News & Events
Best Presentations Awards, ICBDA
William Brower (CS major, class of 2020), Christopher Davidson (MS student), and Anasse Bari have received the "Best Presentation Award" in the machine learning track at the IEEE Conference on Big Data and Analytics (ICBDA), for their paper "Using Artificial Intelligence to Predict Legislative Votes in the U.S. Congress.''
Doruk Kilitcioglu (MS 2019), Nicholas Greenquist (MS 2019), Mohamed Zahran, and Anasse Bari, have received the "Best Presentation Award" in the information network and application technology track at ICBDA for their paper "GPU Accelerated Matrix Factorization for Recommender Systems".