Sponsoring a project allows you to contribute to educating the next generation of computer scientists by offering them a real-world industry experience.

• Get to know and evaluate students with specific interest in your company and industry.
• Gain brand awareness with top-tier computer science students.
• Contribute to the local community by providing mentorship to educate the next generation of computer scientists who will shape Utah’s future.
• Give back to U Engineering.

The cost to sponsor a Clinical Capstone Project is $15,000 for a team of 3 students, and $20,000 for a team of 4 students. These funds support a $2,000 scholarship for each team member, administrative costs to run the program, software and other resources that the project will require, and funding for Demo Day expenses.

The sponsoring organization will own any intellectual property generated by the project.

If the sponsoring company would like a non-disclosure agreement in place before the project begins, we can arrange that.

Teams generally consist of 4 students. In the case where an additional student is added to the project, an additional $2,000 will be required for scholarship funds.

The Capstone faculty work to place top students who indicate interest in the project idea onto the clinical teams.

Contact Sheri Carp in the Kahlert School of Computing at sheri@cs.utah.edu.

Genetics researchers seek to determine how genes, the basic units of biological inheritance, influence the observable characteristics of organisms. The work done by geneticists includes cross-breeding (“crossing”) different strains of a species to obtain a target genetic profile. The current state-of-practice is to draw these cross trees and calculate offspring probabilities by hand, which can be error prone and time consuming. Our multi-platform desktop application allows researchers of the model organism C. Elegans to design, save, and share strain pedigrees that model the inheritance of relevant genes across generations according to statistical patterns. With this tool, researchers can streamline their experimental planning and data analysis, ultimately improving the efficiency and accuracy of their research.

All systems in a network are typically controlled via a centralized server. These servers will typically handle all connections and connect each caller to the person they intend to call. However, this approach has limitations in various high-stakes situations where you need to maintain communication without a single point of failure. To combat this, we have developed a distributed call management system that automatically meshes between users, without the need for a centralized server. This was achieved by creating, designing, and implementing a communication protocol for Linux and Windows platforms that uses multicast RTP to allow users to create and join calls on a network without requiring input from any centralized source.

Idaho National Laboratory (INL) has developed the All Hazards Analysis (AHA) framework in order to record information about the nation’s critical infrastructure and simulate the consequences of a disruption. The Spatial Enrichment Data Engine (SEDE) is a new and independent web service which will validate and assign accurate geospatial data to the infrastructure in INL’s AHA framework. We will provide non-spatial (e.g., address, zip code) and spatial information (latitude/longitude) by developing a forward and reverse geocoding application. We will also supply elevation data to INL to support flood simulations. Finally, we’ve developed a user interface to validate functionality and display geocoded results on a map.

Secret Keepers is a mobile journal application developed for both iOS and Android devices with the capabilities of capturing audio. Secret Keepers uses React Native for mobile app development, Google’s application programming interface (API) for emotion tracking, audio to text transcription, and data storage. There are two main purposes for Secret Keepers. The first purpose is to gather natural one-sided conversations from a multitude of different ages and ethnic groups. The information gathered will assist CaptionCall, a company who provides technology to people who are hard of hearing, with their speech-to-text predictive model. The second purpose is to be a fun and easy application that encourages people to speak to their devices.

Sheri Carp
Associate Director of Business Affairs
Kahlert School of Computing
University of Utah
sheri@cs.utah.edu

Professor James de St. Germain
germain@cs.utah.edu