Xianping Du is an Associate Professor and multidisciplinary researcher with eight years of experience applying structural optimization, design automation, and machine learning to vehicle safety, biomechanics, and complex engineered systems. He bridges academia and industry through collaborations with MIT, FROD Motor, and the FAA on projects ranging from battery abuse safety and crash dummy development to unmanned vehicle ground-collision severity evaluation. A PhD from Embry-Riddle, he has authored over 20 peer-reviewed papers, served as a journal and conference reviewer, and delivered a keynote on data-mining methodologies for complex system design at USNCCM15. Known for translating data-driven methods into practical safety solutions, he maintains active research roles across Sun Yat-sen University and Rutgers University, reflecting a rare blend of hands-on modeling, experimental work, and cross-disciplinary impact.
8 years of coding experience
5 years of employment as a software developer
Master’s Degree, Master’s Degree at Hunan University
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Embry-Riddle Aeronautical University
Bachelor's degree, Bachelor's degree at Shandong University of Technology
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