Elina Charatsidou

Physicist & Nuclear Engineer
Elina Charatsidou MSc

Elina Charatsidou MSc

Physicist & Nuclear Engineer

I am Elina, a 26-year-old student from Greece, born in Ukraine. I studied Physics (BSc) at Aristotle University of Thessaloniki, Greece, specializing in Nuclear Physics. I acquired my master’s degree in Nuclear Energy Engineering (MSc) in June 2020 from KTH Royal Institute of Technology in Stockholm, Sweden.

Having completed my studies at KTH recently, I aspired to pursue an academic career (Ph.D.) following research studies in Nuclear Physics and Engineering, mainly regarding nuclear fuel development. The reason for that is the fact that I believe that there is substantial research still to be conducted in new types of reactors, especially in Generation IV reactor types, before they are ready to be constructed, commissioned, and rendered commercially available.

Therefore I work as a Ph.D. researcher at KTH and as a part of the SUNRISE project since January 2021.

My academic interests cover a wide range of subjects, mainly revolving around researching and developing new nuclear fuels and enhancing the properties and potentials of existing nuclear fuels and fuel fabrication processes for better fuel utilization and a more efficient fuel manufacturing process. Another academic interest of mine is data analysis and machine learning, and the incorporation of these two into the nuclear field for promoting efficiency, automation, and minimization of the human error factor. I believe that the future of the nuclear industry lies on Generation IV technologies.

During the first half of 2020, I conducted my master thesis at Westinghouse Electric Company in Västerås, Sweden, in the fuel fabrication factory, under an innovative and promising project, introducing deep machine learning (neural networks) applications to render the fabrication process more efficient and less time-consuming (thesis). The data analysis and machine learning were performed using Python and TensorFlow. The work can be extended for any reactor type or fuel material, and under any conditions; therefore, its versatility is making it attractive for both research and industrial applications. Being the first to create and apply such algorithms in Westinghouse Electric Company AB in Sweden motivated me to keep working on data analysis for nuclear fuel-related research.