Speakers of 2026

IDST 2026  ·  KEYNOTE SPEAKERS

Keynote Speakers

2026 3rd International Conference on Intelligent Driving and Smart Transportation

           
★ Keynote Speaker ★
Prof. Guoxiang Gu

Prof. Guoxiang Gu

顾国祥 教授 · 杰出教授

🏛Louisiana State University, USA

IEEE Life FellowDistinguished Professor
Networked Control SystemsSystem IdentificationAdaptive Learning Control

📖 Biography

Guoxiang Gu is a professor in the School of Electrical and Computer Engineering at Louisiana State University, USA. He received his Ph.D. in Electrical Engineering from the University of Minnesota in 1988.

Since 1990, he has been a faculty member at Louisiana State University, where he is currently the F. Hugh Coughlin/CLECO Distinguished Professor and an IEEE Life Fellow. He has held visiting positions at Wright-Patterson Air Force Base, the Hong Kong University of Science and Technology, and Southwest Jiaotong University in China. His research interests include networked control systems, system identification, and adaptive learning control. He has served as an associate editor for journals such as IEEE Transactions on Automatic Control, SIAM Journal on Control and Optimization, and Automatica. He has published two academic monographs, over 90 journal papers, and numerous book chapters and conference papers.

🇨🇳 中文简介(Chinese Version)

顾国祥(Guoxiang Gu),美国路易斯安那州立大学电子与计算机工程学院教授。于1988年在美国明尼苏达大学获得电气工程博士学位。

自1990年起,顾国祥任教于路易斯安那州立大学,现为该校F. Hugh Coughlin/CLECO杰出教授、IEEE终生会士。曾在美国莱特-帕特森(Wright-Patterson)空军基地、中国香港科技大学、中国西南交通大学等机构担任访问职位。其研究方向包括网络化控制系统、系统辨识与自适应学习控制等。曾担任IEEE Transactions on Automatic Control、SIAM Journal on Control and Optimization及Automatica等期刊的副编辑。已出版学术专著2部,在学术期刊上发表了超过90篇论文,并著有大量书籍章节和会议论文。

           
★ Keynote Speaker ★
Prof. Ke Guan

Prof. Ke Guan

官科 教授 · 博士生导师

🏛Beijing Jiaotong University, China

State Key Laboratory ProfessorHumboldt Research FellowURSI Young Scientist Award
Radio Propagation & Channel ModelingMillimeter Wave & Terahertz CommunicationsSmart Rail Transit Mobile CommunicationsAI-based Wireless Network Planning

📖 Biography

Ke Guan is a Professor and Doctoral Supervisor at the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, China. He received his Ph.D. in Communication and Information Systems from Beijing Jiaotong University in 2014, and was a visiting scholar at the Technische Universität Braunschweig (Germany) and the Universidad Politécnica de Madrid (Spain).

His research focuses on radio propagation, millimeter-wave and terahertz channel measurement and modeling, and mobile communication systems for smart rail transit (GSM-R, LTE-R, 5G-R). He has authored over 259 publications, including 93 SCI journal papers, with more than 3,600 citations and an h-index of 30. He has served as a management committee member of the European COST Actions and as an editorial board member for several IEEE journals, and is a 3GPP interface person for Beijing Jiaotong University.

He was awarded the Second Prize of the Natural Science Award of the Ministry of Education of China (2016), a Research Fellowship from the Alexander von Humboldt Foundation (2015) and the URSI Young Scientist Award (2014). He also received the First Prize in the National Young Teachers' Teaching Competition for Electronic Information Majors (2019).

🇨🇳 中文简介(Chinese Version)

官科,北京交通大学轨道交通控制与安全国家重点实验室教授、博士生导师。2014年毕业于北京交通大学通信与信息系统专业,获工学博士学位;曾先后赴德国布伦瑞克工业大学、西班牙马德里理工大学访问研究。

主要从事电波传播与无线信道测量、仿真与建模,毫米波与太赫兹通信,以及智慧轨道交通移动通信系统(GSM-R、LTE-R、5G-R)等方向的研究。已发表各类学术成果259篇,其中SCI期刊论文93篇,总引用超过3600次,h指数30。曾任欧洲科学技术合作计划(COST)管理委员会成员,并担任多个IEEE期刊编委,是3GPP北京交通大学接口人。

曾获教育部自然科学奖二等奖(2016年)、德国洪堡基金会外国科学家研究奖学金(2015年)、国际无线电科学联盟(URSI)青年科学家奖(2014年),以及全国高等学校电子信息类专业青年教师授课竞赛特等奖(2019年)。

           
★ Keynote Speaker ★
Prof. Renxiang Chen

Prof. Renxiang Chen

陈仁祥 三级教授 · 博士生导师 · 副院长

🏛Chongqing Jiaotong University, China

Transportation Youth Sci-Tech TalentBayu ScholarVice Dean, College of Mechatronics
Embodied Intelligent Robots and AIFault Diagnosis and PrognosticsIntelligent Operation and MaintenanceIntelligent Vehicles and Autonomous Driving

📖 Biography

Renxiang Chen is a Professor and Doctoral Supervisor at Chongqing Jiaotong University, China, where he serves as Vice Dean of the College of Mechatronics and Vehicle Engineering and Executive Vice Dean of the Transportation Robot Integration Innovation Research Institute. He received his Ph.D. from Chongqing University and was a visiting scholar at the University of Illinois at Chicago, USA.

His research covers intelligent measurement and control, fault prediction and health management, intelligent operation and maintenance, robotics and artificial intelligence, intelligent vehicles and rail transit vehicles. He has led three projects funded by the National Natural Science Foundation of China (two General Programs and one Youth Program) and more than 30 national and provincial/ministerial projects, including sub-topics of the National Key R&D Program.

He has published over 90 SCI/EI indexed papers as first author or corresponding author in journals such as IEEE Transactions on Industrial Informatics and the Journal of Mechanical Engineering, and has been granted 15 invention patents. He was selected as a Transportation Youth Sci-Tech Talent of the Ministry of Transport of China and a Bayu Young Scholar of Chongqing, and has received the First Prize of the Chongqing Science and Technology Progress Award twice.

🇨🇳 中文简介(Chinese Version)

陈仁祥,重庆交通大学机电与车辆工程学院副院长、交通机器人融合创新研究院常务副院长、交通工程应用机器人重庆市工程实验室主任,三级教授、博士(后)、博士研究生导师。毕业于重庆大学,获工学博士学位,曾作为国家公派访问学者赴美国伊利诺伊大学芝加哥分校访学。

长期从事智能测试与控制、健康监测与智能运维、具身智能装备与机器人、智能车辆与自主运行等领域的研究,研发了大数据运维平台与运维机器人系统。主持国家自然科学基金项目3项(面上2项、青年1项),以及国家重点研发计划项目子课题、中国博士后科学基金、重庆市基础与前沿计划等国家、省部级科研项目30余项。

以第一作者或通信作者在《IEEE TII》《机械工程学报》《Neurocomputing》等国内外期刊发表SCI/EI检索论文90余篇,授权发明专利15项,获重庆市科技进步奖一等奖2项、中国公路学会科学技术奖二等奖等奖项。入选交通运输部交通运输青年科技英才、重庆市巴渝学者青年学者、重庆市学术技术带头人后备人选。

           
★ Keynote Speaker ★
Prof. Dingjun Chen

Prof. Dingjun Chen

陈钉均 教授 · 博士生导师

🏛Southwest Jiaotong University, China

First Prize · Sichuan Sci-Tech Progress AwardFirst Prize · China Railway SocietyWTC Committee Member
Rail Transit Operation OrganizationTrain Timetable OptimizationTransportation Planning and Management

📖 Biography

Dingjun Chen is a Professor and Doctoral Supervisor in the Department of Transportation Engineering, School of Transportation and Logistics, Southwest Jiaotong University, China. He received his Ph.D. in Transportation Engineering from Southwest Jiaotong University.

His research focuses on the optimization of rail transit transportation organization, including train timetables and transportation planning under complex railway network conditions. He is a research member of the Sichuan Engineering Technology Research Center for Intelligent Rail Transit Operation Organization and of the National Railway Train Timetable Compilation R&D and Training Center. He has led more than 20 research projects, including sub-topics of the National Key R&D Program and projects funded by the National Natural Science Foundation of China.

He has published over 50 papers in journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part D and Reliability Engineering and System Safety, more than 30 of which are indexed by SCI/EI. He has published two academic monographs and one textbook, and holds 12 national invention patents. He has been awarded the First Prize of the Sichuan Science and Technology Progress Award and the First, Second and Third Prizes of the China Railway Society Science and Technology Award.

🇨🇳 中文简介(Chinese Version)

陈钉均,西南交通大学交通运输与物流学院运输工程系教授、博士生导师,四川南充人。毕业于西南交通大学,获工学博士学位。

主要从事轨道交通运输组织优化方面的研究,是四川省轨道交通智能运输组织工程技术研究中心、西南交通大学全国铁路列车运行图编制研发培训中心研究成员,并担任世界交通运输大会旅客运输组织技术委员会委员、VTCA国际会议程序委员会主席及委员。主持国家重点研发计划子课题、国家自然科学基金面上项目及青年基金、四川省科技计划、成都市技术研发计划等各类项目20余项。

在IEEE Transactions on Intelligent Transportation Systems、Transportation Research Part D、Reliability Engineering and System Safety、《交通运输工程学报》等国内外刊物和会议发表论文50余篇,其中SCI/EI检索30余篇;出版专著2部、教材1部,授权国家发明专利12项,参与编写标准2部。曾获四川省科技进步一等奖,中国铁道学会铁道科技一等奖、二等奖、三等奖各1项,并入选国家铁路局首批铁路重大科技创新成果。

IDST 2026 · 3rd International Conference on Intelligent Driving and Smart Transportation
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