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Branch detail

Teleinformatics


Original title in Czech: Teleinformatika
Abbreviation: PP-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 application data flows in new generation mobile networks, localization of bottlenecks in networks

    The scope of the Ph.D. thesis is the analysis of current state and the prediction of service data flow profile progress in modern mobile networks, both in current and in future ones. The goal of the research will be the analysis of subscriber service profiles and getting pieces of information from it. The mobile network performance evaluation from the perspective of user application data flows will be another partial topic of the thesis.

    Tutor: Novotný Vít, doc. Ing., Ph.D.
  4. 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.
  5. 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.
  6. 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.
  7. Communication strategy for Smart Grids

    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 Smart meters roll-outs. 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 specified scenarios in the energy sector.

    Tutor: Mlýnek Petr, doc. Ing., 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. 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.
  10. 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.
  11. 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.
  12. Design of novel linear circuits with minimal configuration on transistor level

    The thesis is focused on research of novel realizations of integer- and fractional-order analog circuits. The aim is to develop a low-voltage and low-power applications such as frequency filters, emulators of synthetic inductors, etc. based on functional blocks employing minimal number of transistors that work in frequency range tens of MHz. The workability of proposed circuits will be proved by computer simulations and via experiments.

    Tutor: Herencsár Norbert, doc. Ing., Ph.D.
  13. 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.
  14. Dew Computing Framework Supporting Modern Brain Therapy Approaches

    Therapy processes addressing brain damage rehabilitation are more productive and achieved improvements more sustainable if they are provided systematically and continuously, optimal to the patient needs. The traditional model assuming rehabilitation conducted in highly-specified rehabilitation centers (clinics) that involves therapy pauses due to the high costs and resource lacks doesn’t support this aim. Therefore, there are already efforts to provide therapy at homes equipped with appropriate technical resources too. Providing home therapy addressing brain balance disorders, a significant category of brain damage impairments, is a good example. A long-term vision of modern treatments is data-centric. The captured data sets involve primary data gathered, e.g., by body sensors and a balance training equipment (e.g., balance force platform) and derived data, e.g., statistical and data-mining models. It is assumed that the future therapy developments will be based on a distributed network involving cooperating rehabilitation centers Each center coordinates a set of associated homes. There are many challenging requirements including data and therapy parameter security, reducing impacts of Internet connection interrupts, synchronization of collected data and extracted models. Cloud and Dew computing will play important role in this development. Dew computing is an emerging new research area and it is a challenging research issue to explore its great potential in applications. In this paradigm, the on-premises computer power provides functionality that is independent of cloud services and is also collaborative with cloud services. This Doctoral Thesis investigates a category of life-science applications with focus on brain damage rehabilitation, specifies requirements on a framework supporting productive development of such applications, designs an appropriate architecture, and experimentally implements a kernel functionality of the framework. The application set considered involves the balance disorder application in Prague and Parkinson’s Disease application in Brno. The suggested technology-based solution makes steps forward that each patient gets truly individualized training even at his/her home. Thesis advisors (consultants): • Prof. Peter Brezany, BUT Brno and University of Vienna • Prof. Olga Stepankova, CVUT Praha • MUDr. Marketa Janatova, 1. LF Univerzity Karlovy and CVUT Praha • Ass. Prof. Dr. Fakhri Alam Khan, Department of Computer Science and Information Technology, Institute of Management Sciences, Peshawar, Pakistan

    Tutor: Brezany Peter, Univ. Prof. Dr.
  15. 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.
  16. Electronically configurable analogue circuits

    Téma je zaměřeno na návrh dvojbranů, zejména pak filtračních obvodů či např. oscilátorů s možností externí elektronické změny významných parametrů obvodu či v případě filtru i typu kmitočtové odezvy. Předpokládá se i návrh struktur s prvky neceločíselného řádu. Pro tyto účely budou využity především již existující aktivní prvky, popř. budou navrženy jejich modifikované varianty. Předkládají se simulace nejen s jednoduchými modely, ale i s modely na tranzistorové úrovni. Při experimentálním ověřování budou práce zaměřeny především na behaviorální modelování.

    Tutor: Jeřábek Jan, doc. Ing., Ph.D.
  17. 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.
  18. Fibre-optic sensors

    The work focuses on a design, simulation and realization of fibre-optic sensors. These systems use conventional single-mode telecommunication fiber, multimode fibre, plastic POF (Plastic Optical Fibre), microstructure fibre, or other special types of fibres as a sensor or fibre serves as a transmission medium from sensors. By using of scattering phenomena (Raman scattering, Brillouin scattering, Rayleigh scattering), eventually by change of some parameters of an optical signal (changes in intensity, phase, polarization, spectrum, etc.) it is possible to obtain information about many physical quantities along the optical fibre.

    Tutor: Münster Petr, Ing., Ph.D.
  19. Fractional-Order Electronic Circuits

    The topic deals with analog electronic circuits of fractional order. These circuits are characterized by non-integer power of a complex variable in the characteristic equation. The aim is to find new frequency filters, oscillators, synthetic immittance elements, PID controllers and other fractional-order circuits. These circuits will provide more general characteristics compared to their integer-order counterparts. Mathematical description, modeling, implementation and practical use of these circuits are also included.

    Tutor: Kubánek David, Ing., Ph.D.
  20. 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.
  21. Medical data segmentation using deep learning methods

    Deep Learning is a progressively growing area of machine learning research, which has been introduced with the objective of moving machine learning closer to one of its original goals: Artificial Intelligence. Together with new methods of networks layers, optimization methods and new algorithms on special computational architectures there is huge potential for innovation especially in the area of unstructured data analysis. Objective of this thesis is to develop a machine learning networks and / or layers that will enable to automatically segment medical images form medical data using a template. The source of medical data will be provided by FN Brno, in the time of preparation of this Ph.D. thesis we are starting project with international company.

    Tutor: Burget Radim, doc. Ing., Ph.D.
  22. Methods for optimization of analog circuit structures using parasitic effects of transistors

    The thesis is focused on research of optimization methods of MOS-only analog circuit structures (frequency filters, oscillators, immittance converters, etc.). The aim of this research is to design and develop low-voltage and low-power applications by advantageous usage of influences of transistor parasitics that work in frequency range tens of MHz and above. The workability of proposed circuits will be proved by computer simulations and via experiments.

    Tutor: Herencsár Norbert, doc. Ing., Ph.D.
  23. 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.
  24. Model and methodology for communication technologies in Smart Grids

    Design of communication infrastructure of Smart Grid is a complex issue, where the role 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. The design of methodology for evaluation of ICT technologies in smart grid and experimental verification are the second aim of the work.

    Tutor: Mlýnek Petr, doc. Ing., Ph.D.
  25. Modelinng of varying acoustic enviroment

    The goals of PhD. study are concepts, algorithms, and systems for modeling sound propagation in variyng environment. The work will be focused on modeling the propagation of early reflections and perceptually-based statistical techniques that provide late reflections and subsequent reverberation with the moving sound source and/or listener.

    Tutor: Balík Miroslav, Ing., Ph.D.
  26. Modern Cryptography and User Authentication

    The topic is focused on modern cryptographic protocols for user authentication and attribute verification.

    Tutor: Hajný Jan, doc. Ing., Ph.D.
  27. 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.
  28. Modern methods of audio restoration

    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 advanced methods based on sparse signal representation. Psyhcoacoustic viewpoint of the problem will be covered as well.

    Tutor: Rajmic Pavel, doc. Mgr., Ph.D.
  29. 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.
  30. 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.
  31. Non-integer systems and their approximation

    For modeling of systems and structures from the area of electronics, biomedicine, chemistry and others the non-integer or fractional mathematical calculus gains on attention in these days. The aim of the thesis is the analysis and performance evaluation of current and description of own approximations of such systems to make their physical and efficient digital and/or analog design possible.

    Tutor: Koton Jaroslav, doc. Ing., Ph.D.
  32. Novel concepts of analog functional blocks with voltage differencing inputs and outputs

    The thesis is focused on research of novel types of non-conventional analog functional blocks and their utilization in integer- and fractional-order frequency filters, emulators of synthetic inductors, etc. The aim is to develop novel types of functional blocks with voltage differencing inputs and outputs that allow electronic tuning of current or voltage gains between their terminals. The workability of proposed circuits will be proved by computer simulations and via experiments.

    Tutor: Herencsár Norbert, doc. Ing., Ph.D.
  33. Optical pulse generators

    The scope of the Ph.D. thesis is a research of methods for generation of sparse and narrow optical pulses with power range from tens of miliwatts up to ones of watts and analysis of properties of particular generators including the design of new solutions

    Tutor: Novotný Vít, doc. Ing., Ph.D.
  34. Parallelization of digital signal processing methods

    Modern computational systems (CPU, GPU, APU, and DSP) can make use of a number of parallel computation units. The application of parallelization has now been standardized through OpenCL, which allows parallel programming of heterogeneous systems. At the same time, simulation environments (such as Matlab and Simulink) are also provided with the possibility of parallel programming. To begin with, it is necessary to make an analysis of the possibilities offered by the current standards for process parallelization that can be applied to the basic and advanced methods of digital signal processing. The aim of the dissertation is to propose algorithms for digital signal processing methods that will exploit the possibilities of parallel programming both in the course of simulation and in the final implementation for the target computational system.

    Tutor: Balík Miroslav, Ing., Ph.D.
  35. 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.
  36. 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.
  37. Perceptual Analysis of Audio Signals

    In many areas of audio signal processing, eg. in speech processing, lossy coding of audio signals or in objective assessment of the sound quality, methods based on a model of human hearing are used. The aim of the study is research of these methods for use in other areas, especially for analysis of the sound of musical instruments, for analysis of the listening rooms and for assessment of algorithms for restoration of audio signal, and research of modification of existing models of human hearing for applications in these areas.

    Tutor: Schimmel Jiří, doc. Ing., Ph.D.
  38. 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.
  39. RC 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 circuits especially with modern active elements (conveyors, current amplifiers etc.). The main part of the study will be design of RC-EDP implementing immittance functions of fractional (i.e integer) order. The aim will be improvement of properties compared to present solutions of fractional-order immittance elements (increase in accuracy, frequency bandwidth, better integrability, possibility of parameter setting). Frequency filters, oscillators, synthetic immittance elements and other circuits will be designed as applications of these elements. The aim will be improving properties compared to existing circuits and moreover obtaining characteristics that cannot be realized by classical elements or only at the cost of using complex structures.

    Tutor: Kubánek David, Ing., Ph.D.
  40. Research of high-frequency frequency-agile linear systems

    This thesis is focused on research of novel concepts of high-frequency frequency-agile linear systems using non-conventional analog functions blocks based on current and voltage conveyors. Frequency-agile filtering systems are special type 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 and via experiments.

    Tutor: Herencsár Norbert, doc. Ing., Ph.D.
  41. 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.
  42. Research of new methods for early detection of anomalies and security threats in the SCADA/ICS

    The work focuses on the research of new methods for the early detection of anomalies and security threats in industrial SCADA/ICS networks by using advanced monitoring and modern artificial intelligence algorithms. The analysis of industrial communication protocols, its security weaknesses and their well-known attacks will be included. New methods for big-data generation and own learning algorithms will be designed. Last but not least, own new methods for the early detection of anomalies and security threats will be created.

    Tutor: Mlýnek Petr, doc. Ing., Ph.D.
  43. Research of novel types of chemical analog active function blocks

    The dissertation is focused on research of novel structures of non-conventional analog active function blocks such as current and voltage conveyors using chemical description of their terminal variables. The aim of the research is to develop novel structures of chemical current and voltage conveyors of first-, second-, and third-generation or with voltage or current differencing inputs and their utilization in measurement systems for sensing basic quantities in biomedical systems.

    Tutor: Herencsár Norbert, doc. Ing., Ph.D.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. Security Optimization of new communication technologies LPWAN in the IoT area

    The work focuses on the research of new light-weight cryptography algorithms for security optimization of new progressive technologies LPWAN (Low-Power Wide Area Network) used in IoT. The main focus will be to create optimized secure communication protocol of end-to-end type with respect to all cryptographic functions and low power attributes.

    Tutor: Mlýnek Petr, doc. Ing., Ph.D.
  52. Sensor applications of optical fibres

    The goal of PhD study is the research of the influence of ambient conditions like temperature, pressure, mechanical vibrations on transmission characteristics of optical fibres, and the design of suitable methods and techniques of optical fibre usage as sensors of various physical quantities.

    Tutor: Novotný Vít, doc. Ing., Ph.D.
  53. 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.
  54. 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.
  55. Side-channel cryptanalysis

    The topic is focused on side-channel cryptanalysis and research in countermeasures.

    Tutor: Martinásek Zdeněk, Ing., Ph.D.
  56. 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.
  57. Spatiotemporal Analysis of Sound Fields

    The spatiotemporal method display 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. The aim of this work is to modify this method for various microphone arrays and to find new objective metrics describing the sound field using the spatiotemporal analysis, e.g. spatial information coding and objective assessment of the quality of the listening rooms.

    Tutor: Schimmel Jiří, doc. Ing., Ph.D.
  58. 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.
  59. 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.
  60. The Optical Fibers Polarization Properties Implementation for Multiplex Transmissions

    Work deals with the current trend of increasing the data rate of optical fiber using different types of multiplexing systems. With the new trends posing new theoretical and practical possibilities and problems. Work will analyze the propagation of light by polarized orthogonal planes and propose how they can be used and the possibility of implementing a real polarization multiplexing. Work will be coordinated with the needs of optical networks academic university in Brno and CESNET network.

    Tutor: Filka Miloslav, prof. Ing., CSc.
  61. Time-variant discrete systems for audio signal processing

    The analysis of the influence of time-variant discrete system on processed signal in a trice of the step modification of the system parameters. The time-variant systems based on the segmentation of the input signal, the segment processing, and the output signal reconstruction from segments. The systems with the variable length of segment and overlap amount. The effective methods of the assessment of statistic signal parameters. The automatic adaptation of the length of segment to current statistical features of processed signal.

    Tutor: Balík Miroslav, Ing., Ph.D.
  62. Towards Adaptive Optimization of Rehabilitation Processes of Balance Disorders

    Brain disorders occur when our brain is damaged or negatively influenced by injury, disease, or health conditions. Balance disorders create a significant category of brain damage impairments. The underlying hypothesis of the considered novel data-centric research approach is that detailed monitoring and continuous analysis of the data produced during patient’s rehabilitation exercise on modern balance force platforms complemented by patient´s physiological data integrated with data captured from other sources can help to optimize the therapy w.r.t. the current needs of the patient, to improve the efficiency of the therapeutic process, and to prevent patient overstressing during the therapy. The aim of this Doctoral Thesis is to develop an adaptive optimization (optimal selection and adjustment of therapy parameters from a large parameter value space) of involved therapeutic processes including precise monitoring, assessment, learning, and response cycles. This research will be conducted in cooperation with researchers from CVUT and Univerzita Karlova Praha (UK), who perform balance training (and collecting appropriate data) in rehabilitation centers built on their two home-grown systems: Homebalance - a system enabling balance training and Scope – a system collecting physiological data. Here, a set of sensors is capturing and storing large sets of data. In the initial phase, data provided by UK will serve as a source of positive and/or negative examples of interventions expected from adaptive optimization. Thesis advisors (consultants): • Prof. Peter Brezany, BUT Brno and University of Vienna • Prof. Olga Stepankova, CVUT Praha • MUDr. Marketa Janatova, 1. LF Univerzity Karlovy and CVUT Praha Univ.-Prof. Dipl.-Ing. Dr. Peter Brezany: Research Group for Scientific Computing, Faculty of Computer Science, University of Vienna, Vienna, Austria and SIX Research Centre, Institute for Telecommunication, Faculty of Electrical Engineering, BUT Brno

    Tutor: Brezany Peter, Univ. Prof. Dr.
  63. 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.
  64. Trends in the design of modern data networks

    Current data networks become more and more complex and cumbersome for both design and management due to the increasing demands for universality, high performance, efficiency, reliability and security. The scope of the Ph.D. thesis is the research of current development trends in the field, design and verification of new approaches to modern data network solutions for both current and near future needs for electronic form of communication.

    Tutor: Novotný Vít, doc. Ing., Ph.D.
  65. User identification through Internet traces

    All Internet users have certain networking behavior: are visiting some subset of web pages, are members of given groups on social networks, are using another Internet tools like Skype. User obviously keeps his behavior even in case of traveling where the user is presented under various IP addresses. The goal of this work is to study possibilities of user identification based on his/her communication practice. That means e.g. (but not only) visited web pages, duration of staying on given web page, order of web pages visited, etc. It is necessary to take into account varying connection speed and any other parameters which might influence quantitative description of user behavior. Next goal of this work is to estimate the probability of correct user identification based on his/her networking behavior.

    Tutor: Zeman Václav, doc. Ing., Ph.D.
  66. Virtualization of network functions and services

    Trend of modern data networks is characterized by transition from specialize hardware based network components towards components based on powerful unified hardware that can be customized by software and its configuration to particular network function. Thanks to virtualization platforms it is possible to introduce it in distributed form. The goal of PhD thesis is to make research of potential of network function virtualization, and design of new network applications.

    Tutor: Novotný Vít, doc. Ing., Ph.D.

Course structure diagram with ECTS credits

Year of study 1, winter semester

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

Optional specialized
FEKT-DET1 Electrotechnical materials, material ... cs  4  winter OS DrEx   yes
FEKT-DEE1 Mathematical Modelling of Electrical ... cs  4  winter OS DrEx   yes
FEKT-DME1 Microelectronic Systems cs  4  winter OS DrEx   yes
FEKT-DTK1 Modern network technologies cs  4  winter OS DrEx   yes
FEKT-DRE1 Modern electronic circuit design cs  4  winter OS DrEx   yes
FEKT-DFY1 Junctions and nanostructures cs  4  winter OS DrEx   yes
FEKT-DTE1 Special Measurement Methods cs  4  winter OS DrEx   yes
FEKT-DMA1 Statistics, Stochastic Processes, Ope... cs  4  winter OS DrEx   yes
FEKT-DAM1 Selected chaps from automatic control cs  4  winter OS DrEx   yes
FEKT-DVE1 Selected problems from power electron... cs  4  winter OS DrEx   yes
FEKT-DBM1 Advanced methods of processing and an... cs  4  winter OS DrEx   yes

General knowledge
FEKT-DJA6 English for post-graduates cs  4  winter GK DrEx   yes
FEKT-DRIZ Solving of innovative tasks cs  2  winter GK DrEx   yes
FEKT-DEIZ Scientific publishing A to Z cs  2  winter GK DrEx   yes
 


Year of study 1, summer semester

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

Optional specialized
FEKT-DTK2 Applied cryptography cs  4  summer OS DrEx   yes
FEKT-DMA2 Discrete Processes in Electrical Engi... cs  4  summer OS DrEx   yes
FEKT-DME2 Microelectronic technologies cs  4  summer OS DrEx   yes
FEKT-DRE2 Modern digital wireless communication cs  4  summer OS DrEx   yes
FEKT-DTE2 Numerical Computations with Partial D... cs  4  summer OS DrEx   yes
FEKT-DFY2 Spectroscopic methods for non-destruc... cs  4  summer OS DrEx   yes
FEKT-DET2 Selected diagnostic methods, reliabil... cs  4  summer OS DrEx   yes
FEKT-DAM2 Selected chaps from measuring techniques cs  4  summer OS DrEx   yes
FEKT-DBM2 Selected problems of biomedical engin... cs  4  summer OS DrEx   yes
FEKT-DEE2 Selected problems of electricity prod... cs  4  summer OS DrEx   yes
FEKT-DVE2 Topical Issues of Electrical Machines... cs  4  summer OS DrEx   yes

General knowledge
FEKT-DJA6 English for post-graduates cs  4  summer GK DrEx   yes
FEKT-DCVP Quotations in a research work cs  2  summer GK DrEx   yes
FEKT-DRIZ Solving of innovative tasks cs  2  summer GK DrEx   yes
 


Year of study 1, both

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

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