The 12th International Conference on Information and Education Innovations (ICIEI 2027)

The 12th International Conference on Information and Education Innovations (ICIEI 2027) showcases the integration of advanced computing architectures and artificial intelligence within modern educational ecosystems to drive innovation in learning and information technology.

Key Topics

• Networked Systems and Infrastructure
  • Adaptive microservices governance
  • Robotics-as-a-Service (RaaS)
  • Edge-cloud cooperative frameworks
  • Open-source hardware ecosystems
  • 6G and semantic communication for education
  • Space-air-ground integrated networks
• Educational Technology Innovations
  • Automated assessment and feedback
  • Industrial software adaptation
  • Remote-controlled physical labs
  • Low-code educational tool development
  • Virtual-physical integrated workflows
  • Cloud platforms for industry-education fusion
  • Cognitive tutoring systems
  • AI+X micro-degrees in quantum and bionics
  • Cross-platform virtual laboratories
• Core Computing and AI Technologies
  • Federated learning and differential privacy
  • Domain-specific language (DSL) design
  • Quantum and photonics computing systems
  • Lightweight large language models
  • AI-driven compiler optimization
  • Explainable AI (XAI)
  • Credibility verification and anti-hallucination
  • Heterogeneous computing programming models
  • Computing-in-memory and neuromorphic chips
  • Synthetic data generation for experiments
  • AI-generated STEM content
• Data Engineering and Analytics
  • Cross-modal retrieval for text, graphs, and video
  • Multimodal learning diagnosis via eye-tracking and biosensors
  • Predictive intervention for STEM bottlenecks
  • Vector databases and RAG
  • Blockchain for academic integrity
  • Federated learning for privacy-preserving analytics
• Immersive Technologies and HCI
  • Generative AI toolchains for STEM
  • Neural rendering and 3D reconstruction
  • AR/VR multisensory feedback systems
  • Brain-computer interfaces in education
  • Physics-engine-driven educational labs
  • IoT-enabled digital twins for engineering

Who should Attend

• Research scientists specializing in artificial intelligence and quantum computing
• Higher education administrators and digital transformation strategists
• Software engineers and developers of educational platforms
• Information technology professionals focusing on 6G and cloud infrastructure
• STEM educators interested in generative AI and virtual laboratories
• Data privacy experts and blockchain developers
• Instructional designers and HCI researchers