Notable Computer Science and Engineering Projects:
Detecting Privacy Violations in Children’s Apps Using HPCs
I conducted this research at NYU CCS with Professor Ramesh Karri, Professor Kanad Basu, and Dr. Ujjwal Gupta. There are two different versions of this paper (DAC conference and HS research).
Areas: Cybersecurity, Hardware Development, Machine Learning, Software Engineering, & App Development
Skills: Android NDK, Android SDK, BASH, Command Line Utilities, Python, Sci-kit Learn, Keras, Technical Writing, Engineering Research
Recognition: NYC Junior Science and Humanities Symposium Semifinals Third in Computer Science
A New Method for the Exploitation of Speech Recognition Systems
I determined how to hack a speech recognition system, specifically a neural network for phonetic classification, using adversarial machine learning. I developed an algorithm and tested it using 2 neural networks and the TIMIT data set. My research was conducted at NYU CCS under Professor Ramesh Karri and Zahra Ghodsi.
Areas: Cybersecurity, Deep Learning (Adversarial Machine Learning)
Skills: TensorFlow, SSH, NumPy, Jupyter Notebook, Python 2.7, Technical Writing, Engineering Research
Recognition: Intel ISEF Second Award in Systems Software, Shanghai STEM Cloud Award, National Security Agency Research Directorate Second “Science Security” Award, GoDaddy Data Award, Association for Computing Machinery Fourth Award, Intel ISEF Finalist, Naval Science Award, NYCSEF First Award in Computer Science, Sarah & Morris Wiesenthal Award, Poster Presentation at the Computation Cybersecurity in Compromised Environments Fall 2018 Workshop, Invited Talk at the NSA
I designed and developed a prototype conveyor belt system for a new product at Vengo Labs. The system consisted of an Arduino, a stepper motor driver chip, and a stepper motor in addition to other mechanical parts.
Areas: Mechanical Engineering, Hardware(Electrical) Engineering, Rapid Prototyping
Skills: EaglePCB, Arduino, CATIA, Hand Tools
Math Research Repository
In collaboration with Jospeh Chen, I developed procedures for statistics and machine learning for math research.
Areas: Nonparametric Statistics, Machine Learning, Microeconomics, Bayesian Analysis
Skills: Python, Sci-kit Learn, Keras, Technical Writing, Scipy, Matplotlib