L’activitat del CRAAX es focalitza en tres àrees temàtiques. La primera tracta el disseny de xarxes de nova generació, incloent routing, SDN, gestió de xarxes, seguretat, etc. La segona àrea està dedicada a escenaris intel·ligents com IoT, smart cities, cloud, fog, ITS i el desenvolupament de plataformes de “decision-making” per situacions crítiques (desastres, etc.), models col·laboratius de gestió de recursos, etc. La tercera es centra en l’aplicació de la tecnologia en el sector clínic, amb un clar focus a la integració de solucions que millorin la qualitat de vida dels pacients.
Per assolir els diferents reptes, el CRAAX és un grup multidisciplinar integrat per investigadors de la UPC i de l’Hospital Clínic de Barcelona.
El conjunt d’activitats realitzades pel CRAAX han donat lloc a la participació en multitud de projectes i contractes de recerca a tots nivells, tant a nivell públic com privat. A més, la recerca realitzada pel CRAAX està publicada en conferències i revistes internacionals d’alt impacte científic.
Finalment, part de l’activitat del CRAAX es dedica a la formació d’estudiants tant a nivell de grau, màster i doctorat.

Enviaments recents

  • Innovative predictive approach towards a personalized oxygen dosing system 

    Pascual Saldaña, Heribert; Masip Bruin, Xavier; Asensio Garcia, Adrian; Alonso Beltran, Albert; Blanco Vich, Isabel (Multidisciplinary Digital Publishing Institute (MDPI), 2024-01-24)
    Article
    Accés obert
    Despite the large impact chronic obstructive pulmonary disease (COPD) that has on the population, the implementation of new technologies for diagnosis and treatment remains limited. Current practices in ambulatory oxygen ...
  • Validation, Verification, and Testing (VVT) of future RISC-V powered cloud infrastructures: the Vitamin-V Horizon Europe Project perspective 

    Alonso García, Martí; Andreu Gerique, David; Canal Corretger, Ramon; Di Carlo, Stefano; Chenet, Cristiano; Costa Prats, Juan José; Gironès, Andreu; Gizopoulos, Dimitris; Karakostas, Vasileios; Otero Calviño, Beatriz; Papadimitriou, George; Rodríguez Luna, Eva; Savino, Alessandro (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Text en actes de congrés
    Accés obert
    Vitamin-V is a project funded under the Horizon Europe program for the period 2023-2025. The project aims to create a complete open-source software stack for RISC-V that can be used for cloud services. This software stack ...
  • NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS 

    Pavanello, Fabio; Marchand, Cedric; O’Connor, Ian; Orobtchouk, Regis; Mandorlo, Fabien; Letartre, Xavier; Cueff, Sebastien; Brando Guillaumes, Axel; Cazorla Almeida, Francisco Javier; Canal Corretger, Ramon (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Text en actes de congrés
    Accés obert
    This special session paper introduces the Horizon Europe NEUROPULS project, which targets the development of secure and energy-efficient RISC-V interfaced neuromorphic accelerators using augmented silicon photonics technology. ...
  • A 3D terrain generator: Enhancing robotics simulations with GANs 

    Arellano García, Silvia; Otero Calviño, Beatriz; Kucner, Tomasz Piotr; Canal Corretger, Ramon (Springer, 2023)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Simulation is essential in robotics to evaluate models and techniques in a controlled setting before conducting experiments on tangible agents. However, developing simulation environments can be a challenging and time-consuming ...
  • Exploring image transformations with diffusion models: A survey of applications and implementation code 

    Arellano García, Silvia; Otero Calviño, Beatriz; Tous Liesa, Rubén (Springer, 2023)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Diffusion Models have become increasingly popular in recent years and their applications span a wide range of fields. This survey focuses on the use of diffusion models in computer vision, specially in the branch of image ...
  • Leveraging network data analytics function and machine learning for data collection, resource optimization, security and privacy in 6G networks 

    Gkonis, Panagiotis; Nomikos, Nikolaos; Trakadas, Panagiotis; Sarakis, Lambros; Xylouris, George; Masip Bruin, Xavier; Martrat, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-30)
    Article
    Accés obert
    The full deployment of sixth-generation (6G) networks is inextricably connected with a holistic network redesign able to deal with various emerging challenges, such as integration of heterogeneous technologies and devices, ...
  • Cybersecurity in supply chain systems: the farm-to-fork use case 

    Leligou, Helen C.; Lakka, Alexandra; Karkazis, Panagiotis; Pita Costa, Joao; Marín Tordera, Eva; Dinis Santos, Henrique Manuel; Alvarez Romero, Antonio (2024-01-03)
    Article
    Accés obert
    Modern supply chains comprise an increasing number of actors which deploy different information technology systems that capture information of a diverse nature and diverse sources (from sensors to order information). While ...
  • A survey on IoT-edge-cloud continuum systems: Status, challenges, use cases, and open issues 

    Gkonis, Panagiotis; Giannopoulos, Anastasios; Trakadas, Panagiotis; Masip Bruin, Xavier; D'Andria, Francesco (2023-11-28)
    Article
    Accés obert
    The rapid growth in the number of interconnected devices on the Internet (referred to as the Internet of Things—IoT), along with the huge volume of data that are exchanged and processed, has created a new landscape in ...
  • A differential privacy protection-based federated deep learning framework to fog-embedded architectures 

    Gutiérrez Escobar, Norma; Otero Calviño, Beatriz; Rodríguez Luna, Eva; Utrera Iglesias, Gladys Miriam; Mus León, Sergi; Canal Corretger, Ramon (Elsevier, 2024-04)
    Article
    Accés obert
    Nowadays, companies collect massive quantities of data to enhance their operations, often at the expense of sharing user sensible information. This data is widely used to train Deep Learning (DL) neural networks to model, ...
  • A dispersion analysis of uniformly high order, interior and boundaries, mimetic finite difference solutions of wave propagation problems 

    Rojas, Otilio; Mendoza, Larry; Otero Calviño, Beatriz; Villamizar Morales, Jorge; Calderón, Giovanni; Castillo, José; Miranda, Guillermo (Springer, 2024)
    Article
    Accés obert
    A preliminary stability and dispersion study for wave propagation problems is developed for mimetic finite difference discretizations. The discretization framework corresponds to the fourth-order staggered-grid Castillo-Grone ...
  • Use of automatic 6-minute walking test recording system in patients with chronic respiratory diseases 

    Torres Castro, Rodrigo; Pascual Saldaña, Heribert; Alonso Beltran, Albert; Gimeno Santos, Elena; Palomo Gil, Maria; Barberà Mir, Joan Albert; Masip Bruin, Xavier; Batlle, Jaume; Bigorra Llosas, Joan; Blanco Vich, Isabel (2023-10-01)
    Article
    Accés obert
    To the editor: Physical capacity tests are used for the diagnosis, prognosis and monitoring of chronic respiratory diseases (CRD), such as Chronic Obstructive Pulmonary Disease (COPD) or Pulmonary Hypertension (PH).1 Among ...
  • An NIDS for known and zero-day anomalies 

    Hussain, Ayaz; Aguiló Gost, Francisco de Asis L.; Simó Mezquita, Ester; Marín Tordera, Eva; Masip Bruin, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Text en actes de congrés
    Accés obert
    Rapid development in the network infrastructure has resulted in sophisticated attacks which are hard to detect using typical network intrusion detection systems (NIDS). There is a strong need for efficient NIDS to detect ...

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