Field Management & Standardization

En-Cheng LiouAssistant Professor

Department of Electrical Engineering, Ming Chi University of Technology

Core Technology

1. AI-Adaptive Wireless Localization: Integrating multi-modal wireless signals (WiFi, 5G, BLE, magnetic field) with semi-supervised learning and automatic feedback deployment, achieving "improving-with-use" sustainable optimization closed-loop localization, generating initial field model within 10 minutes. 2. AI-RAN Benchmarking Framework: First deployment-oriented benchmark for 6G AI-RAN indoor localization, comparing DNN, CNN, and Transformer models with unified metrics, achieving sub-10ms inference latency and sub-0.2m accuracy. 3. Data Sovereignty Technical Audit (DSTA) Architecture: Aligned with NIST IR 8425 standards, ensuring non-red supply chain compliance and end-to-end encrypted transmission. 4. Agent Operation Unified Service Platform: Coordinator Agent based on A2A protocol, providing standardized CI/CD pipeline management including agent code version control, Prompt Registry, Model Registry, and automated deployment to Kubernetes clusters. 5. International Standard Certification System: Pursuing ISO 42001, ISO 27001, ISO 27701, and ISO 17025, establishing a comprehensive trustworthiness framework from AI governance, information security, privacy protection to laboratory verification for robot systems.

Ta-Sung LeeDistinguished Professor

Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University

Core Technology

Focuses on the hardware development of LEO satellite ground station receiving equipment and the development of end-to-end testing systems for inter-satellite handover scenarios, covering RF-layer and protocol-layer verification including Doppler compensation, beam switching, and handover latency. Its distinguishing feature lies in targeting LEO satellite communications as the application domain, constituting system-level testing research within a specific vertical sector.