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	candidate of sciences	professor emeritus	Department of Technical Informatics

Members of the research team:

Name	Academic Qualification	Status	Department
Dr. Zoltán Sári	PhD	associate professor	Department of Technical Informatics
Dr. Zoltán Ákos Vizvári	PhD	research fellow	Department of Environmental Engineering
Dr. Attila Tóth	PhD	associate professor	Medical School, Institute of Physiology
Prof. Dr. Róbert Kersner	DSc	professor emeritus
Dr. Odry Péter	PhD
Dr. Vladimir Tradic	PhD

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

MTMT data

Prof. Em. Klincsik Mihály

Dr. Sári Zoltán

Vizvári Zoltán

Dr. Tóth Attila

Prof. Dr. Kersner Róbert

Dr. Ordy Péter