Andrija Stanisic

Projektass. / MSc

Role

PreDoc Researcher
Distributed Systems, E194-02

Contact

Publications

Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers / Stanisic, A., Gravara, M., Herrera Gonzalez, J. L., & Nastic, S. (2027). Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers. In M. Torquati, G. Mencagli, V. Cardellini, A. Antelmi, & D. Medić (Eds.), Euro-Par 2026: Parallel Processing : 32nd European Conference on Parallel and Distributed Processing : Proceedings, Part II (pp. 347–362). Springer Cham. https://doi.org/10.1007/978-3-032-35251-4_24
Project: NexaSphere (2025–2027)
PLAIground: SLO-Driven Runtime Model Selection for Compound AI Systems in the Edge-Cloud-Space Continuum / Gravara, M., Marcelino, C., Stanisic, A., & Nastic, S. (2026). PLAIground: SLO-Driven Runtime Model Selection for Compound AI Systems in the Edge-Cloud-Space Continuum. In 2026 IEEE International Conference on Smart Computing Workshops and Other Affiliated events (SmartComp Companion) (pp. 261–266). IEEE. https://doi.org/10.1109/SmartComp-Companion70724.2026.00061
Project: NexaSphere (2025–2027)
Currus - A Compound AI Approach to Distributed Vehicle Trajectory Reconstruction in the Edge-Cloud / Kaya, M. C., Pusztai, T. W., Stanisic, A., & Nastic, S. (2025). Currus - A Compound AI Approach to Distributed Vehicle Trajectory Reconstruction in the Edge-Cloud. In S. Nastic, F. Michahelles, S. Ristov, P. Dazzi, & F. Wolling (Eds.), Proceedings of the 15th International Conference on the Internet of Things 2025 (pp. 254–262). Association for Computing Machinery. https://doi.org/10.1145/3770501.3770531
Download: PDF (1.52 MB)
Projects: NexaSphere (2025–2027) / RapidREC (2023–2025) / TEADAL (2022–2025)
A Novel Compound AI Model for 6G Networks in 3D Continuum / Gravara, M., Stanisic, A., & Nastic, S. (2025). A Novel Compound AI Model for 6G Networks in 3D Continuum. arXiv. https://doi.org/10.34726/10420
Download: PDF (246 KB)
Project: NexaSphere (2025–2027)

Supervisions

Distributed training of deep learning models in the edge-cloud-space continuum / Maresch, M. (2026). Distributed training of deep learning models in the edge-cloud-space continuum [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.136960
Download: PDF (1.15 MB)