[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"experts-list":3,"chains-groupcat":101,"experts-coverage":475,"tags-groups":477},{"list":4,"total":98,"page":99,"pageSize":100,"totalPages":99},[5,23,32,42,53,81],{"id":6,"name":7,"orgName":8,"school":9,"gender":10,"title":11,"degree":12,"honor":13,"position":13,"researchDirection":14,"intro":15,"province":16,"completeness":17,"avatarAuthorized":18,"sourceUrl":19,"nameValid":20,"tags":21,"tagNames":22},"3b1cb87e-301c-14b9-93c3-dd52bcf76d34","杨澜","长安大学信息工程学院","长安大学","女","教授","博士",null,"主要从事自动驾驶、人工智能、智能交通系统等领域研究，具体研究方向包括1. 端到端自动驾驶模型优化2. 自动驾驶电动汽车节能优化3. 自动驾驶数字孪生测试评价4. 智能网联交通协同控制欢迎计算机、人工智能、交通、电子信息等相关专业优秀学子加入团队，攻读硕\u002F博士学位，开展博士后研究工作，共同为推动自动驾驶与人工智能技术发展贡献力量！有以下一项或者多项基础的学生非常欢迎！   * 熟悉Python、C++或PyTorch   * 对深度学习、强化学习、计算机视觉或大模型感兴趣   * 有算法竞赛、智能汽车竞赛、电子设计竞赛或纵向科研项目经历   * 具有较强的代码实现、工程实践或论文阅读能力","杨澜，工学博士，教授，博士生导师，长安大学信息工程学院计算机专业实验室主任，陕西省道路交通智能检测与装备工程技术研究中心副总工，兼任中国计算机学会（CCF）智能汽车分会执行委员、陕西省女科技工作者协会会员、陕西省公路学会智能交通分会委员、《Communications in Transportation Research》和《汽车安全与节能学报》等国内外学术期刊青年编委等职务。长期从事自动驾驶、人工智能、智能交通系统等领域研究，主要研究方向包括：端到端自动驾驶模型优化、自动驾驶数字孪生测试评价、自动驾驶电动汽车节能优化、智能网联交通协同控制。主持国家自然科学基金面上项目和青年项目、国家重点研发计划项目子课题、陕西省自然科学基金青年基金B类项目、国家外专项目、中国博士后基金面上项目、陕西省重点研发计划项目等 10 余项，作为骨干成员参与了国家863计划项目、国家111计划项目、国家自然科学基金项目、国家科技支撑计划项目以及交通部信息化重大专项等项目的研究工作。相关学术成果在IEEE TITS、TRE、AAP、COMMTR、中国公路学报等TOP学术期刊以及计算机领域顶会CVPR、交通领域顶会TRB和ITSC等发表学术论文60余篇（其中ESI 1%高被引论文2篇），出版教材\u002F专著3部，授权中国\u002F美国发明专利 27 项。荣获陕西省政府和行业学会科技进步一等奖3项，国家教学成果一等奖1项、省部级教学成果特等奖2项、全国高等学校创新创业教育工作突出者、陕西省教科文卫体系统五一巾帼标兵等多项科研、教学奖励。带领研究生、本科生参加各类学科竞赛与行业赛事，先后获得中国机器人及人工智能大赛全国一\u002F二等奖、中国“互联网+”大学生创新创业大赛全国银奖、“创青春”全国大学生创业大赛全国铜奖等国家级、省部级奖励20余项，学生培养质量效果显著。课题组近期研究进展：  * 端到端自动驾驶成果发表于计算机人工智能顶会 CVPR 2026（CCF A类）；  * 自动驾驶测试与决策控制成果发表于IEEE TITS、IEEE TIV、TRE、AAP等国际TOP期刊；  * 建有自动驾驶封闭测试场及虚实融合测试平台，可开展算法仿真与实车验证；  * 指导学生获得中国机器人及人工智能大赛百度Apollo自动驾驶赛全国一等奖、二等奖多项；  * 研究覆盖算法设计、模型训练、仿真测试、实车验证全过程 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     期刊与学会兼职《Communications in Transportation Research》青年编委《Journal of Intelligent and Connected Vehicles》副主编《汽车安全与节能学报》青年编委《重庆交通大学学报(自然科学版)》青年编委中国计算机学会智能汽车分会执行委员陕西省公路学会智能交通分会委员陕西省汽车工程学会汽车低碳环保技术委员会委员陕西省女科技工作者协会会员中国智能网联汽车产业创新联盟智能网联汽车预期功能安全工作组（SOTIF）成员学术会议组织第四届CCF智能汽车学术年会(CIVS 2026)，程序委员会主席汽车智能与网联技术国际学术会议（ICVS 2025），智能网联汽车测评技术分会主席The 2020-21 COTA International Conference of Transportation Professionals（CICTP2020-21），组织委员会主席IEEE the 7th International Conference on Transportation Information and Safety Connected and Resillent Transportatlon Systems （ICTIS 2023），交通环境与可持续发展分论坛主席2023 The 16th International Conference on Computer and Electrical Engineering （ICCEE 2023），技术委员会委员4th IEEE Forum for lnnovative Sustainable Transportation Systems （FISTS2024），Associate Editor","陕西",100,false,"http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Fyl_5414\u002Flist.htm",true,[],[],{"id":24,"name":25,"orgName":8,"school":9,"gender":10,"title":11,"degree":26,"honor":13,"position":13,"researchDirection":27,"intro":28,"province":16,"completeness":17,"avatarAuthorized":18,"sourceUrl":29,"nameValid":20,"tags":30,"tagNames":31},"9e1c2934-a2ad-62dc-1b3f-b48b1dd32da4","王静","博士研究生","主要研究领域包括：(1) 面向人工智能的智能计算、边缘智能计算；(2) 围绕边缘计算、编码计算的分布式并行智能计算；(3) 网络智能;(4) 分布式存储（人工智能、深度学习）；(5) 无线通信系统理论；2026年招生计划计划招生学术硕士2名（具有良好的C\u002FPython语言编程基础和数学基础，硕士阶段将主要以基于AI的算法研究为培养方向，有大学生数学建模竞赛、计算机\u002F程序\u002F软件设计竞赛获奖经历优先），专业硕士2名（具有良好的C\u002FC++语言编程基础，硕士阶段将主要以高性能计算（大数据计算、存储与处理及智能计算）为培养方向，有大学生电子设计竞赛、计算机\u002F程序\u002F软件设计竞赛获奖经历优先）欢迎各位外校与本校优秀的本科毕业生报考，期待着你以你的实力和激情加入我们课题组。谢谢！","2004年毕业于西安电子科技大学通信工程专业，获工学学士学位；2004年9月份起开始硕博连读阶段的学习，2009年3月获西安电子科技大学信息与通信工程专业博士学位。2011年10月被评为长安大学副教授，同年12月份被评为硕士生导师。2015年4月至2016年4月，美国理海大学电子与计算机工程系访问学者。2017年11月被评为长安大学教授。        目前主要从事面向人工智能的智能计算、网络智能、分布式存储（人工智能、深度学习）、无线通信系统理论等方面的研究工作。主持国家自然科学基金青年科学基金项目、国家自然科学基金专项基金(科学部主任基金)项目、陕西省重点研发计划项目、中国博士后科学基金特别资助项目、中国博士后科学基金面上资助项目以及陕西省自然科学基础研究计划项目等各类研究课题10余项。以第一发明人申请国家发明专利30余项，其中28项已经授权，另授权软件著作权7项，两项成果在无线通信领域得到广泛的推广应用，获得了良好的社会经济效益。在国内外权威期刊与国际会议上发表学术论文40余篇，其中SCI收录10余篇，EI收录30余篇，参与编写教材和专著2部。2026年招生计划计划招生学术硕士2名（具有良好的C\u002FPython语言编程基础和数学基础，硕士阶段将主要以基于AI的算法研究为培养方向，有大学生数学建模竞赛、计算机\u002F程序\u002F软件设计竞赛获奖经历优先），专业硕士2名（具有良好的C\u002FC++语言编程基础，硕士阶段将主要以高性能计算（大数据计算、存储与处理及智能计算）为培养方向，有大学生电子设计竞赛、计算机\u002F程序\u002F软件设计竞赛获奖经历优先）欢迎各位外校与本校优秀的本科毕业生报考，期待着你以你的实力和激情加入我们课题组。谢谢！ \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     部分社会服务工作全国研究生教育评估监测专家库专家，2021-04⁓今，教育部学位与研究生教育发展中心学术桥评审专家库成员，2023-07⁓今，中国教育发展战略学会人才发展专业委员会\u002F学术桥陕西省科技专家，2022-08⁓今，陕西省科学技术厅国研评审中心评阅专家，2025-04⁓今，国研评审中心","http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Fwj_5264\u002Flist.htm",[],[],{"id":33,"name":34,"orgName":8,"school":9,"gender":10,"title":35,"degree":12,"honor":13,"position":13,"researchDirection":36,"intro":37,"province":16,"completeness":38,"avatarAuthorized":18,"sourceUrl":39,"nameValid":20,"tags":40,"tagNames":41},"d3adaa29-d89c-57f7-87a3-0b7fec18933b","宋蓓蓓","副教授","研究领域为围绕小样本、小目标、小网络的模式识别与智能系统（人工智能、深度学习）：1）遥感影像智能分析：场景分类、目标检测、场景分割2）视频图像智能处理：目标检测与跟踪3）零样本\u002F小样本学习4）图像压缩：新型图像变换、信源编码，AI图像压缩5）图像复原：去噪、增强、超分辨、光谱重建6）人工智能，深度学习图像处理算法的边缘端部署应用硬件条件：1）配置Nviida GTX1070-8GB、GTX1080TI-11GB(3584 Cuda核)、RTX2080TI-11GB(4352 Cuda核)、RTX3090-24GB(10496 Cuda核)、RTX4090-24GB(16384 Cuda核)、RTX5090D-32GB(21760 Cuda核) GPU电脑\u002F小型工作站多台，满足不同规模深度学习训练需求2）用于深度学习部署的全系列 Nvidia 嵌入式GPU：Jetson Nano(128核)、Jetson Tx2(256核)、Jetson Xavier Nx(384核)、Jetson Xavier(512核)、Jetson Xavier Orin（2048核）3）用于通信信号处理的SDR(软件无线电平台)：ADALM-PLUTO、USRP N210、USRP B2104）FPGA开发板：ZedBoard(Xilinx Zynq UltraScale XC7Z020-CLG484-1)、Ultra96（Xilinx Zynq UltraScale+ MPSoC ZU3EG A484）、ZCU106（Zynq UltraScale+ MPSOC XCZU7EV-2FFVC1156）可部署深度学习研究生招生情况：2016级：王珍2017级：孔方方2018级：赵军2019级：何帆、马穗娜2020级：董杨洋、邱地发2021级：于淑芳、刘锦辉、毕梦昭2022级：原洁冉、刘有继2023级：杜文旺、王哲、高攀、毛楠2024级：陈云飞、杜浴阳2025级：保秋蝶、王晓晗2026级：韩蕊、黄宇晨2027年招生计划计划招生学术硕士1~2名（具有良好的C\u002FPython语言编程基础和数学基础，硕士阶段将主要以基于AI的算法研究为培养方向，意愿做软硬件结合的系统研究更佳，有大学生数学建模竞赛、计算机\u002F程序\u002F软件设计竞赛获奖经历优先），专业硕士1~2名（具有良好的C\u002FC++语言编程基础，了解嵌入式硬件系统，硕士阶段将主要以嵌入式软件设计\u002FC、C++、Python, FPGA设计\u002FVHDL、Verilog, 高性能计算（超高速、高带宽网络数据传输、存储与处理）为培养方向，有大学生电子设计竞赛、计算机\u002F程序\u002F软件设计竞赛获奖经历优先）","2008年毕业于西安电子科技大学获得博士学位，2013年被评为长安大学副教授，2016年被聘为硕士研究生导师。研究方向主要为交通视频图像处理、卫星遥感影像方面的理解与分析，以及深度学习处理与人工智能应用。具体包括图像压缩、图像重建、图像分类、图像分割、目标检测与识别、运动目标跟踪、通信信号识别、嵌入式GPU实时智能处理系统。近年主持陕西省自然科学基金项目一项、中央高校基本科研基金项目2项、横向项目一项，参与国家自然科学基金项目2项，发表论文十余篇，参与编写专著1部。 \n                                \n                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