周丹阳，硕士学历，毕业于河南大学控制科学与工程专业，助教，所属电子信息系

　　研究方向：态势感知与预测

　　主讲课程：电子仿真与模拟、逻辑设计等

　　发表论文：

　　[1] X. Ma, S. Hu, D. Zhou, Y. Zhou, N. Lu. Adaptive Deployment of UAV-Aided Networks Based on Hybrid Deep Reinforcement Learning[C]//2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall). IEEE, 2020: 1-6.

　　[2] Y. Zhou, X. Ma, S. Hu, D. Zhou, N. Cheng and N. Lu, “QoE-driven Adaptive Deployment Strategy of Multi-UAV Networks Based on Hybrid Deep Reinforcement Learning,” in IEEE Internet of Things Journal, 2021, doi:10.1109/JIOT.2021.3066368.　

　　[3] S. Hu, Z. Yu, D. Zhou, Y. Zhou, N. Cheng and N. Lu, "STOG: A Traffic Prediction Scheme Based on Spatio-Temporal Optimized Graph Neural Networks," 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 2021, pp. 1-5.　

　　[4] Wang H, Zhou D, Zhang Y, et al. SACS-LSTM: A Vehicle Trajectory Prediction Method Based on Self-Attention Mechanism[C]//Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering. 2021: 1061-1067.　

　　[5] D. Zhou, H. Wang, W. Li, Y. Zhou, N. Cheng and N. Lu, "SA-SGAN: A Vehicle Trajectory Prediction Model Based on Generative Adversarial Networks," 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 2021, pp. 1-5.

　　申请专利：

　　[1] 周毅，周丹阳，胡姝婷，李伟，张延宇，杜晓玉.一种基于生成对抗网络的车辆轨迹预测方法:中国.202011157093.0[P].2020.10.27

　　[2] 周毅，王虎肖，周丹阳，李伟，张延宇，杜海顺.一种基于长短时记忆网络的多模态车辆轨迹预测方法:中国. 202110406570.0[P].2021.04.15　　

　　[3] 周毅，胡姝婷，周丹阳，李伟，张延宇，杜晓玉.一种基于强化时空图神经网络的交通预测方法：中国.202011127925.4[P].2020.10.20.

　　科学研究:主持一项校级教改项目、一项课程建设项目。

　　获奖情况：指导学生参加蓝桥杯比赛，被评为优秀指导教师四次。