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• Agentic AI: autonomous, tool-using systems and their reliability.
• World Models: learned environment dynamics for perception and planning.
• AI Assurance: trustworthy, reliable AI under adversarial and distribution stress, including uncertainty quantification, adversarial machine learning, robustness to natural variation, out-of-distribution generalization, and self-supervised representation learning.