何忱远-江苏大学汽车与交通工程学院

姓名

何忱远

性别

女

职务职称

资格教授

博导-所在学科

硕导-所在学科

所在学科

交通运输工程

硕导/博导

联系电话

电子信箱

chenyuan_he@ujs.edu.cn

学习、工作经历

2008.09 - 2012.07, 中国，电子科技大学，学士，通信工程；
2012.09 - 2015.07，中国，电子科技大学，硕士，电子与通信工程；
2016.08 – 2020.12，美国，德州大学阿灵顿分校，博士，电子工程；
2020.05-2020.08，美国，丰田汽车北美研究院，实习；
2020.01-2021.05，美国，德州大学阿灵顿分校，博士后。

社会兼职

担任IEEE Transactions on Systems, Man, and Cybernetics: Systems、 IEEE Transactions on Control of Network Systems、 IEEE Transactions on Intelligent Transportation Systems、American Control Conference、 IEEE Conference on Decision and Control等十余个期刊会议审稿人。

研究方向

车联网通信技术，无人机交通管理，多智能体系统协同控制，随机网络建模与分析

主要论著

5篇代表性论文如下：
1、C. He, Y. Wan, and F. L. Lewis, “On the Identifiability of the Influence Model for Stochastic Spatiotemporal Spread Processes”, IEEE Transactions on Systems, Man, and Cybernetics: Systems,?51(6), pp. 3876-3888, 2020.?
2、C. He, Y. Wan, Y. Gu, and F. L. Lewis, “Integral Reinforcement Learning-based Approximate Minimum Time-Energy Path Planning in An Unknown Environment”, International Journal of Robust and Nonlinear Control, 31(6), pp. 1905-1922, 2021.
3、S. Li, C. He, M. Liu, Y. Wan, Y. Gu, J. Xie, S. Fu, K. Lu, “The Design and Implementation of Aerial Communication Using Directional Antennas: Learning Control in Unknown Communication Environments”, IET Control Theory and Applications, 13(17), pp. 2906-2916, 2019 (co-first author).
4、C. He, Y. Wan, Y. Gu, and F. L. Lewis, “Integral Reinforcement Learning-based Multi-Robot Minimum Time-Energy Path Planning Subject to Collision Avoidance and Unknown Environmental Disturbances”, IEEE Control Systems Letters,5(3), pp. 983-988, 2020.
5、C. He, Y. Wan, and F. L. Lewis, “On the Identifiability of Influence Model”, in Proceedings of 2019 American Control Conference, Philadelphia, July 2019.

科研项目

江苏大学高级人才科研启动基金(自然类）

科研成果及奖励

1、Air Force Research Laboratory (AFRL) Search and AI Challenge, Member of the UTA Team, 1st?place in Showdown Run 4, 2nd?place in Challenge 1, 3rd?place in Showdown Run 1, and 3rd?place?in Challenge 2, AFRL, Dayton, Ohio, America, April 2019.
2、American Control Conference Student Travel Award, American Control Conference, America, 2019.

所获专利

1、H. Lu, C. He, B. Cheng, T. Shimizu, “Methods and Systems for Scheduling MmWave Communications Using Reinforcement Learning”, US Patent App. 17/354,045, 2021.
2、H. Lu, C. He, B. Cheng, T. Shimizu, “Methods and Systems for Scheduling MmWave Communications Among Connected Vehicles”, US Patent App. 17/235,320, 2021.
3、Y. Wan, Y. Gu, C. He, S. Li, M. Liu, S. Fu, “On-Demand Aerial Communication Using Directional Antennas”, US Patent App. 17/168,973, 2021.