The 11th International Conference on Information and Education Innovations (ICIEI 2026) will be held from June 12-14, 2026, in Novara, Italy. Under the hosting of the University of Piemonte Orientale, Italy, and with technical collaboration from University of Kent, UK, University of Muenster, Germany, and University of Manchester, United Kingdom, the conference will unite a global community of researchers to present, discuss, and advance the latest ideas and discoveries.
This annual premier conference offers a dynamic platform for disseminating novel research and addressing both theoretical and practical challenges in the field. We invite the international research community to join us in shaping the future of information and education innovations at this pivotal event.
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- Quantum/Photonics Computing Systems
- Computing-in-Memory & Neuromorphic Chips
- AI-Driven Compiler Optimization
- Domain-Specific Language (DSL) Design
- Heterogeneous Computing Programming Models
- Lightweight Large Language Models
- Federated Learning/Differential Privacy
- Explainable AI (XAI)
- Synthetic Data Generation for Experiments
- AI-Generated STEM Content (Code/Math/Design)
- Credibility Verification & Anti-Hallucination
- Brain-Computer Interfaces in Education
- AR/VR Multisensory Feedback Systems
- Physics-Engine-Driven Educational Labs
- IoT-Enabled Digital Twins for Engineering
- Neural Rendering & 3D Reconstruction
- Generative AI Toolchains for STEM
- 6G/Semantic Communication for Education
- Space-Air-Ground Integrated Networks
- Adaptive Microservices Governance
- Edge-Cloud Cooperative Frameworks
- Open-Source Hardware Ecosystems
- Robotics-as-a-Service (RaaS)
- Cognitive Tutoring Systems
- Automated Assessment & Feedback
- Remote-Controlled Physical Labs
- Virtual-Physical Integrated Workflows
- Cross-Platform Virtual Laboratories
- Low-Code Educational Tool Development
- "AI+X" Micro-Degrees (Quantum/Bionics)
- Industrial Software Adaptation
- Cloud Platforms for Industry-Education Fusion
- Cross-Modal Retrieval (Text/Graph/Video)
- Vector Databases & RAG
- Multimodal Learning Diagnosis (Eye-tracking/Biosensors)
- Predictive Intervention for STEM Bottlenecks
- Blockchain for Academic Integrity
- Federated Learning for Privacy-Preserving Analytics