Dr Miloš Jovičić
Research associate
Doctor of Science – Industrial Engineering
NIC for the application of IT in engineering
Brief description of the research
Dr. Miloš Jovicic conducts research in the field of applied graph technologies and artificial intelligence. His work combines LP graphs with graph neural networks, graph transformers, and large language models to create context-aware AI agents capable of reasoning over complex and heterogeneous data streams in real time.
Research is specifically focused on the development of ontology-driven algorithms for industrial application and drug development processes in the pharmaceutical industry.
Selected references
- Fedorova, A., Jovišić, N., Vallverdù, J., Battistoni, S., Jovičić, M., Medojević, M., et al. (2024). Advancing Neural Networks: Innovations and Impacts on Energy Consumption. Advanced Electronic Materials, 10(12), 2400258.
- Bajic, B., Suzic, N., Moraca, S., Stefanović, M., Jovicic, M., & Rikalovic, A. (2023). Edge computing data optimization for smart quality management: Industry 5.0 perspective. Sustainability, 15(7), 6032.
- Jovičić, M., Bošković, G. B., Jovičić, N., Savković, M., Mačužić, I., Stefanović, M., & Klochkov, Y. (2022). Assessment of the fragility of the municipal waste sector in Serbia using system dynamics modelling. Sustainability, 14(2), 862.