specializedDrExS - 39yes
1. year of study, both semester
AbbreviationTitleL.Cr.Com.Compl.Hod. rozsahGr.Op.
DQJAAEnglish for the state doctoral examcs4CompulsoryDrExyes