王伟，西安交通大学管理学院副教授、博士生导师。先后获得中国科学技术大学自动化专业学士学位、控制科学与工程专业博士学位，以及香港城市大学系统工程与工程管理系博士学位。研究方向包括：时空数据驱动的智慧应急管理，系统可靠性、维修性建模优化，复杂装备智能运维与故障诊断，智能交通系统及运筹优化算法等。近年来在国内外重要学术期刊和会议发表论文60余篇，其中SCI期刊论文40余篇；主持国家自然科学基金面上、青年项目，教育部人文社科项目，陕西省自然科学基础研究计划面上项目，陕西省社科基金年度项目，中国博士后科学基金面上项目，中央高校基本科研业务费项目，工业互联网创新应用联合实验室项目等各级课题；参与国家自科重大、面上项目，国家社科重大项目，国家重点研发计划课题，陕西省哲社科重大理论与现实问题研究项目，陕西省自科面上项目，陕西高校青年创新团队项目，中国移动揭榜挂帅项目，南方电网科技项目等各级课题20余项；担任中国指挥与控制学会火力与指挥控制专业委员会委员，中国优选法统筹法与经济数学研究会复杂装备研制管理专业委员会委员；担任多本国内外学术期刊编委，并长期担任百余本国内外知名学术期刊的同行评议人。

邮箱/Email：wwwayne AT xjtu.edu.cn

地址：西安交通大学管理学院774

学术主页：Google Scholar；ORCID;  Research Gate；Scopus.

Dr. Wei Wang is currently an Associate Professor at the School of Management, Xi'an Jiaotong University, China. He received his B.Eng. degree in automation from the University of Science and Technology of China (USTC), and his Ph.D. degrees in system engineering and engineering management from USTC and the City University of Hong Kong. His research interests include system reliability modeling and maintenance strategy, risk analysis and safety management of complex systems, data-driven intelligent emergency management, intelligent transportation systems, and operations optimization algorithms. He has published more than 60 papers and serves as an editorial board member for several academic journals and as a peer reviewer for over 100 well-known academic journals.  

每年招收学术型硕士、博士研究生，以及MEM若干

（管理科学、工业工程、大数据、机械工程、信息工程、数学、计算机相关专业背景均可）

欢迎积极上进的、未来准备出国进修/保研的本科生加入课题组科研实习、竞赛、毕设

感兴趣的同学可邮件联系：wwwayne AT xjtu.edu.cn

研究领域 Research Interests 

             ➤ 复杂系统风险决策与安全管理；      ➤ 复杂装备智能运维与故障诊断；

             ➤ 时空数据驱动的智慧应急管理；      ➤ 智能交通系统及运筹优化算法；

             ➤ 系统可靠性、维修性建模优化；      等领域的前沿理论及实践研究。

代表性研究成果 Selected Publications   更多科研成果见：Research Gate, Scopus, Google Scholar. 

1. Gradient-based Distributed Cruise Control under Intermittent V2V Communication for Smoothing Traffic Flow, Transportation Science, 2025, with Y Wang, J Jin, S Mao, Y Xu, R Su.

2. EV Charging Scheduling Under Limited Charging Constraints by An Improve Proximal Policy Optimization Algorithm, Energy, 2025, with M Lin, M Zhong, J Meng, J Wu.

3. Energy-efficient UAV routing problem based on approximate cellular decomposition for geohazards monitoring, Computers & Operations Research, 2025, with Z Han, C Fang, J Xu.

4. Risk-constrained linear quadratic control with one-step delayed sharing information pattern, Automatica, 2025, with Y Wang, K Zhang, Y Xu, R Su.

5. Formation tracking of mobile robots using only constrained and faulty visual feedback, IEEE Transactions on Vehicular Technology, 2025, with R Guan, X Liu, Y Wang.

6. Instantaneous energy consumption estimation for electric buses with a multi-model fusion method, IEEE Transactions on Intelligent Transportation Systems, 2025, with M Lin, S Chen, J Meng, J Wu.

7. Reliability analysis of interval-valued multi-state sliding window system for sequential tasks, Computers & Industrial Engineering, 2024, with C Fang, P Si, Y Wang, M Lin.

8. BCMS⁴W-ST: On the bi-directional circular multi-state system with spatiotemporal sliding window for sequential tasks, Reliability Engineering & System Safety, 2023, with M Lin, P Si, Y Wang, B Fan.

9. Routing UAVs in landslides monitoring: a neural network heuristic for team orienteering with mandatory visits, Transportation Research Part E, 2023, with C Fang, Z Han, E Zio.

10. Multiperiod unmanned aerial vehicles path planning with dynamic emergency priorities for geohazards monitoring, IEEE Transactions on Industrial Informatics, 2022, with C Fang, T Liu.