• Reverse Turing Test (RTT): The “Turing Test (TT)” is a test to prove a machine’s ability to exhibit human-like behavior or intelligence. When such a test is administered by another machine, the problem is known as RTT, as opposed to TT. The goal of RTT is to see if a machine (or a machine learning model) can detect whether a given artifact is generated by a human or machine. I specifically focus on distinguishing text-generators. Also, see description for further understanding of RTT.

  • Autonomy Technology Research Center, Air Force Research Lab: Used deep learning and computer vision techniques to perform experiments on satellite data. The goal of the project was to assess the robustness of the image classification model by using a nuanced black-box adversarial technique to attack the model. This project is classified under the Distribution Statement C which prevents me from giving any further details regarding the project.

  • Numerical Simulation of Vibrations of Mechanical Structures: This project required me to use Matlab, Matrix analysis and partial differential equations to model a 3D structure and to solve for the mass, stiffness and damping matrices. These were important because the goal of the research was to mitigate the effects of earthquakes in earthquake-prone areas by finding the appropriate damping constant. When the damping constant is applied to structures, it will allow the structures to withstand the effects of earthquakes. This resulted in my senior thesis

  • Hackathons:

    • Chrome extension: Procastination Avoidance tool that times out and gives you 3 arithmetic math questions to solve after an hour on Facebook. It is called ProcrastinationStation. You can test it out here.
    • Shiny project: Data Visualization tool