Dr Bogdan Milićević
Research associate
Doctor of Science - Mechanical Engineering
Brief description of the research
Dr. Bogdan Milićević's research encompasses computer simulations, modeling, machine learning, and high-performance computing. He combines advanced techniques of numerical analysis and machine learning to develop faster and more efficient simulations of biophysical systems.
Research areas include:
- surrogate modeling
- neural networks supported by physical laws
- supervised learning and incentive learning
- finite element method
- високоперформантне симулације биолошких и механичких система
Selected references
- Bogdan Milicevic, Milos Ivanovic, Boban Stojanovic, Miljan Milosevic, Milos Kojic, Nenad Filipovic, Huxley muscle model surrogates for high-speed multi-scale simulations of cardiac contraction, Computers in Biology and Medicine, 149, 2022. DOI: 10.1016/j.compbiomed.2022.105963
- Bogdan Milicevic, Miljan Milosevic, Vladimir Simic, Danijela Trifunovic, Goran Stankovic, Nenad Filipovic, Milos Kojic, Cardiac hypertrophy simulations using parametric and echocardiography-based LV model..., Computers in Biology and Medicine, 157, 2023. DOI: 10.1016/j.compbiomed.2023.106742
- Miljan Milosevic, Vladimir Simic, Bogdan Milicevic, E.J. Koay, Mauro Ferrari, Arturas Ziemys, Milos Kojic, Correction function for accuracy improvement of the Composite Smeared Finite Element..., CMAME, 338, 97–116 (2018). DOI: 10.1016/j.cma.2018.04.012
- Miroslav Stojadinovic, Bogdan Milicevic, Jankovic Slobodan, Improved predictive performance of Prostate Biopsy Collaborative Group risk calculator..., Computers in Biology and Medicine, 138 (2021). DOI: 10.1016/j.compbiomed.2021.104903
- Bogdan Milicevic et al., Machine learning and physical based modeling for cardiac hypertrophy, Heliyon, 9(6), e16724 (2023). DOI: 10.1016/j.heliyon.2023.e16724