Alessandro Tundo
Univ.Ass. / PhD
Role
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PostDoc Researcher
Computational Sustainability, E191-05
Publications
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Breaking Down Quantum Compilation: Profiling and Identifying Costly Passes
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Zilk, F., Tundo, A., De Maio, V., & Brandic, I. (2025). Breaking Down Quantum Compilation: Profiling and Identifying Costly Passes. arXiv. https://doi.org/10.48550/arXiv.2504.15141
Projects: HPQC (2023–2025) / Themis FWF (2024–2027) / TRITON FWF (2023–2027) -
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments
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Ilager, S., Fahringer, J., Tundo, A., & Brandić, I. (2025). A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments. ACM Transactions on Autonomous and Adaptive Systems. https://doi.org/10.1145/3736726
Projects: SWAIN (2021–2024) / Themis FWF (2024–2027) / TRITON FWF (2023–2027) / Virtual Shepherd (2024–2026) -
Decentralized Edge Workload Forecasting With Gossip Learning
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Tundo, A., Filippini, F., Regonesi, F., Ciavotta, M., & Savi, M. (2025). Decentralized Edge Workload Forecasting With Gossip Learning. IEEE Transactions on Network and Service Management. https://doi.org/10.1109/TNSM.2025.3570450
Projects: Themis FWF (2024–2027) / TRITON FWF (2023–2027) - ReProbe: An Architecture for Reconfigurable and Adaptive Probes / Alessi, F., Tundo, A., Mobilio, M., Riganelli, O., & Mariani, L. (2024). ReProbe: An Architecture for Reconfigurable and Adaptive Probes. In 2024 IEEE 21st International Conference on Software Architecture Companion (ICSA-C) (pp. 175–178). https://doi.org/10.1109/ICSA-C63560.2024.00037
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An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge
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Tundo, A., Mobilio, M., Ilager, S. S., Brandic, I., Bartocci, E., & Mariani, L. (2023). An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge. In 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 281–293). IEEE. https://doi.org/10.1109/ASE56229.2023.00046
Projects: Intrasafed 5G (2020–2021) / RUCON (2016–2023) / SWAIN (2021–2024) / TRITON FWF (2023–2027)
Supervisions
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Towards Livestock Location Prediction in Rural Areas using Federated Learning and Edge Computation
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Gugleta, M. (2025). Towards Livestock Location Prediction in Rural Areas using Federated Learning and Edge Computation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.126364
Download: PDF (7.12 MB) -
Anomaly detection in redundant sensor systems : a comparative study using photovoltaic power plant data
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Stefitz, A. (2024). Anomaly detection in redundant sensor systems : a comparative study using photovoltaic power plant data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.120232
Download: PDF (1.84 MB)