AID2SEE 2026
Mostaganem, 1-2 June 2026
🧭 Conference Overview
The AID2SEE 2026 international conference aims to provide a leading forum for researchers, engineers, and practitioners to present cutting-edge AI-driven and data science solutions for intelligent, reliable, and context-aware decision-making in real-world domains.
In a rapidly evolving digital world, Artificial Intelligence (AI) and Data Science have become central to designing systems that assist, automate, and improve complex decisions in areas such as healthcare, energy, agriculture, education, and smart cities.
AID2SEE emphasizes interdisciplinary collaboration to address key societal and environmental challenges through intelligent and responsible AI-based approaches.
🎯 Conference Themes
We invite original contributions on models, tools, and applications of AI and data science for smart decision-making. Topics of interest include but are not limited to:
🔹 Core Technologies
- Artificial Intelligence and Machine Learning
- Deep Learning and Generative AI (LLMs, diffusion models)
- Data Mining and Knowledge Discovery
- Explainable AI and Human-in-the-Loop Learning
- Data Fusion, Integration, and Uncertainty Management
🔹 Smart Decision Systems
- Automated and Intelligent Decision-Making
- Adaptive and Context-Aware Systems
- Multi-agent Systems and Optimization
- Trust, Ethics, Fairness, and Accountability in AI
- Security, Privacy, and Robustness of AI Models
🔹 Application Areas
- Health and Disability
- Agriculture and Precision Farming
- Energy and Environment
- Smart Cities and Urban Mobility
- Education and Learning Technologies
📚 Publication and Review
All accepted papers will be published by Springer in the Lecture Notes in Computer Science (LNCS) series after peer review via the EasyChair platform.
Submission categories:
- Full papers: 12–15 pages
- Short papers: 6–8 pages
Papers must follow the Springer LNCS template and be written in English.