Dr. Nathaniel Bowman
My primary areas of interest are scientific computing and high-performance computing. Scientific computing is a field at the intersection of mathematics, computer science, and statistics, and past projects I have worked on tend to have elements of all three fields. High-performance computing generally involves writing efficient parallel programs to make effective use of modern computing resources.
Member of Padnos College of Engineering and Computing Student Affairs Committee
Downhill Skiiing, Board/Card Games, Running
I primarily teach “Data Communications” (networking), “Operating Systems Concepts”, and “Computer Organization and Assembly Language”.
Patil, R., Bowman, N., & Wood, J. (2021, October). Analysis of different types of word representations and neural networks on sentiment classification tasks. In 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0473-0478). IEEE.
Research with Students
I am currently working with a student on the creation of a fast statistical emulator for NASA’s Mars Global Climate Model.
In general, projects with me tend to involve a mathematical and/or parallel computing theme.
An undergraduate student I am working with was recently awarded the Kindschi Fellowship to continue his research at GVSU.