I study how people and autonomous systems build mutual trust on the road, combining immersive driving experiments with predictive modeling to make automated mobility legible and intuitive for everyone around it.
I design and evaluate intelligent driver interfaces, focusing on how drivers process in-vehicle information, augmented reality cues, and real-time feedback to optimize situational awareness and cognitive workload in automated driving.
I build predictive world models that allow autonomous systems to forecast dynamic scene evolution, utilizing these simulated environments for robust trajectory planning, safety-critical scenario synthesis, and closed-loop validation.
I leverage VR, AR, and mixed-reality platforms to prototype and test novel driver interfaces and complex driving scenarios that are unsafe, expensive, or difficult to stage in the real world, bridging digital prototypes and real-world mobility.