Advancing AI for Education and Infrastructure: Generative AI, probabilistic ML, and physics-informed models for decision-making, adaptive learning support, bias mitigation, and resilient infrastructure maintenance.
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Dr. Wei Zheng advances AI for education and infrastructure by developing generative AI, agentic frameworks, and probabilistic machine learning for knowledge extraction and decision-making. His work spans adaptive learning systems that address bias, ethics, and cultural relevance in education, and physics-informed models for predicting infrastructure deterioration under uncertainty. By integrating large language models, reinforcement learning, and multi-scale simulations, his research drives innovation in personalized instruction and resilient infrastructure maintenance.
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