This is a python implementation of a naive bayes classifier. A bayes classifier is used to probabilistically classify items based on the presence or absence of features.
This is a series of papers on a computational method for task allocation and coordination in a distributed design environment. I worked with Jay Johnson and Hao Wu at GT over the course of a semester and a half on this work, and getting the final one published. We built off of the Pahl and Beitz Method updated for a distributed design environment and added a computational method for task allocation.
This is a project I completed at GT, we retrofitted a bicycle with actuators to shift through the gears and sensors to measure speed, pedal rate, and angle of inclination. A controller was then used to shift accordingly.