高阳 - 北京航空航天大学

个人简介

高阳，男，助理研究员，硕士生导师。2019年毕业于北京航空航天大学获工学博士学位，现任北京航空航天大学计算机学院专任教师，虚拟现实技术与系统国家重点实验室助理研究员，中国仿真学会医疗仿真专业委员会会委员。主持国家自然科学青年基金“数据驱动的大规模复杂流体交互仿真关键技术研究”1项，作为骨干研究人员参与国家自然科学基金重大项目“可交互人体器官数字模型及虚拟手术研究”、国家自然科学基金重点项目“基于多源数据的可视模型与环境构建及其动态仿真”，此外参与多个自然科学基金、国家重点研发计划等研究项目。申请国家发明专利 12 项（其中 4 项已获批），在IEEE International Symposium on Mixed and Augmented Reality (ISMAR)、 Computer Graphics Forum (CGF )、Graphical Models、Pacific Graphics (PG)、The ACM Symposium on Virtual Reality Software and Technology（VRST）等虚拟现实领域国际期刊或会议中发表文章10余篇，其中第一作者发表 8 篇。曾获中国第二届虚拟现实技术及应用创新大赛高校创新组特等奖（指导老师），北京图形图像学会优秀博士论文提名奖。培养和协助培养在读硕士研究生5人，博士研究生2人，已毕业硕士研究生3人。目前承担本科生《虚拟现实技术实验室公开课》课程1门，指导国家重点实验室本科生开放课题2项，指导学生获冯如杯三等奖2项。

研究领域

主要研究方向为图形学物理仿真、计算机动画、虚拟现实/增强现实、VR医疗与康复技术、人机交互等。主要研究内容包括流体/柔体运动及交互仿真、真实感渲染，虚拟手术技术，VR康复应用，多生理参数（EEG，EMG等）与VR的协同关系研究，以及上述技术在VR/AR领域的应用。长期研究目标是围绕虚拟医疗及虚拟人体关键技术，探索从真实感图形仿真到物理、生理仿真及建模关键技术，实现沉浸感强、物理真实、智能可交互的VR/AR应用。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Neurophysiological and Subjective Analysis of VR Emotion Induction Paradigm. Ming Li; Junjun Pan; Yang Gao*; Yang Shen; Fang Luo; Ju Dai; Aimin Hao; Hong Qin. IEEE Transactions on Visualization and Computer Graphics. Analysis of Emotional Tendency and Syntactic Properties of VR Game Reviews. Yang Gao, Anqi Chen, Susan Chi, Guangtao Zhang, Aimin Hao IEEE Transactions on Visualization and Computer Graphics. Simulating Multi-scale, Granular Materials and Their Transitions with a Hybrid Euler-Lagrange Solver. Yang Gao, Shuai Li, Aimin Hao and Hong Qin*. IEEE Transactions on Visualization and Computer Graphics, to appear. Research on the Usability of Hand Motor Function Training based on VR System. Yang Gao*, Yingnan Zhai, Mingyang Hao, Lizhen Wang and Aimin Hao. IEEE International Symposium on Mixed and Augmented Reality (ISMAR)- Adjunct, accept. Analysis and Validation for Kinematic and Physiological Data of VR Training System. Shuwei Chen, Ben Hu, Yang Gao*, Zhiping Liao, Yang Liu, Jianhua Li and Aimin Hao*. IEEE International Symposium on Mixed and Augmented Reality (ISMAR)- Adjunct, accept. Lower Limb Balance Rehabilitation of Post-stroke Patients Using an Evaluating and Training Combined Augmented Reality System. Shuwei Chen, Ben Hu, Yang Gao*, Zhiping Liao, Jianhua Li and Aimin Hao. IEEE International Symposium on Mixed and Augmented Reality (ISMAR)-Adjunct, pp. 217-218,2020 . Accelerating Liquid Simulation With an Improved Data-Driven Method. Yang Gao*, Quancheng Zhang, Shuai Li, Hong Qin and Aimin Hao. Computer Graphics Forum, 39(6): 180-191, 2020. Dynamic Particle Partitioning SPH Model for High-speed Fluids Simulation. Yang Gao,Zhong Zheng, Jin Li, Shuai Li*, Hong Qin and Aimin Hao. Graphical Models, 109: 101061, 2020. An efficient FLIP and shape matching coupled method for fluid–solid and two-phase fluid simulations. Yang Gao*, Shuai Li, Yinghao Xu, Hong Qin and Aimin Hao. The Visual Computer, 35: 1741–1753, 2019.[PDF] A Hybrid Method for Powdered Materials Modeling. Yang Gao*, Yinghao Xu, Shuai Li, Aimin Hao and Hong Qin. 25th ACM Symposium on Virtual Reality Software and Technology, 14: 1–10, 2019.[PDF] Real-time Simulation of Electrocautery Procedure using Mesh-free Methods in Laparoscopic Cholecystectomy. Junjun Pan, Yuhan Yang, Yang Gao, Hong Qin and Yaqing Qi. The Visual Computer volume 35, pages861–872, 2019.[PDF] Robust and Efficient SPH Simulation for High-speed Fluids with the Dynamic Particle Partitioning Method. Zhong Zheng, Yang Gao, Shuai Li, Yinghao Xu, Hong Qin and Aimin Hao (Co-First author). Pacific Graphics 2018, 10.2312/pg.20181268 (short paper). A novel location awareness method for spot beam emitters. Weicai Yang，Qing Chang，Hui Li，Yang Gao>，Lina Bao. IET Radar, Sonar & Navigation, 12(12): 1493-1499, 2018. An efficient heat-based model for solid-liquid-gas phase transition and dynamic interaction. Yang Gao, Shuai Li, Lipeng Yang, Hong Qin and Aimin Hao. Graphical Models, 94: 14-24, 2017. A Novel Fluid-solid Coupling Framework Integrating FLIP and Shape Matching Methods. Yang Gao, Shuai Li, Aimin Hao and Hong Qin. Proceedings of the Computer Graphics International Conference (CGI), 2017.