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