Outstanding Student Research at AI and Data Science Showcase
On December 2, the Department of Computer Science and the Hewlett Packard Enterprise Data Science Institute hosted the AI and Data Science Showcase. The event highlights student research in artificial intelligence, machine learning, deep learning, and neural networks.
Claudia Neuhauser, director of HPE DSI, opened the showcase with remarks on the institute's mission and encouraged students to embrace such opportunities to advance their research skills. 26 undergraduate teams presented their research, and a panel of judges evaluated each project on innovation, feasibility, impact, and presentation. Five winning teams were selected and received certificates of achievement.
The showcase celebrated the creativity of UH undergraduate students and the University’s commitment to fostering cross-disciplinary collaboration and innovation in the rapidly evolving fields of AI and data science.
First Place
Team: Victoria Bayang, Phuong Ly, Zoubida H. Rezki, Matthew Yoon
Project Title: Predicting Breast Cancer Type with mRNA data and FNN
Second Place
Team: David Colin Cooper, Victor R. Elkins, Victor Adrian Lopez, Trang N. Nguyen
Project Title: Breast Cancer Image Modelling Using Convolutional Neural Networks G-0030
Third Place
Team: Austin L. Lam, Guillermo A. Martinez Somoza, Riley S. Myers, Gabriel Zermeno
Project Title: CBIS-DDSM Breast Cancer Detection
Fourth Place
Team: Thinh Quoc Bui, Kevin H. Nguyen, Nathan Daryush Taheri, Loc Trinh
Project Title: Hyperparameter Optimization in Neural Networks for Bitcoin Price Prediction: A Comparative Study
Fifth Place
Team: Sebastian Duran, Khang Duc Duy Huynh, Andrew Q. Pham, Stephanie M. Snow
Project Title: Brain Hemorrhage Detection
Judges: Nouhad Rizk, Jerry Ebalunode, Guoning Chen, Jusvin Charles, Rohan Chaudhary, Jianyi Yang
Organizing Committee: Claudia Neuhauser, Nouhad Rizk, Andrew Kapral, Ishita Sharma