Dan Shen is an Automated Driving Algorithm Engineer at Aptiv since January 2022, specializing in vehicle state estimation and behavior motion planning. Previously served as a Graduate Research Assistant at Purdue University from July 2014 to 2021, contributing to Intelligent Transportation Systems and projects focused on enhancing safety in automated vehicles, with research on collision-avoidance and path following control under uncertainties. Notable projects include the Back of Queue Warning system, involving simulation-based evaluations. Dan's academic credentials include a Ph.D. and a Master of Science in Electrical and Computer Engineering from Purdue University, as well as a Bachelor's degree in Electrical and Electronics Engineering from Nanjing University of Information Science and Technology. Additional experience includes roles at the Richard G. Lugar Center for Renewable Energy and the New Energy Test Center, along with internships focused on electric vehicles and renewable energy technologies.
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