陈晨，1985年1月出生，2020年毕业于武汉理工大学计算机科学与技术专业，获工学博士学位。2017年11月至2018年10月于英国曼彻斯特大学访问一年。2020年起任教于det365在线平台，承担《计算思维与程序设计基础》、《算法与数据结构》课程教学。研究方向为人工智能、深度强化学习、仿生意识建模、载运工具自主化等。以第一作者身份发表了5篇SCI论文、1篇EI论文、1篇会议论文，获得授权发明专利1项。主持湖北省教育厅科学技术研究计划青年人才项目1项，参与了国家级科研课题3项。

论文和专利成果

第一作者论文

[1]Chen Chen,Feng Ma,Xiaobin Xu, Yuwang Chen, Jin Wang.A Novel Ship CollisionAvoidance Awareness Approach for Cooperating Ships Using Multi-Agent DeepReinforcement Learning[J]. Journal of Marine Science and Engineering.2021, 9(10):1056. (SCI, JCR Q2, IF=2.458)

[2]Chen Chen, Feng Ma,Jialun Liu, Rudy R. Negenborn, Yuanchang Liu, Xinping Yan.Controllinga Cargo Ship without Human Experience Based on Deep Q-Network[J].Journal of Intelligent & Fuzzy Systems. 2020, 39(5):7363-7379. (SCI, JCR Q1, IF=1.96)

[3]Chen Chen,Xian-Qiao Chen, Feng Ma, Xiao-Jun Zeng, Jin Wang.Aknowledge-free path planning approach for smart ships based on reinforcementlearning[J].Ocean Engineering. 2019(189) 106299. (SCI,JCR Q1, IF=3.068)

[4]Chen Chen,Xian-Qiao Chen, Feng Ma, Yu-Wang Chen, Jin Wang.DeviationWarnings of Ferries Based on Artificial Potential Field and Historical Data[J].Proceedings of the Institution of Mechanical Engineers PartM-Journal of Engineering for the Maritime Environment. (SCI, JCR Q2, IF=1.531)

[5]Chen Chen,Xian-Qiao Chen. Scheduling optimization in restricted channels based on theagent technology and Bayesian Network[C]. IEEE 2017 4th InternationalConference on Transportation Information and Safety (ICTIS), 2017:291-295. (EI检索)

[6]Chen Chen, FengMa, Jia-Lun Liu, Xin-Ping Yan, Xian-Qiao Chen. A Novel Path planning Approachfor unmanned ships based on deep reinforcement learning[C]. 13th InternationalFLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision(FLINS 2018) , 2018:626-633.（会议论文）

发明专利

[1]陈先桥,陈晨,刘威,等.一种基于多波束仰扫的船舶吃水自动检测系统与方法:中国专利, ZL201710209334.3,授权日期: 2019-3-8.（导师一作）

科研项目

[1]湖北省教育厅科学技术研究计划青年人才项目“狭窄未知水域下小型无人艇的仿生导航方法”（项目编号：Q20211502）（主持）。