General area information:
The research is conducted within the areas of interdisciplinary mathematical modelling and simulations, estimation, identification, optimization, advanced methods and structures for control systems, diagnostics and decision support. Research is carried out in various fields, including power systems, microwave, antenna engineering, hardware image processing, cryptography.
Research teams topics description:
Department of Microwave and Antenna Engineering (DMAE)
An important and strongly represented scientific area in DMAE is computational electromagnetics which uses electrodynamics and modern numerical methods for developing efficient analysis and design tools necessary in the microwave and antenna engineering.
Department of Microelectronic Systems:
Research is focused on: modeling, design, optimization and practical realization of semiconductor devices, modeling, design, optimization and practical realization of analog and digital integrated CMOS circuits, hardware implementation of image processing algorithms, artificial intelligence, evolutionary algorithms, hand software realization of cryptographic algorithms.
Automation, robotics and biocybernetics - Computational intelligence
The research focuses on developing and application of methods of artificial intelligence with a special attention on deep neural networks for decision support, classification, diagnostic and process modelling. The examples of research concern developing the methods of explainable AI (XAI) to help to make models more interpretable for system designers and more trustworthy for the end-users, to avoid the effects of bias in the dataset on predictions, to extract new knowledge from datasets. The research team has experience in employing deep learning methods to analyse 2D and 3D medical images such as skin lesions images, the fundus of the eye or 3D brain scans. Moreover, the team works on methods on neural architecture search, to optimize the deep neural structures to fit best the neural structure to features of the given process or dataset. Another important research issue is the development and use of recurrent neural networks for modelling dynamical plants and processes and for early fault and anomalies detection and diagnosis.
Keywords:
computational intelligence, cryptographic algorithms, design optimization, hardware implementation of image processing algorithms, artificial intelligence, deep learning, evolutionary algorithms, decision support systems, faults detection and diagnosis, neural architecture search, recurrent neural networks, medical engineering.
