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Original title in Czech: Výpočetní technika a informatikaFITAbbreviation: DVI4Acad. year: 2017/2018
Programme: Computer Science and Engineering
Length of Study:
Accredited from: 30.6.2007Accredited until: 31.12.2020
Profile
The goal of the doctoral study programme is to provide outstanding graduates from the MSc study programme with a specialised university education of the highest level in certain fields of information technology, including especially the areas of information systems, computer-based systems and computer networks, computer graphics and multimedia, and intelligent systems. The education obtained within this study programme also comprises a training and attestation for scientific work.
Key learning outcomes
Guarantor
prof. RNDr. Milan Češka, CSc.
Issued topics of Doctoral Study Program
Tutor: Jaroš Jiří, doc. Ing., Ph.D.
The topic focuses algorithms of computer graphics and generally computer image synthesis. Its main goal is to research algorithms so that their features and application possibilities are better understood, so that they are deeply analyzed, so that they are improved or newly created, and so that they are efficiently implemented e.g. in CPU, in CPU with acceleration through SSE instructions, in embeded systems, in embedded systems with FPGA, or in other systems, such as x86/64, ARM, Xeon PHI, or other cores. Algorithms of interest include 3D model processing and acquisition. The programming work is expected in C, C++, C#, assembly language, CUDA, OpenCl, VHDL, or other. The algorithms of interest include:
After mutual agreement, individually selected algorithms can be considered as well as soon as they do belong to the general topic.
Tutor: Zemčík Pavel, prof. Dr. Ing., dr. h. c.
Tutor: Sekanina Lukáš, prof. Ing., Ph.D.
Tutor: Zendulka Jaroslav, doc. Ing., CSc.
Tutor: Kunovský Jiří, doc. Ing., CSc.
Tutor: Matoušek Petr, doc. Ing., Ph.D., M.A.
Tutor: Zbořil František, doc. Ing., Ph.D.
The topic focuses algorithms of image and video processing. Its main goal is to research algorithms so that their features and application possibilities are better understood, so that they are deeply analyzed, so that they are improved or newly created, and so that they are efficiently implemented e.g. in CPU, in CPU with acceleration through SSE instructions, in embeded systems, in embedded systems with FPGA, or in other systems. The programming work is expected in C, C++, C#, assembly language, CUDA, OpenCl, or VHDL. The algorithms of interest include:
Tutor: Hanáček Petr, doc. Dr. Ing.
Tutor: Herout Adam, prof. Ing., Ph.D.
Tutor: Vašíček Zdeněk, doc. Ing., Ph.D.
The goal of the work is to research and create algorithms that will allow for running augmented reality on mobile (ultramobile) devices. It mainly concerns algorithms of pose estimation in the space by the means of computer vision and by using sensors embedded in the device. Furthermore, the work will elaborate on algorithms of rendering of virtual elements into the real-world scene and on applications of augmented reality on mobile devices.
Tutor: Vojnar Tomáš, prof. Ing., Ph.D.
Tutor: Kolář Dušan, doc. Dr. Ing.
Tutor: Zbořil František, doc. Ing., CSc.
Tutor: Hruška Tomáš, prof. Ing., CSc.
Tutor: Meduna Alexandr, prof. RNDr., CSc.
Modern operating systems (OS) must meet many requirements not only in terms of flexibility and efficiency of their execution on recent computing platforms, but also in terms of dependability of their kernels and services they provide to the application layer. The aim of the project is:
The project can be oriented into various directions, such as low-power applications / OS or application / OS designed to run in an embedded or a multi-core environment. During the project, a "conventional" OS such as Unix, Linux, Android, Windows, iOS or a specialized OS such as QNX, uC/OS-I (II, III), FreeRTOS, MQX can be utilized.
Tutor: Strnadel Josef, Ing., Ph.D.
Tutor: Drahanský Martin, prof. Ing., Ph.D.
Tutor: Růžička Richard, doc. Ing., Ph.D., MBA
Tutor: Janoušek Vladimír, doc. Ing., Ph.D.
Tutor: Smrž Pavel, doc. RNDr., Ph.D.
Tutor: Fučík Otto, doc. Dr. Ing.
Speech recognition systems are nowadays rarely used alone, but are parts of more complex data processing chains, both in military-security and business scenarios. Typically, they are integrated with a machine translation system and the following data-mining, for example topic detection, sentiment/emotion analysis or business data extraction. As many of these systems are nowadays based on DNNs or their variants, there is a possibility of joint training of such system optimizing the final goal of the system. The proposal is related to ongoing EU H2020 project Bison, and US DARPA funded Lorelei project.
Tutor: Černocký Jan, prof. Dr. Ing.
Tutor: Burget Lukáš, doc. Ing., Ph.D.
Tutor: Kotásek Zdeněk, doc. Ing., CSc.
Tutor: Beran Vítězslav, doc. Ing., Ph.D.
The project deals with geo-localization of mobile devices in unknown environments using computer vision and computer graphics methods. The aim is to investigate and develop new image registration techniques (with geo-localized image database or 3D terrain model). The goal is an efficient implementation of proposed methods on mobile devices as well as search for additional applications in the area of image processing, computational photography, and augmented reality.
Tutor: Čadík Martin, doc. Ing., Ph.D.
Tutor: Burget Radek, doc. Ing., Ph.D.