
About
Anna Lackinger is a PreDoc Researcher and PhD student in the Distributed Systems Group at TU Wien's Faculty of Informatics. Holding a Diplom-Ingenieur (Master's) and BSc from TU Wien, she specializes in edge intelligence and distributed machine learning systems with applications in cloud infrastructure optimization.
Education:
- Diplom-Ingenieur (Master of Science in Engineering), TU Wien, 2023
- Bachelor of Science, TU Wien
Her research centers on Edge Intelligence and Federated Learning architectures, developing communication-efficient orchestration frameworks for hierarchical learning systems. She pioneers time series prediction techniques for cloud workload forecasting, enabling proactive resource scaling while addressing challenges in heterogeneous IoT environments and communication-constrained distributed systems.
Analysis of her publication record reveals consistent focus on adaptive federated learning systems that optimize communication costs while maintaining model accuracy. Her work bridges theoretical AI advancements with practical distributed systems implementations, particularly in edge-cloud continuum scenarios where resource constraints demand innovative orchestration solutions.
Professional Service:
- Reviewer for IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
- Reviewer for International Web Information Systems Engineering Conference (WISE)
- Reviewer for ACM Transactions on Internet Technology (TOIT)
- Reviewer for IEEE Transactions on Services Computing (TSC)
- Reviewer for IEEE Internet Computing (IC)
- Reviewer for IEEE Open Journal of the Computer Society (OJCS)
Anna co-advises bachelor's and master's theses in distributed systems and machine learning. She actively contributes to major research initiatives including AloTwin (2023–2025) on reactive federated learning orchestration, INTEND (2024–2026) developing adaptive inference agents, and TEADAL (2022–2025) focused on load-aware federated learning systems.
As a core member of TU Wien's Distributed Systems Group, she collaborates on cutting-edge research in edge intelligence and IoT swarm coordination, advancing the RainCloud framework for decentralized heterogeneous IoT systems while contributing to the group's leadership in distributed AI infrastructure.
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