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2020 Spring

Semester Short

Athlete Talk

AthleteTalk is an application that aims to empower athletes by providing energizing behavioral health content as well as a space to process and discuss what they learn together. AthleteTalk includes text and picture-based multi-day plans that include questions intended to help athletes critically and intentionally think through their wellness enhancement efforts. AthleteTalk also includes wellness videos from some of the premier sports behavioral health specialists in some truly unique areas such as trauma, mindfulness, and diaphragmatic breathing.


The ability to create “smart” molecular systems enables important applications in contexts where traditional electronic microcontrollers cannot be used. StableGen is an online tool for computing stable configurations of Thermodynamic Binding Networks. This computer-aided design tool can predict and simulate molecular system behavior at thermodynamic equilibrium, which can be used for research in medicine and synthetic biology. The ultimate goal for our tool is to enable researchers to design next-generation complex molecular systems ranging from logic gates to neural networks.

Data De-Identification

In today’s world, there is an abundance of personally identifiable data, and companies need to take the right steps in order to protect this data. Data de-identification is the process of manipulating the data in order to prevent an individual’s identity from being discerned. Nokia has tasked our team with creating a testing framework that can test different de-identification algorithms to attain the best algorithm for telecommunication data.

Self-Monitoring Stress Device

College students regularly experience stress, but it is difficult for them to track and manage it. High stress levels have a negative impact on emotional and mental health, resulting in frustration, feelings of being overwhelmed, and difficulty sleeping. Our team hopes to provide a solution to this increasing dilemma of stress management in college students with our design project: a self-monitoring stress detection wearable.

RGK CONNECT Matching Algorithm Web Application

The LBJ School of Public Affairs CONNECT program is a program that matches projects hosted by select organizations within the UT community with UT graduate students looking for applied and practical experience. Currently, the matching process involves a tedious manual blind evaluation of students’ profiles and project descriptions. This matching process consumes a lot of time and effort from the CONNECT staff and isn’t scalable as the program grows. 

Frictionless Entry

Our project is based around the idea of frictionless entry, meaning all authentication should occur automatically with little to no action on the user’s part. Our solution to this revolves around the idea of multi factor authentication - that is using multiple levels of security to authenticate the user. Our solution is divided into 3 subsystems - The Smartphone, Cloud DB, and Gate. These subsystems work together to provide secure, yet frictionless entry. As a big picture, the User’s journey is as follows. The user will have a smartphone and a wristband.

Wearable Sensor to Detect an Adrenaline Rush

Nokia Sentry is a wearable system that detects stress using a heart-rate sensor, an Android smartphone, and cloud computing. Sentry notifies authorities and activates body cameras when a wearer, such as a police officer, encounters stress. The current rendition of Sentry suffers from two deficiencies: it relies solely on heart-rate measurements, and it only detects stress using a broad stress threshold that does not account for an individual wearer’s unique stress response.


The stability of the power grid is dependent on the predictable and coordinated interactions of its two major constituents: the generators that provide power, and the loads that consume it. Generators must produce the exact amount of power that the loads need; however, the number of loads and the amount of power they consume is constantly in flux.

Using Renewable Energy to Supplement Power to a Laptop

Our project requires us to get energy from a renewable resource, and use it to supplement power to a laptop at a constant 19.5V/45W output. We decided to use solar energy because it was the most accessible and provided energy consistently. Our solution focuses on taking varying levels of energy and converting it to a constant output of energy. We do this by charging up a lithium-ion battery and then discharging the battery into the laptop. Using the battery as a mediator between the solar panel and laptop ensures that we get a stable power output.

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