Šorel
RNDr. Michal Šorel, Ph.D.
Details:
Michal Šorel received the M.Sc. and Ph.D. degrees in computer science from the Charles University in Prague, Czech Republic, in 1999 and 2007, respectively. From 2012 to 2013 he worked on a range of topics related to computer vision at the Heriot-Watt University in Edinburgh, Scotland and the University of Bern, Switzerland. Currently he is a research fellow in the Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic. He is a member of the IEEE. Michal Šorel has been a reviewer for the IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, and several other journals and conferences.
He organizes the Spring and Winter Schools of Image Processing, popular meeting points of students from several czech institutions involved in image processing research (see Seminars). He is also involved in the organization of the Prague computer science seminar.
Currently supervised theses and research projects
- Tereza Fucsiková, Detection of incorrect body posture while working at a computer from a video (research project)
- Emanuel Frátrik, Land use/land cover detection using Sentinel satellite data (diploma thesis)
Recent
- Václav Lamich, Cloud detection in satellite images using machine learning algorithms (master thesis, 2023)
- Antonín Čech, Soil moisture estimations from the optical data of Sentinel-2 satellites (Odhad vlhkosti půdy z optických dat družic Sentinel-2, research project, 2022)
- Dominik Rathan, Evaluation of sleep quality from infrared video (bachelor thesis, 2021)
- Emanuel Frátrik, Algorithms for image data processing from Sentinel satellites (bachelor thesis, 2021)
- Adam Novotný, Satellite data analysis using machine learning methods (master thesis, 2021)