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FEKTAbbreviation: PKA-TLIAcad. year: 2017/2018
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.
Guarantor
prof. Ing. Zdeněk Smékal, CSc.
Issued topics of Doctoral Study Program
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.
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)
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.
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.
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)
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.
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.
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.
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.
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
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.
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)