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Christian Kanarski, Karolin Krüger and Tobias Schmidt (on the picture from left to right) are joining the DSS team as new PhD students. Christian starts with the research on hydroacoustic methods for backscattering object detection in the sea column (e.g. gas bubbles) with the use of MIMO-SONAR, orthogonal signals and adaptive Doppler analysis for pattern recognition of backscattering object properties. Deep-learning approaches such as reinforcement learning are also investigated for autonomous control of the cognitive SONAR system.
Karolin continues and expands her research about objective speech analysis from her master’s thesis. The developed tool should assist speech therapists in evaluating patients suffering from dysphonia. In the future the analysis should be complemented by a training application to complement therapies by offering the opportunity for a computer-based training at home.
Tobias starts to research about the simulation of different magnetic sources. In the further course the work is about the localization of a magnetic sensor in a predefined magnetic field. The developed application can be used for example to determine the position and orientation of medical devices such as "system control gloves".