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
• Distributed Inference
• 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., 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).
2. Lackinger, A., Morichetta, A., & Dustdar, S. (2024). Time Series Predictions for Cloud Workloads: A Comprehensive Evaluation. 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE).
3. Morichetta, A., Lackinger, A., & Dustdar, S. (2024). Cohabitation of Intelligence and Systems: Towards Self-reference in Digital Anatomies. 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE).

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 International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
• International Web Information Systems Engineering conference (WISE)