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study programme
Original title in Czech: Soudní inženýrstvíFaculty: IFEAbbreviation: DSP SoI_PAcad. year: 2023/2024
Type of study programme: Doctoral
Study programme code: P0788D020001
Degree awarded: Ph.D.
Language of instruction: Czech
Accreditation: 1.8.2020 - 1.8.2025
Mode of study
Full-time study
Standard study length
4 years
Programme supervisor
doc. Ing. Bc. Marek Semela, Ph.D.
Doctoral Board
Chairman :doc. Ing. Bc. Marek Semela, Ph.D.Vice-chairman :prof. Ing. Leonard Hobst, CSc.Councillor internal :doc. Ing. et Ing. Martin Cupal, Ph.D. et Ph.D.prof. Ing. Jiří Mišurec, CSc.doc. Ing. Robert Kledus, Ph.D.prof. Ing. Jana Korytárová, Ph.D.doc. Ing. Radek Knoflíček, Dr.prof. Ing. Karel Pospíšil, Ph.D., LL.M.prof. Ing. Vladimír Adamec, CSc.prof. Ing. Rostislav Drochytka, CSc., MBA, dr. h. c.Councillor external :Ing. Dagmar Vágnerová Linnertová, Ph.D.Ing. Jindřich Frič, Ph.D.doc. Ing. Zora Petráková, PhD.doc. RNDr. Mgr. Petr Adolf Skřehot, Ph.D., MSc.
Fields of education
Issued topics of Doctoral Study Program
...
Tutor: Bilík Martin, Ing. et Ing. Bc., Ph.D.
Tutor: Bucsuházy Kateřina, Ing. et Ing., Ph.D.
Tutor: Kledus Robert, doc. Ing., Ph.D.
The research will focus on the analysis of the current state in the field of project development prediction. The main goal of the dissertation is to design and verify a new model respectively methodology for project development predicting in order to minimize the risk of its failure, which will allow more effective project management.
Tutor: Doskočil Radek, doc. Ing., Ph.D., MSc
Roads degrade over time and thus their value decreases. This is either a natural process of deterioration due to the effects of planned traffic loads or weather conditions or, in some cases, a process associated with loads that were not planned. In particular these are loads arising, for example, from the diversion of temporarily closed sections of motorways or congested roads or from the effects of exceptional natural events (floods, landslides, etc.). Road authorities have practically no tool to determine the value of the managed network. Therefore, they do not know how much of the network value is lost if subject to excessive wear and tear. The owner has no clear criterion for the quality of the authority's performance in terms of the evolution of the value of the managed network. The dissertation topic should fill the described gaps. A way to determine the current or predicted value of a pavement, bridge or other objects on the road infrastructure should be found. For this purpose, modern approaches should be used, especially BIM and the pavement management system, which we understand as a dynamic component of BIM.
Tutor: Pospíšil Karel, prof. Ing., Ph.D., LL.M.
Tutor: Bradáč Albert, Ing., Ph.D.
Tutor: Vágnerová Linnertová Dagmar, Ing., Ph.D.
Elements of transport infrastructure are exposed to a specific environment. Among the most significant factors that locally affect the aggressiveness of the environment in the vicinity of roads are carbonation, chloride ion deposition, cyclic freezing and thawing, and combinations thereof. These processes interact significantly with each other, but in real practice they are considered separately. Studying the synergistic effect of these processes could help to better estimate the durability of structures.
Tutor: Hrabová Kristýna, Ing. et Ing., Ph.D.
The topic is focused on research of a suitable method for identification, analysis and evaluation of risks, their management including proposals for risk measures in smart grids. In the theoretical part, the student analyzes the currently used methods for identification, risk assessment, including the importance of vulnerabilities and the parameters that are utilized in these methods. The main contribution the work will be the design and implementation of the method, including verification of functionality. The main contribution of the method is a more efficient way of prioritizing vulnerabilities and therefore the implementation of countermeasures is realized in more effective way in smart grids.
Tutor: Martinásek Zdeněk, doc. Ing., Ph.D.
Tutor: Maxera Pavel, Ing., Ph.D.
Tutor: Cupal Martin, doc. Ing. et Ing., Ph.D. et Ph.D.
Tutor: Fujdiak Radek, doc. Ing., Ph.D.
The aim of the dissertation will be to propose a methodology for predicting the development of the residential market. The methodology of the work will be based mainly on the application of methods of classical statistics in combination with robust statistical methods or fuzzy logic, or genetic algorithms. Appropriate indicators from the area of macroeconomic, socio-economic, political, environmental and other indicators will be chosen as factors influencing the development of the residential market. The results of the work will then be formed into an expert and appraisal environment and thus into practice.
Tutor: Škapa Stanislav, prof. Ing. et Ing., Ph.D.
The research will focus on the analysis of the current state of risk management and quality. The main goal of the dissertation is to design a risk management system (methodology) as part of an integrated quality management system with regard to the specifics of the selected industry.
Tutor: Semela Marek, doc. Ing. Bc., Ph.D.
Valuation of transport infrastructure assets, such as roads and bridges, brings several differences in comparison with the valuation of buildings or other assets. In general, transport infrastructure assets are neither commonly traded nor the subject of supply and demand. Nevertheless, for accounting reasons, for reasons of damages, etc., it is necessary to be able to value them. There are two dissertation aims, i.e., to solve selected aspects of the valuation of the specific kind of property and to contribute to the subsequent creation of an expert standard, the absence of which is felt in the practice.