KEIKY conducts research and development on the use of algorithms in a wide range of problem domains, from algorithms to improve target detection in radar to algorithms to optimize the measurement perfomance in small fibre measurements. Tools such as Matlab, Similink and Python are used for algorithm development and the automated implementation and verification of these alogorithms.
We conduct both fundamental and applied research targeting a wide range of applications using our knowledge and expertise in the areas of multivariable, nonlinear, optimal and model-predictive control theory, nonlinear estimation and nonlinear dynamical systems.
Our research in the area of signal processing encompasses a wide range of work in the areas of communications, sensing, estimation, localization, and speech and visual information processing. We explore novel approaches for signal acquisition and coding, methods to filter and recover signals in the presence of noise and other degrading factors, and techniques that infer meaning from the processed signals.
KEIKY has expertise in the area of physical systems modelling, with particular emphasis on measurement systems. With experience modelling systems and the environment for measurement using radar as well as experience modelling systems such a time of flight (ToF) mass spectrometry to gain a deeper understanding of the systems and hence improve the performance. Advanced statistical techniques, knowledge of physics, electronics, fluid mechanics and kinematics are some of the areas all melded to develop advanced system models.