Jiqian Dong

Jiqian (Frank) Dong is currently a PhD candidate at Lyles School of Civil Engineering and a graduate research assistant at Center for Connected and Automated Transportation (CCAT) at Purdue University. He is currently a developer at the perception team for PAIR. His doctoral research investigates information fusion, computer vision and control strategies, for connected autonomous vehicles (CAVs) and intelligent transportation systems (ITS) using advanced machine learning techniques including deep learning (DL) and reinforcement learning (RL).