معرفی
Dr. Olja Đorđić serves as an Assistant Professor in the Department of Experimental and General Physics at the Faculty of Natural Sciences and Mathematics, University of Banja Luka, Bosnia and Herzegovina. Her research centers on nuclear physics phenomena, particularly the equation of state of nuclear matter under extreme conditions of high temperature and low pressure, and she actively contributes to the international ALICE Collaboration at CERN.
Her academic credentials include:
- Graduated in Physics (2000) from the Faculty of Natural Sciences and Mathematics, Banja Luka
- Master of Physical Sciences (2007) from the Faculty of Physics, Belgrade
- Doctor of Science (2020) from the Faculty of Science, Oslo
Dr. Đorđić's research spans nuclear and particle physics with emphasis on heavy-ion collisions to probe quark-gluon plasma properties. Her experimental work leverages ALICE detector data from the LHC, focusing on jet quenching, flow harmonics, and particle spectra analysis. Methodologically, she integrates simulations (PYTHIA, HYJING) with empirical data to model nuclear matter behavior under relativistic conditions.
Analysis of her publications reveals consistent exploration of nuclear matter phase transitions since 2005, with recent work (2016-2020) intensifying on quark-gluon plasma signatures through multi-particle correlations and collective flow measurements. Her research trajectory demonstrates deepening specialization in high-temperature nuclear matter physics within the ALICE framework.
As an educator, she teaches undergraduate courses including Nuclear Physics, Elementary Particle Physics, History of Physics, and Physics 2. While specific student mentorship isn't documented, her role inherently involves guiding physics students through complex theoretical concepts and experimental methodologies in nuclear physics.
Her primary research affiliation is with the ALICE Collaboration, a global consortium operating one of CERN's flagship LHC experiments. This framework provides access to cutting-edge collision data and facilitates interdisciplinary collaboration across theoretical modeling, detector development, and data analysis.
