Project: Numerical Implementation of An Equivalent Two Species Model
Client: Dr. Thomas I. Seidman, Department of Mathematics and Statistics, UMBC
Consultants: Dr. Gobbert and Guan Wang
Description: The numerical solution of a given three species model with fast reaction is challenging due to the need for high resolution in the areas of fast reactions. In the asymptotic limit, an equivalent two species model was derived by the client. We implemented this model in COMSOL Multiphysics and demonstrated the advantage in efficiency.
Project: R Code Optimization for Ecological Statistics Algorithm
Client: Dr. Matthew Baker, Department of Geography and Environmental Systems, UMBC
Consultants: Dr. Gobbert, Dr. Neerchal, Andrew Raim, and Xiaoyu Dong
Description: Analyzed the run-time performance of client’s R code and identified several time-intensive portions to optimize. We were able to reduce the program’s overall execution time to 14% of its original time, using a provided dataset as our benchmark.
Project: Statistical Analysis of Consumption Rates of Larval Manduca Sexta
Client: Will Gretes, Ph.D. student, Department of Biological Sciences, UMBC
Consultants: Dr. Neerchal and Justin Newcomer
Description: Helped client analyze data from two different types of experiments using a generalized linear regression model framework with factors for time, treatment effect, and time by treatment interaction.
Also Consulted With
Li Zhu, Physics Ph.D. student (Dr. Gobbert and Guan Wang)
Alison Ebaugh, Mathematics undergraduate student, and Dr. Jonathan Bell, Mathematics and Statistics faculty (Dr. Gobbert and Guan Wang)