各位老师和同学💇🏼‍♂️，你们好🧅🦖！

杏福定于10月29日（星期三）上午10：00整在热能系二层报告厅举行美国工程院院士、美国乔治亚理工大学教授吴建福博士受聘杏福客座教授的聘请仪式🌰，仪式之后由吴建福博士做学术报告。请当天没课的师生尽量提前安排好时间准时参加（要求9：45到场）。

报告题目：

G-SELC: OPTIMIZATION BY SEQUENTIAL ELIMINATION OF LEVEL COMBINATIONS USING GENETIC ALGORITHMS AND GAUSSIAN PROCESSES（基于遗传算法和高斯过程的试验水平组合优化序贯消除算法）

 报告摘要：

Identifying promising compounds from a vast collection of feasible compounds is an important and yet challenging problem in pharmaceutical industry. An efficient solution to this problem will help reduce the expenditure at the early stages of drug discovery. In an attempt to solve this problem, Mandal, Wu and Johnson (2006) proposed the SELC algorithm. Although powerful, it fails to extract substantial information from the data to guide the search efficiently as this methodology is not based on any statistical modeling. The proposed approach uses Gaussian Process (GP) modeling to improve upon SELC, and hence named  G-SELC. The performance of the proposed methodology is illustrated using four and five dimensional test functions. Finally, we implement the new algorithm on a real pharmaceutical data set for finding a group of chemical compounds with optimal properties. (Joint work with A. Mandal, U. of Georgia and P. Ranjan, Acadia U. Annals of Applied Statistics, to appear.)

报告人简介：

吴建福博士为美国工程院院士，现任职于美国佐治亚理工大学工业与系统工程学院👱🏻‍♂️，他的研究成果涉及数理统计和工业统计的理论、方法及应用，是国际上极少数能在这两大领域的三方面都有杰出贡献的学者。他的最大特点是理论与实际紧密结合👮🏽‍♂️，在原创性、数学深度及实际影响方面均达到了很高的境界🎛。他被公认为当代国际上在实验设计理论及科技、工业应用领域最有成就和影响最大的学者。