林远，美国弗吉尼亚理工博士，先后在美国弗吉尼亚理工和加拿大滑铁卢大学开展博士后研究，参与丰田公司北美研发机构资助的自动驾驶项目。感兴趣加入我实验室的博士后，博士，硕士，和本科生请将简历发至我的邮箱。

工作经历 2016-2018，美国弗吉尼亚理工，博士后 2018-2020，加拿大滑铁卢大学，博士后 2021至今，华南理工大学，助理教授

教育经历 2007-2011，南昌大学，学士 2011-2016，美国弗吉尼亚理工，博士

自动驾驶的优化控制与决策，强化学习，以及混动汽车的节能驾驶。

自动驾驶的优化控制与决策; 强化学习; 混动汽车的节能驾驶

[1]Yuan Lin, John McPhee, Nasser L. Azad, 2020: “Anti-jerk on-ramp merging using deep reinforcement learning,” 2020 IEEE Intelligent Vehicles Symposium, 7-14. [2]Yuan Lin, John McPhee, Nasser L. Azad, 2020: “Comparison of deep reinforcement learning and model predictive control for adaptive cruise control,” IEEE Transactions on Intelligent Vehicles, Early Access. [3]Yuan Lin, Azim Eskandarian, 2020: “Integrating inter-vehicular communications, vehicle localization, and a digital map for cooperative adaptive cruise control with target detection loss,” SAE International Journal of Connected and Automated Vehicles, 3(3), 193-204. [4].Chaoxian Wu, Yuan Lin, Azim Eskandarian, 2019: “Cooperative Adaptive Cruise Control with adaptive Kalman filter subject to temporary communication loss,” IEEE Access, 7, 93558-93568. [5].Yuan Lin, Azim Eskandarian, 2017: “Experimental evaluation of cooperative adaptive cruise control with autonomous mobile robots,” 2017 IEEE Conference on Control Technology and Applications, 281-286.