Antonio Scala

EDBT 2026 Demo / reviewers in the wild / expert

dblp:92/9669 · DBLP profile ↗

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11ranked-venue papers

5as first author

4since 2021 · last 2024

0000-0002-3414-2686ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 7 · 5 first-author · 2 since 2021Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Year	Publication	Venue	Position
2024	Inoperability Propagation in Networks with Coupled Logistic Dynamics Antonio Scala, Camilla Fioravanti, Gabriele Oliva	CRITIS	1
2023	Assessing the Effect of the Lack of Essential Workforce on the Economic Sectors During a Pandemic Stefano Bartolucci, Roberto Setola, Antonio Scala, Stefano Panzieri, Gabriele Oliva	critis	3
2023	The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase abstract The EU Center of Excellence for Exascale in Solid Earth (ChEESE) develops exascale transition capabilities in the domain of Solid Earth, an area of geophysics rich in computational challenges embracing different approaches to exascale (capability, capacity, and urgent computing). The first implementation phase of the project (ChEESE-1P; 2018–2022) addressed scientific and technical computational challenges in seismology, tsunami science, volcanology, and magnetohydrodynamics, in order to understand the phenomena, anticipate the impact of natural disasters, and contribute to risk management. The project initiated the optimisation of 10 community flagship codes for the upcoming exascale systems and implemented 12 Pilot Demonstrators that combine the flagship codes with dedicated workflows in order to address the underlying capability and capacity computational challenges. Pilot Demonstrators reaching more mature Technology Readiness Levels (TRLs) were further enabled in operational service environments on critical aspects of geohazards such as long-term and short-term probabilistic hazard assessment, urgent computing, and early warning and probabilistic forecasting. Partnership and service co-design with members of the project Industry and User Board (IUB) leveraged the uptake of results across multiple research institutions, academia, industry, and public governance bodies (e.g. civil protection agencies). This article summarises the implementation strategy and the results from ChEESE-1P, outlining also the underpinning concepts and the roadmap for the on-going second project implementation phase (ChEESE-2P; 2023–2026). Arnau Folch, Claudia Abril, Michael Afanasiev, Giorgio Amati, Michael Bader, Rosa M. Badia, Hafize B. Bayraktar, Sara Barsotti, Roberto Basili 0002, Fabrizio Bernardi, Christian Boehm, Beatriz Brizuela, Federico Brogi, Eduardo Cabrera, Emanuele Casarotti, Manuel Jesús Castro Díaz, Matteo Cerminara, Antonella Cirella, Alexey Cheptsov, Javier Conejero, Antonio Costa 0002, Marc de la Asunción, Josep de la Puente, Marco Djuric, Ravil Dorozhinskii, Gabriela Espinosa, Tomaso Esposti Ongaro, Joan Farnós, Nathalie Favretto-Cristini, Andreas Fichtner, Alexandre Fournier, Alice-Agnes Gabriel, Jean-Matthieu Gallard, Steven J. Gibbons, Sylfest Glimsdal, José Manuel González-Vida, José Gracia, Rose Gregorio, Natalia Gutiérrez, Benedikt Halldorsson, Okba Hamitou, Guillaume Houzeaux, Stephan Jaure, Mouloud Kessar, Lukas Krenz, Lion Krischer, Soline Laforet, Piero Lanucara, Bo Li 0147, Maria Concetta Lorenzino, Stefano Lorito, Finn Løvholt, Giovanni Macedonio, Jorge Macías Sánchez, Guillermo Marin, Beatriz Martínez Montesinos, Leonardo Mingari, Geneviève Moguilny, Vadim Montellier, Marisol Monterrubio Velasco, Georges-Emmanuel Moulard, Masaru Nagaso, Massimo Nazaria, Christoph Niethammer, Federica Pardini, Marta Pienkowska, Luca Pizzimenti, Natalia Poiata, Leonhard Rannabauer, Otilio Rojas, Juan Esteban Rodriguez, Fabrizio Romano, Oleksandr Rudyy, Vittorio Ruggiero, Philipp Samfass, Carlos Sánchez-Linares, Sabrina Sanchez, Laura Sandri, Antonio Scala, Nathanaël Schaeffer, Joseph Schuchart, Jacopo Selva, Amadine Sergeant, Angela Stallone, Matteo Taroni, Solvi Thrastarson, Manuel Titos, Nadia Tonelllo, Roberto Tonini, Thomas Ulrich, Jean-Pierre Vilotte, Malte Vöge, Manuela Volpe, Sara Aniko Wirp, Uwe Wössner	Future Gener. Comput. Syst.	79
2022	Volume Changes of Lake Bracciano During the Sentinels Acquisition Period abstract Lakes and reservoirs are considered sentinels of climate and anthropogenic changes. Lakes and reservoirs surface water storage is an essential hydrological variable but poorly known as this information is scarce. Earth Observation data are a reliable source of information to overcome this scarcity. Among these, the combined use of satellite images, to derive water extent, and radar altimetry, which enables to estimate water levels, provides valuable information on water storage changes. Here, we used Synthetic Aperture Radar images from Sentinel-1 and radar altimetry data from Sentinel-3 to monitor the water volume changes of Lake Bracciano from 2016 to 2021. This lake was affected by a water crisis in 2017 and the water supply to the city of Rome (Italy) was interrupted September 2017 to preserve its ecosystem. Hence, we demonstrate how Sentinel-1 and Sentinel-3 data can be useful to monitor water extent and level, which can be profoundly changed by the climate crisis. Frédéric Frappart, Bertrand Ygorra, Serge Riazanoff, Edward Salameh, Sara Taviani, David Rossi, Alex Mecali, Mattia M. Azzela, Emanuele Perugini, Jérôme Benveniste, Jean-François Crétaux, Antonio Scala, Alfonso Crisci, Jean-Pierre Wigneron	IGARSS	12
2019	Sparse analytic hierarchy process: an experimental analysis Gabriele Oliva, Roberto Setola, Antonio Scala, Paolo Dell'Olmo	Soft Comput.	3
2019	Polarization and Fake News: Early Warning of Potential Misinformation Targets abstract Users’ polarization and confirmation bias play a key role in misinformation spreading on online social media. Our aim is to use this information to determine in advance potential targets for hoaxes and fake news. In this article, we introduce a framework for promptly identifying polarizing content on social media and, thus, “predicting” future fake news topics. We validate the performances of the proposed methodology on a massive Italian Facebook dataset, showing that we are able to identify topics that are susceptible to misinformation with 77% accuracy. Moreover, such information may be embedded as a new feature in an additional classifier able to recognize fake news with 91% accuracy. The novelty of our approach consists in taking into account a series of characteristics related to users’ behavior on online social media such as Facebook, making a first, important step towards the mitigation of misinformation phenomena by supporting the identification of potential misinformation targets and thus the design of tailored counter-narratives. Michela Del Vicario, Walter Quattrociocchi, Antonio Scala, Fabiana Zollo	ACM Trans. Web	3
2016	Availability Study of the Italian Electricity SCADA System in the Cloud Stefano Sebastio, Antonio Scala, Gregorio D'Agostino	CRITIS	2
2015	A Mean Field Model of Coupled Cascades in Flow Networks Antonio Scala, Stefano Sebastio, Pier Giorgio De Sanctis Lucentini, Gregorio D'Agostino	CRITIS	1
2014	Self-Healing Protocols for Infrastructural Networks Antonio Scala, Walter Quattrociocchi, Giuliano Andrea Pagani, Marco Aiello 0001	CRITIS	1
2012	Distributed Generation and Resilience in Power Grids Antonio Scala, Mario Mureddu, Alessandro Chessa, Guido Caldarelli, Alfonso Damiano	CRITIS	1
2011	The Robustness of Assortativity - (Short Paper) Antonio Scala, Gregorio D'Agostino	CRITIS	1