Spatial-temporal kriging and Navier-Stokes equations: a prominent example of engineering analytics
Date: Mon, September 10, 2018
Time: 1:00pm
Location: James Wu, Professor at Georgia Institute of Technology
Speaker: Holmes Hall 244
Abstract:
Most "learning" in big data is driven by the data alone. Some people may believe this is sufficient because of the sheer data size. If the physical world is involved, this approach is often insufficient. In this talk I will give a recent study to illustrate how physics and data are used jointly to learn about the "truth" of the physical world. It also serves as an example of engineering analytics, which in itself has many forms and meanings. In an attempt to understand the turbulance behavior of an injector, a new design methodology is needed which combines engineering physics, computer simulations and statistical modeling. There are two key challenges: the simulation of high-fidelity spatial-temporal modeling of this data requires physical insights and statistical tools. A surrogate model is presented for efficient flow prediction in injectors with varying geometries, devices commonly used in many engineering applications, which allows for quick emulation in practical turnaround times, and also reveals interesting flow physics which can guide further investigations.
Bio:
C.F. Jeff Wu is Professor and Coca Cola Chair in Engineering Statistics at the School of Industrial and Systems Engineering, Georgia Institute of Technology. He was the first academic statistician elected to the National Academy of Engineering (2004); also a Member (Academician) of Academia Sinica (2000). A Fellow of American Society for Quality, Institute of Mathematical Statistics, of INFORMS, and American Statistical Association. He received the COPSS (Committee of Presidents of Statistical Societies) Presidents' Award in 1987, the COPSS Fisher Lecture Award in 2011, the Deming Lecture Award in 2012, the inaugural Akaike Memorial Lecture Award in 2016, the George Box Medal from ENBIS in 2017, and numerous other awards and honors. He has published more than 175 research articles and supervised 48 Ph.D.'s. He has published two books "Experiments: Planning, Analysis, and Parameter Design Optimization" (with Hamada) and "A Modern Theory of Factorial Designs" (with Mukerjee).