Filip Němec - GÉANT Community

Filip Němec

Filip is a system engineer and researcher specialising in network monitoring, automation, and high-bandwidth networking. He currently works at Czech TV, where he focuses on designing critical broadcast infrastructure and integrating time-sensitive systems using modern networks.

Filip is also pursuing a Ph.D. in Informatics at FIT CTU in Prague, with research centered on decentralised network monitoring, machine-learning-assisted analysis, and robustness prediction in complex networked environments. He holds a master's and bachelor's degree in mathematical physics from FNSPE CTU, where he studied quantum systems.

Filip's participation in the Future Talent Programme 2025 was supported by CESNET.

To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.

Functional Always active

The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.

Preferences

The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.

Statistics

The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.

Marketing

The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.