Dr James Hui
- System Simulation Product Manager
- Wind River, UK
Dr. James Hui is the System Simulation Product Manager at Wind River and a Chartered Engineer (CEng) with the Institution of Engineering and Technology (IET). He was previously the Embedded Software Team Lead and Technical Specialist for Thales UK. James holds a PhD in real-time machine learning for predictive maintenance. His professional interests include a range of modern software and systems engineering practices, such as: model-based engineering, auto-coding, test-driven development, and Agile/Lean methodologies for product delivery teams.
Sessions
-
AI and ML in Testing
Shift-Left and Continuous Functional Testing with System Simulation
AI and ML are emerging in aerospace and avionics, raising complex testing and certification challenges, presenting significant verification and validation challenges. AI use cases are broadly categorized into narrow/specialized AI (e.g., object detection) and generative models, which pose greater unpredictability due to non-deterministic outputs. Current architectures favour non-safety-critical, passive AI/ML systems operating in parallel with primary avionics functions—supporting anomaly detection, predictive maintenance, and decision support. In light of limited data availability, what methods are most appropriate for testing and validating? How do you approach verification and validation of non-deterministic AI systems within the constraints of deterministic safety standards like ED-324/DO-178C? Where will EUROCAE technical standards (WG114) support the development of systems and the certification of aeronautical systems implementing AI-technologies?