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Botond Mészáros

Personal

  • Place and date of birth: Zalau, 28th November 2000
  • Nationality: Hungarian
  • E-mail: meszaros.botond28[at]gmail.com

Exams and Qualifications

  • Romanian Baccalaureate in Mathematics, Advanced level (94.5)
  • Romanian Baccalaureate in Physics, Advanced level (91.5)
  • Romanian Baccalaureate in Hungarian Language & Literature, Standard level (100)
  • Romanian Baccalaureate in Romanian Language & Literature, Standard level (92.5)

Education

  • 2019: Eötvös Lóránd University Institute of Physics, BSc
  • 2015-2019: „Gheorghe Pop de Băsești” Secondary Grammar School

Language Skills

  • English (intermediate level, B2)
  • Hungarian (native)
  • Romanian (intermediate level, B2)

Research experience

  • 2018-2019: „A general time- and memory-efficient simulation, study and reduction of high-dimensional complex systems”, awarded 1 st Place by Hungarian Association for Innovation
  • 2017-2018: Junior Research Fellow at Talent Research Foundation in the Carpathian Basic (KMTA): „Computer Aided Geometric Design, Control-point based exact description of curves and surfaces”, lead by Dr. Róth Ágoston from Babes-Bolyai Univesity, Cluj-Napoca

Presentations at scientific conferences

  • 2019: Time- and memory-efficient reduction and visualization of high-dimensional complex systems (Hungarian Association for Innovation, Budapest, Ericsson Hungary)
  • 2019: Efficient simulation of complex systems (Interdisciplinar Science Conference of Babes-Bolyai University, Cluj-Napoca)
  • 2018: Efficient simulation of complex systems (Transylvanian Scientific Student’s Conference)
  • 2017: Computer-aided geometric design (Transylvanian Scientific Student’s Conference)

Honors and awards

  • 2016-2017: Junior Templeton Fellow at Hungarian Templeton Program
  • 2017-2018: Junior Research Fellow at Talent Research Foundation in the Carpathian Basic (KMTA)
  • 2016-2017: Junior Templeton Fellow at Hungarian Templeton Program

Extracurricular knowledge

  • Developed new mathematical methods:
    • Recursive method for representing high-dimensional datasets in lower dimensions while inheriting most of the important information, such as global minima and maxima
    • Recursive method for parallelizable approximation of linearized fractional differential equations, compatible with still existing numerical methods
    • Oscillation-minimized interpolating spline for data reconstruction from incomplete time series, by solving boundary value problems – works for fractional derivatives too
  • Computer-Aided Geometric Desing
  • Control-point based exact description of curves and surfaces
  • Mathematical modeling of high-dimensional complex systems
  • Used Object-Oriented C++ 11/14 in order to create basic software with GUI in Qt Creator for efficient study of simulated complex systems

Professional skills

  • High-level C++ and C knowledge
  • Intermediate C#, OpenGL and Qt knowledge
  • Beginner OpenMP, Java and Python knowledge

Areas of interest

  • Mathematical modeling of complex systems
  • Numerical analysis
  • Network science
  • Geometry of curved spaces
  • Theoretical physics
  • Computer Science
  • Literature
Botond Mészáros
Published by the LINK-Group | Editor: Péter Csermely | Last updated on 10 09 2013
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