Call for Papers


Topics are interested but not limited to:

  • 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

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