2016 IEEE International Workshop on Complex Systems and Networks; Atlanta, Georgia; October 13-14, 2016

该奖项将部分支持2016年10月13日至14日在格鲁吉亚亚特兰大举行的2016年IEEE复杂系统和网络国际研讨会（IWCSN-2016）。这是复杂系统和网络新兴领域研究人员的年度研讨会，包括生物医学和机械系统，机器人和控制沿着生物和工程系统中的其他应用。申请的资金将支持从广泛的研究人员社区以及学生/博士后中选出的受邀演讲者的参与。该研讨会涵盖了广泛的主题，在分析技术和数学工具方面具有潜在的共性，这是工程和应用数学界感兴趣的。讲习班的目的是为与会者提供机会，了解各种相关但不同领域的最新研究。研究员及工作坊主办机构正计划举办导师讲座及深入的技术讲座，介绍有关范畴的最新研究成果及进行中的项目。研讨会的主题包括但不限于复杂网络，网络控制系统，多智能体系统和网络同步现象。这些主题在通信网络，电网，电子电路，纳米材料，生物医学系统，生物网络，神经网络和疾病传播中找到应用。该研讨会为互动和跨学科合作提供了一个适当的框架，这是复杂系统的不同领域科学进步的关键。

This award will partially support the 2016 IEEE International Workshop on Complex Systems and Networks (IWCSN-2016) in Atlanta, Georgia, October 13-14, 2016. This is an annual workshop for researchers in the emerging area of complex systems and networks, including biomedical and mechanical systems, robotics and control along with other applications in biological and engineering systems. The requested funds will support the participation of invited speakers that are selected from a broad community of researchers, as well as students/postdocs. The workshop covers a broad set of topics with underlying commonalities in terms of analysis techniques and mathematical tools, which are of interest to the engineering and applied mathematics communities. The objectives of the workshop are to provide opportunities for participants to learn about state-of-the-art research on various related yet disparate fields. The PIs and workshop organizers are planning tutorial talks and in-depth technical talks describing the latest research results and ongoing projects in related areas. Topics of interest of the workshop include, but are not limited to, complex networks, networked control systems, multi-agent systems, and synchronization phenomena in networks. These topics find applications in communication networks, power grids, electronic circuits, nano-material, biomedical systems, biological networks, neural networks, and disease transmission. The workshop provides a proper framework for interaction and interdisciplinary collaboration, which is key to scientific advancement in the diverse field of complex systems.