The Team
This is our team. If you have questions about our research and education activities, or if you are interested in joining our team, you can contact us.
Associate Professor
Jiří Novák
Contact Email
jiri.novak@fel.cvut.cz
Bio
Jiří Novák was born in 1967. He received his master's and Ph.D. degree from the CTU in Prague, FEE, in 1990 and 2000 respectively. Since 1992 he works as an assistant professor and since 2010 as an associated professor at the Department of Measurement on the CTU in Prague, FEE. His teaching activities are focused on industrial distributed systems and computer networks and his research is focused on methods and instruments for testing of industrial (especially in-vehicle) distributed systems.
Assistant Professor
Jan Sobotka
Contact Email
jan.sobotka@fel.cvut.cz
Bio
Jan Sobotka was born in 1985. He received his master's degree from the CTU in Prague, FEE, in 2010 in the program Computer Science and Engineering, direction Digital Design. He received his Ph.D. degree in 2017. Jan has started gaining professional experience in 2008 by joining the Formula Students team CTU CarTech, which build the first student formula car in the Czech Republic for FSG 2009 competition. Since doctoral studies, he deals with the testing of automotive electronics systems. His activities are focused on communication systems testing (including FlexRay), test equipment development, and research connected to our projects. Also, he engages in teaching for Open Informatics and Cybernetics and Robotics study programs. He is a car enthusiast with a significant overview of the domain.
Ph.D. Student
Lukáš Krejčí
Contact Email
lukas.krejci@fel.cvut.cz
Bio
Lukáš Krejčí was born in 1990. He received his bachelor's and master's degree from the CTU in Prague, FEE, in 2012 and 2014 respectively. Since February 2015, he has been studying a branch of doctoral studies, which is called Measurement and Instrumentation, at the Department of Measurement on the CTU in Prague, FEE. His research activities are primarily focused on the areas of model-based testing, automotive distributed system and utilization of machine perception and machine learning in those areas.