Born in Ukraine raised in Greece, Elina Charatsidou studied Physics (BSc) at AUTh Aristotle University of Thessaloniki, Greece, specializing in Nuclear Physics. She acquired her master's degree in Nuclear Energy Engineering (MSc) in June 2020 from KTH Royal Institute of Technology in Stockholm, Sweden.
During the first half of 2020, she conducted her master's thesis at Westinghouse Electric Company in Västerås, Sweden, at 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 work can be extended for any reactor type or fuel material and under any conditions; therefore, its versatility makes it attractive for 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.
Having completed her MSc at KTH, she aspired to research studies in nuclear physics, engineering and materials science, mainly focusing on advanced nuclear fuel development. Elina believes that substantial research is still to be conducted on new types of reactors, especially Generation IV SMRs before they are ready to be constructed, commissioned, and rendered commercially available.
Therefore, she has been working as a Ph.D. researcher at KTH and as a part of the SUNRISE centre since January 2021. Her Ph.D. work focuses on the fabrication, characterisation, testing and modelling of Uranium Nitride (UN) nuclear fuel.
Her academic interests cover a wide range of subjects, mainly 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 hers is data analysis and machine learning, and incorporating these two into the nuclear field to promote efficiency, automation, and minimization of the human error factor.
Last but not least, Elina's passion lies in public education and acceptance of nuclear energy. She actively works on reaching out to the public through her YouTube channel, and discusses matters related to nuclear power, energy, reseach and more, with the goal of informing people of the latest updates in the field as well as provide credible information regarding nuclear physics and engineering, easily understood by non-experts, aiming at, promoting the knowledge around the field, braking myths and educating to make the public able to make their own informed decisions on topics of nuclear energy.
Your friendly nuclear physicist
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