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Branch detail

Teleinformatics


Abbreviation: PPA-TLI
Specialisation: -
Length of Study: 4 years
Programme: Electrical Engineering and Communication
Faculty: Faculty of Electrical Engineering and Communication
Academic year: 2017/2018
Accredited from: 25.7.2007
Accredited until: 31.12.2020
Profile of the branch:
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.
Branch supervisor: prof. Ing. Zdeněk Smékal, CSc.
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 based on a geomorphological processes which contributed to form a given analysed grain structure.

    Tutor: Říha Kamil, doc. Ing., Ph.D.
  2. Analysis and use of public data on Internet

    The study topic is focused on data-mining of freely accessible information on the web. This information will be analysed for similarities and patterns. The analysis results may be used for detection of criminal offences.

    Tutor: Komosný Dan, doc. Ing., Ph.D.
  3. Analysis of distributed services

    The distributed services are common on the Internet, such as data repositories (mirrors). The work will focus on analysis of such services from the point of view of network communication and its quality of service. For example, these two areas may be investigated: particular mirror selection based on its geographical location and assuring the permanent availability of the data.

    Tutor: Komosný Dan, doc. Ing., Ph.D.
  4. Arterial Wall Motion Using Sequential Bayesian Estimation

    The thesis is focused on an effective method for an analysis of the movement of the arterial wall through the development of a new methodology for detecting and tracking interest points located at the arterial wall in the ultrasound videosequence. This new methodology will be based on statistical (Bayesian) models of interest point’s evolution and corresponding methods for multi-object tracking. The main aspects of these models and methods are their ability to model and exploit the structural properties of point evolution and to learn these structural properties from the measurement data. (Collaboration partner: Prof. Franz Hlawatsch, TU Wien)

    Tutor: Říha Kamil, doc. Ing., Ph.D.
  5. 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.
  6. Dedicated operating systems

    Nowadays, the classic operating systems are used on small dedicated devices that usually have restricted hardware resources. The study topic is focused on porting operating systems on such devices. Optimization of the needed functions against the available hardware resources may be done. OS Linux may be used for this purpose.

    Tutor: Komosný Dan, doc. Ing., Ph.D.
  7. Design and Verification of New Algorithms for Efficient Management of Heterogeneous Radio Resources in 5G Wireless Networks

    With the increasing amount of mobile data traffic and number of connected devices, the need for highly efficient algorithms to manage heterogeneous radio resources in the 5th generation of mobile networks, which are expected to be commercially deployed in horizon of five years, is even more evident. Moreover, the ability to self-organize the network parameters is an important element of future cellular networks, mainly because of their growing complexity and extremely high transmission demands of some mobile applications. A complex structure of the future cellular networks (containing e.g. femto cells or communications simultaneously utilizing different radio access technologies) imposes new challenges in management of these networks. With the growing network’s size and complexity, also the amount of resources, that are needed to maintaining the network, are increasing. Following that, the main task of this doctoral thesis is to survey state-of-the-art of 5G technologies and consequently design new algorithms for heterogeneous radio resources management in 5G mobile networks. The proposed algorithms will be verified and evaluated by selected simulation tools and also directly in the experimental LTE-A network.

    Tutor: Hošek Jiří, doc. Ing., Ph.D.
  8. 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.
  9. Detection and Tracking of Multiple Objects from Multiple Camera Images

    The automated detection and tracking of objects based on camera images is an important problem in various surveillance applications. The goal of this PhD thesis is to develop and study methods for the detection and tracking of an unknown number of mobile objects based on multiple camera images. These methods will make use of recently developed techniques of statistical signal processing, including the belief propagation algorithm and multitarget tracking algorithms based on random finite sets. An important aspect of the envisaged work is the modeling of the objects and of their motion. (Collaboration partner: Prof. Franz Hlawatsch, TU Wien)

    Tutor: Říha Kamil, doc. Ing., Ph.D.
  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. 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.
  12. Methods for the design of fractional elements and circuits

    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 synthesis of fractional elements and circuits using these elements.

    Tutor: Koton Jaroslav, doc. Ing., Ph.D.
  13. 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.
  14. Parallelization of evolutionary algorithms

    The aim is the research in the field of evolutionary algorithms parallelization. Parallelization is an integral part to increase the effectiveness of evolutionary algorithms and their possible use. Research should build on current knowledge and carry out research on the impact of selected parameters and design performance. Research should be concentrated on the island models of evolutionary algorithms. According to the chosen method the knowledge of any programming language is required, as well as scripting language Python or Matlab. Selected development and testing environment is left on free choice. The result should be presented and results verified.

    Tutor: Škorpil Vladislav, doc. Ing., CSc.
  15. Peer-to-peer networks

    Peer-to-peer networks are commonly used for data sharing among a large number of Internet users. The work will deal with methods of communication in such networks. The focus may be on data misuse, data loss, and distribution of illegal content.

    Tutor: Komosný Dan, doc. Ing., Ph.D.
  16. 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 technologies such as mHealth and Connected Health (using IoT).

    Tutor: Mekyska Jiří, Ing., Ph.D.
  17. Research on Reliability and Security of Communication Architectures for Consumer and Industrial IoT Applications

    Currently, the Internet of Things (IoT) is one of the most dynamic branches of Information and Communication Technologies (ICT). Already today, the range of IoT applications is extremely broad, from wearable fitness trackers to connected cars, spanning the industries of utilities, transportation, healthcare, consumer electronics, and many others. However, we are only beginning to witness the true explosive growth of the IoT, with 10 billion MTC devices connected presently and 24 to 50 billion total connections expected within the following 5 years. However, the IoT of today is an unnecessarily complex and potentially vulnerable heterogeneous ecosystem, which embodies diverse connectivity between various types of networks across multiple communication technologies (such as ZigBee, WirelessHART, 6LoWPAN, legacy WiFi and Bluetooth, ISA100.11a, MiWi, BACnet, Z-Wave, NB-IoT, LoRa, Sigfox, etc.). The pressing challenge to construct a holistic connectivity infrastructure requires to make radical changes to how MTC systems are built, deployed, maintained, and used. Therefore, the main goal of this doctoral thesis will be research of universal communication architecture suitable for emerging customer and as well as industrial IoT applications with the strong focus on reliability and security. The thorough assessment of proposed solutions will be done in the simulation tools as well as via experimental implementations.

    Tutor: Hošek Jiří, doc. Ing., Ph.D.
  18. Research on Reliability and Security of Communication Architectures for Consumer and Industrial IoT Applications

    Currently, the Internet of Things (IoT) is one of the most dynamic branches of Information and Communication Technologies (ICT). Already today, the range of IoT applications is extremely broad, from wearable fitness trackers to connected cars, spanning the industries of utilities, transportation, healthcare, consumer electronics, and many others. However, we are only beginning to witness the true explosive growth of the IoT, with 10 billion MTC devices connected presently and 24 to 50 billion total connections expected within the following 5 years. However, the IoT of today is an unnecessarily complex and potentially vulnerable heterogeneous ecosystem, which embodies diverse connectivity between various types of networks across multiple communication technologies (such as ZigBee, WirelessHART, 6LoWPAN, legacy WiFi and Bluetooth, ISA100.11a, MiWi, BACnet, Z-Wave, NB-IoT, LoRa, Sigfox, etc.). The pressing challenge to construct a holistic connectivity infrastructure requires to make radical changes to how MTC systems are built, deployed, maintained, and used. Therefore, the main goal of this doctoral thesis will be research of universal communication architecture suitable for emerging customer and as well as industrial IoT applications with the strong focus on reliability and security. The thorough assessment of proposed solutions will be done in the simulation tools as well as via experimental implementations.

    Tutor: Hošek Jiří, doc. Ing., Ph.D.
  19. Search for electrophysiological and imaging markers for identification of those at prodromal stages of Parkinson’s disease and dementia with Lewy bodies

    Electroencephalography evaluates spontaneous electrical brain activity through electrodes placed on the hairy skin of head. Specific changes on electroencephalogram (EEG) enable to differentiate patients with dementia with Lewy bodies (DLB) and dementia in Parkinson’s disease (PD) from healthy controls and patients with Alzheimer’s disease. Nowadays, it is possible to assess temporal and spatial patterns of EEG signal changes in various frequency bands, e.g. to explore relative frequency of specific EEG microstates. This method had not yet been used in patients with PD/DLB but there is some data suggesting that increased occurrence of specific EEG microstates might help to identify those at risk for hallucinations and cognitive fluctuations. Transcranial sonography (TCS) is a widely used method in medicine based on the Doppler principle and employed e.g. for evaluation of blood flow in vessels, imaging of organs in the abdominal cavity or for evaluation of heart function. Using TCS through so-called temporal window it is also possible to visualize some brain structures. Hyperechogenicity of substantia nigra is associated with iron deposition in this subcortical mesencephalic region and it is an early marker of PD/DLB. The main goal will be to combine these non-invasive techniques in order to identify those at prodromal stages of both diseases, i.e. prior to development of specific clinical symptoms that are necessary for clinical diagnosis. The research will be held in cooperation with from St. Anne's University Hospital in Brno and Central European Institute of Technology.

    Tutor: Mekyska Jiří, Ing., Ph.D.
  20. 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.
  21. Security of operating systems

    The study topic deals with analysis of threads and attacks on operating systems with a focus on the open-source systems, such as OS Linux. Based on the gained knowledge, the work will deal with analysis, simulation, and prevention of the attacks.

    Tutor: Komosný Dan, doc. Ing., Ph.D.
  22. 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.
  23. Service virtualization

    There are many services available on the Internet, such as large capacity data storage and server hosting (for example www, ftp). These services are commonly virtualized for an effective use of hardware resources. The study topic will cover analysis of virtualized services and their optimal use.

    Tutor: Komosný Dan, doc. Ing., Ph.D.
  24. Sparsity-exploiting distributed target tracking

    The scenario considered in this PhD thesis is a network of agents that collaborate in order to track a moving target 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 “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.
  25. 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.

Course structure diagram with ECTS credits

Year of study 1, winter semester

Code Title L. Cr. Sem. Com. Compl. Gr. Op.

Optional specialized
FEKT-DBM1A Advanced methods of processing and an... en  4  winter OS DrEx   yes
FEKT-DTK2A Applied cryptography en  4  winter OS DrEx   yes
FEKT-DET1A Electrotechnical materials, material ... en  4  winter OS DrEx   yes
FEKT-DFY1A Junctions and nanostructures en  4  winter OS DrEx   yes
FEKT-DEE1A Mathematical Modelling of Electrical ... en  4  winter OS DrEx   yes
FEKT-DME1A Microelectronic Systems en  4  winter OS DrEx   yes
FEKT-DRE1A Modern electronic circuit design en  4  winter OS DrEx   yes
FEKT-DAM1A Selected chaps from automatic control en  4  winter OS DrEx   yes
FEKT-DVE1A Selected problems from power electron... en  4  winter OS DrEx   yes
FEKT-DTE1A Special Measurement Methods en  4  winter OS DrEx   yes
FEKT-DMA1A Statistics, Stochastic Processes, Ope... en  4  winter OS DrEx   yes

General knowledge
FEKT-DJA6A English for post-graduates cs  4  winter GK DrEx   yes
 


Year of study 1, summer semester

Code Title L. Cr. Sem. Com. Compl. Gr. Op.

Optional specialized
FEKT-DMA2A Discrete Processes in Electrical Engi... en  4  summer OS DrEx   yes
FEKT-DME2A Microelectronic technologies en  4  summer OS DrEx   yes
FEKT-DRE2A Modern digital wireless communication en  4  summer OS DrEx   yes
FEKT-DTK1A Modern network technologies en  4  summer OS DrEx   yes
FEKT-DTE2A Numerical Computations with Partial D... en  4  summer OS DrEx   yes
FEKT-DET2A Selected diagnostic methods, reliabil... en  4  summer OS DrEx   yes
FEKT-DAM2A Selected chaps from measuring techniques en  4  summer OS DrEx   yes
FEKT-DBM2A Selected problems of biomedical engin... en  4  summer OS DrEx   yes
FEKT-DEE2A Selected problems of electricity prod... en  4  summer OS DrEx   yes
FEKT-DFY2A Spectroscopic methods for non-destruc... en  4  summer OS DrEx   yes
FEKT-DVE2A Topical Issues of Electrical Machines... en  4  summer OS DrEx   yes
 


Year of study 1, both

Code Title L. Cr. Sem. Com. Compl. Gr. Op.

Compulsory
FEKT-DQJAA English for the state doctoral exam cs  4  both C DrEx   yes