The 25th International Conference on Algorithms and Architectures for Parallel Processing

Zhengzhou, Henan, China

October 30 - November 02, 2025

Important Dates

Paper Submission
July 15, 2025 (AoE time)
August 31, 2025 (AoE time)
Author Notification
September 15, 2025
Camera-Ready Submission
September 30, 2025
Registration Due
September 30, 2025
Conference Dates
October 30- November 02, 2025

Organizing Committee

Chairs
Ke Zhu, Henan Normal University, China
Xuefeng Wei, Ludong University, China
Hao Zhang, Yangzhou University, China
Lei Yuan, Guangxi Normal University, China
Hao Li, Central China Normal University, China
Jingxiu Huang,South China Normal University , China
Yang Wang, Nanjing Normal University, China

SmartEduPP 2025


Download CFP: PDF  

SmartEduPP: ICA3PP Workshop on Smart Education Powered by Parallel and Distributed Processing: In the era of rapid advances in artificial intelligence (AI), the education sector is undergoing a profound transformation. Emerging technologies such as large language models (LLMs), machine learning, natural language processing, and multimodal AI systems are reshaping how knowledge is delivered, acquired, and managed. Smart education, empowered by these innovations, is moving beyond digitalization toward truly intelligent and adaptive learning ecosystems. Moreover, parallel and distributed processing (PDP) technologies are becoming essential infrastructure in supporting AI-driven education. From model inference at the edge to large-scale knowledge graph construction and optimization in the cloud, PDP underpins the scalability, responsiveness, and reliability of intelligent learning systems. This workshop seeks to bring together researchers and practitioners to discuss the design and implementation of scalable, intelligent, and secure education platforms powered by PDP. It aims to explore how parallel and distributed architectures can support core functions in AI-enhanced education, such as personalized learning, real-time analytics, intelligent resource allocation, and adaptive system optimization.

We invite submissions from academia, government and industry that present novel research on the topics as following areas:

  • Scalable distributed architectures for smart education platforms
  • Resource scheduling and load balancing for educational systems
  • Edge/fog/cloud-based architectures for ubiquitous learning
  • Federated learning and privacy-preserving infrastructures
  • System-level optimizations for education-related services
  • Parallel algorithms for personalized learning and adaptive content delivery
  • Real-time analytics for learning behavior tracking and prediction
  • Big data management in smart campuses
  • AI-enhanced diagnosis and feedback systems
  • Knowledge graphs and semantic reasoning for educational content
  • LLM-based educational assistants and generative AI in classrooms
  • Gamification and immersive learning experiences via PDP
  • System interoperability and integration across smart learning environments
  • Ethical, legal, and fairness considerations in smart education systems
  • Intelligent assessment and autonomous feedback mechanisms

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