你好！我是陈晨。
博士，北京工业大学城市交通学院讲师，硕士生导师。
中国汽车工程学会会员、中国汽车工程汽车工程学会人工智能分会委员。
主持和参与国家自然科学基金、国家重点研发计划子课题、北京市/重庆市省部级科技计划项目10余项，以第一/通讯作者发表IEEE T-ITS、IEEE ITSM、AAP、Transportation Research Part F等期刊及国内外会议论文20余篇。
我的研究聚焦于驾驶行为建模、驾驶风险评估、轨迹预测以及自动驾驶测试评价。我致力于构建一种新颖的理论框架，以揭示人类驾驶过程中感知与决策的基本机制，进而推动自动驾驶技术与以人为中心的交通出行系统的深度融合。
目前，我在驾驶风险建模方面取得了初步进展，提出了一种名为PODAR（Potential Damage Risk，潜在损伤风险）的新框架，相关成果已发表于IEEE T-ITS和IEEE ITSM。
Hello! I am Chen Chen.
Ph.D., lecturer and master’s supervisor at the College of Metropolitan Transportation, Beijing University of Technology.
Member of the China Society of Automotive Engineers, and member of the Artificial Intelligence Branch of the China Society of Automotive Engineers.
I have led and participated in over 10 projects, including those funded by the National Natural Science Foundation of China, key sub-topics of the National Key R&D Program, and provincial/municipal-level scientific and technological programs of Beijing and Chongqing. I am the first or corresponding author of more than 20 research papers published in international journals such as IEEE T-ITS, IEEE ITSM, AAP, and Transportation Research Part F, as well as at domestic and international conferences.
My research encompasses the modeling of driving behaviors, the evaluation of driving risks, trajectory forecasting, and the systematic assessment of autonomous driving systems. I aim to pioneer a novel framework that articulates the perceptual and decision-making mechanisms underpinning human driving, thereby advancing the integration of autonomy with human-centric mobility solutions.
Now, I have made a small step in aspect of the driving risk modeling. A new framework called PODAR (Potential Damage Risk) has been proposed, see my papers published on IEEE T-ITS and IEEE ITSM.