Demo Data from EDBT 2026 / reviewers in the wild / expert
David Rico-Menendez
dblp:380/5402
· DBLP profile ↗
4ranked-venue papers
2as first author
4since 2021 · last 2026
0009-0002-3578-5517ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 4 · 2 first-author · 4 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
3 papers |
Internet of things and sensor networks · 32% Internet architecture and protocols · 32% Network management and operations · 16% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols
deterministic networking |
1.5 | 2 | 2024 | Experimental Evaluation of a Multi-Domain TSN Scenario in Industry 4.0 · MobiCom 2024 Artificial Intelligence Control Plane for Deterministic Networks Proof-of-Concept · MobiCom 2024 |
Cellular and mobile networks
5g |
0.8 | 1 | 2024 | Experimental Evaluation of a Multi-Domain TSN Scenario in Industry 4.0 · MobiCom 2024 |
Network management and operations
intent-based networking |
0.8 | 1 | 2024 | Artificial Intelligence Control Plane for Deterministic Networks Proof-of-Concept · MobiCom 2024 |
Internet of things and sensor networks
sensor data |
0.3 | 1 | 2026 | NextSense: A Semi-Synthetic Sensing Data generation Platform · INFOCOM 2026 |
Embedded and real-time systems › real-time communication › real-time networks
time-sensitive networking |
0.2 | 1 | 2024 | Experimental Evaluation of a Multi-Domain TSN Scenario in Industry 4.0 · MobiCom 2024 |
Methods — techniques the papers use, named apart from their topics
TSN · 1.5IEEE 802.11 · 1.53GPP 5G · 1.5semi-synthetic data generation · 1.0digital twin · 0.8artificial intelligence · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | NextSense: A Semi-Synthetic Sensing Data generation Platform
David Rico-Menendez, Pablo Picazo-Martínez, Antonio de la Oliva, Carlos J. Bernardos, Chathura Sarathchandra, Alain Mourad |
INFOCOM | 1 |
| 2024 | Artificial Intelligence Control Plane for Deterministic Networks Proof-of-ConceptabstractThis paper presents the design and implementation of an Artificial Intelligence Control Plane (AICP) for deterministic networks, emphasizing the Proof-of-Concept (PoC) demonstration. The AICP framework integrates AI, digital twin technology, and real-time telemetry to manage complex network environments, ensuring reliable and low-latency communication. The PoC showcases the practical viability of the AICP by dynamically adapting to varying network demands and maintaining stringent to the Key Performance Indicator (KPI)s of the service. Extensive testing and real-world simulations highlight the framework's potential to enhance the efficiency and resilience of industrial communication networks. Alejandro Calvillo-Fernandez, Matteo Ravalli, Juan Brenes Baranzano, Pietro G. Giardina, Jose Luis Carcel, David Rico-Menendez, Fernando Agraz, Salvatore Spadaro, Luis Velasco 0001 |
MobiCom | 6 |
| 2024 | Experimental Evaluation of a Multi-Domain TSN Scenario in Industry 4.0abstractThe advent of 5G deployments and the anticipation of 6G have initiated a concerted effort to define new network and application services that leverage these technologies. A key focus of this effort is deterministic networking, which provides the reliability, time sensitivity, and predictability essential for supporting critical services and applications. This article presents a solution to support multi-domain deterministic communications, integrating various technology-specific deterministic networking solutions---namely IEEE 802.11, IEEE 802.1 TSN, and 3GPP 5G domains---over an IETF DetNet data plane. Our goal is to create a realistic infrastructure for developing the next generation of deterministic services. Key contributions include the design, deployment, and performance characterization of the multi-domain data plane, as well as its integration into a real-life use case such as the remote control of a robotic dog. David Rico-Menendez, Pablo Picazo-Martínez, Antonio de la Oliva |
MobiCom | 1 |
| 2024 | 6G Architecture for Enabling Predictable, Reliable and Deterministic Networks: the PREDICT6G CaseabstractThe PREDICT-6G framework, a novel 6G network architecture aiming to provide reliable, predictable, and time sensitive networking across diverse applications, integrates a multi-technology, multi-domain network infrastructure, creating a homogeneous and deterministic E2E connectivity across wired and wireless elements. This architecture addresses the evolving needs of specialized applications, setting a new standard for future networking technologies. A key component is the AI-driven Multi-stakeholder Inter-domain Control-Plane, which ensures the seamless delivery of time-sensitive services. Péter Szilágyi, Luis M. Contreras 0001, David Rico-Menendez, Pietro G. Giardina, Antonio de la Oliva |
WCNC | 3 |