prof. Ing. Martin Hartl, Ph.D.

1. Analysis and prediction of local DNA structures.

   Working on a given topic represents DNA sequence analysis with focus on large volumes of data that will include required algorithms for prediction of structures like triplexes, quadruplexes and for protein motifs analyses with reporting and visualization tools. Proposed software will be implemented as a web service and will be used for characterization and evaluation of the local DNA structures in DNA sequences with the focus to possibility to analyse whole genomes and different local DNA structures.

   Tutor: Šťastný Jiří, prof. RNDr. Ing., CSc.

2. Modelling of population evacuation in risk zones

   With the development of industry and the construction of large units, the potential danger to the population from accidents increases. Linked to this is the need to develop plans to evacuate the population in disaster-stricken areas. In general, two cases can be distinguished where a sufficient number of means of transport must be available to evacuate all residents in the shortest possible time for evacuation; in a less critical case, the population can be gradually withdrawn with small amount of resources. The aim of this work is to model transport operations during evacuation and minimize its completion taking into account all restrictive conditions in relation to the area and the level of risk, such as population density, number and capacity of means of transport, distance of collection points etc.

   Tutor: Šeda Miloš, prof. RNDr. Ing., Ph.D.

3. Optimisation of Serviceability in Network Applications

   In applications that serve locations deployed in a large area for certain customer service, it is a typical task to minimise these locations so that each customer has at least one of the centers at the available distance. The problem of coverage for this task has O (2 ^ n) complexity, where n is the number of given places and it is necessary to solve it by heuristic methods for the "large" instances of the problem. However, the task has even more complex formulations considering service capacities and customer requirements. In the dissertation the aim is to apply a general problem solving in the problems of communication of 5G mobile networks and data storage in NoSQL databases.

   Tutor: Šeda Miloš, prof. RNDr. Ing., Ph.D.

4. Proactive multiparametric on-line diagnostics of electrical drives of machinery

   The topic of the dissertation thesis is focused on a complex solution of multiparametric on-line diagnostics of electrical drives of machinery, authoritative evaluation of acquired data, storage in the Internet of Things and subsequent active processing of data with feedback impact on electric drives and machinery. The dissertation will be practically verified in the selected company.

   Tutor: Hammer Miloš, doc. Ing., CSc.