Christophe Hurter

Christophe Hurter is a Researcher at the National School of Civil Aviation, specializing in Artificial Intelligence, Data Visualization, and Human-Computer Interaction. His work bridges Aviation Technology, Neuroscience, and Extended Reality (XR), focusing on enhancing human performance through AI-driven systems.

• Affiliation: National School of Civil Aviation (Faculty Member, AI axis)

Research Interests include:

• Explainable AI for aviation systems
• Neurophysiological monitoring using thermal imaging
• Eye tracking and cognitive processes in memory retrieval
• Graph and trajectory visualization for air traffic control
• Augmented/Virtual Reality interfaces for remote collaboration
• Event-based vision systems for spiking neural networks

Recent article trends highlight his expertise in machine learning for medical diagnostics, XR applications in aviation, and visual analytics for human factors research. His work often addresses real-world challenges in air traffic control, piloting training, and biomedical data interpretation.