At the conclusions of the Q&A sessions, participants submit feedback and recommend projects for outstanding project awards. This year, 15 projects were nominated (in alpha order) and three were selected for an award (identified as 1st, 2nd, 3rd): APL.gg Backpacker Planning Team 1 BGA Hearts Cancellation Data Parser Decision Support App Team 1 Flero++ Web […]
Another Great Year!
Another great year of projects. We had over 40 project teams present at Expo on Thursday, 5/4/23. Awards for the Outstanding Project were disseminated at the Alumni & Friends Conference on Friday, 5/5/23.
This Year’s Poster Quote
Creativity is the secret sauce to science, technology, engineering, and math. Ainissa Ramirez, Science Evangelist
Patient Driven Medication Synchronization
CLIENT Cardinal Health VISION Cardinal Health asked us to look at Patient Led Medication Synchronization. They wanted to see how we would approach the problem and what ideas we would generate. Patient-led synchronization is the idea that instead of pharmacists synchronizing their patients’ medications, patients would with the help of an algorithm. Pharmacists would then […]
NoCode Site II
Deliver a no-code platform.
Course Planner Ext. Team 2
Prepare an online version of the CSE department’s course planning spreadsheet
Ranching App
CLIENT Sage Dierks, JLBKS Ranch VISION Create an easy-to-use, informative inventory management application for ranch employees to use to view, record, and track the history of inventory items. MISSION The project mission was to create easy to use and understand cross-platform mobile app for ranch employees to record data offline that is later uploaded once […]
Decision Support App Team 1
Build an application that forms optimal groups based on the specification of the course instructor.
AI-FPS video game defense Team 2
Minimize cheating in an FPS game by creating anti-cheating product using hijacking to generate fake objects and DeepFool to hide the detected object.
Data Parser
CLIENT Dr. Philippe Giabbanelli, Associate ProfessorComputer Science & Software Engineering VISION To simplify the comprehension and summarization of complex public health information by automating the identification of causal map statements using advanced natural language processing and machine learning techniques. MISSION Our mission is to provide a time-saving and labor-efficient solution to researchers by automating the […]