The faculty supports its students in science and research every year with the VýLeT programme. Students work on an independent research task in collaboration with a mentor, with whom they also prepare a journal article or a paper for a scientific conference. In this way, students can engage in science and research and receive exceptional financial rewards.
FIT CTU currently holds the seventh edition of the VýLeT 2023 programme. The previous year was successfully completed with 11 awarded scholarships. One of them was awarded to a Master's student of Knowledge Engineering Bc. Juraj Kmec for his project Challenges in modelling train evacuation using Pathfinder. In research under the guidance of Ing. Pavel Hrabák, Ph.D., he dealt with problems that engineers may encounter when modelling train evacuations in the Pathfinder simulator. The research resulted in the identification and analysis of key factors that have a significant impact on the evacuation process. The resulting research paper was accepted at the International Fire and Evacuation Modeling Technical Conference (FEMTC).
"The modelling was based on data collected during the experimental evacuation of the CityElefant train in 2018, which was organised by Faculty of Civil Engineering as part of fire safety research. My contribution consisted mainly in automating the simulation process with an emphasis on controlling individual sources of randomness (passenger characteristics, initial disposition of passengers, etc.) and analysing the effects of randomness on the total evacuation time depending on different types and widths of exits," says Juraj Kmec about his research.
As the project was comprehensively focused on confined spaces, it can be assumed that the results will also be applicable to similar geometries such as aircraft or buses. The research will refine the modelling of evacuation drills in practice, which will then lead to easier evacuation of objects in real life.
Another research, which was highly rated last year, was conducted by Bc. Jan Pokorný, a student of the last year of his Master's degree programme in Theoretical Informatics. He dealt with the design and analysis of parameterized algorithms for so-called microaggregation of data. This can be encountered when it is necessary to provide third party with certain data, for example about users of an application, while maintaining anonymity.
"The research will contribute to the anonymization of data in, for example, social networks, when it is necessary to publish datasets with the most relevant information while maintaining privacy of their users," adds Jan Pokorný to his research.
The scientific paper The Parameterized Complexity of Network Microaggregation was presented by Jan Pokorný at the prestigious international conference AAAI 23, which is considered one of the most important conferences in the field of artificial intelligence with the highest A* rating.
More info on the programme at:
https://fit.cvut.cz/cs/zivot-na-fit/aktualne/pravidelne-akce/11244-vyzku...
