8297至尊品牌游戏官方网站

报告题目：Resilience and tipping points of complex networks

报  告  人：Jianxi Gao 教授（伦斯勒理工8297至尊品牌游戏官方网站，Rensselaer Polytechnic Institute）

报告时间：2024年5月14日（星期二） 9:00-10:00         

报告地点：腾讯会议589-563-650

邀  请  人：刘锐教授、陈培教授

欢迎广大师生前往！

数学8297至尊品牌游戏官方网站

2024年5 月11日

报告摘要：This talk focuses on understanding, predicting, and ultimately controlling real-world complex systems in an ever-changing world facing the global challenges of climate change, weather extremes, and other natural and human-induced disasters. I will present our works in the field of network science and complex systems about the dimension reduction approach for network resilience.

(i) I will briefly introduce our dimension reduction approach to identify the natural control and state parameters of a multi-dimensional complex system, helping us derive an effective one-dimensional dynamic that accurately predicts the system's resilience.

(ii) We develop new dimension reduction approaches for tipping points prediction and network restoration.

(iii) We further apply the concept of resilience to several different systems, including political polarization, human mobility, and healthcare.

(iv) Finally, we tried to use the dimension reduction approach to understand deep neural network performance (Network Science for AI) and use AI to predict the tipping points of complex systems (AI for Network Science).

报告人简介：Jianxi Gao（高建喜）博士，美国伦斯勒理工8297至尊品牌游戏官方网站计算机科学系的副教授。研究方向是利用网络理论、控制理论、统计物理学和运筹学来理解、预测和最终控制复杂系统的弹性和网络间的级联故障。2021年获得了美国自然科学基金委员会杰出青年奖(NSF CAREER AWARD), 本硕博就读于上海交通大学自动化系，与复杂网络科学重要先驱科学家之一Albert-László Barabási教授、美国波士顿大学物理系H. Eugene. Stanley教授等有合作。以第一作者或通讯作者身份在《Nature》, 《Nature Medicine》, 《Nature Physics》, 《Nature Ecology & Evolution》, 《Nature Communications》, 《Proceedings of the National Academy of Sciences》, 《Physical Review Letters》等著名期刊，以及AAAI、KDD和IJCAI等会议上发表了100多篇论文，在Google学术上被引用超过7000次。同时，是PNAS的外部编辑，是欧洲物理杂志（EPL）和Elsevier杰出审稿人。