| 2025 | ICLR | Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks. | Sabrina Herbst, Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic |
| 2024 | CCGRID | Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing. | Vincenzo De Maio, Meerzhan Kanatbekova, Felix Zilk, Nicolai Friis, Tobias Guggemos, Ivona Brandic |
| 2024 | QCE | On Optimizing Hyperparameters for Quantum Neural Networks. | Sabrina Herbst, Vincenzo De Maio, Ivona Brandic |
| 2023 | EuroPar | Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case. | Sabrina Herbst, Vincenzo De Maio, Ivona Brandic |
| 2022 | EuroSys | Edge offloading for microservice architectures. | Josip Zilic, Vincenzo De Maio, Atakan Aral, Ivona Brandic |
| 2022 | PODC | A Roadmap To Post-Moore Era for Distributed Systems. | Vincenzo De Maio, Atakan Aral, Ivona Brandic |
| 2022 | UCC | TAROT: Spatio-Temporal Function Placement for Serverless Smart City Applications. | Vincenzo De Maio, David Bermbach, Ivona Brandic |
| 2021 | EuroSys | Increasing Traffic Safety with Real-Time Edge Analytics and 5G. | Ivan Lujic, Vincenzo De Maio, Klaus Pollhammer, Ivan Bodrozic, Josip Lasic, Ivona Brandic |
| 2020 | COMPSAC | Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences. | Alfredo Cuzzocrea, Vincenzo De Maio, Edoardo Fadda |
| 2019 | UCC | Energy and Profit-Aware Proof-of-Stake Offloading in Blockchain-based VANETs. | Vincenzo De Maio, Rafael Brundo Uriarte, Ivona Brandic |
| 2018 | CCGRID | First Hop Mobile Offloading of DAG Computations. | Vincenzo De Maio, Ivona Brandic |
| 2018 | ICFEC | Adaptive Recovery of Incomplete Datasets for Edge Analytics. | Ivan Lujic, Vincenzo De Maio, Ivona Brandic |
| 2017 | ICFEC | Efficient Edge Storage Management Based on Near Real-Time Forecasts. | Ivan Lujic, Vincenzo De Maio, Ivona Brandic |
| 2016 | CCGRID | An Improved Model for Live Migration in Data Centre Simulators. | Vincenzo De Maio, Gabor Kecskemeti, Radu Prodan |
| 2016 | UCC | An improved model for live migration in data centre simulators. | Vincenzo De Maio, Gabor Kecskemeti, Radu Prodan |
| 2015 | CLUSTER | A Workload-Aware Energy Model for Virtual Machine Migration. | Vincenzo De Maio, Gabor Kecskemeti, Radu Prodan |
| 2014 | UCC | Evaluating Energy Efficiency of Gigabit Ethernet and Infiniband Software Stacks in Data Centres. | Vincenzo De Maio, Vlad Nae, Radu Prodan |