SCOPE

The growing pervasiveness of Computational Intelligence is fundamentally transforming the way complex problems are modeled, analyzed, and solved across a wide spectrum of scientific and applied domains. From pattern recognition to generative modeling, from decision support to explainable reasoning, intelligent systems are becoming a cornerstone of modern research and innovation. Main topics include the design and analysis of neural network architectures for tasks such as computer vision, medical imaging, and numerical pattern recognition, where the extraction of meaningful structure from complex data remains an open and active research challenge. The workshop places particular attention on explainable, trustworthy, and human-centered AI, including fuzzy systems, interpretable models, and decision support frameworks that ensure transparency and reliability in automated reasoning. As intelligent systems are increasingly deployed in sensitive and high-stakes contexts, the ability to understand, justify, and audit their behavior becomes as important as their predictive performance.

TOPICS

Topics of interest are, but not limited to:

  • Deep learning for computer vision
  • Medical imaging and AI-assisted diagnosis
  • Object detection, segmentation, and tracking
  • Remote sensing and satellite image analysis
  • Neural architectures for numerical and temporal pattern recognition
  • Time series analysis and forecasting with deep learning
  • Anomaly detection in complex data streams
  • Representation learning and feature extraction
  • Generative models for data synthesis and augmentation
  • Multimodal learning and cross-modal generation
  • Explainability methods for deep neural networks
  • Fuzzy systems and interpretable reasoning
  • Hybrid symbolic-neural approaches
  • Transfer learning and domain adaptation

PROGRAM CO-CHAIRS

  • Emanuel Di Nardo
  • Angelo Casolaro
  • Domenico Amato
  • Salvatore Calderaro
  • Angelo Ciaramella

IMPORTANT DATES

  • Extended Abstract Submission Deadline: March 25, 2026 April 9, 2026 (Extended)
  • Notification of Acceptance: April 25, 2026
  • Camera-ready Deadline: May 15, 2026
  • Workshop Dates: June 9-12, 2026

PUBLICATION AND PAGE LIMITATIONS

  • Contributions will be published on the SPRINGER “Smart Innovation Systems and Technologies” (see Springer Guidelines for formatting guidelines and templates). The minimum paper length is 15 pages.
  • Manuscripts should be submitted through the Easy Chair link: https://easychair.org/conferences/?conf=wirn2026
  • Please specify in the abstract the name of the title of the workshop: “Computational Intelligence in Modern Systems”

REGISTRATION FEE

Registration must be done through bank transfer and receipts must be exhibited at the conference.
Details can be found at https://siren.science/registration.html