This paper presents a new approach to the voxelization of threedimensional synthetic objects. It makes use of existing graphics hardware on standard graphics workstations, such as the polygon-based geometry engine and frame buffer operations, and is able to generate the voxel-based volume representations of general curves, surfaces, or solid objects efficiently. On a workstation with hardwaresupported texture mapping, the voxelization result may also be written directly to the three-dimensional texture memory as a three-dimensional texture object, and interactively rendered by the three-dimensional texture-mapping hardware. This approach provides a practical solution to the interactive manipulations of geometric objects within a volume graphics framework.

This research uses machine learning-based AI models to predict admissions decisions at a large urban research university. Admissions data spanning five years was used to create an AI model to determine whether a given student would be directly admitted into the School of Science under various scenarios. During this time, submission of standardized test scores as part of a student's application became optional which led to interesting questions about the impact of standardized test scores on admission decisions. We first developed AI models and analyzed these models to understand which variables are important in admissions decisions, and how the decision to exclude test scores affects the demographics of the students who are admitted. We then evaluated the predictive models to detect and analyze biases these models may carry with respect to three variables chosen to represent sensitive populations: gender, race, and whether a student was the first in his family to attend college.

In this paper, we present a new approach for collision detection of volumetric objects. Good speeds and accuracy can be achieved using existing graphics hardware. The algorithm is simple to implement and, unlike other collision detection mechanisms, requires very little extra memory and preprocessing time. Using a combination of the two-dimensional scanline process and three-dimensional texture mapping technique, a number of polygonal slices can be computed for all volume objects in a scene. For each slice, the objects are checked for collisions using the framebuffer and logical color coding operations. Experiments are provided and analyzed.