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Shlomo Havlin 教授北航荣誉教授授予仪式暨第二届复杂系统可靠性学术报告会

Shlomo Havlin 教授北航荣誉教授授予仪式暨第二届复杂系统可靠性学术报告会

  • 2016年 06月 06日 举办于 北京航空航天大学新主楼第八会议室

活动简介

         以色列巴伊兰大学Shlomo Havlin教授自2011年9月第一次访问北京航空航天大学以来,通过多种合作方式,为可靠性与系统工程学院复杂系统可靠性研究方向的确立和建设做出了重要贡献。在Shlomo Havlin教授的指导和帮助下,复杂系统可靠性研究组合作发表了6篇SCI一区文章,其中Percolation transition in dynamical traffic network with evolving critical bottlenecks被美国国家科学院院刊(PNAS)刊发(IF为9.674)、Spatio-temporal propagation of cascading overload failures in spatially embedded networks被Nature Communications刊发(IF为11.47),总影响因子超过40。 Shlomo Havlin教授还曾于2014年和2015年两次被聘为外专局高端外国专家,也受邀参加了多次学院组织的国际会议和论坛,包括2012年复杂系统可靠性国际会议、2015年国际可靠性系统工程大会等,并做大会报告,扩大了学院的国际影响力。因此,Shlomo Havlin教授被聘为北京航空航天大学荣誉教授。

         借此机会,为了继续深入展开国际学术合作,促进复杂系统可靠性领域的国际交流,现定于2016年6月6日8:30开始在北航新主楼第八会议室举办“Shlomo Havlin教授北京航空航天大学荣誉教授授予仪式暨第二届复杂系统可靠性学术报告会”,特邀请复杂系统领域的著名专家和学者进行学术交流。具体内容如下:

日程安排

活动时间:
2016年6月6日 

活动地点:
北航新主楼第八会议室

08:30 – 08:50 
李大庆 副教授(北京航空航天大学)
开幕式及介绍双方合作成果

08:50 – 09:20 
黄海军 副校长(北京航空航天大学)
致辞

09:20 – 09:30
王自力 院长(北京航空航天大学 可靠性与系统工程学院)
授予仪式

09:30 – 09:40 
合影

09:40 – 10:20 
Shlomo Havlin 教授(以色列巴伊兰大学 物理系)
学术报告1: Cascading failures and recovery in networks of networks

10:20-10:30
茶歇

10:30 – 11:10 
狄增如 教授、院长(北京师范大学 系统科学学院)
学术报告2: Which publication is your representative work?

11:10 – 11:50 
周海军 研究员(中国科学院 理论物理研究所)
学术报告3: Cycles, feedback sets, and network optimal attack

专家介绍

Shlomo Havlin

         以色列巴伊兰大学物理系教授,是一名在网络科学、渗流理论和统计物理等领域国际领先的科学家。他在一些国际顶级的科学期刊,如Nature、Science、美国国家科学院院刊(PNAS)、物理评论快报(Phys. Rev. Lett.)等上发表了700余篇文章(H因子高达111);主编和参与编著了12本国际专著。


报告简介:Network science have been focused on the properties of a single isolated network that does not interact or depends on other networks. In reality, many real-networks, such as power grids, transportation and communication infrastructures interact and depend on other networks. I will present a framework for studying the vulnerability and the recovery of networks of interdependent networks. In interdependent networks, when nodes in one network fail, they cause dependent nodes in other networks to also fail. This is also the case when some nodes like certain locations play a role in two networks --multiplex. This may happen recursively and can lead to a cascade of failures and to a sudden fragmentation of the system. I will present analytical solutions for the critical threshold and the giant component of a network of n interdependent networks. I will show, that the general theory has many novel features that are not present in the classical network theory. When recovery of components is possible global spontaneous recovery of the networks and hysteresis phenomena occur and the theory suggests an optimal repairing strategy of system of systems. I will also show that interdependent networks embedded in space are significantly more vulnerable compared to non embedded networks. In particular, small localized attacks may lead to cascading failures and catastrophic consequences. Thus, analyzing data of real network of networks is highly required to understand the system vulnerability.

狄增如

         北京师范大学系统科学学院教授、院长,北京师范大学复杂性研究中心主任。主要研究领域为非平衡系统的自组织理论、复杂网络及其在社会经济和生物复杂系统中的应用等。现任国务院学位委员会系统科学学科评议组召集人、中国系统工程学会副理事长、中国“双法”学会复杂系统研究会常务理事。


报告简介:As much effort has been made to accelerate the publication of research results, nowadays the number of papers per scientist is much larger than before. In this context, how to identify the representative work for individual researcher is an important yet uneasy problem. Addressing it will help policy makers better evaluate the achievement and potential of researchers. So far, the representative work of a researcher is usually selected as his/her most highly cited paper or the paper published in top journals. Here, we consider the representative work of a scientist as an important paper in his/her area of expertise. Accordingly, we propose a self-avoiding preferential diffusion process to generate personalized ranking of papers for each scientist and identify their representative works. The citation data from American Physical Society (APS) is used to validate our method. We find that the self-avoiding preferential diffusion method can rank the Nobel prize winning paper in each Nobel laureate’s personal ranking list higher than the citation count and PageRank methods, indicating the effectiveness of our method. Moreover, the robustness analysis shows that our method can highly rank the representative papers of scientists even partial citation data are available or spurious behaviors exist. The method is finally applied to revealing the research patterns (i.e. consistency-oriented or diversity-oriented) of different scientists, institutes and countries.

周海军

         中国科学院理论物理研究所研究员、国家杰出青年基金获得者、中国科学院“百人计划”学者。撰写专著《自旋玻璃与消息传递》,在Nature Communications,PRL,PRE,Scientific Reports等国际著名期刊发表学术论文60余篇。现担任JSTAT、EPJB、CTP等学术期刊编辑。


报告简介:One of the basic structural reasons that complex networks are "complex" is that they contain an abundant number of (long and short) cycles. Cycles lead to feedbacks and complex dynamical processes. The task of identifying the nodes most important for feedback interactions is closely related to the concept of minimum feedback vertex set (FVS). In this presentation I introduce a spin-glass approach to the minimum FVS problem and offer a highly efficient algorithm for solving it. As an important application, I show that this algorithm also solves the optimal network attack problem perfectly. Our theory and algorithm shall be useful for understanding and improving network resilience.

北京航空航天大学
关键基础设施可靠性与安全性研究中心
2016年6月2日


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