Demo Data from EDBT 2026 / reviewers in the wild / expert
Ivan Paez
dblp:377/8559
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0002-0004-2062ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Edge and fog computing · 50% Internet of things and sensor networks · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Edge and fog computing
collaborative edge computing |
0.8 | 1 | 2024 | EMPYREAN: Trustworthy, Cognitive and AI-driven Collaborative Associations of IoT Devices and Edge Resources for Data Processing · HPDC 2024 |
Internet of things and sensor networks
iot devices |
0.8 | 1 | 2024 | EMPYREAN: Trustworthy, Cognitive and AI-driven Collaborative Associations of IoT Devices and Edge Resources for Data Processing · HPDC 2024 |
Methods — techniques the papers use, named apart from their topics
federated learning · 1.5AI workload processing · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | EMPYREAN: Trustworthy, Cognitive and AI-driven Collaborative Associations of IoT Devices and Edge Resources for Data ProcessingabstractThe EU-funded EMPYREAN project (empyrean-horizon.eu) aims to establish a hyper-distributed computing paradigm, leveraging collaborative, heterogeneous IoT devices and federated resources. EMPYREAN focuses on developing technologies for efficient AI workload processing, secure distributed edge storage and cloud-native application development. It will offer open and standardised APIs and use open-source platforms. EMPYREAN's capabilities will be demonstrated through three use cases: advanced manufacturing, smart agriculture, and warehouse automation. Aristotelis Kretsis, Panagiotis C. Kokkinos, Emmanouel A. Varvarigos, Dimitris Syrivelis, Paraskevas Bakopoulos, Márton Sipos, Marcell Fehér, Daniel Enrique Lucani, José Manuel Bernabé Murcia, Antonio F. Skarmeta, Ivan Paez, Luca Cominardi, Michael Mercier, Pedro Velho, Yiannis Georgiou 0002, Charalampos Mainas, Anastassios Nanos, Javier Martin, Aitor Fernández Gómez, Roberto Gonzalez, Panos Ilias, Theodoros Chalazas, Keshav Chintamani |
HPDC | 11 |
| 2024 | Designing the Network Intelligence Stratum for 6G networks
Paola Soto, Miguel Camelo, Gines Garcia-Aviles, Esteban Municio, Marco Gramaglia, Evangelos A. Kosmatos, Nina Slamnik, Danny De Vleeschauwer, Antonio Bazco, Lidia Fuentes, Joaquín Ballesteros, Andra Lutu, Luca Cominardi, Ivan Paez, Sergi Alcalá-Marín, Livia Elena Chatzieleftheriou, Andres Garcia-Saavedra, Marco Fiore 0001 |
Comput. Networks | 14 |