Alireza Furutanpey

University Assistant

Dipl.-Ing, BSc

+43 1 58801 18456

last edited: 28.03.2024

Short CV

Alireza is currently a university assistant at the Distributed Systems Group of the Institute of Information Systems Engineering. He received his master’s degree with distinction, worked as a Software Engineer at Studyly from 2019 to 2021 and at LocalStack from 2021 to 2022. In 2022 he joined the Distributed Systems Group to pursue a PhD.

Research Interests



No. Title Type
184.167 Distributed Systems UE, 3.0 ECTS
184.153 Advanced Internet Computing VU, 3.0 ECTS
194.058 Project in Computer Science 1 PR, 6.0 ECTS
194.059 Project in Computer Science 2 PR, 6.0 ECTS
184.194 Seminar in Distributed Systems SE, 3.0 ECTS

Thesis & Project Supervision

If you are interested in a topic that fits my research interests, I can (co-)advise your bachelor or master theses.


  1. Furutanpey, A., Zhang, Q., Raith, P., Pfandzelter, T., Wang, S., & Dustdar, S. (2024). FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression.
  2. Furtuanpey, A., Raith, P., & Dustdar, S. (2024). FrankenSplit: Efficient Neural Feature Compression With Shallow Variational Bottleneck Injection for Mobile Edge Computing. IEEE Transactions on Mobile Computing, 1–17.
  3. Raith, P., Rausch, T., Furutanpey, A., & Dustdar, S. (2023). faas-sim: a trace-driven simulation framework for serverless edge computing platforms. Softw Pract Exp.
  4. Furutanpey, A., Barzen, J., Bechtold, M., Dustdar, S., Leymann, F., Raith, P., & Truger, F. (2023). Architectural Vision for Quantum Computing in the Edge-Cloud Continuum. In 2023 IEEE International Conference on Quantum Software (QSW) (pp. 88–103).
  5. Nastic, S., Raith, P., Furutanpey, A., Pusztai, T., & Dustdar, S. (2022). A Serverless Computing Fabric for Edge & Cloud. In 2022 IEEE 4th International Conference on Cognitive Machine Intelligence (CogMI) (pp. 1–12). IEEE.
  6. Raith, P., Rausch, T., Prüller, P., Furutanpey, A., & Dustdar, S. (2022). An End-to-End Framework for Benchmarking Edge-Cloud Cluster Management Techniques. In 2022 IEEE International Conference on Cloud Engineering (IC2E) (pp. 22–28). IEEE.
  7. Furutanpey, A., & Dustdar, S. (2022). Adaptive and collaborative inference: Towards a no-compromise framework for distributed intelligent systems. In Proceedings of the 18th International Conference on Web Information Systems and Technologies.

Academic Activities


I have been a reviewer for the following journals, conferences and magazines