This project aims to improve the language skills of the FEI employees by implementing study support in English into the teaching.

This project focuses on the research and development of a gallium-nitride semiconductor based microwave power amplifier for air traffic control, monitoring and surveillance radar systems. The project's goal is a fully-assembled, calibrated and validated modular microwave power amplifier. This project will also develop the technical accessories needed for easily integrating the amplifier into advanced surveillance radar systems The project will make obsolete silicon-based bipolar transistor microwave power amplifier technology.

This project aims to build a prototype ground station for passive evaluation of the azimuth and elevation of a transponder-equipped aircraft. The prototype will use current-generation programmable gate arrays (FPGA) and will be based on an adaptive, multi-beam MIMO antena system. It will provide independent information about the air traffic situation, augmenting the operational functionality of existing passive surveillance systems, ADS-B and MLAT. The ground station will support the implementation of the ADS-B system as the future's leading navigation technology and will help overcome its technical constraints such as jamming of the satellite navigation system and spoofing of ADS-B position information. The device will be designed for outdoor operation and suitable for use in the mobile systems.

Research and design of a prototype of a system for detection of small flying objects like unmanned air-vehicles (UAV, drones) or meteorological
balloons in controlled airspaces. The system is designed for civilian and military application. The system integration to the airport security systems
is possible. The digital processing of the received signals employ the most advanced technologies and components including FPGA circuits
enabling system functions further extension with minimum requirements to physical circuit modification.

This project will focus on the design and research of a universal FPGA platform using advanced processing methods for high-speed radar signal processing. New methods and algorithms of digital radar signal processing will be used for adaptive cancelation of distortion and suppression of clutter in signals with a complicated Doppler spectrum (for example, scattering from wind turbines). The detection range of remote low radar cross-section targets will be enhanced by increasing the radar's power output and by effeciencies gained through improved pulse compression. The new design will fulfill both the TMA and SRE operation requirements. The programmable gate arrays (FPGA) platform will be used simultaneously for fast digital communication.

The main goal of this project is research and develpment of a hardware platform, firmware and software needed for a functional ground based ADS-B and MLAT prototype receiver. The system will be able to receive, process and evaluate ADS-B messages broadcast by aircraft transponders, and all other replies sent in mode S and SSR.

The main goal of this project is research and development of a hardware platform with a firmware for a functional sample of ground based interrogator. The system will be able to transmit interrogations as well as receive and processs replies in modes 1, 2, 3/A, B, C, D and S.

The goal of this project is the realization of a personal microsystem named "SYMOD", for the monitoring of vital functions and for monitoring of the environment.

The objective of this project is to improve helicopter safety during the landing and take-off phases, with special focus on landing in unknown, and potentially dangerous, environments with poor visibility. To achieve this objective, the project will develop a system able to detect a wide arrray of obstacles in the vicinity of the helicopter. When the system detects obstructions, the system will alert the pilot and crew.

The goal of the project is to create an intelligent firewall application for industrial networks. This firewall will be part of the application, which will be communicating with the software defined networks controller.

The application will utilize principles of artificial intelligence specifically artificial neural networks. The firewall will work in two modes: learning and autonomous.

In autonomous mode the firewall will automatically perform filtering operations. These operations will include traditional ones (allow, deny) and more advanced ones as well (deep inspection on the application layer), message duplication, or flow classification for the QoS.