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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）","陕西","http:\u002F\u002Fjs.chd.edu.cn\u002Fqcxy\u002Fzhl1\u002Flist.htm",[],[],{"id":412,"name":413,"orgName":414,"school":401,"gender":402,"title":403,"degree":404,"honor":10,"position":10,"researchDirection":415,"intro":416,"province":407,"completeness":229,"avatarAuthorized":392,"sourceUrl":417,"nameValid":394,"tags":418,"tagNames":419},"312307a7-ce0b-81da-5054-a4a3a5fdcf58","吕景祥","长安大学工程机械学院","在半导体和先进封装制造领域，围绕电路板打印（曲面多层PCB)、电子器件打印（电容、电阻、电感）、芯片封装（TSV、TGV）、在线缺陷检测等方向开展研究；在航空航天领域，围绕喷涂装备研制、软件开发，工艺仿真和优化、缺陷检测等方向开展研究。深入开展校企合作，学术与实践并重，毕业的研究就业率100%，均就业于大院大所大厂等各领域龙头企业，包括：中国航天科工集团有限公司、中国航天科技集团公司、中国兵器工业集团、中国中车集团有限公司、中国人民解放军5702工厂、泛林半导体、宁德时代、海尔等。2025届毕业研究生就业情况：黄XX，就业于 中国航天科工集团有限公司六院210所加XX，就业于 中国航天科技集团有限公司第四研究院第四十二研究所下属湖北航鹏化学动力科技有限责任公司文XX，就业于 中车株洲电力机车研究所有限公司叶XX，就业于 中国人民解放军5702工厂2026届毕业研究生就业情况：孙 X，就业于 泛林半导体（Lam Research Corp.），全球晶圆制造设备及服务主要供应商林XX，就业于 宁德时代新能源科技股份有限公司，全球动力电池龙头企业刘XX，就业于 中国兵器工业集团下属凌云工业股份有限公司中央研究院刘XX，就业于 海尔集团公司，全球领先的家电制造企业与企业开展深入产学院合作，联合开发多款增材制造装备，详见：西安瑞特三维科技有限公司1. 智能制造，包括软件开发，设备控制。在软件开发方面，研究碳排放管理软件和减碳路径决策支持优化软件，以及智能设备控制软件、工艺数据处理软件、核心器件驱动软件开发等。在设备控制方面，研究设备运动控制、喷墨打印在线质量控制，用于实现按需喷墨、多轴联动运动控制以及在线质量管理。2. 增材制造，面向制造领域战略前沿技术，研究增材制造装备与工艺技术，抢抓新兴制造技术高点，助力航空、航天、电子等行业制造技术创新与产业变革。以选择性激光烧结、光固化成型、熔融沉积成型、喷墨打印、微笔直写等装备和工艺为研究对象，通过实验测试、材料微观结构表征、有限元仿真、机器学习等方法，研究成型机理、精度控制、工艺优化、装备设计等","副教授，硕士生导师，工程机械学院工程机械设计与制造系副主任，国家自然科学基金评议人。2004年在浙江大学机械与能源工程学院工业工程专业学习，获学士学位；2008年保送攻读博士，2014年取得浙江大学机械制造及其自动化专业博士学位。2016-2017年在西北工业大学机电学院进行博士后研究，2018年在长安大学工作至今。2017年在瑞典麦拉达伦大学做访问学者，2018-2019年在英国卡迪夫大学进行博士后研究。先后主持了国家自然科学基金青年项目、陕西省青年基金项目、中央高校基本科研业务费专项资金项目等，参与国家重点研发计划等国家重点项目。发表学术论文30余篇，其中SCI检索30篇，授权专利10余项。2017年入选国家留学基金委首届“国际清洁能源拔尖创新人才培养项目”。每年招收硕士研究生4名，欢迎对智能装备控制、工业软件、制造工艺领域等感兴趣的同学报考。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     担任 Applied Energy、Sustainability客座编辑，担任IEEE Transactions on Industrial Informatics、IEEE Transactions on Automation Science and Engineering、Applied Energy、Journal of Cleaner Production、Chinese Journal of Mechanical Engineering、Journal of Industrial and Production Engineering、Mechanics of Materials、 ASME Journal of Computing and Information Science in Engineering、International Journal of Computer Integrated Manufacturing、Science of the Total Environment、Advanced Engineering Informatics等国际期刊审稿人","http:\u002F\u002Fjs.chd.edu.cn\u002Fgcjxxy\u002Fljx101\u002Flist.htm",[],[],{"id":421,"name":422,"orgName":423,"school":401,"gender":424,"title":425,"degree":404,"honor":10,"position":10,"researchDirection":426,"intro":427,"province":407,"completeness":229,"avatarAuthorized":392,"sourceUrl":428,"nameValid":394,"tags":429,"tagNames":430},"9a49634a-ddf4-381b-765f-75d3a400e264","崔华","长安大学数据科学与人工智能研究院","女","教授","研究领域为图像分析、数据挖掘、机器学习、深度学习及其在智能交通中的应用研究，具体研究方向有：1.视频监控下车辆违规、碰撞行为预测与判别2.视频网络中车辆画像及车辆检索3.道路拥堵状态快速预测与识别4.道路中行人闯入预测与识别5.公共场合人群行为分析6.雷视多模态信息融合下的目标跟踪7.人脸识别、表情识别、情感分析其在智慧交通、智慧教育中的应用","崔华，女，1977年1月出生，河南南阳人。博士（后）， 教授，博士生导师。未来交通学院副院长。教育部首批国家样板支部负责人。长安大学交通信息工程及控制国家级重点学科的学术方向带头人。2008年6月毕业于西安电子科技大学理学院应用数学专业，获理学博士学位。2013年6月在长安大学国家重点学科“交通信息与控制”博士后流动站完成博士后研究工作。2013年4月在美国佐治亚理工学院电子与计算机工程系完成访问学者研究工作。主要研究方向：机器学习、深度学习、数据挖掘理论研究及其在视频理解、智慧交通、智慧教育中的应用研究及产业化推广。主要研究成果：主持国家重点研发计划子项目、陕西省重点研发计划、陕西省科技攻关计划、陕西省自然科学基金、教育大数据挖掘及可视化项目等各类研究课题10余项，参与国家“863”项目、国家自然科学基金项目、高等学校博士学科点专项科研基金、交通部科技项目等课题10余项。获中国公路学会科学技术三等奖1项。发表学术论文30多篇，获国家发明专利6项，软件著作权16项，3项成果得到推广应用。主持及参与“交通信息工程专业”综合改革试点、“交通视频分析”省级精品课等教育教学改革项目6项。硕士生、博士生招生方向：人工智能、机器学习、数据挖掘算法研究及其在视频理解、智慧交通、智慧教育中的应用研究。热烈欢迎有志于该领域的青年才俊踊跃报考加入团队，共同攀登科技高峰，铸就幸福人生，服务社会，造福人民，为我国复兴伟业早日达成努力贡献力量。特别提醒：无编程基础或不爱好编程的同学请勿选报。视频智能理解科研团队  招募有志于创新的莘莘学子· 视频智能理解科研团队是依托人工智能专业和国家一流学科交通信息工程，围绕人工智能方法研究及其在交通视频理解、教育视频理解、多源异构大数据挖掘中的应用研究，而形成的研究团队。特面向全校广大本科生设立创新实践基地。· 每年设立若干紧跟科技前沿的课题和贴近智慧交通、智慧教育行业需求的项目，给予一定的经费支持，每个项目招募2~3人组成创新团队，由团队具备深厚学术造诣和丰富科研经验的老师专门辅导。· 有意参加的学生可发邮件咨询： huacui@chd.edu.cn优秀课题及学生可推荐参加国内外各类主流竞赛，学生所选课题可作为本科毕业设计内容。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     陕西省图形图像学会理事，中国人工智能学会会员","http:\u002F\u002Fjs.chd.edu.cn\u002Fsjkxyrgzn\u002Fch101\u002Flist.htm",[],[],{"id":432,"name":433,"orgName":434,"school":401,"gender":402,"title":425,"degree":404,"honor":10,"position":10,"researchDirection":435,"intro":436,"province":407,"completeness":295,"avatarAuthorized":392,"sourceUrl":437,"nameValid":394,"tags":438,"tagNames":454},"27bdd47a-0f85-a0cc-e822-badae306c50e","耿九光","长安大学材料科学与工程学院","主要从事生态环境材料、功能材料、固废资源化利用、智慧交通材料等方向的研究。团队科研条件优越，欢迎材料、化学、交通等专业背景的同学报考硕士、博士研究生，加入研究团队。每年招收硕士研究生2-4名，博士研究生1-2名。近年毕业生就业情况如下：博士毕业生陈**  浙江师范大学赵**  河南理工大学硕士毕业生2024届硕士：张**  西安比亚迪何**  硕博连读2025届硕士：朱**  长江存储杨**  常州中车2026届硕士：魏**  西安三星齐**  青岛物元半导体马**  长鑫存储","耿九光，工学博士，教授，博士生导师，现就职于长安大学材料科学与工程学院，主要从事生态环境材料、固废资源化利用、交通功能材料等方向的研究。近年作为项目负责人主持完成包括国家自然科学基金、中国博士后基金、陕西省重点研发计划、交通运输厅科技项目及企业合作项目等共30余项，参与完成科研项目30余项。近年来发表论文70余篇，其中SCI\u002FEI检索40余篇，获批专利10余项，科研成果获科技奖励4项。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     担任世界交通运输大会（WTC）技术委员会委员，Journal of Traffic and Transportation Engineering (English Edition)青年编委，以及Construction and Building Materials、Journal of Cleaner Production、International Journal of Pavement Research and 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