Dr. Ming Chen is a researcher in ocean engineering whose work integrates composite structures with artificial intelligence–driven design methodologies. His research focuses on intelligent modeling, uncertainty quantification, and reliability optimization of underwater composite shells, addressing complex buckling and structural performance challenges. He has developed data-driven and Bayesian machine learning frameworks that enhance prediction accuracy while significantly reducing computational cost, validated through experimental testing. His scholarly contributions include multiple articles in internationally indexed journals, an active patent output, and leadership in several research projects. Professionally, he contributes through academic teaching, research supervision, and advancing intelligent design approaches for next-generation ocean engineering structures.

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