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交通数字孪生、具身系统测试场景生成与在环自主测评。课题组条件1.充足的纵向项目经费支撑（重点研发\u002F重点基金等纵向项目）2.算力平台和实操环境支撑（近百张高性能显卡及多类具身实验平台）3.培养路径制定（研究方向、论文以及代码指导、传帮带、会议资助）4.就业单位推荐（高等院校、科研院所、IT大厂）对学生的要求1.求知若渴，视学习为改变命运的核心动力；2.心态阳光，坚信办法总比困难多；3.基础扎实，具备独立分析与解决问题的底层能力；4.执行力强，愿意相信“先完成，再完美”的行动哲学。项目案例展示（1）无监督表征增强视觉识别面向复杂动态降质环境中视觉识别鲁棒性挑战，提出了一种无监督表征增强方法。基于深度通道先验，构建一个“即插即用”的无监督特征增强模块，从稀疏特征分布中提取紧凑且有效的特征表示，解决了图像中的空间稀疏性和通道差异性问题。在浅层表征空间中引入双学习架构，并通过两阶段的多对抗学习机制进行无监督特征校正，显著提升了现有基线模型在降质图像上的识别性能。（2）基于事件相机的高效交通目标检测针对事件流数据的高度空间稀疏和低信噪比特性，提出了基于稀疏Mamba的事件目标检测框架SMamba。基于活动事件和噪声事件的时空分布差异，设计了时空连续性评估模块以评估不同区域的信息含量，并在计算过程中自适应丢弃无事件和噪声区域；构建了信息量引导的空间扫描机制和基于全局空间的通道扫描机制，增强了模型的全局建模能力，在精度和效率之间达到了更好的平衡。（3）自动驾驶动态交通环境全要素感知面向开放域交通环境下稳健感知的挑战，提出了多任务层级联合的智能汽车复杂动态环境视觉解析框架，解决了远距离目标的精准检测、低感知精度下高相似物体的鲁棒识别和非一致场景下的多目标实时跟踪等问题，实现了可见光下交通场景全要素及可通行区域的精准感知；采用多传感器配置，攻克了多模态、多尺度数据帧间时空特征配准难的问题，构建了一种多模态融合的三维目标鲁棒检测方法，提高了复杂动态环境下全天候关键目标解析的鲁棒性。该技术应用于长安大学自主研发的信达号和知行合一无人车，斩获世界智能驾驶挑战赛实车赛与虚拟仿真赛道技术创新奖、争先奖及国家奖项5项；全国大学生工程训练综合能力竞赛智能汽车仿真赛项全国二等奖、省级特等奖4项。（4）复杂动态交通场景车辆微观轨迹预测面向真实交通场景中动静态目标遮挡、感知算法失效及感知范围限制带来的非完整轨迹预测挑战，构建了多尺度注意力头，从不同时间颗粒度并行提取轨迹的多尺度运动表征，缓解了缺失值对轨迹预测带来的负面影响；提出了连续性表征引导的多尺度融合模块，跨时间步计算轨迹的连续性表征，并将其用于运动表征的多尺度融合，极大地太提高了模型对非完整轨迹的预测精度，使模型能够更鲁棒的应用于真实交通场景。（a）模型框架图（b）预测结果可视化（5）城市交叉路口全息感知与数字孪生面向城市交叉路口交通场景全息感知与动态建模的挑战，提出了真实道路布局语义及参数提取与路段级-车道级运动轨迹流预测方法，基于三维仿真工具建立了道路场景的三维虚拟实体道路，实现了城市交叉口实时提取的轨迹流数据和相应的预测轨迹数据还原到实际交通运行环境的虚拟实体中，准确地描述中微观层面动态交通场景流数字孪生与模拟推演，使用轨迹预测结果填补了数字孪生物理实体到虚拟环境映射时延。具身实验平台展示①长安大学车联网与智能汽车试验场以及对应的数字孪生平台②智能网联测试车③可移动智能路侧杆④长安大学车联网与智能汽车试验场微缩仿真平台以及对应的数字孪生平台⑤系列微型无人系统⑥虚拟仿真平台往届毕业生去向百度，钉钉，法士特，长鑫科技，极氪汽车，西安建筑科技大学，军工研究所（保密单位），山东高速，北京万集，陕汽，腾讯（实习），字节跳动（实习）","刘占文，女，工学博士，三级教授，博士生导师，国家级青年人才，交通运输行业青年拔尖人才，现任长安大学机器人与具身智能学院副院长、深圳研究院副院长、陕西省车联网与智能汽车测试技术工程研究中心副主任、长安大学交通信息检测与控制工程实验室主任。研究方向聚焦于智能网联交通、车路具身系统及自主测试。以第一\u002F通讯作者在AAAI、ECCV、TMM、CommTR等国际权威刊物及顶级会议发表SCI论文30余篇，授权国际\u002F国家发明专利51项，参与制定多项国家及团体标准。主持国家重点研发计划项目课题、国家自然科学基金重点、面上及青年项目、陕西省“两链”融合重点专项等国家级、省部级科研项目20余项。获第十四届陕西省青年科技奖、陕西省科学技术进步奖一等奖3项、陕西省高等教育教学成果奖特等奖1项、中国公路学会科学技术奖一等奖、二等奖各1项。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     1、期刊任职（1）《交通运输工程学报》青年编委；（2）《Journal of Intelligent and Connected Vehicles》Associate Editor；2、会议任职（1）IEEE智能交通系统国际会议青年学术委员会联合主席；（2）IEEE交通信息与安全国际会议执行副主席及论坛主席；（3）WTC第三届学部委员会交通工程学部交通感知与大数据学科交通系统智能感知技术委员会主席；（4）WTC第三届学部委员会公路工程学部智慧公路学科自动驾驶车协作技术委员会副主席；（5）IEEE机械与电子工程国际会议程序委员会联席主席；3、学会任职（1）中国图象图形学会视觉传感专业委员会委员；（2）中国汽车工程学会人工智能分会委员；（3）中国仿真学会数字试验与测试分委会理事；（4）中国公路学会自动驾驶工作委员会委员","陕西",false,"http:\u002F\u002Fjs.chd.edu.cn\u002Fdzykzgcxy\u002Flzw\u002Flist.htm",true,[],[],{"id":402,"name":403,"orgName":404,"school":389,"gender":405,"title":406,"degree":392,"honor":10,"position":10,"researchDirection":407,"intro":408,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":409,"nameValid":398,"tags":410,"tagNames":411},"839c6d26-299b-fecc-cc54-32cc54436c6c","王振","长安大学信息工程学院","男","副教授","本人长期从事智能网联汽车定位、决策、规划与控制领域的研究，主持或参与多项国家级、省部级项目，公开发表高水平论文11篇，获得授权发明专利30余项，其中美国发明专利2项，软件著作权8项。研究内容一：自动驾驶汽车高精度定位与控制研究面向典型城市环境的自动驾驶汽车高精度定位技术，融合GNSS、IMU、Odom、Lidar等多源传感器。研究典型道路环境下自动驾驶汽车高精度运动控制技术。研究内容二：智能网联汽车轨迹规划本人近年来在智能网联汽车换道策略方面进行了较为深入的研究，提出了多种换道模型并在实车上进行了较为充分的验证。研究1探究了自动驾驶汽车在多辆人驾车辆的混合环境中进行换道的方法；所提出的换道模型考虑到了目标车道上人驾车辆可能出现配合\u002F不配合换道的情况；采用智能驾驶员模型对人驾车辆的行车意图进行预判，然后以动态正弦曲线为载体进行换道轨迹规划；结合车辆动力学模型和模型预测控制方法进行轨迹跟踪控制；所提出的换道模型在试验场环境下进行了充分的实车实验验证。实验结果表明，所提出的换道模型可以很好地应对人驾车辆出现的配合\u002F不配合换道情况；对比人工换道数据，在提高换道效率的同时提升了安全性和舒适性。  (a)换道研究示意图及实车试验航拍      (b) 模型与人驾车辆性能对比图1 面向混合交通流的自动驾驶汽车换道模型研究2针对多智能网联汽车协同换道策略进行研究，考虑到混合交通流中智能网联汽车存在不同的渗透率，针对多智能网联汽车渗透率较高的情况下车辆间协作换道方法展开研究：以车辆纵向动力学模型为基础，以安全性和舒适性为约束，以最小化对目标车道后方车辆的影响为目标构建出一种新的换道模型。所提出的模型在97461种场景中进行了测试，相比传统换道模型，所提出的协同式换道模型可以提高36.7%的换道成功率，并且大幅度减小了由车辆换道所引发的目标车道后方车辆队列的速度波动。(a) 所提出的协同换道模型示意图（上：无协同换道；下：协同换道）    (b) 与无协同换道模型的量化对照（左：换道成功率；右：速度平顺性）图2 多自动驾驶汽车协同换道模型针对于驾驶员注意力机制及行为特性方面，研究3通过开展实车实验对驾驶员跟随自动驾驶汽车过程中的行为特征进行分析，进而揭示了不同驾驶员对于自动驾驶车辆的不同态度及反应机制。该项研究的实验数据进行了公开，已为多项研究提供了数据基础。图3 分析驾驶员跟随自动驾驶汽车过程中的行为特征研究内容三：智能网联汽车整车在环测试    以多自由度整车在环测试台架为基础，研究数字孪生测试场景构建方法、典型自动驾驶传感器模型、行为评价方法等。    欢迎有志于从事自动驾驶汽车、智能网联汽车相关理论和技术研究的同学报考本人研究生","王振，副教授，博士生导师，硕士生导师。先后入选中国科协青年托举人才、山东省泰山创新领军人才、陕西省三秦特支青年拔尖人才、陕西省青年科技新星。长期从事智能网联汽车高精度定位、轨迹规划与控制、整车在环测试等方面的理论研究和产业化应用。先后主持和参与多项国家重点研发计划项目、自然基金项目、陕西省重点研发项目，发表高水平SCI论文20余篇，获得授权发明专利30余项，其中美国发明专利3项，承担本科生教学课程10门次。课题组简介：课题组招收人工智能、自动驾驶、车路协同、计算机视觉、智能汽车方向的博士生和硕士生，课题组为研究生提供如下条件：1. 一流的科研环境：优良的科研场地、配备计算机等基础科研条件；2. 一流的设备设施：自动驾驶实车2辆、小比例自动驾驶车辆平台3辆、高性能计算机算力平台、自动驾驶整车在环测试大型装备（全国高校唯一）、多种自动驾驶传感器。3. 每月发放科研劳务补助；4. 全额资助论文发表，全额资助参加国内外学术会议；5. 1对1的技术开发\u002F论文写作指导；6. 友好的科研和学习氛围，互帮互助，不定期团建；7. 头部企业实习和内推机会；课题组研究生就业情况：2026届：刘**，博世汽车部件（苏州）有限公司，雷达感知 AI 算法工程师，年薪35W+；陈**，广州文远知行科技有限公司，系统测试工程师（国际），年薪40W+；代*，深圳锐明科技，嵌入式软件开发工程师，年薪30W+；课题组新闻：2026.08：盛*博士的学术论文被计算机领域TOP期刊Applied Soft Computing录用；2026.08：获批陕西省科技厅重点研发计划项目；2026.07：盛*博士的学术论文被中科院一区TOP期刊Expert Systems with Applications录用；2026.06：代*硕士获批中国发明专利1项；2026.06：陈**硕士获批中国发明专利1项；2026.05：陈**硕士的学术论文被中科院一区TOP期刊Transportation Research Part E录用；2026.05：盛*博士获批中国发明专利1项；2026.05：入选陕西省三秦特支青年拔尖人才；2026.04：李**博士获批中国发明专利1项；2026.02：彭*博士的学术论文被顶级国际会议ICRA录用；2025.12：课题组研究生的论文被国际会议EILM录用；2025.10：课题组研究生授权自动驾驶测试领域发明专利1项；2025.09：课题组3位研究生的论文被国际会议ICEMCE录用；2025.08：课题组研究成果荣获全球道路联合会（IRF Global）全球道路成就奖（GRAA）；2025.08：5位研究生申请的软件著作权获批授权；2025.07：课题组研究生的论文被国际会议ACM International Conference on Multimedia录用（CCF-A）；2025.06：课题组研究生在IEEE Sensors Letters期刊发表论文《Efficient Critical Data Generation Framework      for Vision Sensors of Autonomous Vehicle Perception System》；2025.05：课题组研究生在IEEE Transactions on Intelligent Transportation Systems期刊发表论文（TOP期刊）；2025.05：课题组出版专著《自动驾驶整车在环测试评价理论与方法》；2025.05：课题组研究生参加“挑战杯”学术作品竞赛，获陕西省二等奖；2025.03：课题组获批美国发明专利1项；2025.02：入选中国科协青年托举人才（长安大学年度唯一一项）；2024.11：课题组研究生在IEEE Transactions on Intelligent Transportation Systems期刊发表论文（TOP期刊）；2024.06：课题组研究生在Advanced Intelligent Systems期刊发表论文； \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     1. 编委任职《AI and Autonomous Systems》期刊编委；《汽车工程学报》期刊青年编委；《International Journal of Environmental Research and Public Health》期刊Guest Editor；2. 期刊审稿人《Nature Communications》《IEEE Transactions on Intelligent Transportation Systems》《Transportation Research Part C Emerging Technologies》《Expert Systems with Applications》《Communications in Transportation Research》《Transportation Research Part E: Logistics and Transportation  Review》《Automatica》《IEEE Internet of Things Journal》《IEEE Transactions on Vehicular Technology》3. 会议审稿人《AAAI - 26》《TRB - 2025》《IEEE Virtual Reality》《International Joint Conference on Artificial Intelligence》《IEEE International Conference on Robotics and Automation》","http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Fwz7\u002Flist.htm",[],[],{"id":413,"name":414,"orgName":415,"school":389,"gender":405,"title":406,"degree":392,"honor":10,"position":10,"researchDirection":416,"intro":417,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":418,"nameValid":398,"tags":419,"tagNames":420},"2ff0ebfb-839b-60f8-690e-11293630005e","张海伦","长安大学汽车学院","关注智能网联汽车中驾驶人认知决策、人机交互以及控制领域，如下：（1）在人机交互方面：提出了一种基于分层聚类算法、墨西哥帽小波变换法、非参数检验法以及层次狄利克雷过程与隐马尔可夫模型相结合的多层次驾驶行为分析方法。通过该方法，能够系统地捕捉网联环境下驾驶人和HMI的交互频率、注意力分布及响应特性，为驾驶行为的定量分析和模式提取提供新的思路。采用创新的文本聚类算法对驾驶模式进行定量分析，提供了全新的网联环境下驾驶行为的科学理解和应用模型。学术影响方面，为智能交通系统中的驾驶行为建模提供了理论支持，还为交通安全管理及车联网技术的发展提供了实践依据，具有较高的学术价值与应用潜力(论文1：Zhang Hailun, Fu Rui, Wang Jiangqiang, Simeon C. Calvert, Hans van Lint. Driving Patterns in Connected Environments: A Case Study of Intersection-Approaching Behavior of Professional and Non-Professional Drivers [J]. Transportation Research Part F: Traffic Psychology and Behavior. 103 (2024) 230–259. 论文2：网联环境下驾驶人响应机制—一种交叉路口接近行为定性效应分析与定量驾驶模式提取案例[J\u002FOL]. 机械工程学报, 2024, 60 (10): 22-39.) （2）在车辆稳定性控制方面：提出了一种新型的IPC（干预预测与控制）框架，解决了公交车因转向滞后而导致的横向稳定性问题。该框架结合了干预标准、车辆状态预测和在线控制，通过多因素耦合的BP神经网络实时评估稳定性边界，采用EKF观测器和OARIMA模型预测车速与侧滑角的短期趋势，并通过AFS策略与Smith-SMC设计稳定性控制系统。仿真结果表明，该框架在极端转向条件下表现出色，显著降低了转向滞后的影响，为公交车的主动安全控制提供了新思路（论文：Fu Rui, Yang Bing, Zhang Hailun. Lateral Stability Control of Buses: A framework Considering the Steering Hysteresis Response Using Interleaved Predictive-Control [J]. IEEE Transactions on Vehicular Technology. 2024, 23(1), 216-231.）（3）在驾驶人意图识别方面：拓展在线迁移学习的应用场景，通过将在线迁移学习引入换道意图识别领域，研究展示了如何在交通行为建模中应用动态适应性技术。为交通流量管理与智能驾驶系统中的行为预测提供了新的方法，推动了在线迁移学习在复杂交通环境中的应用研究。此外，为提高意图识别模型的可扩展性与训练效率，通过引入字典学习（稀疏表示）与图Lasso方法，研究解决了传统深度学习在建模速度上的不足，提升了模型在处理不同驾驶行为时的扩展能力。这一创新对提升智能驾驶系统的实时响应能力具有重要意义(论文：Zhang Hailun, Fu Rui, et al. Turning Maneuver Prediction of Connected Vehicles at Signalized Intersections: A Dictionary Learning-Based Approach[J]. IEEE Internet of Things Journal, 2022, 9(22): 23142-23159.)（4）在驾驶行为感知方面：增强车辆行为感知模型的实用性与鲁棒性，将集成学习与半监督学习相结合，并设计了针对数据流中的异常值和概念漂移的自适应策略，使得模型在面对现实世界中的动态数据时表现出更强的鲁棒性与适应性。这为智能交通系统中车辆行为识别与预测的研究提供了更具实用价值的技术方案。此外，提出的基于微簇特征的在线自适应方法，进一步拓展了模型在应对概念演化和新类检测方面的能力，增强了模型在不断变化的交通环境中的适应性与准确性。这为自适应半监督学习在智能交通中的应用研究提供了新方向（论文：Zhang Hailun, Fu Rui, Wang Chang, et al. Driving Maneuver Detection at Intersections for Connected Autonomous Vehicles: A Micro-Cluster-Based Online Adaptable Approach [J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(2): 1178-1199, Feb. 2024.）","张海伦，1992年8月生，博士，副教授，长安大学青年英才A，博士生导师。于长安大学获得博士学位，期间赴荷兰代尔夫特理工大学进行为期一年的访问研究，后进入清华大学车辆与运载学院完成博士后研究工作。长期致力于智能网联汽车、驾驶人认知与决策、人机交互与智能控制等前沿交叉领域的研究 。具备出色的科研创新能力与扎实的学术功底，在博士与博士后期间取得了一系列标志性创新成果（对我个人来说挺标志创新的(●'◡'●)）。以第一作者身份在交通运输工程和车辆工程领域发表高水平期刊论文20余篇，其中多篇发表于IEEE Transactions on Intelligent Transportation Systems、IEEE Internet of Things Journal、Transportation Research Part F 等国际顶级期刊。此外，还申请了10余项国家发明专利（7项授权）。主持了国家自然科学基金、国家重点研发计划子任务、陕西省自然科学基金、国家资助博士后研究人员计划（博新计划上会没中，给了个B档，难受）、中国博士后科学基金面上项目、北京市自然科学基金青年项目（这个很难，我也是侥幸获批）等多项国家级及省部级课题。同时，作为项目骨干组织申报1项并深度参与了3项国家重点研发计划项目。研究工作系统地解决了智能座舱人机交互、驾驶意图识别和行为建模等领域的关键问题。例如，提出了创新的多层次驾驶行为分析方法，为理解网联环境下的人机交互特性提供了新模型；将在线迁移学习与字典学习等方法引入驾驶意图识别，有效提升了模型的扩展性与实时性；设计的集成学习与半监督学习融合框架，显著增强了车辆行为感知模型的鲁棒性与自适应能力。这些研究成果兼具理论深度与应用价值，为智能驾驶系统的发展提供了关键技术支撑。每年有3-4个硕士招生名额和1个博士招生名额（硕士生名额确定，但是博士生名额与到账经费挂钩），欢迎对本方向有兴趣的本科生、硕士生和博士生同学联系我！无性别和第一学历歧视！邮箱：zhanghailun@chd.edu.cn          iszhanghailun@outlook.com我能提供的：1. 科研方面：提供前沿科研idea，至少每周1次的手把手指导算法建模、论文撰写、专利申报、科研项目申请书撰写（指导过的研究生同学均可以发领域内顶刊）；2. 交流方面：国际（荷兰）和国内（清华大学、吉林大学、北京理工大学、华南理工大学、重庆大学等）一流学府交流机会，还能带你去开会吃茶歇；3. 硬件方面：团队具有基座式驾驶模拟器2台、多自由度驾驶模拟器1台、自动驾驶汽车3辆，依托于长安大学车联网与智能汽车试验场，可有效进行驾驶人认知和自动驾驶控制决策课题研究；4. 运动方面：本人热爱健身、跑步（配速515）、骑行（9小时200公里）、越野（每年一次，50公里6.5小时）、登山徒步（之前每周一山，现在太忙，求带）等运动项目，具有多年运动基础和常年运动习惯，可帮助同学成为合格的“体育生”。对你的期待：1. 坐的住、能吃苦、有奋斗精神；2. 对学术科研有追求，致力于基础研究和工程应用落地；3. 熟练Matlab、Python等软件，学习过《机器学习》、《深度学习》、《强化学习》等课程；4. 对自动驾驶、智能交通、认知心理科学感兴趣并有过论文发表经历（不强制）。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     给IEEE Transactions on Intelligent Transportation Systems、Accident Analysis and Prevention、《机械工程学报》、《汽车工程》、IEEE Internet of Things、Transportation Research Part C\u002FF等期刊投过稿，所以被列为了审稿人（没啥社会职务，空着也不好，但是我看其他老师都写了，那我也这么写）","http:\u002F\u002Fjs.chd.edu.cn\u002Fqcxy\u002Fzhl1\u002Flist.htm",[],[],{"id":422,"name":423,"orgName":404,"school":389,"gender":405,"title":406,"degree":392,"honor":10,"position":10,"researchDirection":424,"intro":425,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":426,"nameValid":398,"tags":427,"tagNames":428},"cd15d0c7-8186-ad2c-bfe1-9fae6d1d11e1","马峻岩","1、自动驾驶系统仿真、测试与验证\n2、FPGA加速的物联网固件模糊测试方法\n3、智能网联环境下新型混合交通流管控\n2027年拟招收博士研究生1名（留学生），研究生2-3名，要求通过CET-6考试，拥有对技术与学习的热情。课题组科研环境良好，氛围融洽，注重学生理论与实践能力的培养，诚挚欢迎你的加入！学硕招生代码：计算机科学与技术（081200）、软件工程(083500)专硕招生代码：电子信息（085400），计算机、软工方向特别联系方式：WVd4bGVHMWhhbmxBY1hFdVkyOXQ=，b4$e64 10 encoding（请附个人简历）调剂考生注意：本校调剂要求具有一定门槛（本科、报考均为“双一流”；只接受学硕调剂；外语+数学成绩不低于180分）请通过长安大学研招办确认自己符合调剂要求后，再与本人联系调剂事宜。毕业生研究方向及就业去向MUHAMMAD UMER ABBASI，基于LLM的事故场景重构，长安大学博士研究生王品，基于LLM的自动驾驶测试，汇丰科技中国陈文君，深度学习与知识图谱，吉利汽车张伟杰，智能网联环境协同管控建模，金风科技股份有限公司冯中文，嵌入式系统模糊测试，事业单位公务员李博轩，自动驾驶测试，深圳魔耳乐器刘晨颖，智能网联交通流协同控制，陕汽集团胡飞飞，微控制器固件模糊测试，陕汽集团赵紫轩，自动驾驶多模式混合交通流，应用材料（Applied Materials China）窦依依，智能网联交通流协同控制，河南中天高新智能科技股份有限公司史静，知识图谱与智能车测试，中国建设银行王卓，自动驾驶测试，比亚迪周婉金，嵌入式软件运行时验证，上海合见工业软件集团有限公司田叶凡，智能车路系统测试，中国农业发展银行研发中心朱家宝，智能车路系统测试，同花顺研发中心堵白雪，边缘计算与交通安全，中国农业发展银行研发中心MOUSSA SALI，智能车路系统测试，长安大学博士研究生许良，NLP与智能车测试，西安中兴通讯李尚荣，物联网软件测试，西安兆芯集成电路有限公司张佳雨，机器学习与智能车测试，杭州有赞科技有限公司刘仟金，机器学习与交通安全，浦发银行研发中心李剑龙，三维场景语义分割，紫光展锐李易，物联网软件测试，西安兆芯集成电路有限公司张颖，机器学习与智能车测试，中国移动通信集团陕西有限公司张 特，物联网软件故障检测，百度王 瑾，物联网软件故障检测，浙江宇视科技有限公司","马峻岩，男，博士，副教授，硕士生导师，国际生博士生导师，计算机科学与技术系副主任。主要从事嵌入式系统与软件、智能车路系统方面的研究。主持\u002F参与国家自然科学基金、国家重点研发计划、交通部信息化重大专项、国家科技支撑计划等课题的研究工作。相关成果在《计算机学报》、《中国公路学报》、《Automated Software Engineering》、LCTES、IPSN、SenSys、ICSE、ISSRE等重要学术期刊或国际学术会议上发表。受邀担任《IEEE Transaction on Computers》、《IEEE Transaction on Intelligent Transportation Systems》、《Neurocomputing》、《计算机学报》、《中国公路学报》、IEEE GLOBECOM、KIPS CUTE、IEEE ITSC、IEEE ISC2、IEEE RCAR等期刊及国际会议等的审稿专家。获得陕西省科学技术奖一等奖1项，发表学术论文40余篇，取得发明专利19项、实用新型专利10项。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     中国计算机学会（CCF）嵌入式系统专业委员会执行委员\n中国计算机学会（CCF）软件工程专业委员会委员\n陕西省宇航学会科普专委会委员\n中国计算机学会（CCF）会员\nAssociation for Computing Machinery（ACM）学会会员","http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Fmjy\u002Flist.htm",[],[],{"id":430,"name":431,"orgName":388,"school":389,"gender":405,"title":406,"degree":392,"honor":10,"position":10,"researchDirection":432,"intro":433,"province":395,"completeness":295,"avatarAuthorized":396,"sourceUrl":434,"nameValid":398,"tags":435,"tagNames":436},"5aeb9950-17e7-6c10-0f0a-4ae2f575afa6","徐小波","研究方向为深度学习：1、图像类：(1)、对抗生成网络、扩散模型，应用场景为单样本\u002F少样本情况下图像生成与识别。(2)、语义分割\u002F模式识别，应用场景为小样本情况下缺陷识别。2、时间序列类：Transformer网络，应用场景为基于大样本、基于注意力机制的表格数据预测。3、图类：图神经网络研究项目主要为交通、光伏、医学影像、微电子等行业与人工智能的结合","徐小波，男，42，博士，副教授，2009年3月毕业于西安电子科技大学微电子学院，获硕士学位，硕士论文题目《MEMS传感器弱信号检测电路及集成设计》，2012年3月获西安电子科技大学微电子学与固体电子学博士学位，博士论文题目《SOI SiGe HBT性能与结构设计研究》，现在长安大学电子与控制工程学院机器人工程系从事科研和教学。近几年主持国家自然科学基金、博士后科学基金、陕西省自然科学青年基金、陕西省自然科学青年基金等，参与项目多项。在IEEE Transactions on Electrons Devices、Solid State Electronics、Superlattices and Microstructures、Chinese Physics B、Chinese Physics Letters等期刊公开发表第一作者学术论文20余篇，其中14篇SCI收录，6篇EI收录。当前主要研究领域或方向为机器学习：(1) 自然语言处理(NLP)方向，主要为表格预测(tabular prediction)； (2) 生成深度网络：主要为对抗生成网络(GAN)和扩散模型(diffusion model)，生成AI图像或者数据。(3) 目标检测。主要为a. 卷积神经网络如：U网络(U-Net)和可变形卷积网络（deformable ConvNet）             b. vision transformer以及后续模型(4) 图神经网络：主要为注意力机制+图卷积的各种组合应用场景主要为交通、光伏、医学影像、微电子等行业与人工智能的结合。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     1、IEEE wireless communications 、solid state electronics、IET electronics letters等期刊审稿人；2、教育部全国硕士博士论文审稿人；3、mdpi SCI期刊客座编辑；","http:\u002F\u002Fjs.chd.edu.cn\u002Fdzykzgcxy\u002Fxxb\u002Flist.htm",[],[],{"id":438,"name":439,"orgName":440,"school":389,"gender":390,"title":406,"degree":392,"honor":10,"position":10,"researchDirection":441,"intro":442,"province":395,"completeness":295,"avatarAuthorized":396,"sourceUrl":443,"nameValid":398,"tags":444,"tagNames":445},"f218f327-ff06-d564-5b40-eeaa16ac2913","胡玉姣","长安大学数据科学与人工智能研究院","研究领域：具身智能、无人机\u002F无人车智能协同、数字孪生、边缘计算、组合优化具体围绕无人系统的AI赋能研究领域的热点和重难点问题，聚焦无人集群智能协同面临效率低和算力弱的突出挑战，深耕任务驱动的无人集群智能协同技术与保障无人集群智能协同的算网资源融合调度技术创新发展，以组合优化为核心方法支撑，在多智能体任务分配、动态路径规划、边云资源协同调度等关键场景中构建可扩展的优化建模框架，探索图神经网络、强化学习等智能优化方法与传统组合优化策略的深度融合，提升算法在大规模、动态、不确定性环境中的求解效率与适应能力，为无人系统自主决策与协同提供优化基础。衷心欢迎对上述方向感兴趣、愿意在科研道路上不断成长和挑战自己的本科生、硕士生、博士生加入团队！不论起点如何，只要你有热情、有责任心，我们都愿意耐心指导、一路同行。团队具备良好的实验平台、丰富的科研资源和国内外交流合作机会，更重要的是，我们会和大家一起努力，确保你在这里能有所收获——论文会有的，项目会有的，进步和成就都会有的。欢迎随时联系我（邮箱：huyujiao@chd.edu.cn），期待你的加入。请注意：本研究组暂时不招收国际留学生、交换生，如政策发生改变，会及时调整主页！","胡玉姣，女，数智院副教授，硕博导，长安大学青年英才引进计划入选者，主持或作为核心骨干参与多项国家级和省部级科研项目，在无人系统智能协同及算网融合智能调度技术方面取得一系列重要成果，已成功应用于国家重点领域的行业企业生产。发表本领域高水平学术论文20余篇，受理授权发明专利10余项，牵头制订行业标准3项，在IEEE、CCF和中国科协等国内外知名学术组织中担任重要学术职务，并荣获多个奖项，入选江苏省“双创博士”人才计划、江苏省人才攻关联合体。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     CCF YOCSEF西安分论坛委员CCF YOSCEF南京分论坛AC委员IEEE ComSoc MMTC Communications – Review Committee Editor BoardIECE Transactions on Computer science Editor中国科协“科创中国”未来网络专业科技服务团算力网络工作组组长第四届HotICN国际会议的Track Chair担任国际知名期刊会议的审稿人：包括TNNLS、TKDE、AAAI、ICRA等","http:\u002F\u002Fjs.chd.edu.cn\u002Fsjkxyrgzn\u002Fhyj\u002Flist.htm",[],[],{"id":447,"name":448,"orgName":415,"school":389,"gender":405,"title":449,"degree":392,"honor":10,"position":10,"researchDirection":450,"intro":451,"province":395,"completeness":295,"avatarAuthorized":396,"sourceUrl":452,"nameValid":398,"tags":453,"tagNames":454},"cfb2e520-9fb7-0319-93d1-91e8c76d0e82","吴付威","高级工程师","1、道路交通运行风险防控理论2、驾驶行为安全3、智能辅助驾驶大型设备管理：1、人机共驾驾驶员人因采集分析系统  该设备主要用于驾驶行为及自动驾驶接管研究。硬件包含六米环屏三通道视景、力反馈方向盘及踏板、多服务器控制模块；配套Smarteye眼动仪与生理仪，用于采集眼动、心电等人因数据；另设与主场景同步的VR跑步机交互模块及单座模拟器，支持多车交互测试。软件基于SILAB建模，可快速搭建含高速、城市道路及动态交通参与者的各类场景，支撑复杂交通环境下的人因与安全性分析。2、人-车-环境系统虚拟仿真实验平台  主要用于车辆动力学仿真、驾驶行为及智能驾驶系统开发测试。硬件包含六自由度运动平台、180度环幕、保留原车内饰及CAN信号的仿真车辆，控制室集成各仿真工控机。软件由场景、动力学、交通流、采集、运动及仿真六大系统构成。平台支持车辆模型优化、高风险驾驶行为分析及算法硬件在环测试，并服务于本科毕业设计、学科竞赛及大创项目，落实实践与产出导向培养目标。3、驾驶行为与交通环境综合采集实验平台驾驶行为特征提取平台以多功能试验车为载体搭建，用于开展实际道路实验，真实反映驾驶人的操作行为特性。交通场景监控方面，搭载4路摄像头及前后毫米波雷达，可实时监测试验车周围交通环境及前后车辆相对位置。车辆运动状态采集方面，通过差分GPS实现精准定位，陀螺仪记录三轴加速度及俯仰、横摆、侧倾角速度，CAN总线采集车速、加速度、发动机转速、制动开关、加速踏板开度、转向灯及方向盘转角等数据。驾驶行为采集方面，配备FaceLab眼动仪追踪驾驶人视觉注意分配，测力方向盘记录转角与转动力矩，生理仪采集脑电、心电、皮电等信号，另有多路视频记录面部与脚部操作、语音记录音频，以及车道偏离与前碰撞预警系统，支持驾驶特性的综合分析","吴付威，博士，长安大学汽车学院高级工程师，运载工程实验室主任，“人-车系统安全理论与技术”教育部创新团队骨干成员。研究方向为人-车-路系统安全研究。近年来主持国家重点研发计划项目专题1项、中央高校基金项目2项、教育部产学研项目1项，参与国家自然科学基金项目、国家科技支撑计划重点项目专题、陕西省自然科学基金等项目多项。发表论文20余篇，获授权国家发明专利8项、实用新型专利13项、计算机软件著作权8项。 \n                                \n                                \n                               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