Reviewed research on interpretable deep reinforcement learning for energy storage management, examining how interpretable models can explain the decisions of black-box reinforcement learning policies.
Reviewed foundational research on dropout, a regularization technique designed to reduce overfitting and improve neural network generalization.
Conducted a research project using natural language processing to analyze graduate career trajectories and identify employment patterns across job categories and industries.
Explored AI-based emotion detection through facial expressions and speech, investigating how visual and audio information can be used to recognize emotional patterns.
Developed the website for Sers Chborng (The Mentor), an education and mentorship initiative connecting Cambodian students with scholarship information and higher education guidance.
Developed an entrepreneurial project for a startup competition centered on books and digital learning.
Explored a social innovation concept focused on using digital technology to support community learning, knowledge sharing, and skills development.
Developed a course project focused on software-based cafe management and the use of technology to support business operations.
Worked on a mobile application for Sers Chborng (The Mentor), extending the initiative’s digital presence and supporting its mission to improve access to scholarship and educational guidance.
Conducted a research project on vehicle detection using Single Shot MultiBox Detector (SSD), a deep learning-based object detection method, as part of an international research internship.