报告题目：Dynamic modeling and optimization for evidence-based strategic planning and logistic implementations pandemic mitigations

报告人：吴建宏教授 （加拿大约克大学）
报告时间：2020年8月20日晚上 20：30-21:30

报告地点：复杂系统研究所（Zoom会议）

报告摘要：The Fields Institute, in partnership with other Canadian mathematical research institutes, federal health agencies and national research council, formed the Mathematical Modelling of COVID-19 Task Force to undertake research relating to COVID-19 pandemic. This Task Force has been working with modeling consulting panels of Ontario provincial and Canadian National governments to develop data and problem driven mathematical models and analyses to inform health decision making in real-time during a pandemic. I will present s series of mathematical platforms developed at the Laboratory for Industrial and Applied Mathematics group of this Task Force to evaluate the effectiveness of public health interventions; to design social distancing deescalation strategy; and to develop optimal implementation of stratified social distancing relaxation for reopening the economy in the current absence and anticipated availability of effective treatment and vaccine. I will show how the public health problems have been driving the choice and development of mathematical frameworks including deterministic, stochastic and network models, and dynamic optimization.

报告人简介：吴建宏教授，1983、1985、1987年分获湖南大学学士、硕士、博士学位，湖南大学第一位博士，现任加拿大应用数学首席教授(Canada Research Chair)，加拿大约克大学数学与统计学院终身教授，湖南大学客座教授，西安交通大学长江学者讲座教授。吴建宏教授在Kluwer、 AMS/Fields、Springer、Wiley等出版社出版专著8 部，编著14 部，发表学术论文350多篇。研究方向包括动力系统、神经网络和模式识别、生物数学和流行病学。吴建宏教授是传染病建模和大数据信息分析的联合主编， 同时是《J.Mathematical Biology》和《IEEE Transactions on the Pattern Analysis and Machine Intelligence》等期刊的编委会成员。获得了包括加拿大女王钻石禧功勋章（Queen's Diamond Jubilee medal）、York 大学终身杰出特聘教授（University Distinguished Research Professor）、终身Fields Institute Fellow、加拿大华人专业人士杰出成就奖、加拿大新先锋科技奖等在内的10余项学术成就奖。