Anna Lackinger

Research scientist

Dipl.-Ing, BSc

a.lackinger@dsg.tuwien.ac.at

+43 1 58801 18452

AIoTwin Project Intend Project
LinkedIn

Short CV

Anna is a project assistant and a PhD student in the Distributed Systems Group at the Technical University of Vienna in Austria. Before completing her master’s degree in 2023, she worked as a tutor and contributed to the AIoTwin project. Besides working for AIoTwin, she is also working on the Intend project, since January 2024.

Research Interests

• Edge Intelligence
• Reinforcement Learning
• Federated Learning
• ML for Predictive/Proactive Scaling in the Cloud (Time Series Analysis)

Thesis & Project Supervision

If you are interested in a topic that fits my research interests, I can co-advise your bachelor’s or master’s thesis.

Publications

1. Lackinger, A., Morichetta, A., Frangoudis, P. A., & Dustdar, S. (2025). BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services. ArXiv Preprint ArXiv:2511.08142.
2. Morichetta, A., Brenes, J., Kolobov, M., Dib, D., Metsch, T., Lackinger, A., … others. (2025). incoord: Intent-based coordination in the multi-domain cloud-edge continuum. In 2025 IEEE 33rd International Conference on Network Protocols (ICNP) (pp. 1–6). IEEE.
3. Capova, C., Morichetta, A., Lackinger, A., & Dustdar, S. (2025). Intent-to-learning translation for computing continuum management. In 2025 IEEE 33rd International Conference on Network Protocols (ICNP) (pp. 1–6). IEEE.
4. Čilić, I., Lackinger, A., Frangoudis, P., Žarko, I. P., Furutanpey, A., Murturi, I., & Dustdar, S. (2025). Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget. Proc. IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN).
5. Lackinger, A., Frangoudis, P. A., Čilić, I., Furutanpey, A., Murturi, I., Žarko, I. P., & Dustdar, S. (2024). Inference Load-Aware Orchestration for Hierarchical Federated Learning. In 2024 IEEE 49th Conference on Local Computer Networks (LCN) (pp. 1–9).
6. Lackinger, A., Morichetta, A., & Dustdar, S. (2024). Time Series Predictions for Cloud Workloads: A Comprehensive Evaluation. In 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 36–45).
7. Morichetta, A., Lackinger, A., & Dustdar, S. (2024). Cohabitation of intelligence and systems: Towards self-reference in digital anatomies. In 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 102–110).
8. Loisel, F., Zeqo, G., Morichetta, A., Lackinger, A., & Dustdar, S. (2024). RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms. In 2024 International Symposium on Parallel Computing and Distributed Systems (PCDS) (pp. 1–10).

Thesis

• Anna Lackinger, Towards Accurate Time Series Predictions for Cloud Workloads, Diploma Thesis, TU Wien, 2023.

Reviewer

I have been a reviewer for the following

• IEEE Transactions on Big Data (TBD)
• IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
• International Web Information Systems Engineering conference (WISE)
• ACM Transactions on Internet Technology (TOIT)
• IEEE Transactions on Services Computing (TSC)
• IEEE Internet Computing (IC)
• IEEE Open Journal of the Computer Society (OJCS)
• Neurocomputing