• This project finds a model to classify the 10 types of sounds using the UrbanSound8K dataset and machine learning algorithms. By researching the best way of extracting sound features and avoiding overfitting in the training process, we carry out the experiments with various machine learning algorithms and then analyze their classification accuracies.
• My role was creating the codes for data processing, which extracts the features from audio files to construct samples for machine learning algorithms. In addition, storing the samples in PostgresSQL, creating codes for machine learning process and analyzing the experiment results and making the project page to provide a detailed explanation of what we’ve done.
• Tools: Python (Colab notebook, jupyter notebook), Matplotlib. PostgresSQL, Spark, Sklearn

• This project develops a consolidated dashboard of NC county employment statistics for multiple years for each county.
• My role was collecting data from census.gov using API calls, cleaning the data, and developing Flask APIs to retrieve the data. Also, using ChartJS library, I created javascript codes to represent the bar and line charts.
• Tools: Python (jupyter notebook), D3, Leaflet, Flask API, MongoDB, JavaScript, Bootstrap

• Extract, Transform and Load data - the datasets for energy consumption, production and renewable energy in the USA.
• My role was navigating the datasets, combining, cleaning the tables and storing them in PostgreSQL
• Tools: Python, PostgreSQL, SqlAlchemy

• This project reviews the international soccer data in the European league to check the common assumption-home team has advantage is real.
• My role was collecting attendance data (csv, api), creating python codes for data cleaning and analyzing the relation between the attendance and the scores.
• Tools: Python (jupyter notebook), Matplotlib. API

• Performed joint research on number theory problems with Professor Hoon Hong
• Served as an external member on a doctoral dissertation committee for two doctoral candidates
• Key Accomplishments: 2 technical reports and one article, submitted to Journal of Number Theory (click for detail)

• Led the research projects about Algorithms in Cryptography.
• Taught the classes on cryptography for undergraduate and graduate students.
• Served as a referee for the publications of research articles submitted to AsiaCrypt, ICISC, SCN, Systems & Software, and Human Tech Thesis Prize
• Key Accomplishments: 7+ peer reviewed paper publications in number theory journals and cryptography journals (click for detail) and PI of the grant 'Basic Science Research Program'

A 24-week intensive program focused on gaining technical programming skills in Excel, VBA, Python, R, JavaScript, SQL Databases, Tableau, Big Data, and Machine Learning

Dissertation: Computation of Tate pairing on hyperelliptic curves and its applications - developing algorithms for the efficient Tate pairing-based cryptosystem, proposing a key agreement protocol as an application, and analyzing the efficiency by implementing the algorithms in C