Scholar
Alireza Furutanpey
Google Scholar ID: 9uMhPZAAAAAJ
PreDoc Researcher, TU Vienna
Citations & Impact
Citations
145
H-index
6
i10-index
6
Publications
15
Co-authors
12
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top-tier venues such as IEEE Transactions on Mobile Computing, including 'FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression' (2025) and 'FrankenSplit: Efficient Neural Feature Compression With Shallow Variational Bottleneck Injection for Mobile Edge Computing' (2024).
- Presented work at IEEE ICMLCN, LCN, QSW, CogMI, IC2E, and other international conferences.
- Co-developed faas-sim, a trace-driven simulation framework for serverless edge computing (2023).
- Proposed a platform-agnostic MLOps architecture for Industrial IoT (2024).
- Serves as a reviewer for IEEE TC, TMC, TII, TBD, ICDCS, EDGE, and other journals/conferences.
Research Experience
- Software Engineer at Studyly (2019–2021).
- Software Engineer at LocalStack (2021–2022).
- Joined the Distributed Systems Group at TU Wien in 2022 as a university assistant and PhD candidate.
- Involved in research projects on edge-cloud systems, serverless computing, federated learning, and neural compression.
- Offers (co-)supervision for bachelor’s and master’s theses aligned with his research interests.
