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Elina CharatsidouMSc

Physicist & Nuclear Engineer

From Greece, born in Ukraine, Elina Charatsidou studied Physics (BSc) at 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.

Having recently completed her studies at KTH, she 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 she believes that there is substantial research still to be conducted on new types of reactors, especially Generation IV reactor types 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 project since January 2021.

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. She believes that the nuclear industry's future lies on Generation IV technologies.

During the first half of 2020, she conducted her 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 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.

Python90%
MS Office 90%
Machine Learning80%
Data Analysis 80%
VASP70%
Serpent70%
MNCP60%
ATAT SQS 50%
Apros50%
Matlab/Simulink 50%
Mathematica40%
C30%
  • English
  • Russian
  • Greek
  • Ukrainian
  • Swedish
  • German
  • French

Professional Work HistoryTimeline

  • October 2022 - Present

    Teaching Assistant - KTH Royal Institute of Technology | Stockholm, Sweden

    Teaching assistant in the Nuclear Fuel Cycle course at KTH, in the Nuclear Energy Engineering Master’s Program.
  • July 2022 - Present

    Workgroups Manager at the Ph.D. Chapter Board of Directors - KTH Royal Institute of Technology | Stockholm, Sweden

    The workgroups manager is responsible for the coordination and communication of the working groups that might arise within the chapter. The workgroups manager represents the chapter at the Equality Committee at KTH, and coordinates communication between the board and the working groups.
  • Jan 2022 - Present

    PAD Ph.D. KTH Royal Institute of Technology | Stockholm, Sweden

    Ph.D. Student Representative for the Department of Physics at KTH. Participating during department and division management meetings, as well as organize and participate in educational workshops and social events.
  • May 2020 - Present

    Newsletter Editor - KTH Royal Institute of Technology | Stockholm, Sweden

    Editorial work for the newsletter of the School of Science, KTH. Performing interviews with university staff, students and alumni, planning monthly topics of discussion, writing and editing articles, formatting the appearance of the newsletters via web page design.
  • Jan 2020 - June 2020

    Master Thesis - Westinghouse Electric Company | Västerås, Sweden

    Thesis Title: A machine learning approach to the nuclear fuel fabrication process. Key Accomplishments: Innovative implementation of deep machine learning algorithms in the nuclear energy industry. Reducing human error during fabrication of nuclear fuel in the company. Increase fuel utilisation by optimising important parameters.
  • Sept 2018 - June 2016

    International Student Ambassador & Mentor for students with disabilities - KTH Royal Institute of Technology | Stockholm, Sweden

    Providing support and information to international students interested in applying for master's studies at KTH. Mentor's duties: Mentoring students with special needs, by organizing their schedule, study plan, and extracurricular activities.
  • Nov 2016 - Dec 2017

    Library Assistant - AUTh Aristotle University of Thessaloniki | Greece

    Working as an assistant at the Physics and Computer Science Library of the Aristotle University of Thessaloniki.
  • Oct 2016 - Dec 2016

    Translator - AUTh Aristotle University of Thessaloniki | Greece

    Translation of a manual of a photomultiplier, manufactured in Russia, for the Nuclear Physics and Elementary Particle Physics Department at AUTh
  • Oct 2014 - Jan 2017

    Tutor - Thessaloniki | Greece

    Teaching Physics, Mathematics, Chemistry, and Biology to primary school and high school students.

Education Background HistoryTimeline

  • 2021 - Present

    KTH Royal Institute of Technology | Stockholm, Sweden

    Ph.D. in Physics & Nuclear Engineering SUNRISE project
  • 2018 - 2020

    KTH Royal Institute of Technology | Stockholm, Sweden

    MSc in Nuclear Energy Engineering
  • 2013 - 2017

    Aristotle University of Thessaloniki | Greece

    BSc in Physics

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