Josef Koumar

Josef is a cybersecurity researcher at the forefront of Artificial Intelligence driven network defence. Based at CESNET and the Czech Technical University in Prague, he focuses on classifying encrypted traffic and mastering time-series forecasting to predict network anomalies before they manifest.

Josef builds autonomous systems, and is currently developing agentic pipelines that leverage Large Language Models (LLMs) to revolutionise how we detect and respond to modern threats. One of his achievements is publishing a paper in the journal Nature Scientific Data.

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.

Josef Koumar

Lightning Talk