My research focuses on the microstructure and mechanical properties of innovative materials produced by advanced manufacturing methods. My aim is to understand how the microstructure of the material and, through this, its mechanical properties are influenced by the production conditions. I also aimed to investigate the deformation mechanisms of materials at different strain rates and temperatures, and to study the thermal stability of ultrafine and nano-sized metals.

My research has been carried out on materials that could play a crucial role in materials technology in the next few years. For example, ultrafine-grained metals produced by powder metallurgy, oxide dispersion strengthened steels, metallic foams and magnesium-LPSO alloys.

My research focuses on 2 major topics:

1) Digital and activity-based physics learning. This is about developing methods to make it easier for students to succeed in physics lessons - and related sciences - in larger numbers, regardless of gender. Research focuses on the use of Arduinos, research and learning logs.

2) Teaching physics using artificial intelligence. In this project, we are building and testing a software with large-scale experiments that can use machine learning to offer students individual ways of development by maximising the learning impact. The innovative idea is that the machine provides practice tasks based on the results of an input competency and professional test. It analyses the process and impact of practice and refines the developmental tasks. For many users, the algorithm sees through the correlations and thus learns the ideal development process.