CSYE 6205 Concepts of Object-Oriented Design with C++

Research Assistant at Digital Image Lab

• Built a classification model of the brain during working memory maintenance based on the 128-channel EEG dataset for the material-specific Sternberg task

• Extracted features of EEG signals by empirical mode decomposition and phase space reconstruction

• Implemented Support Vector Machine (SVM), K-nearest neighbor (KNN), Random Forest (RF), and nested cross-validation to construct the classification model

• Improved classification performance from 71.45% to 91.82% under SVM