Research Assistant
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
Current 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
Selected publications
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
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