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王璞

个人简介

王璞,男,博士,教授,博士生导师。主要从事交通大数据、复杂网络、智能交通等领域的研究,在 Science、Nature Physics、Nature Communications等国际知名期刊发表论文20余篇。NSF、BBC、NBC、MIT News、Scientific American、Science Daily 等国际著名媒体多次报道研究成果。

 

教育经历:

2005/08 - 2010/05,美国圣母大学,物理,博士

2001/09 - 2005/07,中国科学技术大学,物理,学士

 

工作经历:

2012/01 - 至今,中南大学,交通运输工程学院,教授

2010/05-2011/12,美国麻省理工学院,土木与环境工程系,博士后

2007/09-2010/05,美国东北大学,复杂网络研究中心,助研

2007/01-2007/08,美国圣母大学,复杂网络研究中心,助研

2005/08-2006/12,美国圣母大学,物理系,助教

 

科研项目:

1. 城市交通大数据的协同计算,中南大学创新驱动计划项目 (2016CSX014),2016-2017,主持

2. 湖湘青年科技创新人才,湖南省科技计划项目 (2015RS4011),2015-2017,主持

3. 基于复杂网络理论的城市多层交通网络建模、分析与优化,国家自然科学基金面上项目 (61473320),2015-2018,主持

4. 基于手机数据的城市道路车源预测理论研究,国家自然科学基金青年项目 (51208520),2013-2015,主持

5. 基于手机数据的交通需求预测理论研究,霍英东青年教师基金基础研究课题 (141075),2014-2017,主持

6. “升华学者特聘教授”奖励计划,中南大学985平台建设,2011-2016,主持

 

学术兼职:

国际权威SCI期刊 IEEE Trasactions on Intelligent Transportation Systems 副主编 (2016-)

IEEE 智能交通系统学会-社会交通系统技术委员会 共同主席 (2015-)

中国人工智能学会智能交通专委会委员 (2015-)

中南大学青年科协副主席 (2013.6-2017.6)

国际复杂网络会议 (NetSci 2013) 分会场主席 (2013.6)

IEEE智能交通会议 (ITSC 2015) 分会场主席 (2015.9)

第一届复杂科学国际会议 (COMPLEX’ 2009) 技术委员会委员 (2009.2)

 

荣誉获奖:

教育部霍英东青年教师奖 三等奖 (2016)

湖南省“湖湘青年英才”支持计划 (2015)

中南大学优秀共产党员 (2015)

教育部霍英东青年教师基金资助 (2014)

中南大学青年岗位能手 (2013)

中南大学“升华学者”特聘教授奖励计划 (2012)

第十二届全国大学生交通科技大赛 二等奖 指导老师 (2017)

第十一届全国大学生交通科技大赛 一等奖 指导老师 (2016)

 

毕业生去向:

徐仲之(17硕)  香港城市大学 攻读博士学位

龚航(17硕)  华为技术公司  大数据开发工程师

贺琨(16硕)  华为技术公司  算法工程师

曲迎春(16硕)  青岛海信网络科技股份有限公司  软件开发工程师

孙黎(16硕)  深圳北斗应用技术研究院  产品部部长

王俊杰(15硕)  中土集团福州勘察设计研究院有限公司  助理工程师

 

审稿专家:

Nature Communications, IEEE Transactions on Intelligent Transportation Systems/Mobile Computing/Dependable and Secure Computing/Systems, Man and Cybernetics, Transportation Research Prat B/Part C/Part A, Scientific Reports, Journal of the Royal Society Interface, Journal of Advanced Transportation, Accident Analysis and Prevention, PLOS One, European Physics Letter,  Journal of Statistical Mechanics: Theory and Experiment, Physica A, Advances in Mechanical Engineering, Sustainability, Computer Physics Communications, IFAC Symposium on Control in Transportation Systems, International Conference on Intelligent Transportation Systems.
 

联系方式:wangpu@csu.edu.cn


学术成果
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JOURNAL ARTICLES (* Corresponding Author)
1. Big data for social transportation. X. Zheng, W. Chen, P. Wang, D. Shen, S. Chen, X. Wang, Q. Zhang and L. Yang, IEEE Transactions on Intelligent Transportation Systems, Doi 10.1109/TITS.2015.2480157, published online (2015).
2. Congestion avoidance routing based on large-scale social signals. K. He, Z. Xu, P. Wang*, L. Deng and L. Tu, IEEE Transactions on Intelligent Transportation Systems, Doi 10.1109/TITS.2015.2498186, published online (2015).
3. A hybrid routing model for mitigating congestion in networks. K. He, Z. Xu and P. Wang*, Physica A 431, 1-17 (2015).
4. Locating inefficient links in a large-scale transportation network, L. Sun, L. Liu, Z. Xu, Y. Jie, D. Wei and P. Wang*, Physica A 419, 537-545 (2015).
5. Predicting commuter flows in spatial networks using a radiation model based on temporal ranges, Y. Ren, M. Ercsey-Ravasz, P. Wang, M.C. González and Z. Toroczkai, Nature Communications 5, 5347 (2014).
6. The Loss of Efficiency Caused by Agents Uncoordinated Routing in Transport Networks, Z. Xu, L. Sun, J. Wang and P. Wang*, PLOS One 9(10), e111088 (2014).
7. Encapsulating Urban Traffic Rhythms into Road Networks, J. Wang, D. Wei, K. He, H. Gong and P. Wang*, Scientific Reports 4, 4141 (2014).
8. Development of Origin-Destination Matrices Using Mobile Phone Call Data. M.S. Iqbal, C.F. Choudhury, P. Wang and M.C. González, Trans. Res. Part C 40, 63-74 (2014).
9. Empirical study of long-range connections in a road network offers new ingredient for navigation optimization models. P. Wang, L. Liu, X. Li, G. Li and M.C. González, New Journal of Physics 16, 013012 (2014).
10. Transportation Engineering in the Big Data Era. P. Wang*, Z. Huang, H. Gong. Journal of University of Electronic Science and Technology of China 42(6), 806~816 (2013).
11. On the role of spatial dynamics and topology on network flows. S. Colak, C.M. Schneider, P. Wang and M.C. González, New Journal of Physics 15, 113037 (2013).
12. Vulnerability Analysis and Passenger Source Prediction in Urban Rail Transit Networks. J. Wang, Y. Li, J. Liu, K. He and P. Wang*, PLOS One 8, e80178 (2013).
13. Understanding the Spread of Malicious Mobile-Phone Programs and Their Damage Potential, P. Wang, M.C. González, R. Menezes, A.-L. Barabási, Int. J. Inf. Secur. 12, 383-392 (2013).
14. Understanding Road Usage Patterns in Urban Areas, P. Wang, T. Hunter, A.M. Bayen, K. Schechtner and M.C. González, Scientific Reports 2, 1001 (2012).
15. Enhancement of Scale-Free Network Attack Tolerance, Z. Qu, P. Wang, C. Song and Z. Qin, Chinese Physics B 19, 110504 (2010).
16. Modelling the Scaling Properties of Human Mobility, C. Song, T. Koren, P. Wang and A.-L. Barabási, Nature Physics 10, 818-823 (2010).
17. Understanding Spatial Connectivity of Individuals with Non Uniform Population Density, P. Wang and M.C. González, Phil. Trans. R. Soc. A 367, 3321-3329 (2009).
18. Understanding the Spreading Patterns of Mobile Phones Viruses, P. Wang, M.C. González, C.A. Hidalgo and A.-L. Barabási, Science 324, 1071-1076 (2009).
19. Uncovering Individual and Collective Human Dynamics from Mobile Phone Records, J. Candia, M.C. González, P. Wang, T. Schoenharl, G.R. Madey and A.-L. Barabási, Journal of Physics A: Mathematical and Theoretical 41, 224015 (2008).

CONFERENCE PAPER (* Corresponding Author)
1. Transportation Mode Split With Mobile Phone Data. Y. Qu, H. Gong and P. Wang*, IEEE 18th International Conference on Intelligent Transportation Systems (ITSC), 285-289, September (2015).
2. Congestion Avoidance Routing in Urban Rail Transit Networks. K. He, J. Wang, L. Deng and P. Wang*, IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), 200-205, October (2014).
3. Model and Algorithm of Optimizing Bus Transit Network Based On Line Segment Combination. G. Xu, F. Shi and P. Wang, CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems, 1514-1525, July (2014).
4. Enhancing the Scale-Free Network’s Attack Tolerance, Z. Qu, P. Wang and Z. Qin, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 5, 1823-1826, February (2009).
5. Enhanced Situational Awareness: Application of DDDAS Concepts to Emergency and Disaster Management, G.R. Madey, A.-L. Barabási, N.V. Chawla, M.C. González, D. Hachen, B. Lantz, A. Pawling, T. Schoenharl, G. Szabó, P. Wang and P. Yan, International Conference on Computational Science, serial Lecture Notes in Computer Science (LNCS 4487), 1090-1097, May (2007).