Karel Bartos is a researcher at Cognitive Threat Analytics, Cisco Systems. His research focuses mainly on classification of the network traffic, data fusion, and sampling. Prior to Cisco, Karel was a researcher at Czech Technical University in Prague and CESNET, z.s.p.o developing a NetFlow-based anomaly detection system. Karel Bartos holds master degree in Software development at the Faculty of Nuclear Sciences and Physical Engineering of the Czech Technical University in Prague. Currently he is pursuing his PhD at the Department of Computer Science of Czech Technical University in Prague.