• Cleaned and manipulated WIFI access log dataset using python, utilized network embedding technique and group formation pattern to improve the prediction accuracy of grades• Scraped forum discussion using Selenium for text analysis and cleaned online course log data for exploratory behavioral analysis

• Face Spoofing Detection Project (Python):Built various deep learning models based on VGG16 and ResNet50 using the NUAA Photograph Imposter database; Applied data augmentation with random crops and shifts. Tested the models with live-stream video to inform the decision of returning to a feature-based model for spoofing detection• ID Document/Selfie Matching Project (Python): Wrote internet crawler to collect and manipulate image data on a large scale for model training purpose• Book Spines Detection Project (Python):Tested different line-detection and image manipulation tools such as Canny and Laplacian edge detections to better indicate book spines in bookshelf images

Digitalized English textbooks, and created practice problem-answer-explanation sets for the online English teaching program ETS100 for grades 7 to 9Provided writing, speaking, and listening practice samples for a data training system

Maintained equipment and oversaw electroencephalogram (EEG) experiments to ensure accurate data collection

Reviewed literature, designed experiment, ran participants, analyzed data using SPSS, and proofread manuscripts