Applied research and experimental development in the field of mathematical and statistical techniques, artificial intelligence and machine learning for engineering applications in radar technology, manufacturing technology, biomedicine and transport
Provider: Univerzita Pardubice
Programme: Studentská grantová soutěž
Implementation period: 01.01.22 - 31.12.22
Workplace:
Fakulta elektrotechniky a informatiky - FEI
Investigator: Dušek František
Description:
The scope of the project is focused on the unification of scientific research activities of PhD students at the Faculty of Electrical Engineering and Informatics in the year 2022. Selected research and development tasks focused on signal processing in radar technology, simulation of transport systems, decision support in transport models, parallel genetic algorithms, automatic control of technological processes, inspection and quality control, processing and evaluation of biomedical data, as well as modern trends in software development will be addressed. Within the project team there are three sub-teams with defined scope and a responsible sub-project leader, who is always a PhD student at the Faculty of Electrical Engineering and Informatics. The work of the sub-teams is intensively supervised by the principal investigator.
The scope of the project is focused on the unification of scientific research activities of PhD students at the Faculty of Electrical Engineering and Informatics in the year 2022. Selected research and development tasks focused on signal processing in radar technology, simulation of transport systems, decision support in transport models, parallel genetic algorithms, automatic control of technological processes, inspection and quality control, processing and evaluation of biomedical data, as well as modern trends in software development will be addressed. Within the project team there are three sub-teams with defined scope and a responsible sub-project leader, who is always a PhD student at the Faculty of Electrical Engineering and Informatics. The work of the sub-teams is intensively supervised by the principal investigator.
