Spring 2024 Capstone Projects

BRL-CAD's existing ray tracer is not up to industry standards. Our project was aimed at researching an existing high performance ray tracer and implementing it in place of BRL-CAD's current ray tracer to improve the user's workflow. Research Area: Graphics, Visualization and Computational Fabrication.

Chatbot for American Airlines which offers a unified resource for information to increase customers' ease of navigation. The three main personas for this app included first-time travelers, non-native speakers, and assistance-dependents. Research areas: Human-Computer Interaction, Databases, Data Mining, Information Retrieval Systems.

Machine learning can address transportation disparities in rural communities through a relatively new autonomous driving approach known as imitation learning. This method involves training a model on collected human driving behaviors, enabling cars to navigate autonomously. Research Area: AI, ML, NLP

Boom Boards uses interactivity of a smartphone app with catchy voice narration to engage players in cornhole. It offers a fun new way for experienced and new players to interact with cornhole, elevating the normal game experience by adding real time narration and score boards. Research area: Embedded Systems.

Olivia-Navigator is a public health record database. It contains the patient's medical history, diagnoses, medications, treatment plans, immunization dates, allergies, radiology images, and laboratory test results. The user can log in and view past submissions of forms along with submitting new ones. Research Areas: Software and Software Engineering; Health.

Team DetectaChem was tasked with augmenting an existing chemical reaction detection algorithm. The goal was to reduce false negatives and maintain or reduce false positives. Our solution approach included image processing and machine learning to discover avenues DetectaChem could further explore to improve detection accuracy. Research areas: Computer Vision, AI, ML, NLP.

As quantum computing becomes more viable, we need a way to easily implement quantum-safe cryptography into everyday applications. In doing so, we need to also know how this will affect our network performance. Research area: Cybersecurity.