TU Wien Informatics

Boris Sedlak

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University Assistant
Dr. tech.

+43 1 58801 18451

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Short CV

Boris is a Postdoctoral Researcher in the Distributed Systems Group at TU Wien, where he received his Ph.D. in 2025. Before returning to his alma mater, he worked as Postdotoral researcher at UPF Barcelona. Additionally, he worked for four years as software engineer before pursuing research on distributed computing systems, with a focus on service orchestration, computing continuum systems, and active inference.

Research Interests


Thesis & Project Supervision

If you are interested in a topic that fits my research interests, I can (co-)advise your Bachelor or Master thesis. Furthermore, I can offer that we elaborate a topic together, based on your specific interests.

In particular, I’m currently offering topics in the context of ensuring Service Level Objectives (SLOs) through Active Inference (AIF), where the challenges are to ensure processing requirements (i.e., SLOs) in heterogeneous computing infrastructures by continuously exploring and developing a model of the processing environment.

Additionally, I’m always available to elaborate topics for Projects in Computer Science to directly contribute to our ongoing research projects and topics.

Publications

  1. de Abril, I. M., Rouska, N.-M., Sedlak, B., Pujol, V. C., & Dustdar, S. (2026). A Multiplicative Innovation–Retention Balance Governs Epistemic Depth in Bounded Multi-Agent Systems. MIT Press. https://doi.org/10.1162/ISAL.a.1000
  2. Magrans de Abril, I., Sedlak, B., Pujol, V. C., & Dustdar, S. (2026). Composable Autonomic Offerings for Decentralized Service Provisioning in the Computing Continuum. In Proceedings of the Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems (pp. 1–9). https://doi.org/10.1145/3820355.3820395
  3. García-Fernández, A., Sedlak, B., Parejo, J. A., Frangoudis, P., Ruiz-Cortés, A., & Dustdar, S. (2026). Pricing-Driven Resource Allocation in the Computing Continuum. arXiv. https://doi.org/10.48550/arXiv.2604.12642
  4. Sedlak, B., Pujol, V. C., de Abril, I. M., Donta, P. K., Toosi, A. N., & Dustdar, S. (2026). Service Orchestration in the Computing Continuum: Structural Challenges and Vision. IEEE Internet Computing, 30(2), 88–98. https://doi.org/10.1109/MIC.2026.3662064
  5. Herrera, J. L., Sedlak, B., & Dustdar, S. (2026). Active Inference for Sustainable Computing Continuum Systems. IEEE Internet Computing, 30(1), 81–90. https://doi.org/10.1109/MIC.2025.3590621
  6. Sedlak, B., Raith, P., Morichetta, A., Pujol, V. C., & Dustdar, S. (2026). Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices. IEEE Transactions on Services Computing, 1–13. https://doi.org/10.1109/TSC.2026.3711142
  7. Sedlak, B., Pujol, V. C., Motlagh, N. H., Morabito, R., Wilhelmi, F., de Abril, I. M., … Dustdar, S. (2026). Large-Scale Sensor Systems for Sentient Environments: Emerging Research Directions. IEEE Journal of Selected Areas in Sensors, 1–15. https://doi.org/10.1109/JSAS.2026.3716613
  8. Sedlak, B., Casamayor Pujol, V., Morichetta, A., Donta, P. K., & Dustdar, S. (2025). Adaptive stream processing on edge devices through active inference. Evolving Systems, 16(4), 130. https://doi.org/10.1007/s12530-025-09753-2
  9. Lapkovskis, A., Sedlak, B., Magnússon, S., Dustdar, S., & Donta, P. K. (2025). Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems. In 2025 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 93–102). https://doi.org/10.1109/EDGE67623.2025.00020
  10. Sedlak, B., Furutanpey, A., Wang, Z., Pujol, V. C., & Dustdar, S. (2025). Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods. arXiv. https://doi.org/10.48550/arXiv.2506.10420
  11. Pujol, V. C., Sedlak, B., Salvatori, T., Friston, K., & Dustdar, S. (2025). Distributed Intelligence in the Computing Continuum with Active Inference. arXiv. https://doi.org/10.48550/arXiv.2505.24618
  12. Pretel, E., Navarro, E., Pujol, V. C., & Dustdar, S. (2025). Digital Twins and Artificial Collective Intelligence: Synergies for the Future. IEEE Internet Computing, 29(1), 75–85. https://doi.org/10.1109/MIC.2024.3521607
  13. Sedlak, B., Morichetta, A., Raith, P., Pujol, V. C., & Dustdar, S. (2025). Towards Multi-dimensional Elasticity for Pervasive Stream Processing Services. In 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). https://doi.org/10.1109/PerComWorkshops65533.2025.00156
  14. Li, Z., Zhao, Y., He, S., Sedlak, B., & Dustdar, S. (2025). DIF-RS: A Graph-Based Diffusion Model for Service Request Scheduling in Edge Computing. In Service Science (pp. 186–201). Singapore: Springer Nature. https://doi.org/10.1007/978-981-95-1581-3_12
  15. Sedlak, B. (2025). Autonomous Orchestration of Computing Continuum Systems through Active Inference (Thesis). Technische Universität Wien. https://doi.org/10.34726/hss.2025.132002
  16. Sedlak, B., Morichetta, A., Wang, Y., Fei, Y., Wang, L., Dustdar, S., & Qu, X. (2024). SLO-Aware Task Offloading Within Collaborative Vehicle Platoons. In Service-Oriented Computing (pp. 72–86). https://doi.org/10.1007/978-981-96-0808-9_6
  17. Danilenka, A., Furutanpey, A., Pujol, V. C., Sedlak, B., Lackinger, A., Ganzha, M., … Dustdar, S. (2024). Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning. arXiv. https://doi.org/10.48550/arXiv.2410.09099
  18. Casamayor Pujol, V., Sedlak, B., Xu, Y., Donta, P. K., & Dustdar, S. (2024). DeepSLOs for the Computing Continuum. In Proceedings of the 2024 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems (pp. 1–10). New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3663338.3663681
  19. Sedlak, B., Pujol, V. C., Donta, P. K., & Dustdar, S. (2024). Active Inference on the Edge: A Design Study. In 2024 IEEE PerCom Workshops (pp. 550–555). https://doi.org/10.1109/PerComWorkshops59983.2024.10502828
  20. Pujol, V. C., Sedlak, B., Donta, P. K., & Dustdar, S. (2024). On Causality in Distributed Continuum Systems. IEEE Internet Computing, 28(2), 57–64. https://doi.org/10.1109/MIC.2023.3344248
  21. Sedlak, B., Pujol, V. C., Donta, P. K., & Dustdar, S. (2024). Equilibrium in the Computing Continuum through Active Inference. Future Generation Computer System, 160, 92–108. https://doi.org/10.1016/j.future.2024.05.056
  22. Sedlak, B., Pujol, V. C., Donta, P. K., & Dustdar, S. (2024). Markov Blanket Composition of SLOs. In 2024 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 128–138). Shenzhen, China. https://doi.org/10.1109/EDGE62653.2024.00025
  23. Sedlak, B., Pujol, V. C., Donta, P. K., & Dustdar, S. (2024). Diffusing High-level SLO in Microservice Pipelines. In 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 11–19). Shanghai, China. https://doi.org/10.1109/SOSE62363.2024.00008
  24. Donta, P. K., Murturi, I., Casamayor Pujol, V., Sedlak, B., & Dustdar, S. (2023). Exploring the Potential of Distributed Computing Continuum Systems. Computers, 12(10), 198. https://doi.org/10.3390/computers12100198
  25. Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Controlling Data Gravity and Data Friction: From Metrics to Multidimensional Elasticity Strategies. In 2023 IEEE International Conference on Software Services Engineering (SSE) (pp. 43–49). Chicago, IL, USA. https://doi.org/10.1109/SSE60056.2023.00017
  26. Donta, P. K., Sedlak, B., Casamayor Pujol, V., & Dustdar, S. (2023). Governance and sustainability of distributed continuum systems: a big data approach. Journal of Big Data, 10(1), 53. https://doi.org/10.1186/s40537-023-00737-0
  27. Sedlak, B., Pujol, V. C., Donta, P. K., Werner, S., Wolf, K., Falconi, M., … Plebani, P. (2023). Towards Serverless Data Exchange Within Federations. In Service-Oriented Computing (pp. 144–153). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45728-9_9
  28. Sedlak, B., Murturi, I., Donta, P. K., & Dustdar, S. (2023). A Privacy Enforcing Framework for Transforming Data Streams on the Edge. IEEE Transactions on Emerging Topics in Computing. https://doi.org/10.1109/TETC.2023.3315131
  29. Sedlak, B., Pujol, V. C., Donta, P. K., & Dustdar, S. (2023). Designing Reconfigurable Intelligent Systems with Markov Blankets. In Service-Oriented Computing (pp. 42–50). Rome, Italy: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-48421-6_4
  30. Sedlak, B., Murturi, I., & Dustdar, S. (2022). Specification and Operation of Privacy Models for Data Streams on the Edge. In 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC) (pp. 78–82). Messina, Italy: IEEE. https://doi.org/10.1109/ICFEC54809.2022.00018
  31. Sedlak, B. (2022). Thesis: Specification and operation of privacy models for data streams on the edge (Thesis). Wien.