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项（含5项国家自然科学基金项目）；发表学术论文 86 篇，获授权专利 46 项，主持起草企业标准 4 项。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     中国工程机械学会理事俄罗斯质量问题科学院院士内蒙古自治区标准化专家内蒙古自治区智能制造专家国家自然科学基金同行评议专家浙江省自然科学基金同行评议专家西安交通大学学报、振动与测试、重庆大学学报、Journal of Industrial and Production Engineering等国内外学术期刊审稿专家《莫斯科国立汽车公路技术大学（MADI）学报》（ВАК收录期刊）编委会成员《Ремонт. Восстановление. Модернизация.（维修、修复、现代化）》（ВАК收录期刊）编委会成员第十三届呼和浩特市政治协商委员会委员","陕西",false,"http:\u002F\u002Fjs.chd.edu.cn\u002Fgcjxxy\u002Fchy2\u002Flist.htm",true,[],[],{"id":402,"name":403,"orgName":388,"school":389,"gender":390,"title":404,"degree":392,"honor":10,"position":10,"researchDirection":405,"intro":406,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":407,"nameValid":398,"tags":408,"tagNames":409},"6e3e8e59-4241-5c38-b7c6-293a889b3ed2","王海英","副教授","高速公路建设项目管理信息化技术 研究公路工程建设全过程信息化管理技术体系，包括BIM协同平台、数字孪生、施工期数据集成与智能决策。大型结构无线远程监测与控制 研究桥梁、隧道及施工装备的无线传感、远程监测与智能控制技术，实现结构状态实时监测与健康评估。隧道与桥梁结构安全监测技术 研究基于物联网与多源数据融合的结构安全监测、风险预警与动态评估方法。机电液一体化及智能控制技术 研究工程装备机电液系统的综合控制与性能优化，探索智能感知与自适应控制在施工装备中的应用","王海英，工学博士，长安大学工程机械学院副教授、硕士研究生导师。长期从事公路工程信息化与智能化建设技术研究，主要研究方向包括高速公路建设项目管理信息化、桥隧工程BIM协同管理与智能管控、结构健康监测与预警技术、机电液一体化及智能控制等。主持和参与科研项目二十余项，包括国家级项目、省部级科研项目及企业联合攻关课题。主持多项依托交通强国陕西示范工程——西安外环高速公路项目的科研任务，重点开展高速公路建设信息化、BIM协同管控与智能化运营关键技术研究。先后主持陕西省交通运输厅科研项目《BIM在西安外环高速公路南段建设管理中的应用研究（18-33X）》和《智能化高速公路建设运营管理信息技术研究（21-04X）》，并完成《基于BIM的铁路桥梁结构安全监测与预警技术（20-19K）》与《建设质量安全管理信息化技术研究（17-55X）》等项目，研究成果已在陕西省多项高速公路与铁路工程中推广应用。科研成果入选国务院国资委“国有企业数字化转型典型案例”和中国交通运输学会“交通行业数字化转型典型案例”，并多次获得中国设备管理协会、中国公路学会及陕西省科学技术进步奖等国家级和省部级奖励。近年来，主编行业及地方标准3部，参编9部，推动了公路工程信息化与BIM协同管理技术的标准化建设。发表学术论文50余篇，获得发明专利、实用新型专利及软件著作权90余项。主讲课程包括《单片机原理与应用》《微机原理与接口技术》《BIM与工程管理技术》等。本课题组科研氛围积极，注重理论研究与工程实践的结合。在科研工作之外，带领学生多次参加交通运输领域国际会议和行业学会交流活动，其研究成果发表于国内外高水平期刊与国际会议。招生专业：机械电子工程主要研究方向为交通基础设施智能建造与信息化技术，涵盖机电液一体化、BIM智能管控与结构监测等交叉领域。欢迎热爱机械电子工程、控制与信息化研究的同学报考。 \n                                \n                                \n                                    \n                                         社会职务","http:\u002F\u002Fjs.chd.edu.cn\u002Fgcjxxy\u002Fwhy\u002Flist.htm",[],[],{"id":411,"name":412,"orgName":388,"school":389,"gender":390,"title":391,"degree":392,"honor":10,"position":10,"researchDirection":413,"intro":414,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":415,"nameValid":398,"tags":416,"tagNames":417},"f4a72524-54e9-8c3a-49d4-6b1489444bb0","曹蕾蕾","从事重大装备长效服役保障机制研究主要包括：（1）基于人工智能的装备运维技术与系统开发（工业机器人智能决策与应用）；（2）面向低、宽频减振降噪的超材料\u002F结构设计；（3）大型结构件多轴疲劳寿命分析与预测。课题组招生名额充足，欢迎志同道合的小伙伴积极报考！","曹蕾蕾，女，博士，教授，博士生导师，道路施工技术与装备教育部重点实验室副主任，长安大学学科建设责任教授，德国 University of Siegen国家公派访问学者，中国电子技术标准化研究院华东分院科研成果评审专家，陕西省齿轮传动重点实验室特聘专家，陕西省振动工程学会理事，西安市机械工程学会理事。2001年9月至2005年6月在西北工业大学机械设计制造及其自动化专业学习，获学士学位；2005年9月至2011年6月在西北工业大学机械设计及理论专业学习，获工学博士学位，博士期间，作为 “国家建设高水平大学研究生项目”的公派博士生赴澳大利亚国立大学（Australia National University）进行为期两年（2008.9-2010.8）的联合培养学习；2011年10月至2014年11月在长安大学交通运输工程博士后科研流动站进行博士后研究；2019年8月至2020年7月在德国锡根大学（University of Siegen）Chuangzeng Zhang院士课题组 Chair of Structural Mechanics进行客座研究。从事重大装备长效服役研究，主要包括：（1）工业机器人智能决策与应用（基于人工智能的装备运维技术与系统开发）；（2）面向低、宽频减振降噪的超材料\u002F结构设计；（3）大型结构件多轴疲劳寿命分析与预测。  先后主持国家自然科学基金、国家科技支撑计划子课题、陕西省自然科学基金、上汽科技基金和校企合作项目等项目20余项，发表学术论文50余篇，其中，SCI收录20篇，以第一发明人授权专利23项，软件著作权18项。获河南省交通科学技术一等奖1项，陕西省高等学校科学技术研究成果一等奖1项。担任国家自然科学基金评审专家、陕西省自然科学基金评审专家；为International  Journal of Mechanics and Materials in Design，Australian Journal of Mechanical Engineering，Applied Mathematics and Computation, Computers & Mathematics with Applications, Engineering Analysis with Boundary Elements , Applied Mathematical Modelling等国际期刊评审专家。    课题组与德国、澳大利亚、美国、法国等国家的著名高校开展了形式多样的项目合作和人才交流，热烈欢迎广大有志青年积极报考，加入我们的大家庭！计划每年招收博士研究生1-2人、硕士研究生4人。同时欢迎在读大二、大三、大四同学到课题组进行科研锻炼。联系方式: caoleilei@chd.edu.cn \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     教育部道路施工技术与装备重点实验室副主任；陕西省齿轮传动重点实验室特聘专家；中国电子技术标准化研究院华东分院科研成果评审专家陕西省振动工程学会理事；西安市机械工程学会理事；《重型机械》青年编委","http:\u002F\u002Fjs.chd.edu.cn\u002Fgcjxxy\u002Fcll\u002Flist.htm",[],[],{"id":419,"name":420,"orgName":421,"school":389,"gender":390,"title":391,"degree":392,"honor":10,"position":10,"researchDirection":422,"intro":423,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":424,"nameValid":398,"tags":425,"tagNames":426},"2cb72ba7-02a2-40c7-0a75-4bc120073b7d","李颖","长安大学信息工程学院","研究领域主要研究领域包括自动驾驶协同技术、交通流理论与交通控制、智能交通系统等。主要研究方向包括：（1）数据驱动的自动驾驶决策方法：面向复杂交互下的交通场景，研究融合多源交通数据的自动驾驶行为决策、轨迹规划与协同控制方法，关注端到端自动驾驶、视觉-语言-动作（VLA）模型等前沿技术。（2）大模型赋能交通智能管控：研究大语言模型、多模态基础模型与交通领域知识的融合方法，探索其在交通感知、状态预测、智能决策与交通管控中的应用。（3）异质交通流建模：面向自动驾驶车辆、人类驾驶车辆、非机动车与行人混合交通环境，研究异质交通流演化机理、多尺度建模方法及协同优化控制理论。招生信息本人拟招收2027级硕士研究生4名，诚挚欢迎计算机科学与技术、人工智能、交通工程等相关专业背景的同学报考。欢迎获得保研资格的优秀本科生提前联系沟通，可安排线上交流，可以为有需求的同学提供本科毕业设计指导。本课题组能够提供：（1）根据学生发展意愿，全力支持名校交流访学、读博推荐、企业实习以及考公考编等个人发展；（2）对于科研动手能力强、态度端正的学生，可推荐至顶尖高校交流学习，拓展学术视野与平台资源；（3）尊重每一位学生的发展节奏与个人选择，鼓励自由探索，杜绝内耗型竞争。课题组氛围开放包容，算力资源丰富，欢迎有志于智能交通领域前沿研究的同学加入","李颖，博士（后），教授，博士生导师，硕士生导师，现任长安大学信息工程学院中外合作办学办公室主任。入选长安大学青年“长安学者”，获评长安大学海内外优秀博士毕业生专项。本人于2011年硕士毕业于帝国理工学院（2026QS Rank 2），2016年博士毕业于伦敦大学学院（2026QS Rank 9）。2016年入职长安大学信息工程学院，长期从事人工智能与交通运输工程交叉领域的研究工作。主要研究领域包括智能交通系统、交通流理论与交通控制、自动驾驶协同技术。主要研究方向包括：数据驱动的自动驾驶决策方法、大模型赋能交通智能管控、异质交通流建模等。主持国家重点研发计划项目子课题、国家自然科学基金青年基金、陕西省重点研发计划项目、中央高校基本科研业务费资助项目（长安学者青年学者基金）、中国博士后科学基金面上基金，作为研究骨干参与国家自然科学基金面上项目及陕西省自然科学重大项目等。相关学术成果发表于《IEEE Transactions on Intelligent Transportation Systems》、《Expert Systems With Applications》、《Transportmetrica B：Transport Dynamics》、《Journal of Intelligent and Connected Vehicles》、《Transportation Planning and Technology》等交通及计算机顶级期刊。还曾多次受邀参加国内外重要学术会议并在大会上作报告，包括国际著名的美国交通运输年会TRB（Transportation Research Board）、COTA国际交通科技年会（CICTP）、香港交通研究国际会议(HKSTS)和世界交通运输大会(WCTR)。    指导本科生参加“创青春”全国大学生创业大赛、中国“互联网+”大学生创新创业大赛、全国大学生交通运输科技大赛等学科领域相关比赛，并获得多项省级及国家级奖项。 \n                                \n                                \n                                    \n                                         社会职务","http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Fly_5462\u002Flist.htm",[],[],{"id":428,"name":429,"orgName":430,"school":389,"gender":390,"title":404,"degree":392,"honor":10,"position":10,"researchDirection":431,"intro":432,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":433,"nameValid":398,"tags":434,"tagNames":435},"fb9efa5f-ed20-d673-4bc8-b0d81621621c","李博","长安大学运输工程学院","主要研究领域包括：1.驾驶行为建模与车辆轨迹预测2.综合交通运输与智慧物流（包括物流智能决策与动态协同、无人物流运输系统设计及其调度优化等）","李博，女，2010年毕业于西北工业大学，获管理学博士学位。现任职于长安大学运输工程学院交通运输规系和交通运输系统组织与控制研究所，副教授，硕士生导师。 \n                                \n                                \n                                    \n                                         社会职务","http:\u002F\u002Fjs.chd.edu.cn\u002Fysgcxy\u002Flb\u002Flist.htm",[],[],{"id":437,"name":438,"orgName":421,"school":389,"gender":439,"title":391,"degree":392,"honor":10,"position":10,"researchDirection":440,"intro":441,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":442,"nameValid":398,"tags":443,"tagNames":444},"73372cc7-3149-5246-f527-f69d70975dac","安毅生","男","主要从事车联网与智能交通系统环境下的智能驾驶决策与控制、交叉口交通组织优化、车载边缘计算资源调度等相关研究。研究内容涵盖交通控制理论、离散事件系统建模与应用、Petri网理论与应用、强化学习、边缘计算、网络协议的建模与验证、智能车路协同系统及多目标优化等交叉学科领域。主要研究如下：（1）面向自动驾驶智能决策的高效深度强化学习方法研究   深度强化学习为自动驾驶系统提供了高度灵活的智能决策能力，但其训练效率低、算法结构复杂、对高质量示范数据依赖性强等问题，限制了其在实际自动驾驶场景中的落地应用。课题组针对上述挑战，开展了面向自动驾驶的高效DRL训练方法与智能决策策略研究。针对连续动作空间中时序稀疏的典型自动驾驶任务，设计了基于改进优势函数与回归损失函数的预训练算法，可在仅需单网络训练的条件下有效提升策略收敛速度与性能表现，同时降低计算复杂度。在具体应用中，课题组探索了DRL方法在自动驾驶超车决策、安全驾驶控制等关键场景中的性能表现与适应性，提出多项改进策略，强化其在复杂动态环境下的鲁棒性与实用性。研究成果为构建具备学习能力、响应效率与安全保障的自动驾驶智能决策系统提供了算法支撑与仿真验证。 （2）基于Petri网的自动驾驶车辆交叉口协调控制与轨迹优化方法  交叉口是城市道路系统中冲突最集中、控制最复杂的区域，自动驾驶车辆在此易发生通行冲突与交通死锁，严重制约其安全高效运行。课题组针对该问题，基于Petri网建立了交叉口内交通流的形式化建模方法，提出面向自动驾驶车辆的死锁预防控制器设计策略，可实现多方向交通流的实时监控与冲突管理。此外，结合轨迹优化需求，进一步发展出一种Petri网辅助的迭代轨迹优化算法，在保障可行性的基础上显著提升优化效率与通行性能。研究成果可广泛应用于多车多车道无信号交叉口场景，为自动驾驶车辆提供安全、协同、高效的通行决策支持。  （3）面向车载边缘计算的可信任务卸载与高效信息传播机制研究  在智能交通系统不断发展的背景下，车载边缘计算（VEC）成为支持车路协同和自动驾驶应用的关键技术之一。然而，VEC面临车辆计算资源受限、节点高度动态以及服务质量难以保障等挑战。课题组围绕上述问题，系统研究了车载环境下的动态任务卸载与消息传播机制。在任务卸载方面，提出了融合响应时效性与计算结果准确性的双维信誉模型，并结合CRITIC+TOPSIS方法进行服务车辆性能排序，最终设计出面向性能价值最优化的任务卸载方案（PFVMax-VCO），实现多目标优化调度，提升任务完成率与系统稳定性。在消息传播方面，课题组提出了基于反向路由协议（RRP）的交通预警信息定向传播系统（TWMDS），结合Petri网模型对系统交互行为进行形式化建模与验证，实现对潜在拥堵区域的高效信息覆盖。上述研究成果为构建可信、高效、可控的车载边缘计算环境与信息交互体系提供了理论支撑与实践基础","安毅生，男，1972年6月生，陕西西安人，博士、教授，博士生导师，长安大学信息工程学院院长。长安大学计算机科学与技术专业建设负责人，“交通信息工程及控制”学科A岗责任教授，交通运输部认定自动驾驶封闭场地测试基地副主任。陕西省计算机学会理事，陕西省计算机教育学会副理事长，中国计算机学会高级会员，中国自动化学会、ACM、IEEE会员，中国自动化学会网络信息服务专委会委员。教育部工程教育认证专家，教育部学位与研究生教育发展中心评审专家，国家自然科学基金委函评专家，陕西省、重庆市科学技术奖评审专家，陕西省、西安市青年拔尖创新人才评审专家。  近年来主要从事自动驾驶系统测试、交通流建模与仿真、数字孪生系统构建等方面的科学研究和技术开发工作，围绕“封闭场地自动驾驶虚实融合测试”和“基于数字孪生的自动驾驶虚拟测试”等方向，作为项目负责人，主持完成了包括国家重点研发计划课题、国家自然科学基金面上项目、陕西省工业公关重点项目、陕西省自然科学基金重点项目以及中兴通讯、陕西交控等知名企业委托的纵、横向研究课题等20余项。作为教育部长江学者和创新团队发展计划项目“多源异构交通信息智能检测与融合技术”的骨干成员，参与完成了多项重要技术的研发与测试工作。作为核心成员，荣获国家科技进步奖二等奖一项、陕西省科学技术奖一等奖一项。获得发明专利12项，发表学术论文70余篇，培养博士和硕士研究生30余人。主要研究方向：  目前主要从事离散事件系统建模与应用，Petri网理论与应用，网络协议的建模与验证、软件系统建模、实时系统的建模与验证、以及智能车路协同系统等领域的科学研究和技术开发工作。主要围绕“弹性交通信息物理系统建模与评估”和“人机共驾协作行为监督控制”等方向展开研究。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     陕西省计算机学会理事陕西省计算机教育学会副理事长中国自动化学会网络信息服务专委会委员IEEE会员ACM会员CCF高级会员CCA会员教育部工程教育认证专家教育部学位与研究生教育发展中心评审专家国家自然科学基金委函评专家陕西省、重庆市科学技术奖评审专家陕西省、西安市青年拔尖创新人才评审专家著名期刊\\会议审稿人➢IEEE Intelligent Transportation Systems Transaction.➢IEEE Transactions on Systems, Man, and Cybernetics➢IEEE Transactions on Vehicular Technology➢Engineering Applications of Artificial Intelligence➢Knowledge-Based Systems➢Expert Systems With Applications➢AAAI\\ICRA\\ITSC\\TRB等重要会议审稿人","http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Fays\u002Flist.htm",[],[],{"id":446,"name":447,"orgName":448,"school":389,"gender":439,"title":404,"degree":392,"honor":10,"position":10,"researchDirection":449,"intro":450,"province":395,"completeness":295,"avatarAuthorized":396,"sourceUrl":451,"nameValid":398,"tags":452,"tagNames":453},"75faaa1a-9507-e193-7d98-db26efb22d0d","王振","长安大学汽车学院","1. 轻质材料智能制造技术 (Intelligent Manufacturing Technologies for Lightweight Materials )复合材料构件、金属-复材构件虚拟成形、数字孪生、缺陷抑制、智能决策研究2. 轻质薄板先进连接技术 (Advanced Connecting Technologies for Lightweight Sheets)金属-金属、复材-复材、金属-复材薄板结构连接方法、数值模拟、稳健设计研究3. 复材结构性能评估与优化 (Structural Performance Evaluation and Optimization for Composite )复合材料、金属-复材构件材料本构开发、数值模型建立、结构性能评估及优化设计研究4. 数据驱动的“材料-工艺-结构”一体化设计方法 (Data-driven“Material-Process-Structure”Integrated Design Method)金属、复合材料、金属-复材混杂构件“材料-工艺-结构”一体化高效智能设计方法研究","王振，男，1990年出生于河南郑州，2021年6月博士毕业于湖南大学机械与运载工程学院，2021年8月入职长安大学汽车学院车辆工程系，现为副教授，硕士研究生导师。主要从事汽车碰撞安全性及轻量化设计、复合材料汽车零部件智能制造等方向的科研工作，以第一作者或通讯作者发表高质量论文20余篇，1篇论文入选ESI全球前1‰“热点论文”，4篇论文入选ESI全球前1%“高被引论文”。主持中国博士后第74批面上项目1项、陕西省博士后一等资助项目1项、陕西省自然基金面上\u002F青年项目2项，长安大学中央高校科研项目1项、湖南省研究生科研创新项目1项；完成科技成果转化项目1项；主持企业横向项目2项；参与国家自然科学基金面上项目2项、国家自然科学基金青年基金1项。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     《Composites Part B:Engineering》、《Thin-walled structures》等国际期刊审稿人《Polymers》特刊“Functional Fiber-Reinforced 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