[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"chains-groupcat":3,"tags-groups":4,"experts-list":5,"experts-coverage":45},[],[],{"list":6,"total":43,"page":43,"pageSize":44,"totalPages":43},[7],{"id":8,"name":9,"orgName":10,"school":11,"gender":12,"title":13,"degree":12,"honor":12,"position":12,"researchDirection":14,"intro":15,"province":16,"completeness":17,"avatarAuthorized":18,"sourceUrl":19,"nameValid":20,"tags":21,"tagNames":32},"d8388776-6d0f-4e61-8c55-0d9c6e72479f","赵海霞","西安交通大学数学与统计学院","西安交通大学",null,"教授","深度学习在地震波探测与信号处理中的应用， PDE和深度学习、多物理耦合介质波动理论 及其高精度高效数值模拟；Research interests: Deep learning for seism ic wave exploration and signal processing, PDE and Deep learning,Wave theory and high-precision high-efficiency numerical simulation for multi-physics coupled media；应用背景 ： 地球探测、高铁、油气勘探、金属矿类探测 等；基于深度学习目标检测、识别和测量；基于 3D 点云的目标检测和测量；Research interests: Deep learning for target detection, recognition, measurement; Target detection and measurement based on 3D point cloud.；应用背景： 智能制造，航空航天，质量检测 等","【产业方向】人工智能","陕西",67,false,"https:\u002F\u002Fgr.xjtu.edu.cn\u002Fhaixia_zhao\u002Fzh_CN\u002Findex.htm",true,[22,23,24,25,26,27,28,29,30,31],"CH-09","CH-28","CH-30","CH-33","GB-07","GB-37","GB-56","GB-74","SEI-01","SEI-02",[33,34,35,36,37,38,39,40,41,42],"航空航天","交通","制造","人工智能","石油和天然气开采业","铁路、船舶、航空航天和其他运输设备制造业","航空运输业","专业技术服务业","新一代信息技术产业","高端装备制造产业",1,30,{"schools":46},297]