SUBMIT ONLINE: https://www.easychair.org/conferences/?conf=prai2026  (Please choose Special Session 11)

With the rapid growth of data generated by modern telescopes and astronomical facilities, there is an increasing demand for advanced computational technologies. Deep learning and artificial intelligence (AI) have become essential tools for processing, analyzing, and interpreting massive astronomical datasets. This special session focuses on the development and application of AI methods in astronomy, including astronomical image processing, modeling and simulation of cosmic phenomena, data mining, and predictive analytics. The session aims to bring together researchers and practitioners from both AI and astronomy communities to exchange innovative solutions addressing challenges such as exoplanet discovery, cosmic phenomenon simulation, large-scale dataset visualization, and the integration of AI with telescope operations. Ethical considerations and best practices for AI-driven astronomy will also be discussed. Through this session, participants will explore how AI can transform astronomical research and drive new scientific discoveries in cosmology and astrophysics.

Chair:

Prof. Li Zhang, Guizhou University, China Email: lizhang.science@gmail.com

RELATED TOPICS
Topics of interest include, but are not limited to:

• Intelligent deep learning architectures for astronomical image analysis and restoration
• AI-enabled modeling, simulation and reconstruction of cosmic structures and phenomena
• Big data mining and knowledge discovery from massive astronomical data repositories
• Machine learning for exoplanet identification, detection and physical characterization
• Intelligent integration and autonomous operation of AI systems with astronomical observatories
• Transfer learning, self-supervised learning and few-shot learning for astronomical data
• Advanced visualization and interactive analytics for large-scale astronomical datasets
• Predictive modeling and data-driven inference in cosmology and astrophysics
• Cross-disciplinary collaboration, capacity building and community practices between AI and astronomy
• Ethical challenges, fairness, transparency and responsible use of AI in space research
  
  

IMPORTANT DATE
Final Submission Deadline: July 05, 2026
Final Notification Date: July 20, 2026
Final Registration Deadline: July 25, 2026