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.

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.

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.

prof. Ing. Zdeněk Smékal, CSc.

1. Box Particle Techniques

   The particle filter is a computationally feasible technique for sequential Bayesian estimation in arbitrary nonlinear/non-Gaussian scenarios. The box particle filter is a recent variant of the particle filter with significantly reduced complexity. The goal of this thesis is to develop a distributed version of the box particle filter, and to investigate the application of box particle techniques to belief propagation message passing and/or to Bayesian filters based on random finite sets, such as the PHD filter or the multi-Bernoulli filter.

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

2. 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.

3. Design of distributed systems protection

   The aim is to analyse the aspects of protection in a frame of distributed systems and their algorithms with an emphasis on a potential safety risk. The design and optimization of new protection techniques for these systems is expected on the basis of obtained observation. Optimization involves the proposals of both mechanisms to improve the distributed systems and the procedures to either minimize or prevent the negatives effects affecting the functions of such is expected to propose the mathematical tools to describe the novel mechanisms. It is supposed to simulate or experimentally verify the functionality of the proposed solutions.

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

4. Environmental Noise Monitoring and Assessment

   Environmental noise is a worldwide problem that persists even in areas where extensive resources have been used for regulating, assessing and damping noise sources or for creation of noise barriers. Environmental noise protection requires making measurements in the field, assessing noise from specific sources, calculating expected noise levels, and mapping noise levels. The aim of this doctoral thesis is research of a new concept of permanent monitoring and assessment of environmental noise with identification of the noise sources and interactive mapping that uses modern wireless sensor networks with real-time monitoring and data visualization. The thesis topics comprise research and implementation of the noise analysis algorithms and design of a noise sensor hardware as well.

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

5. 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.

6. Novel methods of biological signals extraction from medical images

   The theme is focused on processing of static, dynamic or three-dimensional images produced by different medical acquisition techniques, namely the output of the sonographic examination, body slices acquisition using the magnetic resonance etc. The goal is to improve properties of single images, their segmentation, 2D object recognition, quantification of different object parameters, their dynamic or spatial analysis, or eventual 3D model reconstruction. The main result of the work will be a proposal of a novel method being utilizable for solving of concrete diagnostic problems in cooperation with doctors.

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

7. Novel methods of incomplete spatial information analysis in digital images

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

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

8. Object-Based Audio Processing

   In an object-based audio system, the different sound elements are bundled with metadata to form audio objects. This metadata then describes how the sound element should be reproduced to the listener, by defining its position in the 3D field, regardless the sound reinforcement system. Currently there are a number of approaches for positioning the audio objects, particularly ambisonics, VBAP, DirAC, and wavefield synthesis. Each of them has its advantages and disadvantages. The aim of this doctoral thesis is to analyze the possibilities of using these methods in real installations and to design and test new algorithms for positioning audio objects in 3D space.

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

9. 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.

10. Spatiotemporal Room Analysis

    The spatiotemporal visualization method display the cumulative development of the sound field as a function of direction by forward-integrating the energy in the impulse response in short time frames. The motivation for the approach is the presentation of spatial sound field of listening rooms in format that enables quick comparison between rooms and emphasizes subjectively important aspects of the room.The aim of this work is to find new objective metrics using the spatiotemporal analysis and compare them with the subjective assessment of the quality of the listening room.

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