39c27c0412c24410VgnVCM100000c2b1d38dRCRDapproved/UMICH/stats/Home/News & Events/Statistics SeminarMSSISS 2014 Conference: Jeff Wu, From Real World Problems to Esoteric Research: Some Examples###@###(Fri, 21 Mar 2014)MSSISS 2014 Conference: Jeff Wu, From Real World Problems to Esoteric Research: Some Examples###@###(Fri, 21 Mar 2014)4th Floor Rackham Graduate Buildingstats139543200000013954320000004:00 PM<p><span style=" background: white; font-family: 'Times New Roman'; font-size: medium; line-height: 115%; color: black;">Young (and some not-so-young) researchers often wonder how to extract good research ideas&nbsp;and develop useful methodologies from solving real world problems. The path is rarely straightforward and its success depends on the circumstances, tenacity and luck. I will use three examples to illustrate&nbsp;how I trod the path. The first involved an attempt to find optimal growth conditions for nano structures&nbsp;(i.e., wires, belts, saws). It led to the development of a new method “sequential minimum energy&nbsp;design (smed)”, which exploits an analogy to potential energy of charged particles. After a few years of&nbsp;frustrated efforts and relentless pursuit, we realized that smed is more suitable for generating samples&nbsp;adaptively to mimic an arbitrary distribution rather than for optimization. The main objective of the&nbsp;second example was to build an efficient statistical emulator based on finite element simulation results&nbsp;with two mesh densities in cast foundry operations. It eventually led to the development of a class&nbsp;of nonstationary Gaussian process models that can be used to connect simulation data of different&nbsp;precisions and speeds. The third example hails from cell biology. In a T cell adhesion experiment at&nbsp;Georgia Tech, the biologist was not satisfied with the use of graphical method to understand the&nbsp;serial dependency of cell adhesion over repeated trials. It led to the development of hidden Markov&nbsp;models with new features that reflect the nature of the experiment. In each example, the developed&nbsp;methodology has broader applications beyond the original problem. I will explain the thought process in&nbsp;each example but cannot promise any general observation.</span></p> <p>Please visit <a href="http://sitemaker.umich.edu/mssiss/home">MSSISS 2014</a> for more information on this event.</p>Nlorieannbzuniga139523704524309c27c0412c24410VgnVCM100000c2b1d38d____once11112newnewJeff Wu, PhD., Professor and Coca-Cola Chair in Engineering Statistics, Georgia Institute of Technologyhttp://www2.isye.gatech.edu/~jeffwu/d302e54a359d4410VgnVCM100000c2b1d38d____09c27c0412c24410VgnVCM100000c2b1d38d____http://sitemaker.umich.edu/mssiss/homeMSSISS 2014anchorNA