Pittsburgh, PA | May 2020 – July 2021
- Performed research that concluded misinformation spread is increasing over time and developed insight on how to identify misinformation which was included in the Ph. D. thesis of mentor Sruti Bhagavatula.
- Developed machine learning models in Python using scikit-learn with 98% accuracy to classify articles spreading misinformation by using differential analysis and natural language processing.
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
