Ing. Daniel Vašata, Ph.D.

2022 - 2025

The project researches new methods of effective protection against cyber threats that misuse secured communication for cyber attacks against servers and computers in the environment of high-speed networks. Based on available metadata, the project will investigate Machine learning methods suitable for determining the characteristics of the encrypted network flows and associated risks. The system will be implemented using a hardware-accelerated traffic monitor and a software prototype for high-speed detection of security incidents, which will be reported to the SIEM tool. Further, a plug-in to the QRadar system for the incident analysis will be developed. The project outcomes will also include reference data sets of network traffic and a system for their collection and annotation.

2024 - 2027

S: The project aims to develop a technical and economic solution for providing energy flexibility by connecting electric cars with the electricity grid – Vehicle to Grid (V2G). M: The research will be based on charging station's real data use and the distribution grid load. The output will be proven technology for the successful commercial application of V2G. A: The goals are based on the current status and our experience with VaVaI projects and commercial applications of new technologies. R: Research will expand current projects and refine predictions using machine learning methods. It is based on the market and the government's sustainability and electromobility development needs. T: The project will be conducted according to a detailed schedule and will be completed in 2025.