Call for Papers

The ImagEAT Workshop aims to explore how technological innovation is reshaping the agri-food and nutrition sectors. By integrating advanced imaging techniques, artificial intelligence (AI), augmented reality (AR), and neuroscience, researchers can unlock new possibilities for enhancing food safety, quality control, traceability, and consumer engagement.

This interdisciplinary event will provide a platform for presenting the latest research and applications in:

• Imaging methods for analyzing food composition, structure, and contamination

• AI models for food classification, safety assessment, and personalized nutrition

• AR solutions for consumer education, product traceability, and interaction

• Brain imaging and behavioral analysis to investigate food choices and perceptions
  
  

We welcome contributions that address both theoretical advancements and real-world implementations in the context of food science, human nutrition, and AI-powered decision-making.

Topics of interest include but are not limited to:

• AI-based food quality and safety assessment.

• Image segmentation and classification for food products.

• Multi-modal imaging (NMR, MSI, hyperspectral, CT, NIR, X-ray) for food analysis

• Anomaly detection and contaminant identification in food imaging.

• Deep learning and generative models for food imaging.

• AI-driven personalized nutritional recommendations.

• AR applications for food traceability, safety, and consumer awareness.

• Neuroscience-based approaches to food decision-making analysis.

• Environmental Scanning Electron Microscopy (ESEM) for food imaging.

Submissions to the ImagEAT Workshop must be made electronically via the EasyChair submission platform. Manuscripts must be original and unpublished, and must not substantially duplicate any work that has been previously published or is under review elsewhere.

All papers must be written in English and prepared using the Springer Lecture Notes in Computer Science (LNCS) format. Both LaTeX and Microsoft Word templates are accepted. Authors can refer to the official Springer author guidelines to download the appropriate templates.

The maximum length of the manuscript is 12 pages, including figures, tables, and references. Submissions will undergo a double-blind peer-review process, and will be evaluated based on originality, scientific quality, methodological soundness, clarity, and relevance to the workshop topics.

Upon acceptance, at least one author must register, attend the workshop in person, and present the paper. Accepted papers will be included in the Workshop Proceedings of ICIAP 2025 and published as part of the Lecture Notes in Computer Science (LNCS) series by Springer.  The LNCS volumes are indexed in major scientific databases, including Web of Science, Scopus, EI Engineering Index, Google Scholar, and DBLP.

• Paper submission deadline: June 14, 2025  June 26, 2025 June 30, 2025

• Notification of acceptance: July 1, 2025 July 3, 2025

• Camera-ready submission: July 10, 2025

• Workshop date: September 15 or 16, 2025