Dipl.-Ing. Karim Armanious

UKT is a joint partner in PhD research.

Generative Adversarial Networks for Medical Image Processing: conducting research related to the development and optimization of novel Deep Learning techniques for the analysis of MRI, CT and PET medical images.

Implementation of Cognitive Functions for High Interference Robustness with OFDM Radar Grade: 1.0 (A) - Development of novel waveform adaptation techniques for interference mitigation and avoidance in the automotive sector - Efficient approaches for spectrum sensing and interpretation have been developed to overcome the current state-of-the-art limitations and realize the overall concept of a cognitive radar - The above has led to filing a patent report including the novel developed techniques

Minimization of WPT antenna for mobile phones : The main motivation of the research project was to minimize the volume occupied by WPT antenna (diameter, thickness) for thinner and lighter mobile phones.

- Designing a monitoring system for a production area as a part of a team of two - Analyzing all failures in the production area and proposing a system of sensors to monitor the production area’s critical parameters and all possible causes of downtime - Cooperating with other international branches, who have implemented similar monitoring systems, for their insight and feedback on the proposed system - Contacting local and international suppliers to provide a cost estimate for the system

Grade: 1.1, Graduated top of class, Very Good with Distinction Statistical signal processing, detection and pattern recognition, concepts of programming languages, IT service management

Throughput Lifetime trade-offs in Wireless Sensor Networks Grade: 1.3 (A) - MATLAB simulation of a wireless sensor network including the physical layer model, routing and layering techniques used and the link conflict model

Wireless communication, telecommunication, antenna systems, high frequency technology