Ing. Vít Škvára [ PhD Student

Place: Tokamak Building, Office: G 016
Tel.: (+420) 266 053563
Email: skvara@ipp.cas.cz

Education

Master's degree
Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Prague
Stochastic model of plasma boundary of a tokamak and its estimation

Supervised students

Research projects

2018-2020	Hierarchical models for detection and description of anomalies participant Provider: GAČR; Project ID: 18-21409S
2017-2019	T17-15 equilibrium task participant Provider: Eurofusion; Project ID: 633053

List of Publications


2022	Zorek M., Škvára V., Smidl L., Pevný T., Seidl J., Grover O.: Semi-supervised deep networks for plasma state identification. Plasma Physics and Controlled Fusion 64 [12] (2022) č. článku 125004. [ Abstract ] [ Link ]
2020	Škvára V., Šmídl V., Pevný T., Seidl J., Havránek A., Tskhakaya D.: Detection of Alfvén Eigenmodes on COMPASS with Generative Neural Networks. Fusion Science and Technology 76 [8] (2020) 962-971. [ Abstract ] [ Link ]
2018	Vít Škvára, Václav Šmídl, Jakub Urban: Robust sparse linear regression for tokamak plasma boundary estimation using variational Bayes . Journal of Physics: Conference Series, Volume 1047, conference 1, 2018 [ Abstract ] [ Link ] [ DOI ]
2017	Škvára V., Šmídl V., Urban J.: Robust sparse linear regression for tokamak plasma boundary estimation using variational Bayes. IOP Science, 2018. Journal of Physics: Conference Series, 1047. ISSN 1742-6588. E-ISSN 1742-6596. In: Journal of Physics: Conference Series. Vol. 1047. Bristol: IOP Publishing Ltd, 2018, č. článku 012015. ISSN 1742-6596. [ Abstract ] [ Link ] [9th International Conference on Inverse Problems in Engineering. Waterloo (CA), 23.05.2017-26.05.2017]
2015	Vít Škvára, Václav Šmídl, Jakub Urban: On-line Model Structure Selection for Estimation of Plasma Boundary in a Tokamak. Journal of Physics: Conference Series, Volume 659, conference 1, 2015 [ Abstract ] [ Link ] [ DOI ]