Research

Carnegie Mellon CyLab Security and Privacy Institute

Pittsburgh, PA | April 2020 – January 2021

  • Performed research that concluded misinformation spread is increasing over time.
  • Developed machine learning models with 98% accuracy to classify articles spreading misinformation by using differential analysis and natural language processing.
  • Classified 1,500+ reactions to misinformation with 92% accuracy by developing various machine learning models.

Carnegie Mellon BioRobotics Lab

Pittsburgh, PA | August – November 2017

  • Enhanced reinforcement learning by 15% on DaVinci robot for tumor recognition by adding vision processing to cutting-edge tumor detection algorithms.
  • Built autonomous three-space object tracking using OpenCV and Python.

Enhancing Exploration of Black Box Classifiers

Louisville, KY | May – August 2017

  • Developed algorithm to attack black box classifier with minimum data for proof of concept.
  • Used current machine learning techniques to develop pseudorandom data as well as model an attacker with no prior knowledge for classifier.

Asymmetric Elliptic Curve Algorithm for Iris Recognition

Louisville, KY | July 2014 – August 2015

  • Created iris recognition system using one way hash function to improve security.
  • Published in the IEEE Xplore Digital Library: https;//doi.org/10.1109/GOCICT.2015.19
  • INTEL International Science and Engineering Fair Finalist

University of Louisville Department of Mechanical Engineering

Louisville, KY | September 2013 – July 2015

  • Wrote MATLAB code to analyze to prove a theoretical air conditioning system as practical.
  • Paper published in IEEE Xplore Digital Library: https://doi.org/10.18297/etd/1221

Winning the War Against Hackers – A Hybrid Asymmetric Cryptography Algorithm

Louisville, KY | July 2013 – August 2014

  • Created algorithm that is faster and more secure than current security standards.
  • INTEL International Science and Engineering Fair Finalist