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Faculty of Engineering and Information Technology
University of Pécs
Faculty of Engineering and Information Technology

Symbolic Methods in Material Testing and Tomography Research Team

Name of the research team:
Symbolic Methods in Material Testing and Tomography Research Team
Name of the institute hosting the research team:
Institute of Information and Electrical Technology, Institute of Smart Technology and Engineering

Head of the research team and their academic qualification:
Name Academic Qualification Status Department
Prof. Dr. Mihály Klincsik PhD associate professor Department of Technical Informatics
Members of the research team:
Name Academic Qualification Status Department
Dr. Zoltán Sári PhD associate professor Department of Technical Informatics
Zoltán Vizvári PhD student research assistant Department of Environmental Engineering
Dr. Attila Tóth PhD associate professor Medical School, Institute of Physiology
Scope of the research team:
Our research team, using a completely new methodology, develops symbolic methods for evaluating multi-frequency electrical impedance tomography measurements.
Research objectives of the research team
It is important for the measurement solutions which our research team developed, in addition to producing good quality data, to use appropriate models which are supported by physical and even biological evidence. Our research team has succeeded in producing symbolic methods that, in addition to fitting the data mathematically, produce physically useful information (material properties) by considering the dielectric properties of the materials tested.

In the context of image reconstruction, a completely new symbolic method based on a numerical procedure is being developed in-house. With this method, at the simulation level we have achieved a higher resolution and sensitivity than previously documented in scientific literature. Our goal is to extend out symbolic measurement evaluation methods to where it can be practically applied in the field of material testing and tomography.
Education, Research, and Innovation graph



2020 - 2023 MTMT data
Prof. Dr. Mihály Klincsik
Dr. Zoltán Sári
Zoltán Vizvári