This summer, student Hengming Li has been working at NIST (National Institute of Standards and Technology) Boulder. He has spent his time conducting research as well as enjoying the beautiful views Colorado has to offer. Hengming is working on exploring different optimization methods for thermophysical data models. They are often multidimensional, non-linear and non-convex functions, which is challenging to optimize due to multiple local minima and saddle points in the functions. His work can be categorized into parameter optimization and model optimization. The goal of both is to reduce the mean squared errors between the model prediction and the experimental data. When Hengming is not working he has been enjoying lots of hiking and exploring around Boulder.
