Workshop on Cognitive Assistants and Data Fusion (CogniBlend)


CogniBlend is a workshop that will bring together experts from academia to discuss the latest advances in intelligent systems. Topics to be covered include, among others, Federated Learning, Robotics in Healthcare, Precision Agriculture, Classification using advanced image analysis techniques, and the emerging concept of Digital Twins.

Participants will gain insights into the challenges, opportunities, and realworld applications of these technologies. The workshop will also address Perceptual Comparison, Uncertainty, and Aggregation Theory, providing a comprehensive perspective on cutting-edge advancements in learning and decision-making frameworks.

Join us at CogniBlend to explore the landscape of intelligent systems and their practical implications in various sectors.

Key Themes

  • Cognitive Assistants: Explore the frontiers of AI-powered cognitive assistants designed to augment human capabilities, enhance decision-making processes, and seamlessly integrate with various domains. From healthcare to smart environments, delve into the applications reshaping the way we interact with intelligent systems. 
  • Data Fusion: Examine the details of data fusion, where diverse data sources converge to improve understanding of complex scenarios. The discussions will cover techniques, challenges, and breakthroughs in integrating and interpreting information, acknowledging inherent uncertainty.


Possible areas of relevance for the workshop encompass not only specific applications but also theoretical approaches grounded in, though not restricted to:

  • Federated Learning and Privacy-preserving machine learning
  • Digital Twins and Applications
  • Perceptual Comparison and computational models of perception
  • Robotics and Healthcare
  • Cognitive Assistant
  • Precision Agriculture
  • Uncertainty and Aggregation Theory (Handling uncertainty in decisionmaking)
  • Applications in Image, Classification and Explainable AI
  • Swarm Intelligence and Collective decision-making
  • Applications in disaster response and environmental monitoring
  • Reinforcement Learning in Multi-Agent Environments
  • Experiences and Case Studies in Real-world implementations

Organizing Committee

  • Jaime A. Rincon Arango - Universidad de Burgos (Spain)
  • Cedric Marco-Detchart - Universitat Politècnica de València (Spain)

Program Committee

  • Jaime A. Rincon Arango - Universidad de Burgos (Spain)
  • Cedric Marco-Detchart - Universitat Politècnica de València (Spain)
  • Vicente Julian - Universitat Politècnica de València (Spain)
  • Carlos Carrascosa Casamayor - Universitat Politècnica de València (Spain)
  • Paulo Novais - Universidade do Minho (Portugal)
  • Carlos Lopez-Molina - Universidad Pública de Navarra (Spain)
  • Laura de Miguel Turullols - Universidad Pública de Navarra (Spain)
  • Graçaliz P. Dimuro - Universidade Federal do Rio Grande (Brazil)
  • Giancarlo Lucca - Universidade Católica de Pelotas (Brazil)

General deadlines

  • General deadline

    15th March, 2024
    5th April, 2024
    12th April, 2024

  • Demonstrations deadline

    22nd March, 2024
    12th April, 2024
    26th April, 2024

  • Notification of acceptance

    26th April, 2024
    3rd May, 2024
    10th May, 2024

  • Camera-Ready papers

    17th May, 2024
    24th May, 2024

  • Conference Celebration

    26th-28th June, 2024


All proposed papers must be submitted in electronic form (PDF format) using the PAAMS conference management system.