“Wenhao Ding and Jiacheng Zhu, Ph.D. students in [CMU UTC researcher Ding] Zhao’s lab, proposed a new method, Learning to Collide, to identify risky scenarios leveraging the reinforcement learning technique. This method builds a framework where the autonomous system is a victim attacked by the scenario-generation algorithm. … Ding and Zhu’s proposal, ‘Safety-Critical Scenarios Generation and Generalization for Autonomous Driving’ was awarded the 2022 Qualcomm Innovation Fellowship, which promotes innovation, execution, and teamwork.”  Read more here.