SUBMIT ONLINE: https://www.easychair.org/conferences/?conf=prai2026  (Please choose Special Session 8)

Data-Driven Domain AI Systems emphasize building complete AI systems in which domain data guide system design, learning workflows, and decision-making processes throughout the entire system lifecycle. Rather than focusing on specific model paradigms such as generative or multimodal large models, this session highlights system-level methodologies that integrate domain-aware data modeling, task-oriented learning, deployment, and validation. The session targets real-world domain scenarios where AI systems must operate under strict constraints, limited or heterogeneous data, and strong requirements for reliability, robustness, and interpretability. By focusing on data-driven system design across multiple domains, this session complements application-oriented and model-centric sessions and provides a unified platform for system-level AI research with demonstrated practical impact.

Chair:		Chair:
Shaoning Zeng Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, China Email: zeng@csj.uestc.edu.cn		Jianhang Zhou Shanghai University, China Email: richzhou@shu.edu.cn

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

• - Data-driven methodologies for domain-specific AI systems
  - Domain-aware data modeling, representation, and annotation
  - Learning from limited, noisy, imbalanced, or heterogeneous domain data
  - Synthetic data generation and data augmentation for domain applications
  - Data quality, data governance, and lifecycle management in AI systems
  - Domain-adaptive and task-specific learning models
  - Knowledge-enhanced and constraint-aware learning using domain data
  - Explainable and trustworthy AI for domain AI systems
  - System-level design and integration of domain AI solutions
  - Deployment, monitoring, and validation of domain AI systems
  - Evaluation methodologies for data-driven AI systems in real-world domains
  - Edge and embedded AI systems under domain data constraints

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