Home » Staff » Dr Ivan Traparić

Dr Ivan Traparić

Assistant Research Professor
E-mail: traparic@ipb.ac.rs
Room: 223, 1st floor
Phone office: (+381)11/31-61-258
Phone lab: (+381)11/37-13-178
Fax: (+381)11/31-62-190
Curriculum vitae

 


Introduction

I was born in Trebinje, Bosnia and Herzegovina. There I finished my elementary and high school. After graduation from high school in 2015, I started my undergraduate studies at the Faculty of Physics at the University of Belgrade. I obtained my BSc Diploma in 2019, and in the same year I enrolled in Masters studies. Experimental work on Master Thesis was done in the Laboratory for Plasma Spectroscopy and Lasers. After getting my MSc Diploma, I decided to further pursue my scientific career and therefore started my PhD studies in the field of Physics of Ionized Gases and Plasma.

In my free time I enjoy playing and watching Basketball, Football and Table Tennis. Beside that, I also enjoy learning new languages.


Research areas

  • Fusion Physics
  • VUV and Optical Emission Plasma Spectroscopy
  • Stark broadening of spectral lines
  • Diagnostics of Pulsed Plasma Sources
  • Laser Induced Breakdown Spectroscopy
  • Machine Learning

Past projects
NOVA2LIBS4fusion – Novel approach to laser induced breakdown spectroscopy diagnostics of fusion reactor plasma facing components – project IDEJE – Science Fund of the Republic of Serbia (2023 – 2025)


Selected publications

B.D. Stankov, I. Traparić, M. Gavrilović Božović, M. Ivković, Detection of absorbed neutrons through determination of rhenium content in tungsten with laser induced fast pulse discharge, Fusion Engineering and Design 215 (2025), 114943, https://doi.org/10.1016/j.fusengdes.2025.114943.

M Ivkovic, J Savovic, Biljana D Stankov, M Kuzmanovic, I Traparic, LIBS depth-profile analysis of W/Cu functionally graded material, Spectrochimica Acta Part B: Atomic Spectroscopy 213 (2024), 106874, https://doi.org/10.1016/j.sab.2024.106874.

I Traparic, D Rankovic, B Stankov, J Savovic, M Kuzmanovic and M Ivkovic Resolving studies of Balmer alpha lines relevant to the LIBS analysis of hydrogen isotope retention, Spectrochimica Acta Part B: Atomic Spectroscopy 221 (2024) 107050, https://doi.org/10.1016/j.sab.2024.107050

Ivan Traparić and Milivoje Ivković, Determination of austenitic steel alloys composition using laser-induced breakdown spectroscopy (LIBS) and machine learning algorithms, Eur. Phys. J. D 77 2 (2023) 30, https://doi.org/10.1140/epjd/s10053-023-00608-6

Tapalaga, I., Traparić, I., Trklja Boca, N. et al., Stark spectral line broadening modeling by machine learning algorithms. Neural Comput & Applic 34, 6349–6358 (2022). https://doi.org/10.1007/s00521-021-06763-4

N.M. Sakan , I. Traparic, V.A. Sreckovic and M. Ivkovic, The usage of perceptron, feed and deep feed forward artificial neural networks on the spectroscopy data: astrophysical & fusion plasmas, Contrib. Astron. Obs. Skalnaté Pleso 52/3, 97 – 104, (2022) https://doi.org/10.31577/caosp.2022.52.3.97


Links

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