World's Best Scientists 2026 revealed!
Albert Cabellos-Aparicio

Albert Cabellos-Aparicio

D-Index & Metrics

Computer Science

D-Index
40
Citations
5210
World Ranking
9430
National Ranking
147

Overview

Albert Cabellos-Aparicio is affiliated with the Universitat Politècnica de Catalunya in Spain. Their research primarily spans the fields of Computer Science and Engineering, with a substantial focus on subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, and Artificial Intelligence. Additional work touches on Aerospace Engineering and Electronic, Optical, and Magnetic Materials.

The scientist's contributions include numerous publications in several academic venues. Frequent publication platforms include arXiv (Cornell University), Computer Networks, the Journal of Network and Systems Management, IEEE Network, and IEEE Access.

Key topics of their research encompass Software-Defined Networks and 5G, Advanced Graph Neural Networks, Software System Performance and Reliability, and Metamaterials and Metasurfaces Applications. Other areas of interest include Network Traffic and Congestion Control, Advanced Wireless Communication Technologies, and Advanced Memory and Neural Computing.

The following notable recent papers illustrate the range of their work:

  • Toward Intelligent Metasurfaces: The Progress from Globally Tunable Metasurfaces to Software-Defined Metasurfaces with an Embedded Network of Controllers, 2020, Advanced Optical Materials
  • Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case, 2022, Computer Communications
  • Network digital twin: context, enabling technologies, and opportunities, 2022, UPCommons (Polytechnic University of Catalonia)
  • Unveiling the potential of Graph Neural Networks for robust Intrusion Detection, 2022, ACM SIGMETRICS Performance Evaluation Review
  • Immersive Interconnected Virtual and Augmented Reality: A 5G and IoT Perspective, 2020, Journal of Network and Systems Management

Albert Cabellos-Aparicio has collaborated frequently with several researchers, including Pere Barlet-Ros, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, and Miquel Ferriol-Galmés.

Best Publications

  • Knowledge-Defined Networking

    Albert Mestres;Alberto Rodriguez-Natal;Josep Carner;Pere Barlet-Ros

  • RouteNet: leveraging graph neural networks for network modeling and optimization in SDN

    Krzysztof Rusek;José Suárez-Varela;Paul Almasan;Pere Barlet-Ros

  • Toward Intelligent Metasurfaces: The Progress from Globally Tunable Metasurfaces to Software-Defined Metasurfaces with an Embedded Network of Controllers

    Odysseas Tsilipakos;Anna C. Tasolamprou;Alexandros Pitilakis;Fu Liu

  • Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case

    Paul Almasan;José Suárez-Varela;Arnau Badia-Sampera;Krzysztof Rusek

  • Detection Techniques for Diffusion-based Molecular Communication

    Ignacio Llatser;Albert Cabellos-Aparicio;Massimiliano Pierobon;Eduard Alarcon

  • Graphene-enabled wireless communication for massive multicore architectures

    Sergi Abadal;Eduard Alarcón;Albert Cabellos-Aparicio;Max Lemme

  • A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

    Unknown

  • Network Digital Twin: Context, Enabling Technologies, and Opportunities

    Unknown

  • Digital Metasurface Based on Graphene: An Application to Beam Steering in Terahertz Plasmonic Antennas

    Seyed Ehsan Hosseininejad;Kasra Rouhi;Mohammad Neshat;Albert Cabellos-Aparicio

  • Analysis of the impact of sampling on NetFlow traffic classification

    Valentín Carela-Español;Pere Barlet-Ros;Albert Cabellos-Aparicio;Josep Solé-Pareta

  • Reprogrammable Graphene-based Metasurface Mirror with Adaptive Focal Point for THz Imaging

    Seyed Ehsan Hosseininejad;Kasra Rouhi;Mohammad Neshat;Reza Faraji-Dana

  • Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities

    Unknown

  • Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN

    Krzysztof Rusek;José Suárez-Varela;Albert Mestres;Pere Barlet-Ros

  • Diffusion-based physical channel identification in molecular nanonetworks

    Nora Garralda;Ignacio Llatser;Albert Cabellos-Aparicio;Eduard Alarcón

  • LISP-TREE: A DNS Hierarchy to Support the LISP Mapping System

    L Jakab;A Cabellos-Aparicio;F Coras;D Saucez

  • Programmable Metasurfaces: State of the Art and Prospects

    Fu Liu;Alexandros Pitilakis;Mohammad Sajjad Mirmoosa;Odysseas Tsilipakos

  • Unveiling the potential of Graph Neural Networks for robust Intrusion Detection.

    David Pujol-Perich;José Suárez-Varela;Albert Cabellos-Aparicio;Pere Barlet-Ros

  • Immersive Interconnected Virtual and Augmented Reality: A 5G and IoT Perspective

    Maria Torres Vega;Christos Liaskos;Sergi Abadal;Evangelos Papapetrou

  • Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN

    Krzysztof Rusek;José Suárez-Varela;Albert Mestres;Pere Barlet-Ros

  • Computing and Communications for the Software-Defined Metamaterial Paradigm: A Context Analysis

    Sergi Abadal;Christos Liaskos;Ageliki Tsioliaridou;Sotiris Ioannidis

  • N3Sim: Simulation framework for diffusion-based molecular communication nanonetworks

    Ignacio Llatser;Deniz Demiray;Deniz Demiray;Albert Cabellos-Aparicio;D. Turgay Altilar

  • RouteNet-Fermi: Network Modeling With Graph Neural Networks

    Unknown

  • Use of Terahertz Photoconductive Sources to Characterize Tunable Graphene RF Plasmonic Antennas

    Albert Cabellos-Aparicio;Ignacio Llatser;Eduard Alarcon;Allen Hsu

  • Simulation-based evaluation of the diffusion-based physical channel in molecular nanonetworks

    Nora Garralda;Ignacio Llatser;Albert Cabellos-Aparicio;Massimiliano Pierobon

  • On the area and energy scalability of wireless network-on-chip: a model-based benchmarked design space exploration

    Sergi Abadal;Mario Iannazzo;Mario Nemirovsky;Albert Cabellos-Aparicio

  • Networking challenges and principles in diffusion-based molecular communication

    Ignacio Llatser;Albert Cabellos-Aparicio;Eduard Alarcon

  • Time-Domain Analysis of Graphene-Based Miniaturized Antennas for Ultra-Short-Range Impulse Radio Communications

    Sergi Abadal;Ignacio Llatser;Albert Mestres;Heekwan Lee

  • Physical channel characterization for medium-range nanonetworks using flagellated bacteria

    Maria Gregori;Ignacio Llatser;Albert Cabellos-Aparicio;Eduard Alarcón

Frequent Co-Authors

Eduard Alarcon
Eduard Alarcon Universitat Politècnica de Catalunya
Max C. Lemme
Max C. Lemme RWTH Aachen University
Maria Kafesaki
Maria Kafesaki University of Crete
Josep Torrellas
Josep Torrellas University of Illinois at Urbana-Champaign
Dino Farinacci
Dino Farinacci lispers.net
Eleftherios N. Economou
Eleftherios N. Economou Foundation for Research and Technology Hellas
Costas M. Soukoulis
Costas M. Soukoulis Iowa State University
Andreas Pitsillides
Andreas Pitsillides University of Cyprus
Sergei A. Tretyakov
Sergei A. Tretyakov Aalto University
Mario Nemirovsky
Mario Nemirovsky Barcelona Supercomputing Center

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a variety of related fields and flexible learning options. Online degree programs have become especially popular, offering affordability and convenience for students worldwide. For those interested in engineering, pursuing the cheapest online master's mechanical engineering programs can be a cost-effective way to sharpen technical skills while studying remotely.

If you’re passionate about science, several accredited institutions offer online physics degrees that cover topics from classical mechanics to quantum theory. Meanwhile, technology enthusiasts may consider a path in data science, as the demand for specialists grows rapidly. Learn more about academic pathways and affordable tuition by exploring data science degrees.

For those aiming to enter the electronics industry or work with emerging tech, an electrical engineering degree online admissions process provides access to top programs without the need to relocate. Whichever path you choose, these online degrees offer valuable knowledge and flexible career opportunities beyond computer science.

Best Scientists Citing Albert Cabellos-Aparicio

Trending Scientists