Jiqian Dong is a transportation researcher and Ph.D. student at Purdue University with eight years of research experience focused on connected and automated transportation systems. He works full-time at the Center for Connected and Automated Transportation (CCAT) and brings cross-disciplinary training from civil and computer engineering to problems in cooperative sensing, localization, and planning for autonomous vehicles. His industry internships at Toyota InfoTechnology Center and DiDi produced patent disclosures and machine-learning–based planning work, reflecting a mix of theoretical rigor and applied systems development. Educated at Purdue, Carnegie Mellon, and Tongji University with top grades, he pairs strong academic performance with hands-on research that bridges algorithm development and real-world mobility testing.
8 years of coding experience
Bachelor of Engineering - BE, Civil Engineering, 4.5/5.0, Bachelor of Engineering - BE, Civil Engineering, 4.5/5.0 at Tongji University
Doctor of Philosophy - PhD, Civil Engineering/ Transportation, Doctor of Philosophy - PhD, Civil Engineering/ Transportation at Purdue University
Master's degree, Civil Engineering (Advanced Infrastructure System), 3.95/4.0, Master's degree, Civil Engineering (Advanced Infrastructure System), 3.95/4.0 at Carnegie Mellon University
Contributions:36 pushes, 1 branch in 1 year 2 months
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Jiqian Dong - Researcher, Ph.D Student at Purdue University