Boris Sedlak

Boris Sedlak is a PostDoc Researcher and Ph.D. student in the Distributed Systems Group (DSG) at TU Wien, Austria. His research focuses on ensuring runtime requirements in large-scale computing systems through causal inference and active inference concepts, with applications in edge computing, vehicular networks, and distributed systems governance.

Education:

• Ph.D. in Computer Science (Ongoing) at TU Wien, funded by the TEADAL EU Horizon project.
• M.Sc. in Software Engineering & Internet Computing (Distinction) at TU Wien (2018–2022).
• B.Sc. in Media Informatics at FH St. Pölten, Austria (2015–2018).

Research Interests: Boris specializes in distributed computing continuum systems, active inference for system equilibrium, causal inference in distributed environments, edge computing elasticity, and privacy-preserving data stream processing. He explores applying neuroscience-inspired concepts to computing systems for adaptive and self-organizing solutions.

Key Projects:

• TEADAL (2022–2025): Focuses on federated and trustworthy data lakes in distributed systems.
• INTEND (2024–2026): Investigates intelligent service adaptations through active inference.
• AloTwin (2023–2025) and FogProtect (2020–2022): Address edge computing security and data governance.

Recent Contributions: Boris has published extensively on adaptive stream processing, SLO-aware task offloading in vehicular platoons, and equilibrium models using active inference. His work bridges causal reasoning and system design, emphasizing scalable solutions for heterogeneous edge infrastructures.

Advisory & Collaboration: Supervises bachelor/master theses and actively collaborates on topics involving service-level objectives, causal models, and edge intelligence. He has presented at ICSOC, IEEE Edge Computing, and AIoTwin Summer School.